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Free Download Udemy - Certification In Generative AI Models And Tools Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.28 GB | Duration: 6h 13m Learn Generative AI and tools like DALLE, Jasper, ChatGPT, BERT, Synthesia, RunwayML with models and networks. What you'll learn You will learn about the Introduction of Generative AI, including its history, evolution, and key differences from traditional AI and machine learning You will gain expertise in Core Generative AI Technologies, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs) Learn Transformer-based models such as GPT and BERT. You will also explore their applications in text, image, and video generation. Learn about Popular Generative AI Tools, covering text generation tools like ChatGPT and Jasper AI, image generation tools like DALL·E Learn MidJourney, and video/audio generation tools such as Synthesia and Runway ML. Explore their capabilities and real-world applications Develop hands-on skills in building Generative AI models, including data preparation, model training, and fine-tuning pre-trained models Gain proficiency in applying Generative AI to various fields such as content creation, code generation, personalized recommendations. Understand the Ethical Considerations and Challenges of Generative AI, including bias in AI models, intellectual property concerns, deepfake risks Explore the Future of Generative AI, including emerging trends, potential innovations, and career opportunities in AI research, development, and applications. Requirements You should have an interest in the fundamentals of Generative AI and how AI models generate text, images, and other media Be interested in gaining knowledge about popular Generative AI tools and their applications across industries Description DescriptionTake the next step in your AI journey! Whether you're an aspiring AI engineer, a creative professional, a business leader, or an AI enthusiast, this course will help you master the key concepts and technologies behind Generative AI. Learn how cutting-edge AI models like GANs, VAEs, and Transformers are transforming industries, from content creation to automation and beyond.With this course as your guide, you learn how to:Master the fundamental skills and concepts required for Generative AI, including deep learning, neural networks, and AI model training.Build and optimize Generative AI models using open-source libraries and frameworks, ensuring efficient AI-driven content generation.Access industry-standard tools such as ChatGPT, DALL·E, MidJourney, Stable Diffusion, and Synthesia for hands-on experimentation.Explore real-world applications of Generative AI in creative industries, automation, healthcare, and more.Invest in learning Generative AI today and gain the skills to create and manage AI-powered solutions that drive innovation.The Frameworks of the CourseEngaging video lectures, case studies, projects, downloadable resources, and interactive exercises- this course is designed to explore Generative AI, covering AI model architectures, practical applications, and real-world AI implementations.The course includes multiple case studies, resources such as templates, worksheets, reading materials, quizzes, self-assessments, and hands-on labs to deepen your understanding of Generative AI.In the first part of the course, you'll learn the foundations of AI, machine learning, and deep learning, along with the history and evolution of Generative AI.In the middle part of the course, you'll develop a deep understanding of GANs, VAEs, and Transformers, gaining hands-on experience with AI-powered tools and models.In the final part of the course, you'll explore the ethical considerations, real-world applications, and future trends in Generative AI, along with career opportunities in AI development and research. Course Content:Part 1Introduction and Study Plan· Introduction and know your instructor· Study Plan and Structure of the CourseModule 1. Introduction to Generative AI1.1. Overview of Artificial Intelligence and Machine Learning1.2. What is Generative AI?1.3. History and Evolution of Generative AI1.4. Applications of Generative AI in Various Fields1.5. Activity: Group discussion on popular generative AI use cases (e.g., ChatGPT, DALL·E, MidJourney)1.6. ConclusionModule 2. Core Technologies Behind Generative AI2.1. Neural Networks and Deep Learning Basics2.2. Introduction to Generative Adversarial Networks (GANs)2.3. Variational Autoencoders (VAEs)2.4. Transformers and Language Models (e.g., GPT, BERT)2.5. Activity: Hands-on experiment with a pre-trained model (e.g., GPT-3)2.6. ConclusionModule 3. Popular Generative AI Tools3.1. Text Generation Tools (ChatGPT, Jasper AI, Writesonic)3.2. Image Generation Tools (DALL E, MidJourney, Stable Diffusion)3.3. Video and Audio Generation