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Free Download Udemy - Generative Ai In Drug Regulatory Affairs Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 677.54 MB | Duration: 1h 49m Top 5 Use Cases in Regulatory Affairs for application of Generative AI What you'll learn Application of Generative AI in Drug Regulatory Affairs Generative AI Fundmentals Use of ChatGPT for Text Processing Based Operations Implementation Details of Generative AI Applications Requirements Foundational Understanding of Drug Regulatory Affairs Description In this comprehensive tutorial, you will explore the cutting-edge application of Generative AI within the drug regulatory affairs landscape. This course dives into real-world use cases, including:Regulatory Intelligence: Automating the analysis of regulatory trends and gathering insights.Content Creation: Streamlining the generation of regulatory submission documents, labels, and reports.Language Translation: Enhancing multilingual submissions and compliance documents with AI-powered translation tools.Named Entity Recognition (NER): Extracting critical information from large datasets to improve efficiency in compliance and submissions.Data Analysis: Leveraging AI for advanced analysis and insights from clinical trials, safety data, and regulatory submissions.Besides, it will also cover use cases related to personal productivity and productivity at workplace. Amongst other topics, it will try to explain in brief, some foundational concepts of the technology behind Generative AI, products available in the market and capabilities of Generative AI in general.This course includes quiz assignments, mini-project tasks, and real-time examples to reinforce learning and allow you to practice applying these AI techniques in regulatory affairs scenarios. By the end of the course, you'll be able to identify high-impact areas for AI implementation in drug regulatory processes.Disclaimer:This training is for educational purposes only. Learners should exercise due diligence before applying any concepts in real-time business environments. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 What to Expect from the Tutorial Section 2: Let's Set the Foundations of Generative AI Lecture 3 What is Generative AI? Lecture 4 AI Vs Generative AI Lecture 5 Technology Behind Generative AI Lecture 6 Generative AI Products in the Market Lecture 7 How to find Use Cases for Generative AI Application Lecture 8 Content Creation in Regulatory Affairs Section 3: Regulatory Intelligence using Generative AI Lecture 9 Introduction - What is Regulatory Intelligence? Lecture 10 Generative AI for Regulatory Intelligence Lecture 11 Demonstration of Regulatory Intelligence with ChatGPT Lecture 12 Demonstration of Building a Custom GPT Section 4: Regulatory Translation Using Generative AI Lecture 13 Introduction - Language Translation in Regulatory Affairs Lecture 14 Translation Capability of Generative AI Lecture 15 Demonstration of Translation using Generative AI Lecture 16 Evaluation of Language Translation Lecture 17 Reverse Translation and Evaluation Section 5: Named Entity Recognition using Generative AI Lecture 18 Introduction - Named Entity Recognition (NER) in Drug Regulatory Affairs Lecture 19 Named Entity Recognition - Traditional vs Gen AI approach Lecture 20 Demonstration of Named Entity Recognition using ChatGPT Section 6: Implementing a Generative AI Solution Lecture 21 Solution Implementation Approaches Lecture 22 Step by Step Approach for Developing a Generative AI Solution Lecture 23 Fine tuning a Model Lecture 24 Integrating with Data Sources Section 7: Issues and Constraints with Generative AI Solutions Lecture 25 Issues with Generative AI - Hallucination Lecture 26 Creativity Vs Consistency - What's Important in Regulatory Affairs Lecture 27 Prompt Engineering - Remediating Hallucination Lecture 28 Content Grounding - Remediating Hallucination Section 8: Conclusion Lecture 29 Thank you Drug Regulatory Affairs Professionals,Pharmacovigilance Professionals,Pharmaceutical Professionals,IT Professionals working in Drug Regulatory Affairs Screenshot Homepage https://www.udemy.com/course/generative-ai-in-drug-regulatory-affairs/ Rapidgator https://rg.to/file/f4f5c065f01a677a60320a46bbee2eb0/zcrey.Generative.Ai.In.Drug.Regulatory.Affairs.rar.html Fikper Free Download https://fikper.com/LTU56GyUTz/zcrey.Generative.Ai.In.Drug.Regulatory.Affairs.rar.html No Password - Links are Interchangeable

Free Download Trading With Generative Ai Design And Automate Strategies Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.47 GB | Duration: 5h 18m Create trading strategies and bots with custom ChatGPT, no programming required. Compatible with MetaTrader 5 and other What you'll learn Learn to create algorithmic trading bots using AI without needing to program Design and analyze trading strategies using generative artificial intelligence Program in any language and platform with the help of ChatGPT Set up and deploy your bots in MetaTrader 5 for automated trading Discover key fundamentals of programming in MQL5 Perform backtesting and optimize your bots using historical data Combine AI with MetaTrader 5 to automate and improve your trading Access pre-configured bots and use AI tools to maximize your results Requirements Basic knowledge of trading No programming experience required No prior experience with artificial intelligence needed Willingness to learn and apply new technological tools Description Do you want to learn how to create trading strategies and bots with generative AI in just minutes without needing to know how to program?Great, you're in the right place!In this course, you won't just learn the theory-I will guide you step by step through developing automated trading systems from scratch, using generative artificial intelligence, without needing to be a programmer.By the end of the course, you'll be fully equipped to design and automate your own trading strategies and trade effectively in financial markets.I don't just talk about it-I live it every day!I manage multiple automated trading portfolios, and in this course, I'll share with you the fastest and most direct process I've found to create and automate trading strategies with generative AI that work in the real world.Now, I want to share everything I've learned with you, so you can apply this knowledge and achieve results in record time.I won't just tell you how it's done-I'll show you a method that combines artificial intelligence with specialized trading platforms to create profitable bots.We'll use AI for designing, analyzing, and programming strategies, applicable to any platform that supports algorithmic trading, including MetaTrader 5 (MQL5), MetaTrader 4 (MQL4), TradeStation (EasyLanguage), TradingView (Pine Script), NinjaTrader (NinjaScript), cTrader (cAlgo), Python, and more.This course allows you to achieve in just 5 hours what other courses take 20 hours to teach.WHAT WILL YOU LEARN IN THIS COURSE?How to create trading bots in minutes without knowing how to program.How to design automated strategies using customized versions of ChatGPT.The setup and use of MetaTrader 5 for automated trading.How to program bots using the MQL5 language (without needing to master the whole language).Backtesting and optimization of your strategies to maximize results.Deployment and operation of bots in real markets: forex, cryptocurrencies, stocks, commodities, and more.This course is divided into four sections:Section 1: Creating trading systems with generative AI (1h 40min)You'll learn how to use generative AI tools to design a profitable strategy, analyze it with historical data, and automate it into a bot for algorithmic trading, all without needing prior programming knowledge.You'll be able to generate functional bots in minutes, saving time and achieving results that would normally take weeks to develop.Does your trading platform support algorithmic trading? This section is for you.Section 2: Introduction to MetaTrader 5 and its applications (35min)You'll dive into the use of MetaTrader 5, one of the most powerful platforms for algorithmic trading, and learn how to develop applications that will take your trading to the next level.Section 3: Bot programming in MQL5 (2h)You don't need to learn the entire MQL5 programming language; I'll teach you just what you need to work with AI and generate bots that automatically execute trades for you.Section 4: Backtesting and bot deployment (45min)We'll conduct tests using historical data to validate the strategies and bots generated, ensuring they're ready to trade in the real world. Additionally, we'll deploy these bots so they can trade automatically in the markets you choose.WHAT MAKES THIS COURSE UNIQUE?Automation without programming: In minutes, you'll be able to create trading bots, without prior programming experience, powered by AI.Quick and efficient results: What you'll learn in this course in just 5 hours is equivalent to 20 hours of other courses, saving you time and providing faster results.Profitable bots based on real data: The AI will generate bots that apply profitable trading strategies proven effective in the past.Exclusive resources: We provide you with pre-generated bots and access to AI conversations, so your learning is as smooth and effective as possible.Multi-platform compatibility: Although we focus on MetaTrader 5, the concepts you learn will be applicable on any trading platform.Continuous support: You'll have my assistance and the help of our AI tools at all times to ensure your success.WHO IS THIS COURSE FOR?This course is ideal for both beginner traders looking to automate their trading without prior knowledge and experienced traders who want to incorporate artificial intelligence into their strategies.If you already have experience in algorithmic trading, the first part of the course (1h 40min) will be enough for you to master the AI tools.If you're looking to dive deeper into MetaTrader 5 and its automation, the next 3h 20min will give you the essential insights you need.MONEY-BACK GUARANTEEBefore you continue, I want you to know that I don't want you to feel disappointed.If for any reason this course doesn't meet your expectations, you can request a full refund within the first 30 days, backed by Udemy's guarantee. No questions asked. This is my personal promise that I am committed to helping you succeed.Now is the perfect time to learn algorithmic trading and automate your operations with artificial intelligence!Enroll now and start benefiting from the power of Generative AI today.José Martínez Overview Section 1: Generative AI Process to Automate Trading Strategies Lecture 1 Disclaimer Lecture 2 Introduction to LLM GenAI and ChatGPT Lecture 3 Building trading systems with Generative AI Lecture 4 Exploring the GenAI phases of the process Lecture 5 First steps with ChatGPT Lecture 6 First steps with Greaterwaves GPTs Lecture 7 Phase 1: Designing a profitable strategy Lecture 8 Phase 2.1: Getting historical data Lecture 9 Phase 2.2: Initial backtest of the strategy Lecture 10 Phase 3: Coding the bot/strategy Lecture 11 Phase 4: Final backtest Lecture 12 Conclusion Section 2: Introduction to MetaTrader 5 Lecture 13 Introduction to section 2 Lecture 14 Technologies for algorithmic trading Lecture 15 Introduction to MetaTrader 5 Lecture 16 Position accounting systems Lecture 17 Opening an account in MT5 (i) Lecture 18 Opening an account in MT5 (ii) Lecture 19 MQL5 applications Lecture 20 Introduction to Metaeditor Section 3: Learning the MetaTrader 5 Programming Language for Prompting the AI Lecture 21 Introduction to section 3 Lecture 22 Coding a program Lecture 23 Sintaxis Lecture 24 Variables and data types Lecture 25 Variable scope Lecture 26 Operations Lecture 27 Choice and loop operators Lecture 28 Functions Lecture 29 Classes and objects Lecture 30 Preprocessor directives Lecture 31 Event handlers Lecture 32 Workflow of an expert advisor Lecture 33 Understanding the template to code bots with GenAI Section 4: Backtesting and Deployment of Expert Advisors with MetaTrader 5 Lecture 34 Introduction to section 4 Lecture 35 Backtesting in MT5 Lecture 36 Optimization in MT5 Lecture 37 Optimization: risk of overfitting Lecture 38 MT5 set-up for algorithmic trading Lecture 39 Validating the expert advisor Lecture 40 Secure your trading with a VPS Lecture 41 Course conclusion Lecture 42 Bonus lecture Traders of any experience level who want to automate their trading strategies,Traders looking to enhance their trading performance using generative AI and automation,Anyone interested in integrating artificial intelligence into their trading process, with no prior programming knowledge required,Traders who want to learn how to use MetaTrader 5 to deploy and operate automated bots Screenshot Homepage https://www.udemy.com/course/algorithmic-trading-with-generative-ai-automate-strategies/ Rapidgator https://rg.to/file/7cc981d630e105e3f2976ec7c90183a8/mlibi.Trading.With.Generative.Ai.Design.And.Automate.Strategies.part1.rar.html https://rg.to/file/c018b62856b85dcfcb4f9a1add6e581e/mlibi.Trading.With.Generative.Ai.Design.And.Automate.Strategies.part2.rar.html https://rg.to/file/ecc33670f473611ff453b60794718452/mlibi.Trading.With.Generative.Ai.Design.And.Automate.Strategies.part3.rar.html Fikper Free Download https://fikper.com/3DHhQXLpt3/mlibi.Trading.With.Generative.Ai.Design.And.Automate.Strategies.part2.rar.html https://fikper.com/O4AGN7d3AO/mlibi.Trading.With.Generative.Ai.Design.And.Automate.Strategies.part1.rar.html https://fikper.com/uFfwnQnE1m/mlibi.Trading.With.Generative.Ai.Design.And.Automate.Strategies.part3.rar.html No Password - Links are Interchangeable

Free Download Securing Generative AI By Omar Santos Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 3h 31m | Size: 846 MB Course Outline Securing Generative AI: Introduction 3m Learning objectives 1m 18s 1.1 Understanding the Significance of LLMs in the AI Landscape 7m 6s 1.2 Exploring the Resources for this Course - GitHub Repositories and Others 2m 54s 1.3 Introducing Retrieval Augmented Generation (RAG) 12m 25s 1.4 Understanding the OWASP Top-10 Risks for LLMs 5m 46s 1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework 5m 39s Learning objectives 1m 2s 2.1 Defining Prompt Injection Attacks 11m 42s 2.2 Exploring Real-life Prompt Injection Attacks 3m 57s 2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input 10m 5s 2.4 Enforcing Privilege Control on LLM Access to Backend Systems 6m 10s 2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions 3m 2s 2.6 Understanding Insecure Output Handling Attacks 3m 22s 2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling 4m 43s Learning objectives 47s 3.1 Understanding Training Data Poisoning Attacks 4m 27s 3.2 Exploring Model Denial of Service Attacks 3m 12s 3.3 Understanding the Risks of the AI and ML Supply Chain 8m 34s 3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources 12m 46s 3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environments 16m 5s Learning objectives 1m 4s 4.1 Understanding Sensitive Information Disclosure 2m 53s 4.2 Exploiting Insecure Plugin Design 3m 12s 4.3 Avoiding Excessive Agency 3m 46s Learning objectives 47s 5.1 Understanding Overreliance 5m 17s 5.2 Exploring Model Theft Attacks 4m 57s 5.3 Understanding Red Teaming of AI Models 13m 34s Learning objectives 1m 6s 6.1 Understanding the RAG, LangChain, Llama Index, and AI Orchestration 17m 25s 6.2 Securing Embedding Models 9m 39s 6.3 Securing Vector Databases 12m 1s 6.4 Monitoring and Incident Response 7m 50s Screenshot Rapidgator https://rg.to/file/fbd97167930b0c7667dc998cf9f25bbb/obqjd.Securing.Generative.AI.rar.html Fikper Free Download https://fikper.com/s6pMlDtUm4/obqjd.Securing.Generative.AI.rar.html No Password - Links are Interchangeable

Free Download Programming Generative AI By Jonathan Dinu Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18h 16m | Size: 4.1 GB From variational autoencoders to Stable Diffusion with PyTorch and Hugging Face. Overview Programming Generative AI is a hands-on tour of deep generative modeling, taking you from building simple feedforward neural networks in PyTorch all the way to working with large multimodal models capable of simultaneously understanding text and images. Along the way, you will learn how to train your own generative models from scratch to create an infinity of images, generate text with large language models similar to the ones that power applications like ChatGPT, write your own text-to-image pipeline to understand how prompt- based generative models actually work, and personalize large pretrained models like stable diffusion to generate images of novel subjects in unique visual styles (among other things). About the Instructor Jonathan Dinu is currently a content creator and artist working with deep learning and generative AI. Previously, he was a PhD student at Carnegie Mellon University before dropping out to ultimately pursue the less academic and more creative side of machine learning. He has always loved creating educational content, going back to his days as a co-founder of Zipfian Academy, an immersive data science bootcamp, where he had the opportunity to run workshops at major conferences like O'Reilly Strata and PyData, create video courses, and teach in person. Skill Level Intermediate to advanced Learn How To Train a variational autoencoder with PyTorch to learn a compressed latent space of images Generate and edit realistic human faces with unconditional diffusion models and SDEdit Use large language models such as GPT2 to generate text with Hugging Face Transformers Perform text-based semantic image search using multimodal models such as CLIP Program your own text-to-image pipeline to understand how prompt-based generative models such as Stable Diffusion actually work Properly evaluate generative models, both qualitatively and quantitatively Automatically caption images using pretrained foundation models Generate images in a specific visual style by efficiently fine-tuning Stable Diffusion with LoRA. Create personalized AI avatars by teaching pretrained diffusion models new subjects and concepts with Dreambooth. Guide the structure and composition of generated images using depth- and edge- conditioned ControlNets Perform near real-time inference with SDXL Turbo for frame-based video-to-video translation Who Should Take This Course Engineers and developers interested in building generative AI systems and applications Data scientists interested in working with state-of-the-art deep learning models Students, researchers, and academics looking for an applied or hands-on resource to complement theoretical or conceptual knowledge they may have. Technical artists and creative coders who want to augment their creative practice Anyone interested in working with generative AI who does not know where or how to start Course Requirements Comfortable programming in Python Knowledge of machine learning basics Familiarity with deep learning and neural networks will be helpful but is not required Screenshot Rapidgator https://rg.to/file/260b7280a370c6c6afce5c7a99f16d74/kytpc.Programming.Generative.AI.part3.rar.html https://rg.to/file/9313352974bf2d8e4ee43e7296dbafb0/kytpc.Programming.Generative.AI.part1.rar.html https://rg.to/file/a3b5f765137b7bc2d906749aa1502f37/kytpc.Programming.Generative.AI.part5.rar.html https://rg.to/file/bd798c19bac821e68b01e161b8c8f6c7/kytpc.Programming.Generative.AI.part4.rar.html https://rg.to/file/cf367796d57e822f35fa70d3c5d0018f/kytpc.Programming.Generative.AI.part2.rar.html Fikper Free Download https://fikper.com/AHZdEHzf8k/kytpc.Programming.Generative.AI.part1.rar.html https://fikper.com/EqPCue6MoO/kytpc.Programming.Generative.AI.part4.rar.html https://fikper.com/QXeZBidYwf/kytpc.Programming.Generative.AI.part5.rar.html https://fikper.com/kWMwq8KUlo/kytpc.Programming.Generative.AI.part3.rar.html https://fikper.com/mGYPSAeU9K/kytpc.Programming.Generative.AI.part2.rar.html No Password - Links are Interchangeable