Tools (Synthesia, Runaway ML, Resemble AI)3.4. Coding and Development Tools (GitHub Copilot, Tabnine)3.5. Activity: Practical exercises with tools like DALL E or ChatGPT3.6. ConclusionModule 4. Building Generative AI Models4.1. Data Preparation and Preprocessing4.2. Training GANs and Transformers4.3. Fine-tuning Pre-trained Models4.4. Deployment of Generative Models4.5. Activity: Build a simple text generator or image generator using Python and open-source libraries4.6. ConclusionModule 5. Use Cases of Generative AI5.1. Creative Content Generation (e.g., art, writing, video)5.2. Code Generation and Automation5.3. Personalized Recommendations5.4. Healthcare Applications (e.g., drug discovery, diagnosis aids)5.5. Activity: Case study analysis: Real-world applications of generative AI.5.6. ConclusionModule 6. Ethical Considerations and Challenges6.1. Bias in Generative Models6.2. Intellectual Property Concerns6.3. Security Risks (e.g., deepfakes)6.4. Addressing Environmental Impact (e.g., energy consumption of training models)6.5. Activity: Debate or panel discussion on ethical concerns in generative AI.6.6. ConclusionModule 7. Future of Generative AI7.1. Emerging Trends in Generative AI7.2. Potential Innovations in Tools and Applications7.3. Career Opportunities in Generative AI7.4. Activity: Research project: Predicting the future impact of generative AI on a specific industry.7.5. Conclusion AI enthusiasts looking to gain expertise in Generative AI, deep learning, and neural networks for text, image, and video generation.,Developers, data scientists, and engineers interested in learning how to build and fine-tune Generative AI models for various applications.,Content creators, marketers, and designers who want to leverage AI-powered tools for content generation. 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Free Download Udemy - Generative AI for Business Leaders by Pangolin Edge Published: 3/2025 Created by: Pangolin Edge MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 23 Lectures ( 2h 43m ) | Size: 1.3 GB Master AI Leadership: Drive Innovation, Make Strategic Decisions, and Transform Your Organization What you'll learn How to strategically evaluate AI opportunities, identifying high-value use cases and assessing organizational readiness. Techniques for successful AI implementation, including building cross-functional teams and creating practical adoption roadmaps Frameworks for responsible AI governance, covering ethics, compliance, privacy, and security practices that build trust. Methods to measure and maximize AI ROI, using metrics that capture both operational benefits and strategic value creation. Leadership skills for the AI era, fostering human-AI collaboration and driving cultural transformation for AI adoption. Requirements No technical skills or programming knowledge required! This course is specifically designed for business leaders and managers who are new to generative AI. You don't need any coding experience, data science background, or technical expertise. We explain all concepts in straightforward business language without technical jargon. All you need is curiosity about how AI can impact your organization and basic familiarity with everyday business applications. The course focuses entirely on strategic decision-making and practical leadership approaches, not technical implementation. This is a beginner-friendly introduction to generative AI designed specifically for non-technical leaders who want to understand AI's business implications and lead successful adoption. Description Generative AI for Leaders: From Strategy to ImplementationMaster AI Leadership Without Technical Expertise: Drive Innovation, Make Strategic Decisions, and Transform Your OrganizationAre you a business leader navigating the AI revolution without a technical background? Do you need to make strategic decisions about AI but feel overwhelmed by the technology? This course is your roadmap to AI leadership success.Generative AI for Leaders demystifies artificial intelligence for executives, managers, and aspiring leaders. In just 6 weeks, you'll go from AI novice to confident strategic leader, equipped with practical frameworks to implement AI initiatives that deliver real business value.What Makes This Course Different?Unlike technical AI courses, we focus exclusively on what business leaders need to know. No coding required. No mathematical formulas. No technical jargon. Instead, you'll learn how to:Identify high-impact AI opportunities specific to your industry and organizationBuild effective cross-functional teams that bridge technical and business expertiseCreate a practical AI roadmap aligned with your strategic objectivesNavigate ethical considerations and regulatory RequirementsMeasure AI ROI with metrics that matter to stakeholdersScale successful pilots to enterprise-wide