Free Download Principles and Practices of the Generative AI Life Cycle Published 10/2024 Created by YouAccel Training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 182 Lectures ( 17h 10m ) | Size: 4.62 GB Explore key concepts, methodologies, and best practices for every stage of the GenAI life cycle. What you'll learn Key Phases of the GenAI Life Cycle: Understand the core stages of the generative AI life cycle and their significance in successful AI deployment. The Role of Governance in AI Projects: Learn about governance frameworks to ensure ethical and regulatory alignment throughout the AI life cycle. Problem Identification and Requirement Gathering: Explore strategies for defining problems and aligning GenAI solutions with business goals. Data Types and Acquisition Strategies: Gain insights into selecting and acquiring the right data for GenAI model development. Ensuring Data Quality and Ethics: Understand the importance of data accuracy, quality, and ethical considerations during the collection process. GenAI Model Design and Selection: Learn to select the most suitable generative AI models for different tasks and design custom models. Optimizing Model Performance: Discover techniques for tuning and optimizing models to achieve peak performance. Training Data Preparation and Monitoring: Explore how to prepare and select training data and monitor the training process to avoid common pitfalls. Deploying and Integrating GenAI Models: Learn best practices for integrating generative AI into existing systems and managing change effectively. Continuous Monitoring and Model Maintenance: Understand the tools and metrics needed to monitor performance and handle model drift over time. Data Privacy and Cybersecurity Measures: Gain insights into safeguarding models and data from cyber threats and ensuring compliance with privacy regulations. Auditing and Reporting AI Models: Learn to conduct performance audits, maintain transparency, and document AI life cycles for compliance. Managing AI Model Updates and Versions: Explore strategies for managing versions and implementing feedback loops for continuous improvement. Decommissioning AI Models: Understand when and how to retire models ethically while ensuring proper data and model archival strategies. User Feedback and Iterative Development: Learn to incorporate user feedback and manage iterative development cycles for ongoing improvements. Future Trends in GenAI Life Cycle Management: Gain insights into emerging technologies, AI governance trends, and innovations shaping the future of GenAI. Requirements No Prerequisites. Description This course provides a comprehensive exploration of the generative AI (GenAI) life cycle, offering students a robust understanding of the key principles and processes involved in developing, deploying, and maintaining GenAI models. Designed to provide a theoretical foundation, the course emphasizes the strategic aspects of each phase in the GenAI life cycle, ensuring parti[beeep]nts gain a nuanced perspective of how generative AI evolves from concept to deployment and beyond.Students begin by exploring the GenAI life cycle, understanding its phases, and grasping why effective management is crucial to ensuring both operational success and ethical integrity. This introductory section establishes a baseline for the more detailed discussions to come, guiding parti[beeep]nts through the various roles that stakeholders play and the essential governance frameworks that maintain alignment with regulatory standards and organizational goals.The journey continues with an in-depth analysis of problem identification and requirement gathering. Here, students learn the importance of aligning AI capabilities with business objectives, as well as the techniques for collecting and validating functional requirements with relevant stakeholders. The focus on these initial phases emphasizes the significance of groundwork in ensuring GenAI projects are goal-oriented and feasible.As students move into the stages of data collection and preparation, they engage with the critical role that data plays in training effective GenAI models. Topics such as data sourcing, quality assurance, and ethical considerations ensure parti[beeep]nts develop a deep awareness of the complexities involved in data management for AI. The course introduces students to preprocessing techniques essential for transforming raw data into valuable training inputs, reinforcing the importance of careful preparation in achieving desired outcomes.In subsequent sections, the course delves into the intricacies of model design, selection, and optimization. Students gain insights into the architectural choices for GenAI models, alongside strategies for selecting and designing models tailored to specific tasks. Performance tuning and stakeholder validation are also explored, emphasizing the collaborative and iterative nature of GenAI development. The discussions on model training build on these concepts, highlighting the technical challenges and troubleshooting strategies necessary to refine models effectively.The deployment phase addresses the complexities of integrating GenAI systems into existing infrastructures and ensuring scalability. Students learn how to prepare for deployment, manage change, and implement continuous monitoring processes post-deployment. Emphasis is placed on the importance of real-time monitoring to detect issues such as model drift, providing insights into how organizations can maintain optimal performance throughout the model's lifecycle.The course also covers data and model security, focusing on safeguarding models from cyber threats and ensuring compliance with data privacy regulations. Techniques such as encryption, incident response, and security control implementation offer parti[beeep]nts practical strategies to secure GenAI applications. Model auditing and reporting are presented as essential tools for promoting transparency, documenting compliance, and building stakeholder trust.Long-term model maintenance and eventual decommissioning are also discussed, providing students with insights into how models are updated, managed, and retired in a controlled and ethical manner. This section highlights the importance of feedback loops, version control, and strategic model updates in ensuring continued relevance and operational efficiency.The course concludes with a look into future trends and the evolving landscape of GenAI life cycle management. Topics include the impact of emerging technologies, the role of automation in lifecycle processes, and the shift toward AI-driven governance. These discussions encourage students to think critically about the future of generative AI and its potential to shape industries while maintaining ethical and sustainable practices.Through this comprehensive exploration, students will develop the theoretical understanding necessary to appreciate the intricacies of the GenAI life cycle. This knowledge equips them to engage thoughtfully with the evolving field, fostering an informed perspective on the challenges and opportunities that lie ahead. Who this course is for AI Enthusiasts and Tech Professionals - Individuals interested in understanding the complete lifecycle of generative AI models and their practical applications. Business Leaders and Managers - Professionals seeking to align AI capabilities with business strategies for innovation and competitive advantage. Data Scientists and AI Developers - Those looking to deepen their knowledge of model selection, optimization, and integration within real-world contexts. Governance and Compliance Officers - Individuals responsible for implementing AI governance frameworks and ensuring ethical compliance in AI systems. IT and System Administrators - Professionals managing the deployment, monitoring, and maintenance of AI solutions across organizational infrastructures. Consultants and Project Managers - Those leading AI initiatives who need a solid grasp of requirement gathering, stakeholder alignment, and lifecycle management. Students and Academics in AI and Data Science - Learners aiming to build a theoretical foundation in generative AI to support future research or professional practice. 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Free Download Principles Of Governance In Generative AI Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.94 GB | Duration: 16h 57m Navigating Risks, Compliance, and Ethics for Responsible Generative AI What you'll learn The Fundamentals of Generative AI (GenAI): Understand the core concepts and transformative potential of GenAI technology. The Importance of Governance in AI: Explore why governance frameworks are essential for managing AI innovations responsibly. Risk Identification and Management: Learn to identify, assess, and mitigate risks associated with deploying GenAI systems. Third-Party Risk Management: Gain insight into evaluating and monitoring external partnerships to reduce third-party risks. Vendor Compliance Strategies: Develop skills to ensure that vendors align with governance and security policies. Data Leakage Prevention: Understand the risks of data leakage and explore methods to protect sensitive information in AI workflows. Data Governance Frameworks: Learn how to define data ownership, stewardship, and retention policies for AI systems. Regulatory Compliance in AI: Explore key regulations affecting GenAI, including strategies for managing compliance across jurisdictions. Access Control Implementation: Gain practical insights into role-based access controls to secure GenAI applications. User Awareness and Training Programs: Discover effective strategies for developing user training and awareness initiatives. Monitoring User Behavior: Learn how to monitor GenAI system usage to detect anomalies and prevent misuse. Identity Governance for AI Systems: Understand how to manage user identities and authentication securely in AI platforms. Incident Response Planning: Develop strategies to respond effectively to AI-related incidents and conduct post-incident analysis. Ethical Considerations in GenAI: Explore the ethical challenges in AI governance, focusing on transparency, fairness, and bias mitigation. Governance of Approved Applications: Learn how to evaluate and update approved GenAI tools to align with evolving policies. Future Trends in GenAI Governance: Gain insights into emerging technologies, AI regulation trends, and the future of AI governance practices. Requirements No Prerequisites. Description This course offers a comprehensive exploration of governance frameworks, regulatory compliance, and risk management tailored to the emerging field of Generative AI (GenAI). Designed for professionals seeking a deeper understanding of the theoretical foundations that underpin effective GenAI governance, this course emphasizes the complex interplay between innovation, ethics, and regulatory oversight. Students will engage with essential concepts through a structured curriculum that delves into the challenges and opportunities of managing GenAI systems, equipping them to anti[beeep]te risks and align AI deployments with evolving governance standards.The course begins with an introduction to Generative AI, outlining its transformative potential and the importance of governance to ensure responsible use. Parti[beeep]nts will examine key risks associated with GenAI, gaining insight into the roles of various stakeholders in governance processes. This early focus establishes a theoretical framework that guides students through the complexities of managing third-party risks, including the development of vendor compliance strategies and continuous monitoring of external partnerships. Throughout these sections, the curriculum emphasizes how thoughtful governance not only mitigates risks but also fosters innovation in AI applications.Parti[beeep]nts will explore the intricacies of regulatory compliance, focusing on the challenges posed by international legal frameworks. This segment highlights strategies for managing compliance across multiple jurisdictions and the importance of thorough documentation for regulatory audits. The course also covers the enforcement of access policies within GenAI applications, offering insight into role-based access and data governance strategies that secure AI environments against unauthorized use. These discussions underscore the need for organizations to balance security and efficiency while maintaining ethical practices.Data governance is a recurring theme, with modules that explore the risks of data leakage and strategies for protecting sensitive information in GenAI workflows. Students will learn how to manage data rights and prevent exfiltration, fostering a robust understanding of the ethical implications of data use. This section also introduces students to identity governance, illustrating how secure authentication practices and identity lifecycle management can enhance the security and transparency of AI systems. Parti[beeep]nts will be encouraged to think critically about the intersection between privacy, security, and user convenience.Risk modeling and management play a central role in the curriculum, equipping students with the tools to identify, quantify, and mitigate risks within GenAI operations. The course emphasizes the importance of proactive risk management, presenting best practices for continuously monitoring and adapting risk models to align with organizational goals and ethical standards. This focus on continuous improvement prepares students to navigate the dynamic landscape of AI governance confidently.Parti[beeep]nts will also develop skills in user training and awareness programs, learning how to craft effective training initiatives that empower users to engage with GenAI responsibly. These modules stress the importance of monitoring user behavior and maintaining awareness of best practices in AI governance, further strengthening the theoretical foundation of the course. Through this emphasis on training, students will gain practical insights into how organizations can foster a culture of responsible AI use and compliance.As the course concludes, students will explore future trends in GenAI governance, including the integration of governance frameworks within broader corporate strategies. The curriculum encourages parti[beeep]nts to consider how automation, blockchain, and emerging technologies can support AI governance efforts. This forward-looking approach ensures that students leave with a comprehensive understanding of how governance practices must evolve alongside technological advancements.This course offers a detailed, theory-based approach to GenAI governance, emphasizing the importance of thoughtful risk management, compliance, and ethical considerations. By engaging with these critical aspects of governance, parti[beeep]nts will be well-prepared to contribute to the development of responsible AI systems, ensuring that innovation in GenAI aligns with ethical principles and organizational goals. Overview Section 1: Course Resources and Downloads Lecture 1 Course Resources and Downloads Section 2: Introduction to Generative AI (GenAI) Governance Lecture 2 Section Introduction Lecture 3 What is Generative AI? Lecture 4 Case Study: Bridging Creativity and Ethics in Digital Art and Music Lecture 5 The Importance of Governance in GenAI Lecture 6 Case Study: Navigating GenAI Governance Lecture 7 Overview of GenAI Risks Lecture 8 Case Study: Navigating Ethical and Practical Challenges in Generative AI Lecture 9 Key Stakeholders in GenAI Governance Lecture 10 Case Study: Navigating GenAI in Healthcare Lecture 11 Governance Frameworks for GenAI Lecture 12 Case Study: Building Ethical AI Lecture 13 Section Summary Section 3: Understanding Third-Party Risk Management in GenAI Lecture 14 Section Introduction Lecture 15 Defining Third-Party Risk Lecture 16 Case Study: Navigating Third-Party Risks Lecture 17 Identifying and Assessing Third-Party Risks Lecture 18 Case Study: Managing Third-Party Risks in Generative AI Lecture 19 Mitigating Third-Party Risks in GenAI Applications Lecture 20 Case Study: Enhancing Third-Party Risk Management in AI Lecture 21 Vendor Compliance in GenAI Systems Lecture 22 Case Study: Mastering Vendor Compliance Lecture 23 Continuous Monitoring of Third-Party Relationships Lecture 24 Case Study: Enhancing GenAI Innovation Lecture 25 Section Summary Section 4: Data Leakage Protection in GenAI Systems Lecture 26 Section Introduction Lecture 27 Understanding Data Leakage in GenAI Lecture 28 Case Study: Addressing Data Leakage in Generative AI Lecture 29 Data Leakage Risks in Generative AI Models Lecture 30 Case Study: Navigating Data Privacy Challenges in Generative AI Lecture 31 Protecting Sensitive Data in GenAI Workflows Lecture 32 Case Study: Balancing Innovation and Security Lecture 33 Data Rights Management in GenAI Lecture 34 Case Study: Balancing GenAI Innovation and Data Rights Lecture 35 Preventing Data Exfiltration in GenAI Lecture 36 Case Study: Strategies for Protecting Sensitive Data in GenAI Lecture 37 Section Summary Section 5: Regulatory Compliance in Generative AI Lecture 38 Section Introduction Lecture 39 Overview of Regulatory Compliance for AI Systems Lecture 40 Case Study: Navigating AI Governance Lecture 41 Key Regulations Affecting GenAI Governance Lecture 42 Case Study: Navigating GenAI Innovation Lecture 43 Compliance Strategies for GenAI Applications Lecture 44 Case Study: Navigating Compliance Challenges in GenAI Lecture 45 Managing Compliance Across Jurisdictions Lecture 46 Case Study: Navigating AI Innovation and Compliance Lecture 47 Reporting and Documentation for Regulatory Audits Lecture 48 Case Study: Navigating Compliance Lecture 49 Section Summary Section 6: Enforcing Access Policies for GenAI Applications Lecture 50 Section Introduction Lecture 51 Access Control Fundamentals for GenAI Lecture 52 Case Study: Adaptive Access Control Strategies for GenAI Lecture 53 Implementing Role-Based Access in GenAI Lecture 54 Case Study: Enhancing Security Lecture 55 Restricting Unauthorized Access to GenAI Tools Lecture 56 Case Study: Enhancing GenAI Security Lecture 57 Enforcing Data Access Policies Lecture 58 Case Study: Navigating Data Governance in GenAI Lecture 59 Access Review and Revocation Processes Lecture 60 Case Study: Optimizing Access Management for GenAI Security Lecture 61 Section Summary Section 7: User Awareness and Training for GenAI Lecture 62 Section Introduction Lecture 63 The Role of User Training in GenAI Governance Lecture 64 Case Study: Navigating Ethical Challenges in GenAI Lecture 65 Developing Effective GenAI User Awareness Programs Lecture 66 Case Study: Empowering Ethical AI Use Lecture 67 Common User Missteps in GenAI Usage Lecture 68 Case Study: Strategic GenAI Integration Lecture 69 Best Practices for Training on GenAI Use Policies Lecture 70 Case Study: Navigating Ethical AI Implementation and Training Challenges Lecture 71 Monitoring and Updating User Training Programs Lecture 72 Case Study: Enhancing GenAI Integration Lecture 73 Section Summary Section 8: Approved and Disapproved GenAI Applications Lecture 74 Section Introduction Lecture 75 Identifying Safe GenAI Tools Lecture 76 Case Study: Navigating Bias and Ethics Lecture 77 Evaluating GenAI Applications for Governance Compliance Lecture 78 Case Study: Navigating AI Governance Lecture 79 Risks of Unapproved GenAI Applications Lecture 80 Case Study: Navigating Ethical AI Lecture 81 Approval Processes for GenAI Tools Lecture 82 Case Study: TechNova's Journey to Responsible GenAI Deployment Lecture 83 Updating and Communicating Approved Applications Lecture 84 Case Study: TechNova's Journey in Responsible Innovation and Governance Lecture 85 Section Summary Section 9: Identity Governance in GenAI Systems Lecture 86 Section Introduction Lecture 87 Understanding Identity Governance for AI Lecture 88 Case Study: Balancing Privacy, Compliance, and Ethics in Identity Management Lecture 89 Managing User Identities in GenAI Platforms Lecture 90 Case Study: Navigating Identity Management Challenges in GenAI Lecture 91 Ensuring Secure Authentication in GenAI Applications Lecture 92 Case Study: Balancing Authentication, User Convenience, and Privacy Lecture 93 Identity Lifecycle Management in GenAI Lecture 94 Case Study: Navigating Identity Lifecycle Management in Generative AI Systems Lecture 95 Addressing Identity Risks in GenAI Lecture 96 Case Study: Identity Governance Challenges in GenAI Lecture 97 Section Summary Section 10: Risk Modeling and Management for GenAI Lecture 98 Section Introduction Lecture 99 Introduction to Risk Modeling in GenAI Lecture 100 Case Study: Navigating Risks in Generative AI Lecture 101 Identifying Key Risks in GenAI Operations Lecture 102 Case Study: Balancing Innovation, Bias Mitigation, and Workforce Stability Lecture 103 Quantifying and Prioritizing GenAI Risks Lecture 104 Case Study: Balancing Innovation with Ethical Risk Management at TechNova Lecture 105 Strategies for Mitigating GenAI Risks Lecture 106 Case Study: Navigating Ethical and Operational Challenges in GenAI Deployment Lecture 107 Monitoring and Adapting Risk Models Lecture 108 Case Study: TechNova's Holistic Approach to Risk Management and Innovation Lecture 109 Section Summary Section 11: Data Governance for Generative AI Systems Lecture 110 Section Introduction Lecture 111 The Importance of Data Governance in GenAI Lecture 112 Case Study: Navigating Data Governance and Ethics in GenAI Lecture 113 Defining Data Ownership and Stewardship in GenAI Lecture 114 Case Study: Navigating Data Governance Challenges in GenAI Lecture 115 Data Integrity and Accuracy in GenAI Systems Lecture 116 Case Study: TechNova's Journey to Ethical and Reliable AI Data Management Lecture 117 Policies for Data Retention and Deletion in GenAI Lecture 118 Case Study: Balancing Compliance and Innovation Lecture 119 Auditing Data Governance Practices in GenAI Lecture 120 Case Study: Enhancing Trust through Comprehensive Data Governance in AI Lecture 121 Section Summary Section 12: User Behavior Monitoring in GenAI Systems Lecture 122 Section Introduction Lecture 123 Monitoring User Activity in GenAI Platforms Lecture 124 Case Study: MedSys's GenAI Integration in Healthcare Diagnostics Lecture 125 Identifying Anomalous Behavior in GenAI Use Lecture 126 Case Study: Enhancing Anomaly Detection in GenAI Systems Lecture 127 Tools for Tracking GenAI User Activity Lecture 128 Case Study: Balancing Ethical AI and Privacy Lecture 129 Privacy Considerations in User Monitoring Lecture 130 Case Study: Balancing Innovation and Privacy Lecture 131 Responding to Suspicious Behavior in GenAI Lecture 132 Case Study: Balancing Trust, Privacy, and Collaborative Defense Strategies Lecture 133 Section Summary Section 13: Acceptable Use Policies for GenAI Applications Lecture 134 Section Introduction Lecture 135 Defining Acceptable Use for GenAI Lecture 136 Case Study: Crafting Responsible GenAI Use Lecture 137 Crafting Comprehensive Use Policies for GenAI Lecture 138 Case Study: Developing Responsible GenAI Policies Lecture 139 Educating Users on Acceptable Use Policies Lecture 140 Case Study: Crafting a Balanced AUP Lecture 141 Enforcing Acceptable Use Guidelines Lecture 142 Case Study: Ethical Governance Strategies for GenAI Lecture 143 Revising Acceptable Use Policies Lecture 144 Case Study: Navigating AI Ethics Lecture 145 Section Summary Section 14: Incident Response and Management for GenAI Systems Lecture 146 Section Introduction Lecture 147 Defining GenAI Incidents Lecture 148 Case Study: Navigating GenAI Challenges Lecture 149 Incident Response Planning for GenAI Applications Lecture 150 Case Study: Enhancing GenAI Safety Lecture 151 Key Steps in Managing GenAI Incidents Lecture 152 Case Study: TechNova's Strategic Response to GenAI Incident Lecture 153 Post-Incident Analysis and Reporting Lecture 154 Case Study: Enhancing AI Governance Lecture 155 Lessons Learned from GenAI Incidents Lecture 156 Case Study: Ensuring AI Accountability Lecture 157 Section Summary Section 15: Ethical Considerations in GenAI Governance Lecture 158 Section Introduction Lecture 159 Ethical Challenges in Generative AI Lecture 160 Case Study: Navigating Ethical Challenges of GenAI in Newsrooms Lecture 161 Ensuring Transparency and Fairness in GenAI Lecture 162 Case Study: Balancing Innovation and Ethics Lecture 163 Bias Mitigation in GenAI Outputs Lecture 164 Case Study: Tackling Bias in Generative AI Lecture 165 Responsible AI Practices and GenAI Governance Lecture 166 Case Study: TechNova's Journey Towards Responsible Innovation and Governance Lecture 167 Ethical Audits for GenAI Systems Lecture 168 Case Study: Navigating Ethical Challenges in Generative AI Lecture 169 Section Summary Section 16: Future Trends and Innovations in GenAI Governance Lecture 170 Section Introduction Lecture 171 Emerging Technologies in GenAI Governance Lecture 172 Case Study: Blockchain and Ethical AI Lecture 173 AI Regulation and Policy Trends Lecture 174 Case Study: Global AI Regulation Lecture 175 Integrating AI Governance into Broader Corporate Governance Lecture 176 Case Study: Integrating AI Governance Lecture 177 Automation and AI Governance Tools Lecture 178 Case Study: Navigating AI Governance: Transparency, Fairness, and Privacy Lecture 179 The Future of GenAI Governance Practices Lecture 180 Case Study: InnovateAI: Crafting a Global Framework for Responsible GenAI Lecture 181 Section Summary Business Leaders and Executives seeking to align AI innovation with governance frameworks and ethical practices.,AI and Data Governance Professionals responsible for developing policies and managing risks associated with Generative AI systems.,Compliance Officers and Legal Advisors aiming to understand the regulatory landscape and ensure compliance with AI laws across jurisdictions.,IT Managers and System Administrators involved in the implementation, monitoring, and security of AI platforms.,Risk Management Professionals looking to enhance their skills in assessing and mitigating risks specific to AI technologies.,Educators and Researchers in AI Ethics and Policy interested in the latest governance strategies and frameworks for responsible AI use.,Tech Enthusiasts and Consultants who want to stay ahead of trends in AI governance to better advise businesses and organizations. 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Free Download Powerpoint Business Presentations With Chatgpt Generative Ai Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.01 GB | Duration: 0h 40m Usage of ChatGPT and Generative AI tools for preparing of Microsoft PowerPoint presentations and business pitch decks What you'll learnChatGPT Generative AI usage ChatGPT Prompt Template usage for Crafting PowerPoint Outline Enhancing Presentation Design using PowerPoint Designer Generate a Presentation Outline using ChatGPT Moving Presentation Content from ChatGPT to PowerPoint using VBA Writing ChatGPT Prompts for Crafting Outline for a Presentation RequirementsFor a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning. DescriptionWelcome to course: PowerPoint Business Presentations with ChatGPT Generative AI by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 215 countries and has been chosen by more than 590 000 students with more than 3.2 mln. registrations to our courses.Course Author:Vipesh Singla, MBA, Agile Enterprise Coach, AI ExpertEmbark on a journey of transformation with Vipesh Singla, a seasoned Agile Enterprise Coach with an impressive track record. Certified and licensed as a SAFe Agile Coach and SAFe Practice Consultant, I bring a wealth of experience to the table.Throughout my career, I have played pivotal roles in Agile Transformations and Product Management Assignments for a diverse array of Global 2000 companies. Notably, I've collaborated with esteemed clients and employers from prestigious groups such as GAFAM, Big 4, Big Tech, Big Pharma, Fortune 100, and FTSE 100. My versatility shines through various roles, including Product Manager, Product Owner, Scrum Master, and Agile Coach.Education forms the foundation of my expertise, holding both an MBA and a Bachelor of Engineering degree from one of India's prestigious institutes. As a certified SAFe SPC/Agile Coach, I bring a proven track record of driving successful Agile transformations.With a track record that speaks volumes, I am proud to be at the forefront of Agile and Scrum coaching. Boasting a remarkable achievement of over 30,000 registrations across all my programs, I have had the privilege of influencing and guiding a diverse community of 18,000 unique students.My digital presence extends globally, reaching enthusiasts and professionals in 152 countries. This widespread outreach has allowed me to connect with a vast audience, transcending language barriers. Our community is not confined to English alone; we thrive in a multilingual environment, with students conversing in 42 languages.As an Agile Enterprise Coach, my commitment is to empower individuals worldwide with the knowledge and skills necessary for success in the dynamic field of product management. Join me on this transformative journey, and let's navigate the realm of Agile Product Management together.This course will revolutionize your presentation creation workflow by integrating the power of AI through ChatGPT and PowerPoint Designer. You'll learn to leverage cutting-edge AI tools to streamline your process, enhance your design, and ultimately deliver more impactful presentations.We'll cover a range of techniques, including:Crafting compelling presentation outlines with ChatGPT prompt templates: Learn how to effectively communicate your presentation goals to ChatGPT and generate comprehensive, structured outlines.Enhancing presentation design with PowerPoint Designer: Discover how to utilize PowerPoint Designer to effortlessly elevate the visual appeal of your slides with intelligent design suggestions.Generating complete presentation outlines using ChatGPT: Go beyond basic outlines and have ChatGPT generate fully-fleshed out presentations with text and visual prompts.Moving presentation content from ChatGPT to PowerPoint using VBA: Automate the transfer of your ChatGPT generated content into PowerPoint, saving valuable time and effort.Writing effective ChatGPT prompts for crafting presentation outlines: Master the art of prompt engineering to extract the most relevant and creative outputs from ChatGPT.Why is this important?In fast-paced world, the ability to deliver clear, concise, and engaging presentations is a critical skill. AI tools like ChatGPT and PowerPoint Designer are transforming the way we create and deliver presentations. By mastering these tools, you can:Boost your productivity: Automate tedious tasks and generate content quickly, freeing up time for higher-level thinking and strategy.Enhance your creativity: Overcome creative blocks and explore new design possibilities with AI-powered suggestions.Improve your presentation quality: Create more polished, professional, and persuasive presentations that captivate your audience.Gain a competitive edge: Stay ahead of the curve by adopting cutting-edge AI technology and demonstrating your adaptability to new tools.This course will equip you with the knowledge and skills to harness the power of AI and elevate your presentations to new heights. Join us and unlock the future of presentation creation! OverviewSection 1: Introduction Lecture 1 Onboarding to learning process Section 2: AI & ChatGPT usage for preparing of presentations Lecture 2 Create ChatGPT Account Lecture 3 ChatGPT Prompt Template for Crafting PowerPoint Outline Lecture 4 Enhancing Presentation Design using PowerPoint Designer Lecture 5 Move Presentation Content from ChatGPT to PowerPoint using VBA Lecture 6 Generate a Presentation Outline using ChatGPT Lecture 7 Write ChatGPT Prompt for Crafting Outline for a Presentation Section 3: Interactive part Lecture 8 Interactive Part Lecture 9 Congratulations with finishing from MTF No special requirements. Course for any who want to build a career at business domains or improve their knowledge. Homepage https://www.udemy.com/course/powerpoint-business-presentations-with-chatgpt-generative-ai/ Rapidgator https://rg.to/file/01442ddabc1f7a717dc67e0490d0e313/xrzlc.Powerpoint.Business.Presentations.With.Chatgpt.Generative.Ai.part2.rar.html https://rg.to/file/486ad338a4d743aacc19ebee5262f5cc/xrzlc.Powerpoint.Business.Presentations.With.Chatgpt.Generative.Ai.part1.rar.html Fikper Free Download https://fikper.com/wmBfZ1mG3b/xrzlc.Powerpoint.Business.Presentations.With.Chatgpt.Generative.Ai.part1.rar.html https://fikper.com/z3WEWXh4Mh/xrzlc.Powerpoint.Business.Presentations.With.Chatgpt.Generative.Ai.part2.rar.html No Password - Links are Interchangeable

Free Download Notebooklm Generative Ai Interacting With Your Own Data Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 547.77 MB | Duration: 0h 48m NotebookLM is an interactive AI playground for data analysis and machine learning from the Google Gemini team What you'll learn Understand the fundamentals of NotebookLM Master basic NotebookLM operations Apply NotebookLM for data analysis Leverage advanced NotebookLM features Requirements Google account Google Workspace account (optional) Description Unlock the power of artificial intelligence with NotebookLM, a powerful and intuitive tool designed to make data analysis and machine learning accessible to everyone. In this comprehensive course, you'll learn how to use NotebookLM to explore data using natural language processing and gain valuable insights.This course is a set of videos that demonstrate the capabilities of NotebookLM.You'll see how it can:Interpret the contents of a CSV fileAnalyze a YouTube Video using its transcriptUnderstand the sentiment of hundreds of reviewsAnalyze a company's 10Q and related investor callDetermine the purpose of Javascript, python, and other codeGain insights from PDF research papersConsolidate several sources (up to 50) into a single chat-like interfaceDisclaimer: This course is primarily designed to demonstrate the power of NotebookLM. You should be able to follow along using your account if you wish. Links to the data sources used are provided. NotebookLM is like using a Generative AI such as ChatGPT or Gemini on your own data. Gain insights from things that are important to you.Whether you're a data scientist, researcher, student, or simply curious about AI, this course will equip you with the skills and knowledge you need to succeed. Join us on this exciting journey and discover the endless possibilities of NotebookLM! Overview Section 1: Introduction to NotebookLM Lecture 1 What is NotebookLM? Lecture 2 Demo of NotebookLM Lecture 3 What this Course is About Section 2: Google NotebookLM in Action Lecture 4 Analyzing GitHub Code with NotebookLM Lecture 5 Analyzing Youtube Videos with NotebookLM Lecture 6 Analyzing Stock Investments with NotebookLM Lecture 7 Analyzing CSV Files with NotebookLM Lecture 8 Analyzing Sentiment with NotebookLM Section 3: Thank you! Lecture 9 Thank you and next steps! Data scientists and analysts: Learn how to use NotebookLM to streamline data analysis tasks and build more sophisticated models.,Researchers: Explore new ways to use AI for research and experimentation.,Students: Gain practical experience with AI tools and develop valuable skills for the future.,Professionals in various fields: Learn how AI can be applied to their specific domains, such as marketing, finance, healthcare, or education.,Individuals with a general interest in AI: Get a solid foundation in AI concepts and tools. Screenshot Homepage https://www.udemy.com/course/notebook-lm/ Rapidgator https://rg.to/file/f5addc6de89a2c9d84037691f2335b7a/lwnmu.Notebooklm..Generative.Ai.Interacting.With.Your.Own.Data.rar.html Fikper Free Download https://fikper.com/v3irEj19fZ/lwnmu.Notebooklm..Generative.Ai.Interacting.With.Your.Own.Data.rar.html No Password - Links are Interchangeable