capabilitiesReal-World Applications, Not TheoryThrough case studies from companies like Microsoft, Coca-Cola, and McKinsey, you'll see exactly how successful organizations implement AI strategies. Interactive exercises and workshops will help you apply these insights directly to your business challenges.Comprehensive Curriculum for Today's LeadersOur six-week program covers everything from AI fundamentals to future trends:Week 1: Introduction to Generative AI for non-technical leadersWeek 2: Business applications across marketing, operations, HR, and moreWeek 3: Leading successful AI adoption in your organizationWeek 4: Ethical considerations and responsible AI deploymentWeek 5: AI for competitive advantage and measuring impactWeek 6: Future AI trends and building your strategic roadmapWho Should Enroll?C-Suite executives seeking to drive AI strategy without technical expertiseDepartment heads looking to implement AI in their business unitsTransformation and innovation leaders responsible for digital initiativesAspiring executives who want to develop valuable AI leadership skillsConsultants advising clients on AI strategy and implementationJoin thousands of business leaders who have transformed their organizations through strategic AI adoption. No technical background required-just bring your leadership experience and readiness to drive change.Enroll today and lead with confidence in the AI era! Who this course is for Business executives and senior leaders who need to understand AI's strategic implications without getting lost in technical details. Department heads and team managers looking to identify and implement AI opportunities within their specific business functions. Innovation and transformation leaders responsible for driving digital adoption and organizational change initiatives. Aspiring leaders and entrepreneurs who want to develop AI literacy to advance their careers or build AI-enabled businesses. Business professionals with or without technical backgrounds who need practical frameworks to evaluate, implement, and scale AI in their organizations. 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Free Download Ai Video Creation With Runway Ml - A Generative Ai Course Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.16 GB | Duration: 1h 42m Quickly Master Runway ML to Generate AI Videos: Generative AI Video Creation, AI Video Editing, AI Filmmaking What you'll learn Create AI-Generated Videos: Use image-to-video and text-to-video techniques to generate high-quality video content from simple prompts. Master Runway ML Interface: Navigate Runway ML's platform with ease and understand its core tools for video creation and editing. Generate and Enhance Images: Learn to create stunning images with Runway ML's image generation tools and integrate them into your video projects. Craft Effective Prompts for Video Creation: Develop the skill of writing prompts that guide Runway ML to produce dynamic, creative video scenes. Edit Videos with Runway ML: Use Runway's editing tools to refine videos, add scenes, and make adjustments for professional results. Optimize Camera Settings for Professional Shots: Adjust camera settings in Runway ML to achieve high-quality, cinematic video compositions. Sync Audio and Lip Movements: Master lip-syncing techniques and integrate AI-driven audio with Suno for voiceovers and sound effects. Expand and Enhance Videos: Learn how to expand your videos by adding new clips, scenes, and creative elements to enrich the narrative and visual appeal. Requirements A computer with access Runway ML No prior experience-just your creativity! Description Do you want to create videos in minutes using the power of AI? Runway ML is your answer.Video creation with Runway ML is fast, intuitive, and incredibly creative.Whether you're a beginner or an experienced content creator, the Runway ML AI Video Course makes it easy to transform your ideas into stunning, professional-quality videos-all in just a few clicks.What You'll Learn in This Runway ML AI Video Course:Master Runway ML: Learn how to navigate the Runway ML platform and utilize its core tools for efficient and creative video production.Create AI-Generated Videos: Use image-to-video and text-to-video prompts to generate dynamic video scenes and expand your video content.Image and Video Integration: Generate images using Runway ML and seamlessly incorporate them into your videos to enhance visual storytelling.Advanced Editing & Camera Techniques: Gain skills in fine-tuning videos with Runway's editing tools, camera settings, and lip-syncing features for professional-quality results.Leverage AI Audio: Learn to integrate AI-generated audio with Suno, adding voiceovers and sound effects to elevate your video projects.Why Choose Runway ML Over Other AI Video Creators?Runway ML is the top choice for AI video creation, offering