Free Download Modern HR Generative AI, AI and Data Analysis in HR Published 10/2024 Created by GenMan Solutions MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 55m ) | Size: 658 MB Learn how Generative AI, predictive AI models and HR Data Analytics are transforming today's Human Resource Management What you'll learn Discover the key applications of Generative AI in HR and how it transforms recruitment, employee engagement, and learning processes. Explore how AI models can predict workforce trends and forecast HR outcomes to drive strategic decisions. Master the use of Generative AI to streamline the recruitment and selection process, from candidate sourcing to interview automation. Apply AI-driven text analysis techniques to enhance employee feedback systems and sentiment analysis. Implement data-driven HR strategies that leverage analytics to improve decision-making and workforce planning. Create predictive AI models that can assist in workforce forecasting and optimize HR resource allocation. Learn how HR metrics dashboards help track performance, retention, and engagement, turning raw data into actionable insights. Balance traditional HR intuition with data analytics to form well-rounded, strategic decisions in talent management and development. Requirements No prior experience with AI or data analytics is needed-just a basic understanding of HR functions, access to a computer, and a willingness to learn. Description Are you an HR professional looking to stay ahead in the rapidly changing world of human resources? Do you want to integrate cutting-edge technology into your HR strategy and revolutionize your approach to recruitment, employee engagement, and decision-making? As the HR landscape evolves, the ability to leverage AI and data analytics is not just a luxury but a necessity for the modern HR practitioner.In Modern HR: Generative AI, AI and Data Analysis in HR, you'll discover how transformative technologies like Generative AI, predictive AI models, and HR data analytics are reshaping HR operations. This course equips you with practical tools to harness these innovations, enabling you to lead HR initiatives with precision, efficiency, and insight.In this course, you will:Develop a foundational understanding of how Generative AI enhances recruitment, employee engagement, and learning and development processes.Master traditional AI techniques to build predictive models, forecast workforce trends, and conduct text analysis for HR tasks.Apply data analytics to make strategic HR decisions and balance data-driven insights with human intuition.Discover how to implement data-driven HR strategies that turn raw insights into meaningful actions.Identify the key metrics that will help you optimize workforce management and contribute to business goals.Why is this course so important? As organizations increasingly rely on technology to gain a competitive edge, HR professionals must evolve from administrative roles to strategic partners in the business. AI and analytics enable smarter, faster decision-making, improving everything from recruitment to employee retention and talent development.Throughout the course, you will engage in hands-on activities, including building AI models, analyzing HR data sets, and developing actionable insights that can be applied directly to your workplace. By the end, you'll not only understand these advanced technologies but also know how to leverage them to drive tangible results in your HR function.This course is different because it bridges the gap between core HR functions and advanced tech integration, designed specifically for HR professionals. Whether you're new to AI and data analytics or looking to deepen your expertise, this course provides a practical, step-by-step guide to mastering the future of HR.Ready to transform your HR career and become a leader in the digital era? Enroll now and start revolutionizing the way you manage your workforce! Who this course is for HR Managers who want to integrate AI and data analytics into their HR operations for more strategic decision-making. HR Analysts eager to master data analytics tools for actionable workforce insights and forecasting. HR Executives seeking to transform their department into a strategic, data-driven business partner. Learning & Development Professionals looking to optimize employee training programs with AI-powered personalization. Talent Acquisition Specialists who aim to streamline recruitment processes using Generative AI. Homepage https://www.udemy.com/course/modern-hr-generative-ai/ Screenshot Rapidgator https://rg.to/file/bfcd76a2df3c074fcd29d7bac6d5605c/ykucb.Modern.HR.Generative.AI.AI.and.Data.Analysis.in.HR.rar.html Fikper Free Download https://fikper.com/npSjMZXZU0/ykucb.Modern.HR.Generative.AI.AI.and.Data.Analysis.in.HR.rar.html No Password - Links are Interchangeable

Free Download Mastering Generative AI for Proposal Creation Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 32m | Size: 332 MB Enhance your bidding process with generative AI and proven prompt engineering techniques What you'll learn Define what generative AI is Demonstrate crafting a bid with assistance from generative AI such as ChatGPT Determine if the generated material is in line with the bid Write prompts that generate responses which are accurate and compliant with the bid Requirements No AI experience needed, we'll cover it in the course! Description Unlock the full potential of Generative AI to revolutionize your proposal creation process! In this comprehensive course, you'll learn how to effectively use AI to automate content generation, structure winning bids, and ensure compliance with technical and legal requirements-all while maintaining the essential human oversight that guarantees accuracy, clarity, and quality.We'll walk you through practical, hands-on strategies for generating accurate proposal drafts, refining AI-generated content, and optimizing your prompts to guide AI in delivering relevant and precise responses. You'll also discover how to integrate key elements such as technical capabilities, pricing details, and past performance data into a seamless, compelling bid that stands out from the competition.Whether you're a proposal writer, bid manager, business development professional, or freelancer, this course will provide the skills and insights you need to harness AI's strengths while mitigating its limitations. From improving accuracy and compliance to managing formatting and reviewing proposals for completeness, you'll learn how to make AI work for you in a structured, efficient way.You'll also gain valuable insights into common AI pitfalls, ensuring you're prepared to refine, verify, and perfect AI-generated content for maximum impact. By the end of this course, you'll be equipped to deliver persuasive, professional proposals with AI, saving time while ensuring your bids meet the highest standards. Who this course is for Business leaders in the US defense space Business development representatives in the US defense space US Defense Contractors Homepage https://www.udemy.com/course/mastering-generative-ai-for-proposal-creation/ Screenshot Rapidgator https://rg.to/file/ce62dec8bb00f8562dc0fd6dcfc4aea7/quabi.Mastering.Generative.AI.for.Proposal.Creation.rar.html Fikper Free Download https://fikper.com/G7Zf4uPecY/quabi.Mastering.Generative.AI.for.Proposal.Creation.rar.html No Password - Links are Interchangeable

Free Download Master Generative Ai Art Content Creation With Leonardo Ai Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.20 GB | Duration: 3h 38m Learn Leonardo AI Generative AI for art, images, videos | 3.5+ h. HD videos | Real-World Use Cases | With Certificate What you'll learn How to use Leonardo AI for product prototyping and product visualizations. How to use Leonardo AI for ideating interface designs for mobile or web applications. How to use Leonardo AI in Marketing and generate images in a specific style, unique to your brand. Step-by-step process for creating images from simple text instructions using Leonardo's Image Creation functionality. How to create effective instructions (prompts) for Generative AI Models to generate stunning, unique visuals. How to ideate and improve your prompts in seconds so that your final output is closely aligned with your vision. How to create images of a specific style, look and feel using Reference images. How to choose the right AI model for your next image. How to generate images with transparent backgrounds for your company's or brand logos and more. How to enhance your already generated images via Upscaling and Refining. How to create videos from your existing images or those generated with Leonardo AI. Advanced techniques for creating images with a consistent style and look by training a new AI model. Advanced techniques for creating images from simple drawing with Realtime Canvas. What AI is, what generative AI is, and how generative AI technologies create art. Requirements No prior knowledge of AI, AI art generation, or Leonardo is required. Access to a computer and stable internet connection. Subscription to Leonardo (free tier plan is available). Description Last Updated: October 2024Are you an entrepreneur or a startup looking to craft your first logo, or a big company aiming to generate visuals at scale with a consistent style and feel? The Leonardo AI platform is here to enhance and accelerate your creative process!And if you are a professional designer or content creator looking to improve your workflow while staying up-to-date with the latest advancements in AI art content creation, Leonardo AI is the perfect platform to start with!Hello and welcome to the course on Leonardo AI - a generative content production platform that uses various forms of Generative AI, from designing images based on text instructions to video production and beyond.My name is Anna, and I'll be your instructor and mentor for the course. I'm the head of product and lead instructor at FutureVersity - an online learning platform for anyone who wants to learn the skills of the future, today.Course Highlights:3.5+ hours of HD video content, step-by-step tutorials, and activities covering all aspects of Leonardo AI, from designing images based on text instructions to video production and beyond.Advanced techniques for creating images, including generating images with a consistent style and look by training a new AI model and generating images from simple drawings. Lectures on generative AI fundamentals, including an overview of the AI landscape and how AI generates art.Learners community to connect with your course instructor and other learners, ask questions, and receive support.Certificate of completion from the FutureVersity School upon completion of the course (available upon request for those who completed at least 80% of the course).Why is it time to learn Generative AI?Generative AI is a set of technologies that can create original content, generate insights from large amounts of data, translate languages with near-human accuracy, and potentially even make complex decisions. ChatGPT, DALL-E, Leonardo AI, Midjourney, Firefly, and GitHub's Copilot are some well-known examples. The rapid advancement of generative AI technologies is now reshaping industries and businesses through new operating models, new products, and services. Learning about these technologies now prepares individuals for the jobs of tomorrow, ensuring they remain relevant and competitive in an evolving job market.What you should expect after enrolling in the course: We will kick off the course by learning how to create images from text instructions, how to write those instructions, and how to influence the AI art generation process using various tools available in Leonardo.We will also learn how to modify and improve already generated images in seconds, how to bring your generated images to life through animated videos, and how to create images with consistent characters or themes by training your own AI models.And if you're not keen on just writing text instructions for image generation, I have exciting news for you - with Leonardo, you can now create drawings that will be converted into artworks almost instantaneously, providing you with an entirely new way of interacting with AI. We will cover these techniques in the course as well.Last but not least, if you're curious about going deeper into AI technologies and exploring one of its most rapidly expanding fields - generative AI - there will be optional lectures where you'll learn in detail how AI creates art.This course requires absolutely no prior experience in AI, AI art generation, or design. If you are just starting your creative journey with AI, I'll guide you every step of the way. For those who are more advanced, feel free to look at the curriculum and dive into the topics that interest you the most.And as always, there is a 30-day money-back guarantee, so there is no reason to hesitate. Enroll now, and I'll see you inside! Overview Section 1: Introduction Lecture 1 How to Work with Udemy Video Player Lecture 2 How to get in touch - Learners community Lecture 3 Meet the instructor Lecture 4 Account creation and setup. Token system Lecture 5 Is Leonardo.ai's content suitable for commercial use? Section 2: Generating images from text descriptions with Image Creation function Lecture 6 Section Intro Lecture 7 Let's create your first art work with Leonardo.ai! Lecture 8 Creating an image from scratch Lecture 9 What is an AI model, and how to choose the right one for your work? Lecture 10 How to improve your images quickly using Presets and Elements Lecture 11 Organising your work into Collections Lecture 12 Creating Photo-Realistic Images Lecture 13 How to enhance your generated images with Upscaling and Refining Lecture 14 Top 5 recommendations for creating a great prompt Lecture 15 Improving and ideating your prompts with Leonardo Lecture 16 Improving your images with Reference image: Image-to-Image reference Lecture 17 Improving your images with Reference image: Style reference Lecture 18 Improving your images with Reference image: Content and Post-to-Image reference Lecture 19 Improving your images with Reference image: Content reference for creating texts Lecture 20 Improving your images with Reference image: Creating your own image reference Lecture 21 How to Create an Image with a Transparent Background Section 3: Use Cases: practical business applications of Image Creation function Lecture 22 Section Intro Lecture 23 Use Case 1: Marketing - Creating social media posts Lecture 24 Use Case 2: Product Prototyping Lecture 25 Use Case 3: UX/UI Design Section 4: Deep dive into the world of AI (optional) Lecture 26 Section Intro Lecture 27 AI landscape of today Lecture 28 Evolution of AI art generation technologies Lecture 29 How AI generates art Section 5: Bringing your images to life with Motion Lecture 30 Section Intro Lecture 31 Let's create your first video with Leonardo.ai! Section 6: Advanced Techniques: Training your own model Lecture 32 Section Intro Lecture 33 Creating a Dataset Lecture 34 Training the model and testing it in action Lecture 35 Refining your model Section 7: Advanced Techniques: Generating images from Drawings Lecture 36 Section Intro Lecture 37 Getting started with Realtime Canvas Lecture 38 Enhancing your drawings with Output to Input feature Lecture 39 Combining several of your existing and newly generated images in Realtime Canvas Working professionals looking to learn and incorporate generative AI technologies into their daily work and to better visually communicate their ideas.,Graphic designers looking to incorporate AI into their creative toolkit.,Entrepreneurs looking to create unique visuals for their business, including logos, product images, and website designs, using AI.,Marketing professionals looking to create eye-catching and engaging visuals for campaigns or social media content.,Product managers and aspiring product managers looking to stay up-to-date with modern technology trends and implement innovations into their products.,Web designers interested in using AI-generated images to enhance the visual appeal of websites and user interfaces.,Content creators - bloggers, social media influencers, and video creators - who want to incorporate unique and customized visuals into their content.,Photographers interested in exploring the potential of AI-generated images for enhancing or complementing their photography work.,E-commerce professionals seeking to generate product images and visuals for online stores and listings.,Educators and trainers who teach or train in areas such as design, marketing, or technology and want to incorporate AI-generated images into their course materials.,Hobbyists and tech enthusiasts who want to learn about AI-generated images for personal projects or creative exploration.,Career changers considering a career shift into design, marketing, or other fields that can benefit from the skills acquired in this course. Screenshot Homepage https://www.udemy.com/course/master-generative-ai-art-content-creation-with-leonardo-ai/ Rapidgator https://rg.to/file/08873f83a1c1fa12e02aa8bc16976e34/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part3.rar.html https://rg.to/file/1e7066da4e87e23598117fb5c0ddbb64/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part2.rar.html https://rg.to/file/1f7e497462cf7d3adf4486a0ca69a612/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part5.rar.html https://rg.to/file/34dfe972d04311eb295e80bd4fc26da8/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part7.rar.html https://rg.to/file/404256e4cac9fa5f33c47259ab37b02f/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part6.rar.html https://rg.to/file/65c92d77e54240533e5111efe319c12c/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part4.rar.html https://rg.to/file/9d90af2d998ba2e79d3ec3bf3027db8b/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part1.rar.html Fikper Free Download https://fikper.com/IE4HRfZYon/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part1.rar.html https://fikper.com/INmlGOsPVl/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part3.rar.html https://fikper.com/XiTewThaJX/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part2.rar.html https://fikper.com/f1VjOU9pMs/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part5.rar.html https://fikper.com/g2kMtGHdlV/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part7.rar.html https://fikper.com/kilGwVsExP/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part4.rar.html https://fikper.com/kzcsTuEVua/xrvhs.Master.Generative.Ai.Art.Content.Creation.With.Leonardo.Ai.part6.rar.html No Password - Links are Interchangeable

Free Download Linkedin - Using Generative AI in Public Relations Released 10/2024 With Martin Waxman MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 42m 58s | Size: 61 MB Learn how to use AI for communication, brainstorming, content creation, and social sentiment analysis, reshaping your approach to PR in the digital age. Course details Discover the ever-evolving interface between generative AI and PR, focusing on strategic communication that forges meaningful relationships and achieves long-term organizational goals. Instructor Martin Waxman shows you how to conceptualize words as data by using generative AI for enhanced brainstorming, writing, editing, visual content creation, and more. Explore frameworks and approaches to prompt engineering uniquely tailored for PR professionals, as well as how to leverage AI for research, message testing, social listening, and policy development. Whether your role has you dealing with media, influencers, or stakeholders, this course offers practical insights you can apply on the job to leverage AI for efficient communication both internally and externally. By the end of this course, you'll be prepared to navigate the AI-driven landscape of PR with confidence and ease. Homepage https://www.linkedin.com/learning/using-generative-ai-in-public-relations Welcome to Check it Every Days Rapidgator https://rg.to/file/fc3b32fae8bf65d2068d22c02828e327/ngcat.Using.Generative.AI.in.Public.Relations.rar.html Fikper Free Download https://fikper.com/uP0HqVP8Y1/ngcat.Using.Generative.AI.in.Public.Relations.rar.html No Password - Links are Interchangeable

Free Download Improve Business Process Modeling with Generative AI Released: 10/2024 Duration: 52m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 114 MB Level: General | Genre: eLearning | Language: English Discover the transformative power of generative AI in business process modeling with Colby Hawker, a seasoned leader in generative AI and business. This course explores the integration of AI in automating and refining business processes, offering an understanding of how AI tools and insights can redefine efficiency and innovation. After this course, you'll gain practical skills for leveraging AI in process modeling, mapping, automation, and analysis. Homepage https://www.linkedin.com/learning/improve-business-process-modeling-with-generative-ai Rapidgator https://rg.to/file/38b4c356e9814f34056742dec5aacc0e/gthcj.Improve.Business.Process.Modeling.with.Generative.AI.rar.html Fikper Free Download https://fikper.com/TNQXglmHy7/gthcj.Improve.Business.Process.Modeling.with.Generative.AI.rar.html No Password - Links are Interchangeable

Free Download Generative Ai For Leaders by Peter Alkema Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.67 GB | Duration: 5h 26m Master Generative AI:Transmute Businesses with Machine Learning,Strategic AI Integration,Ethical Leadership & Innovation What you'll learn Define generative AI and describe its key characteristics relevant to leadership Explain the history and evolution of AI in business contexts, including major milestones. Differentiate between generative AI and other types of AI technologies using examples Analyze how generative AI is transforming industries and identify the impacts on business operations. Evaluate case studies of organizations that have successfully adopted AI, focusing on strategies and outcomes Understand the basics of machine learning as the foundation for generative AI, including key terminology and concepts. Compare and contrast supervised, unsupervised, and reinforcement learning in the context of generative AI Describe the process of training and optimizing machine learning models for generative AI applications Assess the role of data in building effective generative AI models and identify key considerations for data collection. Apply machine learning concepts to real-life business functions through analysis of examples Develop an AI-driven solution for product design and innovation, considering market needs and technology capabilities Create an AI-powered marketing strategy that enhances customer engagement and personalizes experiences Formulate an approach to applying generative AI in supply chain optimization to improve efficiency and reduce costs ropose AI-driven solutions for finance and risk management, focusing on predictive analytics and decision-making. Critically assess case studies of businesses leveraging generative AI for growth, focusing on strategies and outcomes. Design a plan to build a culture that embraces AI and digital transformation within an organization Develop training programs that encourage innovation and AI literacy among employees. Align AI initiatives with long-term business goals, identifying strategic value and prioritizing projects Formulate techniques for measuring the ROI of AI-based solutions within organizational contexts Propose a leadership strategy for navigating AI-driven organizational change, focusing on adaptability and continuous learning. Requirements There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course. Basic understanding of business operations and challenges in the digital era. Familiarity with the concept of Artificial Intelligence and its applications in various fields. Interest in leadership strategies and innovation management. Description Welcome to our comprehensive course on Generative Artificial Intelligence (AI) for Leadership and Business Transformation! Are you ready to unlock the potential of AI to drive innovation, enhance decision-making, and revolutionize your organization's operations? With the rapid advancements in AI technology, the ability to harness generative AI has become a key differentiator for businesses looking to stay ahead in today's digital economy.Our team of AI experts has carefully designed this course to equip you with the essential knowledge and skills needed to lead AI-driven initiatives within your organization successfully. As AI continues to reshape industries, business leaders must adapt to leverage its transformative power fully. No matter your level of familiarity with AI, whether you are a seasoned executive or a budding entrepreneur, this course will provide you with the insights and tools you need to navigate the complex world of generative AI with confidence.Throughout this course, you will delve into the fundamentals of machine learning, exploring the core concepts of supervised, unsupervised, and reinforcement learning. You will learn how to build and optimize machine learning models for generative AI, understand the crucial role of data in AI development, and explore real-life examples of machine learning applications across various business functions.As you progress, you will discover the real-world applications of generative AI in business, from product design and marketing to supply chain optimization and finance. Through case studies and practical examples, you will see how organizations have successfully integrated generative AI to drive growth, improve customer experiences, and streamline operations.Additionally, you will gain insights into strategic integration and cultural transformation, learning how to align AI initiatives with organizational goals and foster a culture that embraces innovation and AI literacy. We will explore leadership mindsets for AI-driven innovation, techniques for managing cross-functional AI teams, and ethical considerations surrounding AI deployment in business contexts.Furthermore, you will uncover the future trends in generative AI for leadership and innovation, preparing you to anti[beeep]te and capitalize on the next wave of AI advancements. Our course will empower you to build AI readiness across your organization, scale AI initiatives effectively, and collaborate with AI vendors and partners for success.Ultimately, this course is not just about acquiring knowledge - it's about equipping you with the strategic insights, practical skills, and leadership mindset needed to navigate the evolving landscape of AI and drive sustainable growth in your organization. Join us on this transformative journey, and position yourself as a proactive leader ready to harness the power of generative AI for future success. Let's embark on this exciting AI expedition together! Overview Section 1: Introduction to Generative AI for Business Leaders Lecture 1 Defining generative AI and its key characteristics relevant to leadership Lecture 2 Download The *Amazing* +100 Page Workbook For this Course Lecture 3 Introduce Yourself To Your Fellow Students And Tell Us What You Want To Learn Lecture 4 Exploring the history and evolution of AI in business contexts Lecture 5 The difference between generative AI and other types of AI technologies Lecture 6 How generative AI is transforming industries and business operations Lecture 7 Case studies of organizations that have successfully adopted AI Lecture 8 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!! Section 2: Fundamentals of Machine Learning for Generative AI Lecture 9 Introduction to machine learning: the foundation of generative AI Lecture 10 Understanding supervised, unsupervised, and reinforcement learning Lecture 11 How machine learning models are trained and optimized for generative AI Lecture 12 The role of data in building effective generative AI models Lecture 13 Real-life examples of machine learning applications in business functions Section 3: Real-World Applications of Generative AI in Business Lecture 14 How AI is being used in product design and innovation Lecture 15 AI-powered marketing strategies and customer engagement tools Lecture 16 Applications of generative AI in supply chain optimization and logistics Lecture 17 Exploring AI-driven solutions for finance and risk management Lecture 18 Case studies of businesses leveraging generative AI to drive growth Section 4: Strategic Integration of AI into Organizational Culture Lecture 19 How to build a culture that embraces AI and digital transformation Lecture 20 Encouraging innovation and AI literacy within teams and departments Lecture 21 The importance of upskilling employees to work alongside AI systems Lecture 22 Leadership strategies for guiding AI adoption across the organization Lecture 23 Real-life examples of successful AI cultural integration in companies Section 5: Aligning AI with Business Strategy and Objectives Lecture 24 Ensuring AI initiatives align with long-term business goals Lecture 25 How to prioritize AI projects that add strategic value to the organization Lecture 26 Techniques for measuring the ROI of AI-based solutions Lecture 27 Developing an AI roadmap that supports business scalability Lecture 28 Case studies on aligning AI technology with business growth strategies Lecture 29 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >> Section 6: Leadership Mindset for AI-Driven Innovation Lecture 30 How leaders can foster an innovation-driven mindset in their organizations Lecture 31 Techniques for leading teams through AI-driven change and transformation Lecture 32 Building confidence in decision-making around emerging technologies Lecture 33 The importance of adaptability and continuous learning for AI leaders Lecture 34 Examples of leaders successfully navigating AI-driven organizational change Section 7: Managing Cross-Functional AI Teams for Success Lecture 35 How to manage diverse teams that include AI experts, developers, and analysts Lecture 36 Creating collaboration between data scientists and business leaders Lecture 37 The importance of clear communication between technical and non-technical teams Lecture 38 Leadership strategies for driving AI projects with cross-functional teams Lecture 39 Real-life examples of managing AI-driven project teams effectively Section 8: Ethical Implications of Generative AI for Leaders Lecture 40 Understanding the ethical considerations of using AI in business Lecture 41 How to navigate issues of bias and fairness in AI algorithms Lecture 42 The importance of transparency and accountability in AI applications Lecture 43 Leadership strategies for ensuring ethical AI deployment across the organization Lecture 44 Case studies of ethical challenges faced by organizations using AI Section 9: Addressing Regulatory and Compliance Issues in AI Lecture 45 Overview of the legal and regulatory landscape around AI technologies Lecture 46 Ensuring AI compliance with data protection and privacy laws Lecture 47 Understanding intellectual property and ownership issues related to AI Lecture 48 How to develop internal governance frameworks for AI use Lecture 49 Examples of businesses navigating regulatory challenges with AI adoption Section 10: Risk Management and AI Deployment in Business Operations Lecture 50 Identifying and assessing risks associated with AI integration Lecture 51 Strategies for mitigating AI-related risks in operational processes Lecture 52 How to create a risk management framework for AI-driven projects Lecture 53 The importance of monitoring and evaluating AI systems over time Lecture 54 Case studies of risk management in AI implementations Lecture 55 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >> Section 11: Test your knowledge now to achieve your goals! Section 12: The Future of Work: AI and Workforce Transformation Lecture 56 Understanding how AI is reshaping the future of work and job roles Lecture 57 How leaders can prepare their workforce for AI-enabled job functions Lecture 58 The role of AI in automating routine tasks and enhancing human creativity Lecture 59 Leadership strategies for reskilling and upskilling employees for AI-driven jobs Lecture 60 Real-life examples of workforce transformation through AI adoption Section 13: Leveraging AI for Enhanced Decision-Making and Insights Lecture 61 How AI can help leaders make more informed and data-driven decisions Lecture 62 Techniques for using AI to uncover insights and trends in business data Lecture 63 The role of predictive analytics in AI-powered decision-making Lecture 64 Case studies on how leaders used AI for strategic decision-making Lecture 65 Real-world examples of AI enhancing leadership decision-making processes Section 14: Creating Value through AI-Driven Customer Experiences Lecture 66 How generative AI can personalize and enhance customer interactions Lecture 67 Techniques for using AI to create seamless and engaging customer journeys Lecture 68 The role of AI in predicting customer behavior and needs Lecture 69 Examples of businesses using AI to deliver superior customer service Lecture 70 Case studies of AI improving customer satisfaction and loyalty Section 15: AI-Powered Innovation and Product Development Lecture 71 How AI is transforming product development and R&D processes Lecture 72 Techniques for using generative AI to design and prototype new products Lecture 73 The importance of AI in accelerating innovation cycles and time-to-market Lecture 74 Examples of businesses using AI for product innovation and differentiation Lecture 75 Real-world case studies on AI-driven product development success stories Section 16: Scaling AI Across Business Units and Operations Lecture 76 Strategies for scaling AI initiatives from pilot projects to full deployment Lecture 77 How to integrate AI into existing business processes and systems Lecture 78 Techniques for ensuring scalability and sustainability of AI solutions Lecture 79 Leadership approaches for managing the challenges of AI scaling Lecture 80 Case studies of organizations successfully scaling AI technologies Lecture 81 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >> Section 17: Collaborating with AI Vendors and Partners for Success Lecture 82 How to select the right AI vendors and technology partners Lecture 83 Techniques for managing AI vendor relationships and contracts Lecture 84 The importance of collaboration between external AI partners and internal teams Lecture 85 Leadership strategies for managing third-party AI implementations Lecture 86 Real-life examples of successful partnerships with AI technology providers Section 18: AI and Competitive Advantage in a Digital Economy Lecture 87 How AI is creating new competitive advantages for businesses Lecture 88 Techniques for using AI to differentiate products and services in the market Lecture 89 The role of AI in gaining insights into competitors and market trends Lecture 90 Case studies of businesses gaining a competitive edge with AI Lecture 91 Examples of AI-enabled businesses thriving in a digital economy Section 19: Continuous Learning and Staying Ahead in AI Leadership Lecture 92 How leaders can stay informed about the latest trends in AI and machine learning Lecture 93 The importance of fostering a culture of continuous learning and innovation Lecture 94 Techniques for encouraging teams to stay updated on emerging AI technologies Lecture 95 Real-life examples of leaders investing in continuous AI education Lecture 96 Strategies for staying ahead of AI trends and maintaining competitive leadership Section 20: Building AI Readiness in Leadership and Organizations Lecture 97 How to assess your organization's readiness for AI integration Lecture 98 Techniques for preparing teams and infrastructure for AI adoption Lecture 99 The importance of aligning leadership strategies with AI readiness goals Lecture 100 How to create an AI-ready culture focused on innovation and agility Lecture 101 Case studies on building AI readiness across various industries Section 21: Future Trends in Generative AI for Leadership and Innovation Lecture 102 Exploring the future of AI technologies and their potential impact on business Lecture 103 How leaders can anti[beeep]te and prepare for the next wave of AI advancements Lecture 104 The role of AI in driving sustainability, diversity, and inclusivity in leadersh Lecture 105 Case studies on forward-thinking organizations preparing for AI's future Lecture 106 Conclusion: The evolving role of AI in leadership and organizational success Lecture 107 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!! Section 22: Test your knowledge now to achieve your goals! Section 23: Your Assignment: Write down goals to improve your life and achieve your goals!! 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Free Download Generative Ai Achieving Success With Ai For Business Leaders Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.50 GB | Duration: 3h 0m Leadership in the Digital Age and Leadership Skills: Influence with Generative AI for Business Leaders: Generative AI What you'll learn Understand how AI can enhance your leadership and decision-making processes Develop efficient workflows to improve team productivity and achieve better results Create structured onboarding plans that accelerate employee success and performance Manage large projects seamlessly with a clear, actionable plan Set and achieve SMART goals that align with your strategic vision Lead your team with a modern approach, leveraging AI to stay ah Execute projects with confidence and clarity, using step-by-step frameworks Create a culture of efficiency, where both you and your team are empowered to work smarter, not harder Achieve measurable improvements in productivity, performance, and overall business success Streamline Employee Onboarding: Develop effective 30-60-90 day onboarding plans to ensure new hires thrive from day one. Manage Large-Scale Projects: Learn to oversee complex projects with AI support, keeping everything on track and under budget Requirements No prior experience in AI is needed to enroll in this course Willingness to Learn: An open mind to explore new strategies and apply AI-driven solutions to real-world leadership challenges Interest in AI Tools: A curiosity about how AI can enhance productivity and decision-making in leadership. Description Leadership in the Digital Age: Achieving Success with Generative AI for Business LeadersDid you know that 72% of companies using AI have reported a significant boost in productivity, while only 55% of businesses not leveraging AI have seen similar success? Imagine if you could streamline your decision-making, supercharge your team's output, and transform the way you lead-all with AI at your side.Welcome to "Leadership in the Digital Age: Achieving Success with Generative AI for Business Leaders." This game-changing course reveals how AI tools, like ChatGPT, can elevate your leadership skills, making strategic planning, task prioritization, and team management more effective and efficient than ever.Have you ever wondered:How AI could enhance your strategic thinking, enabling you to make smarter, faster decisions?What would it be like to automate daily tasks while focusing on what truly matters for your team?How you can implement a 30-60-90 day onboarding plan for new hires using AI, ensuring rapid team success?Here's what you'll find in this course:AI-Assisted Leadership: Discover the future of leadership by learning how to incorporate AI into your decision-making process.Workflow and Task Optimization: Use AI to automate daily schedules and tasks, freeing up more time for strategic initiatives.Mastering Employee Onboarding: Develop powerful onboarding plans to ensure every new hire hits the ground running.Project Management Excellence: Learn how AI can help you manage large-scale projects with ease, from timelines to team collaboration.By completing this course, you will:Lead your team with a modern approach, leveraging AI to stay ahead.Execute projects with confidence and clarity, using step-by-step frameworks.Create a culture of efficiency, where both you and your team are empowered to work smarter, not harder.Achieve measurable improvements in productivity, performance, and overall business success.Step into the future of leadership-where AI helps you lead smarter, not harder. Are you ready to elevate your leadership with AI? Let's get started! Overview Section 1: Leadership in the Digital Age & Introduction Lecture 1 Introduction to AI-assisted Leadership Lecture 2 Outdated vs. Optimized: Manual vs. AI-Assisted Leadership Planning Lecture 3 Leadership Overview: Characteristics of a Leader Lecture 4 TEST YOURSELF: Leadership Trait Assessment Test (Rating Exercises) Section 2: The AI Advantage: Foundations of AI in Business: What is AI? Lecture 5 What is AI? Understanding AI: Past, Present, and Future Lecture 6 AI in Leadership: Transforming Your Business: A Game-Changer for Business Lecture 7 What is ChatGPT? Overview of the ChatGPT Section 3: Workflow and Task Optimization with AI Lecture 8 Using ChatGPT for Daily Scheduling and Task Prioritization: (ChatGPT) Lecture 9 Boost Productivity: Practical Template Examples Section 4: The Art of Employee Onboarding with AI: From Prof to Newcomer Lecture 10 For Short Term Schedules: For A Project Manager Onboarding Plans Using ChatGPT Lecture 11 For Short Term Schedules: For A Cost Control Engineer On Boarding Plan (ChatGPT) Lecture 12 For Short Term On Boarding Schedule: PROMPT EXAMPLES Section 5: Project Management Excellence with AI Lecture 13 Mastering Big Event Planning: Long-Term Schedules: Big Events, Big Plans Lecture 14 CASE STUDY EXAMPLE 1: Big Event Planning: Long-Term Schedules Lecture 15 CASE STUDY EXAMPLE 2: Long Term Schedule: Organizing a Company-Wide Conference Lecture 16 Strategic Planning Prompts: Navigating Common Workplace Scheduling Challenges Section 6: Setting and Achieving SMART Goals with AI (ChatGPT) Lecture 17 Achieving Goal Setting: Exploring SMART Criteria Supported by ChatGPT Lecture 18 Leveraging ChatGPT to Set SMART Goals: A Business Leader's Toolkit Section 7: AI-Driven Team Leadership and Development Lecture 19 How AI Can Support Team Development, Talent Acquisition, Performance Monitoring Lecture 20 Practical Applications: Using AI in Assessing Team Dynamics & Collaboration Lecture 21 Exercises Using AI Tools to Develop Individualized Employee Growth Plans Section 8: Leadership Focus Supported by AI: Some Useful AI Tools Lecture 22 Leadership Focus - Using AI to Elevate Leadership Performance Lecture 23 AI for Business: Boosting Productivity with Top Tools Lecture 24 Case Studies: Optimizing Business Productivity with AI Tools Section 9: Practical Application: Real World Examples Lecture 25 Case Studies to Enhance Understanding: Real-World Applications of AI in Business Lecture 26 Practical Example: AI-Driven Team Performance Improvement Plan Section 10: Becoming a Leader for Tomorrow: Your AI-Driven Journey Be Lecture 27 Stepping Into Tomorrow: Leading with AI and Confidence Anyone who is curious about Generative Artificial Intelligence (Gen AI) and want to explore it for free.,Team managers and leaders in medium to large organizations,Anyone who is passionate about mastering GenAI and lead in the future shaped by AI,Business leaders looking to integrate AI into their strategy.,Professionals eager to leverage Generative AI in their workplace,Visionaries looking to stay ahead in the rapidly evolving business landscape,Basic Understanding of Leadership: Ideal for anyone in a leadership or management role, but no advanced knowledge required. https://www.udemy.com/course/generative-aiachieving-success-with-ai-for-business-leaders/ Rapidgator https://rg.to/file/57b89e708a9c03233a62610d8adcf2db/sotqv.Generative.AiAchieving.Success.With.Ai.For.Business.Leaders.part1.rar.html https://rg.to/file/8b58860d7739dbfeb24220db58698724/sotqv.Generative.AiAchieving.Success.With.Ai.For.Business.Leaders.part2.rar.html Fikper Free Download https://fikper.com/GTsJ9h0xfi/sotqv.Generative.AiAchieving.Success.With.Ai.For.Business.Leaders.part2.rar.html https://fikper.com/pLyFNiLpEB/sotqv.Generative.AiAchieving.Success.With.Ai.For.Business.Leaders.part1.rar.html No Password - Links are Interchangeable