a unique combination of powerful tools and flexibility that sets it apart from other platforms like Sora or Adobe Firefly.All-in-One Platform: Unlike others, Runway ML integrates image generation, video creation, and editing in one seamless interface. This means you can create high-quality content without jumping between multiple tools.User-Friendly & Advanced: Whether you're a beginner or an experienced creator, Runway ML makes it easy to generate videos and offers advanced features for deep customization, giving you full control over your content.Cutting-Edge AI Technology: Runway ML constantly evolves, staying ahead with frequent updates and new features. Its AI-powered tools like Suno for audio integration provide a more comprehensive solution than other platforms.Future-Proof: With a versatile, streamlined experience, Runway ML offers a robust platform that grows with you, helping you create professional videos that stand out.Choose Runway ML for a truly all-in-one, future-ready video creation platform that takes your ideas from concept to reality.Key Video Lessons in This Runway ML AI Video CourseImage Tools Overview: Learn to create stunning images using Runway ML's image generation features.Runway ML Image Generation: Discover how to generate images and build your video from scratch.Video Creation Basics: Set up your project and generate your first video with ease.Image-to-Video Prompting: Master crafting prompts to turn images into dynamic videos.Camera Settings: Explore how to adjust camera features for professional-quality shots.Creating the First Scene: Start building your video with the first scene using prompts and visuals.Lip Syncing: Sync characters' lip movements with audio for realistic results.Expanding Your Video: Learn to expand your video by adding new scenes and clips.Why Learn With Us?We're Phil and Dan, full-time content creators passionate about helping others master tools like Runway ML to create standout videos.Your lead instructor is Dan Britain whoo has years of experience creating viral content for YouTube and mastering cutting-edge tools for AI-driven storytelling. His hands-on approach ensures you learn practical techniques that work with Runway ML. He's here to guide you step by step through the Runway ML AI Video Course.Phil brings over 20 years of experience as a content creator. From producing videos in home studios to teaching advanced tools. Together, we've taught millions of students through our highly-rated courses on video editing and content creation.What You'll NeedA computer with access to Runway MLNo prior experience-just your creativity!Ready to Create Stunning Videos with Runway ML?The future of video creation is here, and the Runway ML AI Video Course will help you master it.Enroll now to start creating professional-quality videos with Runway ML.Let's turn your imagination into reality.- Dan and Phil Overview Section 1: AI Video Fundamentals - Start Here Lecture 1 Introduction Lecture 2 Let's Make an AI Video Now! Lecture 3 Why Runway & Course Structure (Important) Lecture 4 Fundamentals: How AI Video is Created (3 ways) Section 2: Generating AI Images for Video (Runway Images) Lecture 5 Generating Images with Runway Step-by-Step Lecture 6 Generate Images for an AI Video Scene with me (course project) Lecture 7 Other AI Image Tools in Runway You Might Need Section 3: Generating AI Video with Runway Lecture 8 Runway Set-Up & Layout Lecture 9 Runway: Image to Video with Prompting Lecture 10 Runway: Camera Movement and Frames Lecture 11 Runway: Act-One (Animate with your own actions) Lecture 12 Runway: Lip Sync AI Video Lecture 13 Runway: Expand Video (16:9 to 9:16) Lecture 14 Creating an Ai Video With Runway Step-by-Step Lecture 15 AI Audio Section 4: Now What? Lecture 16 What to do now with your new AI skill? Lecture 17 AI Ethics & Law Lecture 18 Course Conclusion Content Creators: YouTubers, TikTokers, Instagram influencers, and marketers looking to level up their video content using Runway ML.,Business Owners: Create ads, promos, and brand videos effortlessly with Runway ML.,Online Educators: Make engaging e-learning content with Runway ML AI-generated visuals and narration.,Video Editors: Easily create the exact b-roll video footage you need for your video edits.,Aspiring Filmmakers: Experiment with storytelling, styles, and cinematic techniques to bring your ideas to life using the Runway ML AI Video Course. 