Free Download Generative AI for QA Professionals and Software Testers Published 10/2024 Created by Raghu The Security Expert MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 19 Lectures ( 2h 8m ) | Size: 888 MB Generate Manual Test Cases and Selenium Scripts in automated manner using Generative AI on local system What you'll learn: Understand AI and ML Fundamentals Utilize Generative Models for QA (Manual and Automated) tasks Learn Prompt Engineering for QA Professionals with real life examples Create Spring Boot Rest API Application to generate selenium script and tests cases using Gen AI on local system Learn to use Open source AI models Requirements: Basic Understanding of QA tasks Fundamental Knowledge of Java Description: Unlock the potential of AI in QA with our comprehensive course, "GenAI for QA and Software Testers." This program bridges the gap between AI theory and practical applications, equipping you with the skills to leverage Generative AI for automating and enhancing QA workflows.Course Highlights:Foundations of AI, ML, and Generative AI:Begin with a solid understanding of artificial intelligence, machine learning, and their types. Explore how models are developed and deployed, and learn the fundamentals of Generative AI, setting the stage for its application in QA.Exploring Popular AI Models:Dive into the mechanics of widely used AI systems like ChatGPT, LLaMA, and others. Understand their architecture, capabilities, and how they can be leveraged for automating test case creation and other QA tasks.Building a Spring Boot REST API Application:Develop a practical Spring Boot REST API app that integrates open-source GenAI models using the Ollama platform. This application will automate QA tasks such as manual test case creation and Selenium script generation.Integrating with Jira for Real-World Automation:Learn how to make API calls to Jira to fetch acceptance criteria from sample user stories. See how these criteria are fed into GenAI models to automate manual testing and create Selenium scripts for test automation.Hands-On Implementation of GenAI for QA:Implement GenAI solutions in real-world scenarios by building and testing an AI-integrated application. Develop expertise in using AI to generate accurate and efficient test cases, reducing manual effort and enhancing testing precision.Automating Test Case and Script Creation:Automate the generation of manual test cases and Selenium scripts using AI models, streamlining the testing process and ensuring faster delivery cycles.Who Should Enroll:This course is tailored for QA engineers, software testers, and IT professionals looking to integrate Generative AI into their testing workflows. Whether you're new to AI or seeking to expand your knowledge, this course provides the practical skills needed to automate QA tasks and boost efficiency in software testing.Join us to explore how Generative AI can transform your QA operations, enabling you to automate test creation and gain a competitive edge with cutting-edge AI-driven solutions! Who this course is for: QA Engineers Software Testing Engineers/Professionals Quality Analysts Automation Engineers QA Managers IT Engineers Homepage https://www.udemy.com/course/generative-ai-for-qa-professionals-and-software-testers/ Rapidgator https://rg.to/file/7394f519281fe0911e5b9f2dde923da0/dzvck.Generative.AI.for.QA.Professionals.and.Software.Testers.rar.html Fikper Free Download https://fikper.com/KtpaZOKgjN/dzvck.Generative.AI.for.QA.Professionals.and.Software.Testers.rar.html No Password - Links are Interchangeable

Free Download Generative AI for All Practical Prompt Engineering Course Published 10/2024 Created by Ujjwal Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 9 Lectures ( 46m ) | Size: 269 MB Learn Generative AI: Prompt engineering skills to boost your creativity and productivity. What you'll learn Understand the fundamentals of Generative AI Master effective Prompt Engineering techniques Apply Generative AI in real-world scenarios Evaluate and Troubleshoot Prompts for optimal results Requirements No prior knowledge of generative AI or prompt engineering is required. Basic computer proficiency is recommended for navigating online resources. Description Welcome to "Generative AI for All: Practical Prompt Engineering Course"! This course is your gateway to understanding and utilizing generative AI, no matter your background. If you've ever been curious about how AI can create text, images, and more, you're in the right place! We'll break down the essentials and give you the tools to get started. Throughout this course, you'll explore what generative AI is all about, including how popular models like GPT and DALL·E work. But we won't just stop at theory-we'll dive into the exciting world of prompt engineering. You'll learn how to craft clear and effective prompts that help you get the most out of AI tools, making your interactions with them more fruitful and enjoyable. To make things even more practical, you'll engage in hands-on activities that let you apply your skills in real-world scenarios. Whether you want to create engaging content, generate stunning images, or get help with coding, you'll find valuable insights and techniques that you can use right away. Plus, we'll show you how to troubleshoot and refine your prompts for even better results. By the end of the course, you'll have a solid grasp of generative AI and the confidence to use prompt engineering effectively. So, if you're ready to explore the possibilities of AI and unleash your creativity, let's get started on this exciting journey together! Who this course is for This course is tailored for anyone interested in utilizing AI tools like ChatGPT to create outstanding content, no matter their background or skill level. Homepage https://www.udemy.com/course/generative-ai-and-prompt-engineering-with-chatgpt-and-more/ Screenshot Rapidgator https://rg.to/file/60f9f38063e84e954192ba6053ec8f0c/hrubf.Generative.AI.for.All.Practical.Prompt.Engineering.Course.rar.html Fikper Free Download https://fikper.com/a0bqOoksrv/hrubf.Generative.AI.for.All.Practical.Prompt.Engineering.Course.rar.html No Password - Links are Interchangeable

Free Download Generative AI In E-Commerce by Peter Alkema Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.32 GB | Duration: 5h 18m Master Generative AI in E-commerce: Boost Sales, Personalized Marketing, Product Recommendations, Chatbots & Visual What you'll learn Explain the role of generative AI in transforming e-commerce marketing strategies. Identify and describe the benefits of integrating AI into e-commerce strategies for enhancing the customer journey. Analyze examples of AI transforming the e-commerce landscape to identify key success factors. Apply AI-driven personalization techniques to improve online retail customer experiences. Evaluate current trends in AI for e-commerce applications to determine their potential impact on business growth. Design personalized user experiences for an e-commerce website using generative AI technologies. Develop a personalized marketing plan for an e-commerce business by leveraging generative AI enhancements. Create AI-driven product recommendation engines that analyze customer data to suggest relevant products. Assess the effectiveness of AI product recommendation campaigns in increasing conversion rates. Generate compelling product descriptions using generative AI that improve SEO and customer engagement. Utilize generative AI to develop targeted e-commerce marketing campaigns designed to increase traffic and conversions. Implement real-time personalization on an e-commerce site to enhance user experience based on dynamic content adjustments. Collect and organize customer data for AI analysis to drive personalization strategies while balancing data privacy. Design and deploy AI chatbots for improving e-commerce customer service and engagement. Analyze case studies on generative AI in e-commerce to understand its impact on retention rates and cross-selling strategies. Enhance email marketing campaigns and retargeting strategies using AI for improved personalization and customer engagement. Apply generative AI techniques for customer journey mapping to provide enhanced insights and customer experiences. Generate and enhance visual content for e-commerce product pages using AI tools. Create personalized promotions and offers for different customer segments using AI-based analysis. Explore the integration of AR and VR technologies with AI to personalize and enhance the e-commerce shopping experience. Requirements There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course. Basic understanding of e-commerce principles and online retail operations. Familiarity with the concept of artificial intelligence and its applications in business. Interest in learning how technology can enhance customer experience and business performance in the online retail space. Description Welcome to our comprehensive course on Generative AI in E-commerce! Are you intrigued by the idea of using cutting-edge artificial intelligence technology to revolutionize the way businesses engage with customers online? If so, you're in the right place. In today's rapidly evolving digital landscape, AI-powered personalization is no longer just a competitive advantage - it's a necessity for e-commerce success.Our team of experienced experts has designed this course to provide you with a deep understanding of how Generative AI is reshaping the e-commerce marketplace. With a wealth of real-world examples, case studies, and practical tips, we will guide you through the intricacies of using AI to enhance customer experiences, drive sales, and stay ahead of the curve in a dynamic industry.Throughout this course, you will embark on a transformative journey into the realm of AI-driven personalization, paving the way for you to unlock the full potential of your e-commerce strategies. From leveraging AI for tailored product recommendations and automated content creation to harnessing the power of real-time personalization and chatbot interactions, you will gain invaluable insights into the myriad ways in which AI can elevate your brand's online presence.Imagine being able to craft personalized marketing campaigns that resonate with individual customers on a profound level, leading to increased engagement, retention, and ultimately, revenue. By delving into the nuances of customer journey mapping, product discovery optimization, and ethical AI considerations, you will emerge from this course equipped with the knowledge and skills to navigate the complex landscape of AI in e-commerce with confidence and integrity.But the adventure doesn't stop there. We empower you to explore the intersection of AI with emerging technologies such as augmented reality and virtual reality, offering you a glimpse into the future of immersive shopping experiences. Through hands-on projects and practical exercises, you will witness firsthand the transformative impact of AI on visual content creation, customer reviews analysis, and personalized promotions - all geared towards enhancing the overall customer journey and driving business growth.At the heart of our course lies a commitment to equipping you with the tools, strategies, and insights needed to thrive in the rapidly evolving e-commerce ecosystem. Whether you're a seasoned professional looking to stay ahead of the curve or a newcomer eager to delve into the world of AI, this course offers a unique blend of theory and practical applications, ensuring that you emerge not just as a learner, but as a leader in the realm of AI-powered e-commerce.Join us on this exhilarating journey towards reimagining the future of online retail through the lens of Generative AI. Enroll today and let's embark on a transformational learning experience together. The future of e-commerce awaits - are you ready to seize it? Overview Section 1: Introduction to Generative AI in E-commerce Lecture 1 Understanding Generative AI and Its Role in E-commerce Marketing Lecture 2 Download The *Amazing* +100 Page Workbook For this Course Lecture 3 Introduce Yourself To Your Fellow Students And Tell Us What You Want To Learn Lecture 4 Benefits of Integrating AI into E-commerce Strategies and Customer Journey Lecture 5 Examples of How AI is Transforming the E-commerce Landscape Lecture 6 The Basics of AI-Driven Personalization in Online Retail Lecture 7 Overview of Current Trends in AI for E-commerce Applications Lecture 8 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!! Section 2: Personalizing User Experience with Generative AI Lecture 9 The Importance of Personalized Experiences in E-commerce Success Lecture 10 How Generative AI Enhances Individual Customer Journeys Online Lecture 11 Examples of Personalized Website Interactions Using AI Technologies Lecture 12 Case Study: Improved Customer Engagement Through Personalization Lecture 13 Tips for Getting Started with Personalized Marketing in E-commerce Section 3: Using AI for Product Recommendations Lecture 14 Introduction to AI-Driven Product Recommendation Engines Lecture 15 How Generative AI Analyzes Data to Suggest Relevant Products Lecture 16 Examples of Successful AI Product Recommendation Campaigns Lecture 17 Case Study: Increased Conversion Rates with Personalized Recommendations Lecture 18 Tips for Customizing Product Suggestions for Better Customer Engagement Section 4: Automating Product Descriptions with Generative AI Lecture 19 How Generative AI Can Create Compelling Product Descriptions at Scale Lecture 20 Examples of AI-Generated Product Descriptions in E-commerce Lecture 21 Case Study: Improved SEO and Engagement with Automated Descriptions Lecture 22 Tips for Maintaining Brand Consistency in AI-Generated Content Lecture 23 Balancing Automation and Quality Control for Product Description Creation Section 5: Enhancing E-commerce Marketing Campaigns with AI Lecture 24 Using Generative AI to Develop Targeted E-commerce Marketing Campaigns Lecture 25 Examples of AI-Driven Campaigns to Increase Traffic and Conversions Lecture 26 Case Study: Leveraging AI to Create Personalized Email Campaigns Lecture 27 How AI Can Improve Social Media Advertising for E-commerce Brands Lecture 28 Tips for Integrating AI into Existing Marketing Workflows Lecture 29 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >> Section 6: Real-Time Personalization for E-commerce Websites Lecture 30 Understanding Real-Time Personalization and Its Impact on User Experience Lecture 31 How AI Helps Deliver Real-Time Personalization on E-commerce Sites Lecture 32 Examples of Dynamic Content Adjustments Based on User Behavior Lecture 33 Case Study: Enhancing Real-Time Customer Engagement Using AI Lecture 34 Tips for Implementing Real-Time Personalization for Seamless Experiences Section 7: Leveraging Customer Data for AI Personalization Lecture 35 The Role of Customer Data in Developing AI Personalization Strategies Lecture 36 How to Collect and Organize Customer Data for AI Analysis Lecture 37 Examples of Data-Driven Personalization in E-commerce Marketing Lecture 38 Case Study: Using AI to Understand and Segment E-commerce Customers Lecture 39 Tips for Balancing Data Privacy with Personalized User Experiences Section 8: AI Chatbots for Customer Interaction and Support Lecture 40 The Role of AI Chatbots in E-commerce Customer Service and Engagement Lecture 41 How Chatbots Use Generative AI to Answer Customer Queries Effectively Lecture 42 Examples of E-commerce Chatbots Enhancing Customer Satisfaction Lecture 43 Case Study: Increased Conversions with AI-Driven Chatbot Assistance Lecture 44 Tips for Designing Conversational AI That Aligns with Brand Identity Section 9: Case Studies: Generative AI in E-commerce Success Lecture 45 Case Study: AI Personalization Driving Higher Retention Rates in E-commerce Lecture 46 Case Study: Generative AI for Cross-Selling and Upselling Strategies Lecture 47 Examples of Small Businesses Using AI for Improved Customer Experience Lecture 48 Lessons Learned from AI Implementation in Large Retailers Lecture 49 Case Study: AI-Driven Content Creation and Its Impact on SEO Section 10: Generative AI in Email and Retargeting Campaigns Lecture 50 How AI Can Enhance the Personalization of Email Marketing Campaigns Lecture 51 Examples of AI-Driven Retargeting Campaigns for Abandoned Carts Lecture 52 Case Study: Improved Customer Retargeting with Personalized Emails Lecture 53 Tips for Crafting AI-Personalized Retargeting Messages for E-commerce Lecture 54 Balancing Automation with Authentic Engagement in Email Campaigns Lecture 55 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >> Section 11: Customer Journey Mapping Using Generative AI Lecture 56 Understanding the Customer Journey in the Context of E-commerce Lecture 57 How Generative AI Contributes to Enhanced Journey Mapping and Insights Lecture 58 Examples of AI Identifying Customer Touchpoints for Improved Experience Lecture 59 Case Study: Enhanced Customer Journeys Using AI Insights and Analysis Lecture 60 Tips for Utilizing AI Insights to Adapt the Customer Journey Section 12: Improving Visual Content with Generative AI Lecture 61 Introduction to AI Tools for Creating and Enhancing Visual Content Lecture 62 How AI Generates Product Images and Customizes Visual Experiences Lecture 63 Examples of AI-Driven Visual Content for E-commerce Product Pages Lecture 64 Case Study: Increased Click-Through Rates with AI-Generated Visuals Lecture 65 Tips for Ensuring High-Quality AI Visual Content that Drives Engagement Section 13: Building Personalized Promotions and Offers with AI Lecture 66 How AI Helps Create Customized Promotions for Different Customer Segments Lecture 67 Examples of Personalized Discount Strategies Driven by Generative AI Lecture 68 Case Study: Increased Sales with Tailored Offers in E-commerce Lecture 69 Tips for Designing Offers Based on Real-Time AI Customer Analysis Lecture 70 Balancing Generative AI with Personalized Promotion Effectiveness Section 14: Augmented Reality and Virtual Reality in E-commerce Lecture 71 Introduction to AR and VR Technologies and Their Integration with AI Lecture 72 Examples of AR and VR Enhancing the E-commerce Shopping Experience Lecture 73 Case Study: Using AI-Enhanced AR Tools for Virtual Product Trials Lecture 74 How AI Personalizes AR and VR Experiences for Unique Users Lecture 75 Tips for Leveraging AR and VR to Increase Customer Engagement Section 15: Enhancing Product Discovery with Generative AI Lecture 76 How Generative AI Can Improve Product Discovery on E-commerce Sites Lecture 77 Examples of Search Personalization Using AI to Simplify Product Browsing Lecture 78 Case Study: Enhanced Product Discovery and Engagement Through AI Lecture 79 Tips for Creating Intuitive AI-Driven Search Experiences for Customers Lecture 80 Techniques for AI Personalization Based on Product Viewing Behaviors Lecture 81 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >> Section 16: AI-Driven Customer Reviews and Feedback Management Lecture 82 The Role of AI in Analyzing Customer Reviews and Generating Insights Lecture 83 How AI Generates Review Summaries for Better Customer Decision-Making Lecture 84 Examples of Using AI to Improve Feedback Collection in E-commerce Lecture 85 Case Study: Increased Trust and Credibility with AI-Managed Reviews Lecture 86 Tips for Using AI to Monitor and Respond to Customer Feedback Section 17: Generative AI for Upselling and Cross-Selling Opportunities Lecture 87 How AI Identifies Opportunities for Upselling and Cross-Selling in Real Time Lecture 88 Examples of AI-Driven Cross-Sell Recommendations for Product Bundles Lecture 89 Case Study: Improved Sales Metrics with AI Upselling Techniques Lecture 90 Tips for Balancing Automation and Relevance in Upselling Strategies Lecture 91 Using Customer Behavior Data to Inform AI Upsell and Cross-Sell Tactics Section 18: Ethical Considerations in Using AI for E-commerce Lecture 92 Understanding Ethical Concerns When Using AI for Personalized Marketing Lecture 93 Ensuring Privacy and Transparency in AI-Driven Personalization Campaigns Lecture 94 Examples of Brands Maintaining Ethical Standards in AI Use Lecture 95 Case Study: Challenges Faced in Ethical AI Implementation for Retail Lecture 96 Guidelines for Using Generative AI in a Responsible and Trustworthy Manner Section 19: Measuring the Success of AI in E-commerce Strategies Lecture 97 How to Track the Effectiveness of AI-Driven E-commerce Campaigns Lecture 98 Key Performance Indicators to Measure the Impact of Personalization Lecture 99 Case Study: Evaluating the ROI of AI-Enhanced E-commerce Campaigns Lecture 100 Examples of Using Data Analytics to Optimize AI Strategies Lecture 101 Tips for Continual Improvement of AI-Driven Marketing Efforts Section 20: Preparing for Future Trends in AI and E-commerce Lecture 102 Exploring Emerging AI Trends Shaping the Future of E-commerce Lecture 103 How Advances in Generative AI Will Transform Online Retail Marketing Lecture 104 Examples of Innovative AI Technologies to Watch in E-commerce Lecture 105 Preparing E-commerce Teams for Future AI Developments and Trends Lecture 106 Setting Long-Term AI Strategy Goals to Drive E-commerce Growth Lecture 107 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!! Section 21: Your Assignment: Write down goals to improve your life and achieve your goals!! E-commerce professionals looking to leverage AI for enhancing online sales and customer engagement.,Digital marketing managers seeking to incorporate AI technologies into their marketing strategies to improve campaign results.,Online retail business owners interested in personalizing the shopping experience and maximizing conversion rates through AI-driven recommendations and content.,Technology developers and AI specialists focusing on creating and implementing generative AI solutions within the e-commerce sector.,Small to medium enterprise (SME) owners aiming to compete with larger companies by adopting AI for improved customer insights, personalization, and operational efficiency.,Marketing and business students or recent graduates looking to understand the current and future impact of AI on e-commerce strategies and practices. 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Free Download Deep Learning and Generative AI Data Prep, Analysis, and Visualization with Python Released 10/2024 With Gwendolyn Stripling MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 56m 27s | Size: 267 MB Learn the knowledge and practical skills needed to effectively utilize deep learning techniques using the Python programming language. Course details If you're looking to keep up with the rapid advancements and applications of deep learning techniques, this course provides a comprehensive guide that can help you stay relevant and competitive in the evolving landscape of AI and data-driven technologies. Instructor Gwendolyn Stripling shows you how to transform raw data into valuable insights and build the foundation for cutting-edge AI applications. The course focuses on the concepts, with minimal coding required, so even if you're not an experienced coder, Gwendolyn shows you how to use simple Python code to work with data. Test your learning with a series of challenges, and cap off the course with building and evaluating a predictive and generative model. Homepage https://www.linkedin.com/learning/deep-learning-and-generative-ai-data-prep-analysis-and-visualization-with-python Rapidgator https://rg.to/file/06bb3ecf96c5aad34c65eeaac70f12df/ayxhw.Deep.Learning.and.Generative.AI.Data.Prep.Analysis.and.Visualization.with.Python.rar.html Fikper Free Download https://fikper.com/bc1tA3GKuw/ayxhw.Deep.Learning.and.Generative.AI.Data.Prep.Analysis.and.Visualization.with.Python.rar.html No Password - Links are Interchangeable

Free Download Cybersecurity Defense with Generative AI - 100 Lessons Guide Published 10/2024 Created by Peter Alkema,Regenesys Business School MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 104 Lectures ( 8h 16m ) | Size: 5.64 GB Master Cybersecurity Basics: Protect Networks, Data, and Applications while Learning Key Threats and Security Policies What you'll learn Understand cybersecurity basics, including network, application, and data security, to protect digital assets and systems from threats Recognize and mitigate cyber threats like malware and phishing, learning techniques to reduce risks and enhance system security Develop practical skills in password protection, document security, and basic malware analysis through hands-on cybersecurity exercises Create and enforce cybersecurity policies to safeguard organizational systems and ensure compliance with best security practices Requirements Basic Computer Skills: Learners should be comfortable using a computer, navigating the internet, and working with common applications No Prior Cybersecurity Knowledge Required: This course is beginner-friendly, so no previous experience in cybersecurity is needed Access to a Computer and Internet: Learners will need a computer with an internet connection to parti[beeep]te in the course and complete hands-on exercises Optional Software: Basic knowledge of Microsoft Office (Word, Excel, PowerPoint) is helpful but not mandatory. Learners can download free tools for hands-on experiments Description Imagine this: You're sitting at your desk one day when you receive a suspicious email. It looks harmless enough at first glance-a routine update from a service you use-but something seems off. You hesitate. Do you click the link? Do you ignore it? Without a deep understanding of cybersecurity, this seemingly small decision could have massive consequences. That one click could compromise your personal information, company data, or even open the door to malicious hackers.Now, imagine you're prepared. Armed with the knowledge of how cyber threats work, you instantly recognize the red flags of a phishing attempt. Instead of falling victim, you take action, protecting yourself, your devices, and possibly your entire organization. You're not just someone at the mercy of cyber threats anymore-you're the hero, equipped with the right tools to navigate the digital landscape safely.In this Cybersecurity Fundamentals course, you'll transform from someone who might not even know what malware is to a savvy, security-conscious individual who can confidently protect networks, data, and applications. Whether you're a complete beginner or someone with basic computer skills looking to sharpen your expertise, this course is designed to equip you with the knowledge and practical skills to stay one step ahead of the hackers.Why Take This Course?In a world where data breaches, phishing scams, and ransomware attacks make the news daily, cybersecurity is no longer an optional skill-it's essential. Whether you're a professional seeking to protect your company's sensitive information or a student looking to enter the growing field of cybersecurity, this course has something for everyone. You don't need prior cybersecurity knowledge, just a willingness to learn and a desire to protect yourself in the digital age.What Will You Learn?Over the course of 27 sections and 105 lectures, you'll dive deep into the essential areas of cybersecurity, ensuring that by the end, you'll have a well-rounded foundation. The course begins with an Introduction to Cybersecurity, covering why it's important and what's at stake. We'll guide you through the various types of threats-like phishing, malware, and ransomware-and help you understand how these attacks happen and how to prevent them.Next, we explore key areas of security, such as Network Security, Application Security, and Data Security. You'll learn how to secure your home or work network, safeguard sensitive applications, and protect the integrity of your data. We'll also cover more advanced topics like Mobile Security, ensuring you understand the vulnerabilities of smartphones and tablets, and Cloud Security, helping you secure data in cloud-based services.One of the unique aspects of this course is the hands-on approach. You'll get to complete several experiments, such as creating strong passwords, setting up security for Word and Excel documents, and analyzing your personal computer's security settings. These exercises will help you apply what you've learned in real-world scenarios, so you'll be able to take immediate steps to improve your digital security.As the course progresses, you'll also delve into the world of Enterprise Architecture and Malware Analysis, helping you understand how organizations structure their security and how malicious software is studied and countered. We'll even touch on Cyber Forensics, giving you insight into the methods professionals use to investigate cybercrimes.Practical Application for Every LearnerWhether you're looking to bolster your career or simply want to protect your personal devices, this course is packed with practical knowledge. By learning about cybersecurity policies, user protocols, and how to mitigate attacks, you'll be prepared to face the digital world confidently. As you move through topics like web application security, network traffic analysis, and even database security, you'll gain skills that are applicable in many different settings-personal, academic, and professional.Become the Cybersecurity HeroBy the end of this course, you won't just have a deeper understanding of cybersecurity-you'll have the tools to take action. Whether it's at home, at work, or in a larger organizational setting, you'll know how to protect digital assets, secure systems, and prevent attacks before they happen.Enroll now and take your first step toward becoming the cybersecurity hero of your own story! Who this course is for This course is ideal for beginners interested in entering the field of cybersecurity, as well as professionals from IT, business, or related fields who want to enhance their understanding of cyber threats and security measures. It's also perfect for students who want to build a strong foundation in cybersecurity or anyone who wishes to protect their personal or organizational data from online threats. 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Free Download Customer Experience With Generative Ai (2024) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.93 GB | Duration: 5h 16m Mastering AI in Customer Experience: Chatbots, Personalization, Data Analysis, and Ethical Practices for Next-Level Enga What you'll learn Identify and explain the fundamentals of customer experience in digital marketing and its importance for businesses. Describe generative AI technology and its impact on enhancing customer experience across various digital platforms. Analyze real-world examples of how AI is transforming customer engagement and personalization in different industries. Apply principles of generative AI to personalize customer journeys at scale, using specific tools and strategies. Evaluate the benefits and challenges associated with employing AI technologies to improve customer experience initiatives. Summarize the key technologies behind generative AI and their roles in shaping modern customer experiences. Create engaging and personalized marketing content using generative AI tools, following best practices for content development. Design and implement effective AI-driven chatbot solutions to improve customer service and interaction. Demonstrate the process of using generative AI to develop personalized marketing strategies that align with customer preferences and behaviors. Develop a customer recommendation system using AI techniques to enhance engagement and increase sales. Assess the effectiveness of AI-enhanced loyalty programs in retaining customers and building long-term relationships. Utilize generative AI to analyze customer data, deriving insights that inform personalized marketing campaigns. Construct AI-driven emotional connections with customers, employing techniques that allow AI to understand and respond to customer sentiments. Integrate generative AI into an omni-channel customer experience strategy, ensuring seamless customer engagement across all touchpoints. Employ AI for dynamic customer segmentation, using data analysis to identify and target specific customer groups effectively. Identify and address ethical considerations and privacy concerns when utilizing AI in customer interactions and data analysis. Leverage generative AI to enhance content marketing strategies, producing more relevant and personalized content for target audiences. Measure the impact of AI-driven initiatives on customer experience, using key performance indicators to evaluate success and areas for improvement. Collaborate with generative AI tools alongside human teams to craft superior customer experiences, balancing automation with a personal touch. Prepare for future trends in generative AI, anti[beeep]ting its evolving role in customer experience and planning for its integration into marketing strategies. Requirements There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course. Basic understanding of digital marketing concepts and strategies. Familiarity with customer service practices and principles. Basic knowledge of artificial intelligence and machine learning basics. Description Are you ready to revolutionize the way you engage with your customers? Dive into our comprehensive course on "Enhancing Customer Experience with Generative AI" and discover the power of AI in transforming customer interactions across industries. With AI becoming increasingly integrated into marketing strategies, understanding how to leverage Generative AI for personalized customer experiences is essential in today's digital landscape.Our team of experts has curated a cutting-edge curriculum that delves deep into the fundamentals of Generative AI and its applications in customer engagement. From AI-driven content creation to personalized marketing strategies, you will explore a wide range of topics designed to elevate your customer experience initiatives. Throughout the course, you will learn how AI chatbots can enhance customer interactions, how to create AI-driven customer recommendation systems, and the significance of personalization in marketing using Generative AI. Real-life case studies will highlight successful AI implementations, providing valuable insights into building emotional connections with customers through AI-powered solutions.One of the key highlights of the course is the focus on ethical considerations in AI customer engagement, ensuring that you understand how to maintain privacy and transparency in your AI-driven strategies. You will also learn how to measure the success of AI-driven customer experience campaigns, enabling you to track and optimize your efforts effectively.As you progress through the course, you will collaborate with AI to achieve better customer experience outcomes, understanding the importance of human-AI collaboration in crafting personalized experiences. The course will immerse you in the future of customer experience with AI, exploring emerging trends and innovations that will shape the way you engage with your customers.By the end of the course, you will be equipped with the knowledge and skills to implement Generative AI strategies that enhance customer loyalty, retention, and satisfaction. You will have a deep understanding of how AI can analyze customer data, personalize marketing content, and create seamless omni-channel experiences that drive customer engagement.Whether you are a marketer, business owner, or aspiring AI professional, this course is your gateway to mastering the art of enhancing customer experience with Generative AI. Join us on this transformative journey and unlock the potential of AI to create memorable and impactful customer interactions. Are you ready to revolutionize your customer experience strategies? Enroll now and take your customer engagement to the next level! Overview Section 1: Introduction to Customer Experience and Generative AI Lecture 1 Understanding Customer Experience in the Context of Digital Marketing Lecture 2 Download The *Amazing* +100 Page Workbook For this Course Lecture 3 Introduce Yourself To Your Fellow Students And Tell Us What You Want To Learn Lecture 4 Overview of Generative AI and Its Impact on Customer Experience Lecture 5 Examples of AI Transforming Customer Engagement Across Industries Lecture 6 The Role of AI in Personalizing Customer Journeys at Scale Lecture 7 Benefits and Challenges of Using AI in Enhancing Customer Experience Lecture 8 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!! Section 2: Fundamentals of Generative AI and Its Applications Lecture 9 Introduction to Generative AI Technologies for Marketers Lecture 10 How AI Models Like ChatGPT Are Shaping Customer Experience Lecture 11 Real-Life Examples of Generative AI Use Cases in Customer Engagement Lecture 12 Case Study: Brands Successfully Leveraging Generative AI Solutions Lecture 13 Key Components of Generative AI for Personalization and Interaction Section 3: Enhancing Customer Experience with AI-Powered Content Lecture 14 Introduction to AI-Generated Content for Engaging Customers Lecture 15 How AI Can Create Personalized Messages Across Customer Touchpoints Lecture 16 Examples of AI-Driven Content Creation in Marketing Campaigns Lecture 17 Tips for Using AI to Develop Customer-Focused Marketing Copy Lecture 18 Case Study: Improved Engagement with AI-Powered Content Generation Section 4: AI Chatbots and Their Role in Customer Interaction Lecture 19 The Evolution of Chatbots and Their Impact on Customer Service Lecture 20 How Generative AI Powers Advanced Chatbot Conversations Lecture 21 Examples of Effective AI Chatbots in E-Commerce and Customer Support Lecture 22 Case Study: Improving Customer Satisfaction with AI-Driven Chatbots Lecture 23 Best Practices for Designing Conversational AI to Enhance Experience Section 5: Personalization in Marketing Using Generative AI Lecture 24 Understanding the Importance of Personalization in Customer Experience Lecture 25 How Generative AI Supports Personalized Marketing Strategies Lecture 26 Examples of AI-Generated Personalized Content Across Digital Channels Lecture 27 Case Study: Personalized Customer Journeys Created Using Generative AI Lecture 28 Tips for Balancing AI Automation with Personal Touch in Marketing Lecture 29 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >> Section 6: Creating AI-Driven Customer Recommendation Systems Lecture 30 Introduction to Recommendation Systems for Improved Customer Engagement Lecture 31 How AI Uses Data to Deliver Personalized Product Recommendations Lecture 32 Examples of Recommendation Systems Boosting Customer Retention Lecture 33 Case Study: Increased Sales Through AI-Driven Product Suggestions Lecture 34 Best Practices for Implementing AI Recommendations in Marketing Section 7: Real-Life Case Studies: AI Transforming Customer Experience Lecture 35 Case Study: AI Enhancing Customer Loyalty Programs for Retail Brands Lecture 36 How an AI Chatbot Improved Customer Support for a Small Business Lecture 37 Examples of Global Brands Using AI to Create Memorable Experiences Lecture 38 Lessons Learned from Failed AI Implementations in Customer Engagement Lecture 39 Case Study: AI-Driven Personalization in Subscription-Based Services Section 8: Using Generative AI to Analyze Customer Data Lecture 40 Introduction to Customer Data and Its Role in AI Personalization Lecture 41 How Generative AI Models Can Analyze Customer Behavior Effectively Lecture 42 Examples of AI Using Data to Create Personalized Customer Experiences Lecture 43 Case Study: Using AI Data Insights to Adapt Marketing Campaigns Lecture 44 Techniques for Leveraging AI Data Analysis in Enhancing Engagement Section 9: Building Emotional Connections with AI Customer Interactions Lecture 45 How AI Can Be Trained to Understand and Respond to Emotions Lecture 46 Creating Conversational AI That Resonates with Customer Sentiment Lecture 47 Case Study: Brands That Successfully Built Emotional Connections with AI Lecture 48 Examples of Using AI-Driven Empathy to Improve Customer Relationships Lecture 49 Tips for Humanizing AI Interactions to Create Emotional Resonance Section 10: Generative AI in Omni-Channel Customer Experience Lecture 50 Understanding Omni-Channel Customer Experience and AI Integration Lecture 51 How Generative AI Can Connect Customer Journeys Across Channels Lecture 52 Examples of Seamless Customer Engagement with AI-Driven Omni-Channel Lecture 53 Case Study: Enhancing Omni-Channel Experience with Generative AI Tools Lecture 54 Tips for Integrating AI Across Digital and Physical Touchpoints Lecture 55 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >> Section 11: Personalizing E-Commerce Experiences with Generative AI Lecture 56 How AI Enhances the Shopping Journey in E-Commerce Platforms Lecture 57 Examples of Personalized Product Recommendations Using AI Lecture 58 Case Study: Boosting E-Commerce Conversion Rates with Generative AI Lecture 59 Tips for Using AI to Create Customized Shopping Experiences Lecture 60 Understanding AI's Role in Dynamic Pricing and E-Commerce Personalization Section 12: Leveraging AI for Dynamic Customer Segmentation Lecture 61 Introduction to Dynamic Customer Segmentation Using AI Lecture 62 How Generative AI Analyzes Data to Identify Customer Segments Lecture 63 Case Study: Improved Segmentation and Targeting with AI Insights Lecture 64 Tips for Developing AI-Driven Strategies to Reach Specific Customer Groups Lecture 65 Examples of Tailoring Marketing Messages to Dynamic Customer Segments Section 13: Overcoming Challenges in AI Customer Experience Solutions Lecture 66 Understanding Common Challenges in Implementing AI for CX Lecture 67 Case Study: Challenges in Adapting AI for Customer Experience Lecture 68 Examples of Strategies for Overcoming AI Implementation Hurdles Lecture 69 Tips for Training AI Systems to Overcome Limitations in Customer Service Lecture 70 Maintaining Flexibility When AI Solutions Don't Meet Expectations Section 14: Integrating AI Chatbots in Customer Support Ecosystems Lecture 71 The Role of AI Chatbots in Modern Customer Service Strategies Lecture 72 Examples of AI Enhancing the Customer Support Process Lecture 73 Case Study: Improved First Response Time Through AI Chatbots Lecture 74 Tips for Using AI Chatbots to Complement Human Support Teams Lecture 75 Best Practices for Training AI Chatbots to Handle Complex Queries Section 15: Generative AI in Improving Customer Loyalty and Retention Lecture 76 How Personalized Experiences Contribute to Building Customer Loyalty Lecture 77 Examples of AI-Driven Loyalty Programs that Foster Engagement Lecture 78 Case Study: AI Tools in Strengthening Customer Retention Efforts Lecture 79 Tips for Using Generative AI to Create Rewarding Customer Experiences Lecture 80 Balancing Automation and Human Interaction to Foster Loyalty Lecture 81 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >> Section 16: Ethical Considerations in AI Customer Engagement Lecture 82 Understanding the Ethical Issues in Using AI for Customer Interaction Lecture 83 Best Practices for Ensuring Privacy in AI-Driven Personalization Lecture 84 Case Study: Managing Ethical Challenges in AI-Driven CX Solutions Lecture 85 Examples of Brands Ensuring Transparency in AI Customer Engagement Lecture 86 Guidelines for Creating Ethical and Trustworthy AI Interactions Section 17: Enhancing Content Marketing Strategies with Generative AI Lecture 87 How Generative AI Supports Content Planning for Better Engagement Lecture 88 Examples of AI-Driven Content Strategies that Resonate with Customers Lecture 89 Case Study: Using AI to Create Consistent and Personalized Content Plans Lecture 90 Tips for Incorporating Generative AI in Overall Content Strategy Lecture 91 How AI-Generated Content Complements Personalization Efforts Section 18: Measuring the Success of AI-Driven Customer Experience Lecture 92 How to Track and Measure AI Impact on Customer Engagement Metrics Lecture 93 Examples of Metrics for Evaluating AI Customer Experience Campaigns Lecture 94 Case Study: Analyzing the ROI of AI-Driven Personalization Campaigns Lecture 95 Tips for Using Data Insights to Adapt AI Customer Strategies Lecture 96 Key Performance Indicators to Monitor for AI Success in CX Section 19: Collaborating with AI for Better Customer Experience Outcomes Lecture 97 How Generative AI Can Work Alongside Human Teams in CX Efforts Lecture 98 Examples of Human-AI Collaboration in Crafting Personalized Experiences Lecture 99 Case Study: Improved Customer Interaction Through AI and Human Teams Lecture 100 Best Practices for Training Teams to Use Generative AI Effectively Lecture 101 Tips for Ensuring Seamless Integration Between Human and AI Contributions Section 20: Preparing for the Future of Customer Experience with AI Lecture 102 Exploring Emerging Trends in Generative AI for Customer Engagement Lecture 103 How AI Is Shaping the Future of Personalization in Marketing Campaigns Lecture 104 Anti[beeep]ting Customer Needs and Expectations with AI-Driven Insights Lecture 105 Case Study: Future Innovations in AI Personalization and Their Impact Lecture 106 Preparing Teams to Adapt and Innovate with Generative AI in CX Lecture 107 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!! Marketing professionals seeking to enhance their digital customer experience strategies with AI technology.,Small to medium business owners interested in leveraging generative AI to personalize their marketing efforts and improve customer engagement.,E-commerce managers looking for innovative ways to implement AI-driven recommendation systems to boost conversion rates.,Customer service team leaders aiming to improve their support systems through AI chatbots and dynamic customer segmentation.,Content creators and digital marketers interested in employing AI-generated content to create more engaging and personalized marketing campaigns.,Data analysts in the marketing field who wish to understand and apply AI for customer data analysis to tailor marketing strategies more effectively. 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Free Download Brand Management with Generative AI Published 10/2024 Created by Peter Alkema,Media Training Worldwide Digital MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 107 Lectures ( 5h 11m ) | Size: 6 GB Master Generative AI in Branding: Build Identity Engage Audience & Amplify Digital Presence with Latest AI Strategie What you'll learn Explain the fundamentals of brand management and their significance in marketing using real-world examples. Describe the basic principles of generative AI and articulate its relevance to modern branding strategies. Apply generative AI tools to develop and shape innovative brand strategies for various industry sectors. Create engaging brand narratives using AI-driven storytelling techniques tailored for digital marketing campaigns. Analyze successful case studies where generative AI has played a pivotal role in brand development and identity creation. Utilize generative AI technologies to craft a unique brand identity, including visual elements and brand voice. Enhance brand positioning in competitive markets by leveraging AI tools to uncover niche opportunities and differentiate from competitors. Generate creative brand stories and content using AI-driven generation tools, ensuring alignment with brand values and tone. Personalize brand messaging and campaign strategies based on AI-derived insights into consumer preferences and behaviors Design innovative visual branding assets using generative AI creativity, maintaining a balance between AI innovation and brand consistency. Ensure brand consistency across AI-generated content channels by developing techniques for reviewing and aligning AI-generated material with brand standards Apply sentiment analysis and AI tools to monitor brand perception and adjust branding strategies in real-time based on consumer feedback Integrate generative AI into digital marketing efforts to amplify brand reach and engagement on social media and other digital channels. Customize global brand messaging and strategies using AI to cater to diverse markets, ensuring regional branding preferences are accounted for. Identify ethical considerations and maintain authenticity when employing generative AI in brand content creation and communication strategies Utilize AI-driven techniques for more personalized and targeted brand messaging, balancing automation with authentic human connection. Enhance brand loyalty programs and customer experience through the strategic use of AI for personalization and engagement. Analyze competitive brands using generative AI tools, identifying strengths and weaknesses to refine brand positioning and strategy. Requirements There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course. Basic understanding of digital marketing concepts and principles. Familiarity with AI concepts or a keen interest in learning about AI technology Experience in using basic graphic design software could be beneficial for visual branding modules. Description Welcome to the transformative course on "Brand Management and Generative AI Concepts" that will revolutionize your approach to branding in the digital age. Are you ready to harness the power of artificial intelligence to elevate your brand strategy and create impactful campaigns that resonate with your target audience? In this comprehensive course, we will delve into the intersection of brand management and generative AI, exploring how AI technologies can enhance every aspect of your branding initiatives. Our team of experienced professionals will guide you through the fundamentals of brand management, the principles of generative AI, and their seamless integration for successful brand development.Embark on a journey where you will learn to craft a strong brand identity using AI tools, optimize brand positioning in competitive markets, and create compelling brand narratives through AI-driven storytelling. We will explore real-life case studies, best practices, and innovative techniques to help you build brand consistency, drive brand loyalty, and amplify your brand presence globally using generative AI insights.Throughout the course, you will discover how AI can be leveraged to analyze consumer preferences, tailor brand messaging, and enhance customer experiences for increased engagement and loyalty. Dive deep into the world of AI-generated content creation, visual branding, and personalized messaging to set your brand apart in a crowded digital landscape.Moreover, you will learn ethical considerations when utilizing generative AI in branding, ensuring authenticity and alignment with brand values at all times. Our interactive lessons will equip you with the knowledge and skills needed to navigate brand crises effectively, evaluate campaign performance using AI analytics, and optimize creative workflows with AI integration.By the end of this course, you will be equipped with the tools and insights to transform your brand management strategies, adapt to future trends in AI-driven branding, and position your brand for success in the ever-evolving digital marketplace. Join us on this exciting learning journey and unleash the full potential of your brand with the power of generative AI. Enroll now and take your branding efforts to the next level! Who this course is for Marketing Professionals looking to incorporate AI technology into their branding strategies. Brand Managers aiming to enhance brand identity, positioning, and engagement through generative AI. Creative Directors and Designers interested in leveraging AI for innovative visual branding and content creation Digital Marketers seeking to optimize online brand presence and customer engagement with AI-driven analytics and personalization Business Executives and Entrepreneurs wanting to understand how AI can improve competitive brand analysis, crisis management, and overall brand loyalty. Marketing Students and Academics researching the impact of generative AI on future branding trends and strategies. 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Free Download Applications of Generative AI in Learning and Development Released 10/2024 With Dr. Terri Horton MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 34m 44s | Size: 69 MB Learn to apply generative AI techniques to uncover and analyze learning needs, create strategically aligned learning objectives, and design engaging learning programs. Course details In this course, Dr. Terri Horton-a work futurist, consultant, speaker, and author-highlights several ways L&D professionals can harness the power of generative AI to elevate their learning and development programs and initiatives. Learn how to develop and curate high-quality content, construct interactive workshops and training modules, and craft relevant simulations, role plays, and coaching scripts. Gain the skills you need to design assessment tools to evaluate learning effectiveness, ensuring your programs meet organizational goals and learner needs. Plus, access a curated list of generative AI tools tailored for use in learning and development initiatives. By the end of this course, you will be equipped to integrate generative AI tools into your training initiatives to maximize impact and engagement while leading the future of learning in your organization. Homepage https://www.linkedin.com/learning/applications-of-generative-ai-in-learning-and-development Screenshot Rapidgator https://rg.to/file/20364bc27af481c688e10b0cee551165/gswil.Applications.of.Generative.AI.in.Learning.and.Development.rar.html Fikper Free Download https://fikper.com/ZnnIMomf4T/gswil.Applications.of.Generative.AI.in.Learning.and.Development.rar.html No Password - Links are Interchangeable