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Free Download Generative Ai For Leaders And Managers - A Strategic Guide Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.15 GB | Duration: 2h 42m Harness AI to Drive Innovation, Enhance Decision-Making, and Lead Business Transformation What you'll learn Understand Generative AI Fundamentals Discover Real-World AI Applications for Business Develop a Business-Centric AI Strategy Master AI-Driven Decision-Making & Leadership Navigate the Ethics, Compliance & Risks of AI Future-Proof Leadership with AI Adoption Strategies Requirements Basic Understanding of Business & Leadership Curiosity About AI & Its Business Applications - No coding or data science knowledge is needed. Willingness to Experiment with AI Tools - Practical insights will be shared to test AI models with no-code solutions. Description In today's rapidly evolving business landscape, Generative AI (Gen AI) is transforming industries by enabling automation, enhancing decision-making, and driving innovation. This course is designed for business leaders, executives, managers, and entrepreneurs who want to understand and leverage the power of AI to optimize efficiency, improve strategic decision-making, and maintain a competitive advantage.This comprehensive course provides a strategic and practical exploration of how AI intersects with various business functions, equipping leaders with the knowledge, tools, and frameworks necessary to stay ahead in the AI-driven era. Parti[beeep]nts will gain insights into AI's real-world applications in marketing, sales, finance, human resources, and operations, enabling them to make informed decisions about AI adoption in their organizations.What Makes This Course Valuable?Business-Focused Approach - Unlike technical AI courses, this program is designed for non-technical professionals, providing clear and actionable AI strategies.Practical Decision-Making Frameworks - Learn how AI can enhance leadership effectiveness, optimize processes, and improve customer experiences.Real-World Case Studies - Explore examples of how leading companies have successfully integrated AI to drive business success.Ethical and Regulatory Considerations - Understand the challenges, risks, and ethical responsibilities of AI adoption to ensure compliance and fairness.Hands-On Exploration of AI Tools - Discover AI-powered business solutions, including AI-driven analytics, automation platforms, and content-generation tools.Key Learning OutcomesUnderstand the fundamentals of Generative AI and its impact on businesses.Explore AI applications across key business functions, including marketing, finance, HR, and operations.Learn how to develop and implement an AI strategy within your organization.Gain insights into AI-driven decision-making for leadership and management.Identify the challenges of AI adoption and how to overcome them.Stay ahead of emerging AI trends and future-proof your business.By the end of this course, parti[beeep]nts will have a clear AI adoption roadmap, enabling them to lead AI-driven transformation, foster innovation, and build future-ready organizations. Whether you are an executive, manager, or entrepreneur, this course will provide you with the expertise to confidently integrate AI into your business strategy.Enroll today and take the first step toward AI-powered leadership. Business Leaders & Executives,Managers & Decision-makers,Entrepreneurs & Start-up Founders,Strategy & Innovation Officers,Product Managers & Marketers,HR & Operations Leaders ?https://www.udemy.com/course/generative-ai-for-leaders-and-managers-a-strategic-guide/ Rapidgator https://rg.to/file/325849511c8fc239a03ef67f50447d18/cyvef.Generative.Ai.For.Leaders.And.Managers..A.Strategic.Guide.part1.rar.html https://rg.to/file/24adc9dcf6545eca7467b9534c54465c/cyvef.Generative.Ai.For.Leaders.And.Managers..A.Strategic.Guide.part2.rar.html Fikper Free Download https://fikper.com/jPAiflKSBx/cyvef.Generative.Ai.For.Leaders.And.Managers..A.Strategic.Guide.part1.rar.html https://fikper.com/HmkkBrAb8D/cyvef.Generative.Ai.For.Leaders.And.Managers..A.Strategic.Guide.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - H2O Generative Ai Starter Track Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 821.64 MB | Duration: 1h 4m Practical GenAI with h2oGPTe | Prompt Engineering, RAG Implementation, and Enterprise Applications What you'll learn Understand Generative AI principles and its key advantages. Develop effective prompt engineering techniques. Implement RAG for context-aware AI responses. Configure and integrate h2oGPTe for AI-powered workflows. Requirements A basic understanding of AI concepts and Large Language Models (LLMs) is recommended but not required. Description H2O Generative AI Starter Track introduces you to the practical applications of Generative AI technology using h2oGPTe, H2O's advanced enterprise platform.This beginner friendly course provides a structured pathway from foundational concepts to hands-on implementation. You will begin with core Generative AI principles before essential developing practical skills in prompt engineering, Retrieval-Augmented Generation (RAG), and enterprise AI integration.Course highlights include:Understanding the three AI paradigms and the distinct advantages