Free Download The Generative AI Risk Mitigation Course for Small Business Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 24m | Size: 2.56 GB Master Generative AI Safely and Effectively and Protect Your Business from AI Risks with Tailored Strategies What you'll learn The AI Landscape: Begin by exploring the vast, often misunderstood field of AI. We'll break it down and highlight where to focus your energy. AI and You: Understand the significance of the human element in AI interaction. Risks and Rewards: Dive into the risks posed by GenAI to your business and discover how to reap rewards safely and correctly. Personalized Strategy Development: Build a tailored strategy to utilize GenAI in your small business effectively. Requirements No AI experience is necessary. Just come with a desire to understand the implications of using AI in your business. Description What You'll Learn:The AI Landscape: Get a clear understanding of Artificial Intelligence and Generative AI, breaking down the key concepts to focus on what matters for your business.AI and You: Discover the critical role of human factors and how your interaction with AI affects your customers, employees, partners and stakeholders.Risks and Rewards: Identify the risks posed by GenAI, including data privacy issues, IP violations, and customer backlash, and learn how to mitigate them effectively.Personalized Strategy Development: Build a tailored GenAI risk mitigation plan that fits your business's unique needs and goals.Course Benefits:Gain a comprehensive understanding of the current GenAI landscape and its business applications.Learn to assess and mitigate the risks associated with using GenAI in your operations.Develop a personalized strategy for safely integrating GenAI into your business.Implement GenAI tools with confidence, minimizing risks and maximizing opportunities.Who Should Enroll?Small Business Owners, Managers, and Solopreneurs: Anyone looking to integrate GenAI into their business while minimizing risks.Entrepreneurs and Innovators: Those who want to understand the balance between the risks and rewards of AI.Professionals Seeking AI Knowledge: Individuals who want to gain a solid understanding of GenAI and its potential impact on business operations.Why Enroll Now?The AI landscape is rapidly evolving, and businesses that act now will have a competitive edge. Don't be left behind in this technological revolution. This course provides you with the knowledge and practical tools to confidently integrate GenAI into your business, protecting yourself from risks while unlocking new opportunities for growth and efficiency. Who this course is for This course is for business owners, managers, or operators, solopreneurs, and entrepreneurs curious about what precautions they should take to protect against the various risks of using generative AI (GenAI) tools like ChatGPT, Gemini, Bard, Claude, etc.; including hallucinations, data privacy issues, IP violation lawsuits, loss of IP protection, employee revolts, and customer backlash. Homepage https://www.udemy.com/course/the-generative-ai-risk-mitigation-course-for-small-business/ Rapidgator https://rg.to/file/555f44781536900e19db59bcd7832539/oriic.The.Generative.AI.Risk.Mitigation.Course.for.Small.Business.part1.rar.html https://rg.to/file/079cc75b1c66f63dddade96e15bb3aca/oriic.The.Generative.AI.Risk.Mitigation.Course.for.Small.Business.part2.rar.html https://rg.to/file/adfc2fe1c50939419238fc9ba5277a81/oriic.The.Generative.AI.Risk.Mitigation.Course.for.Small.Business.part3.rar.html Fikper Free Download https://fikper.com/5aeChUyMyb/oriic.The.Generative.AI.Risk.Mitigation.Course.for.Small.Business.part1.rar https://fikper.com/CP8AnKWXbM/oriic.The.Generative.AI.Risk.Mitigation.Course.for.Small.Business.part2.rar https://fikper.com/fqsgWQCPXi/oriic.The.Generative.AI.Risk.Mitigation.Course.for.Small.Business.part3.rar No Password - Links are Interchangeable

Free Download Software Development Superstream - Generative AI to Improve Software Development Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 11m | Size: 688 MB Video description Sponsored by Tabnine ChatGPT and similar tools have made their mark on software development. Understanding how to work with generative AI is now a core skill for almost every software developer. Join us to discover how to use generative AI to benefit the software development lifecycle. You'll explore available AI tools that can help with common development skills-including code generation and auto-completion, bug detection and code review, automated testing, UI and UX, performance, and documentation-then learn how to incorporate these tools into your workflow. What you'll learn and how you can apply it Put AI-assisted code generation in context and consider the caveats that come with using these tools and the proper checks and guardrails to have in place Some practical solutions for using the latest state-of-the-art models in real-world applications and distilling their knowledge into smaller and faster components that you can run and maintain in-house This live course is for you because... You're a developer who wants to find your skills gaps with generative AI tools and upskill to use these time-saving tools. You want to learn how to choose between AI models and integrate generative AI into all parts of the SDLC. Rapidgator https://rg.to/file/cd1d7543e1b7083c7d5ee547c18722c1/iqfms.Software.Development.Superstream.Generative.AI.to.Improve.Software.Development.rar.html Fikper Free Download https://fikper.com/2e8HSJCG4q/iqfms.Software.Development.Superstream.Generative.AI.to.Improve.Software.Development.rar No Password - Links are Interchangeable