of Generative AIDeveloping effective prompt engineering techniques for precise AI communicationsImplementing Retrieval-Augmented Generation (RAG) for contextually relevant AI responsesBuilding and organizing document collections for efficient AI analysisConfiguring h2oGPTe settings for optimal performance in various scenariosUtilizing API access to integrate AI capabilities into applicationsAn Overview of H2O Agents for specialized assistanceThis course is designed for business professionals looking to improve decision-making with AI, developers interested in AI implementation, and individuals curious about practical Generative AI applications.By completing this course, you will gain the practical knowledge and expertise needed to effectively use h2oGPTe for document analysis, insight generation, and workflow enhancement.Upon understanding these topics, it will establish a foundation for H2O Generative AI certification, ultimately opening new avenues for innovation in your field. Overview Section 1: Introduction to Generative AI Lecture 1 Unlocking the Power of Generative AI Lecture 2 Overview - Generative AI Fundamentals Lecture 3 Recapping the Three Paradigms of AI Section 2: Essential Concepts for Effective AI Usage Lecture 4 The Importance of Prompt Engineering Lecture 5 Simplifying RAG Concepts Lecture 6 Recapping the Essentials Section 3: Exploring h2oGPTe: Capabilities & Use Cases Lecture 7 Leverage h2oGPTe for Actionable Insights Lecture 8 Discover What's Next with h2oGPTe Lecture 9 Use Generative AI on Your Documents Section 4: Hands-on with Enterprise h2oGPTe Lecture 10 Get Started with h2oGPTe for Free Lecture 11 Start with Simple AI Interactions Lecture 12 Creating Document Collections Lecture 13 Configuring Chats in h2oGPTe Lecture 14 Using h2oGPTe for Context-Aware Responses Section 5: Advanced Customization & API Access Lecture 15 Creating an API Key in h2oGPTe Lecture 16 Understanding System Prompts and User Inputs Section 6: Introduction to H2O.ai Agents Lecture 17 A Quick Overview of H2O.ai Agents Section 7: Final Recap & Next Steps Lecture 18 Final Recap: Mastering GenAI with h2oGPTe Section 8: Course Completion Quiz Business professionals looking to leverage AI for insights and automation,AI enthusiasts curious about real-world applications of h2oGPTe,Developers interested in integrating Generative AI into applications Homepage: https://www.udemy.com/course/h2o-generative-ai-starter-track/ Rapidgator https://rg.to/file/c2323668192697265205b27a17f22be0/bjmsz.H2O.Generative.Ai.Starter.Track.rar.html Fikper Free Download https://fikper.com/ycMaxkfIcR/bjmsz.H2O.Generative.Ai.Starter.Track.rar.html No Password - Links are Interchangeable

Free Download Leverage Generative AI to Streamline Processes and Increase Efficiency as a Manager Released: 03/2025 Duration: 48m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 141 MB Level: General | Genre: eLearning | Language: English In this course, Serena Huang-a data analytics executive and international keynote speaker-explores how to leverage GenAI tools to streamline and enhance your professional tasks. Learn about the 3C Framework, which helps you effectively use GenAI tools for various applications regardless of the specific tool. Discover how to automate routine email and communication tasks, translate messages, and generate impactful content. Delve into collaborative brainstorming sessions, project planning, and creating inclusive team-building agendas. Use GenAI to extract insights from data, analyze trends, and create compelling narratives that drive impactful business decisions. Understand how to conduct thorough competitor analyses, define strategic focuses, create milestones, and track KPIs for successful strategic initiatives. By the end of the course, you will have the skills to optimize a variety of professional functions and achieve greater efficiency, collaborative success, and strategic advancement. Homepage: https://www.linkedin.com/learning/leverage-generative-ai-to-streamline-processes-and-increase-efficiency-as-a-manager TakeFile https://takefile.link/6fzjn0zbrjgj/wfjei.Linkedin..Leverage.Generative.AI.to.Streamline.Processes.and.Increase.Efficiency.as.a.Manager.rar.html Rapidgator https://rg.to/file/57c35bfe8574e2582b5c52e63ec7984d/wfjei.Linkedin..Leverage.Generative.AI.to.Streamline.Processes.and.Increase.Efficiency.as.a.Manager.rar.html Fikper Free Download https://fikper.com/T4leqdnD57/wfjei.Linkedin..Leverage.Generative.AI.to.Streamline.Processes.and.Increase.Efficiency.as.a.Manager.rar.html No Password - Links are Interchangeable

Free Download Building Generative AI Projects with LLM, Langchain, GAN Published: 3/2025 Created by: Christ Raharja MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 22 Lectures ( 4h 34m ) | Size: 1.8 GB Learn how to build generative AI apps using large language models, langchain, and generative adversarial networks What you'll learn Learn the basic fundamentals of large language model and generative adversarial network, such as getting to know their use cases and understanding how they work Learn how to build legal document analyzer using LLM Learn how to analyze Excel data using LLM Learn how to build AI short story generator using LLM Learn how to build AI code generator using LLM Learn how to build customer support chatbot using LLM Learn how to build report summarizer using LLM Learn how to build AI travel planner using Langchain Learn how to build AI math solver using Langchain Learn how to build AI random face generator using ProGAN Learn how to build random digital art generator using Deep Convolutional GAN Learn how to build generator and discriminator functions Learn how to train and fine tune GAN model Learn how to create user interface using Streamlit and deploy app to Hugging Face Space Learn how to build LLM based apps using Dify AI and Relevance AI Learn how to find AI models in Hugging Face and download dataset from Kaggle Requirements No previous experience in LLM is required Basic knowledge in Python Description Welcome to Building AI Projects with LLM, Langchain, GAN course. This is a comprehensive project based course where you will learn how to develop advanced AI applications using Large Language Models, integrate workflow using Langchain, and generate images using Generative Adversarial Networks. This course is a perfect combination between Python and artificial intelligence, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in generative AI integration. In the introduction session, you will learn the basic fundamentals of large language models and generative adversarial networks, such as getting to know their use cases and understand how they work. Then, in the next section, you will find and download datasets from Kaggle, it is a platform that offers a diverse collection of datasets. Afterward, you will also explore Hugging Face, it is a place where you can access a wide range of ready to use pre-trained models for various AI applications. Once everything is ready, we will start building the AI projects. In the first section, we are going to build a legal document analyzer, where users can upload a PDF file, and AI will extract key information, summarize complex legal texts, and highlight important clauses for quick review. Next, we will develop an Excel data analyzer, enabling users to upload spreadsheets and leverage AI to identify trends, generate insights, and automate data analysis processes. Then after that, we will create an AI short story generator, where users can generate creative and engaging narratives based on simple prompts, making it a useful tool for writers and content creators. Following that, we will build an AI code generator, where users can input natural language Descriptions, and AI will generate structured, functional code snippets, streamlining the coding process. In the next section, we will develop a Q&A customer support chatbot, capable of answering common inquiries based on a given knowledge base, providing automated customer service responses. In addition, we will also create an AI-powered summarizer, designed to condense lengthy articles, research papers, or reports into concise summaries, helping users quickly understand key points. Moving on to LangChain, we will build a travel planner that takes user preferences and generates personalized itineraries, making trip planning easier and more efficient. Then, we will also create a math problem solver that interprets and solves mathematical equations step by step, helping students and professionals understand problem-solving techniques. In the following section, we will create GAN projects, for the first project, we will develop a random face generator, which can create realistic human faces from scratch, demonstrating the power of generative AI in producing lifelike imagery. In the second project, we will build a deep convolutional GAN from scratch by implementing the generator and discriminator functions, defining a loss function, and training the model using an adversarial learning approach to generate realistic images. Once we have built the apps we will conduct testing to make sure the app has been fully functioning and we will also deploy the app. Lastly, at the end of the course, we will build an LLM based app using no code tools like Dify AI and Relevance AI. By using these tools, you will be able to speed up the development process.First of all, before getting into the course, we need to ask ourselves this question, why should we build apps using a large language model? Well, here is my answer, LLMs can be used for analyzing context, automating complex text-based tasks, and generating human-like responses. These technologies not only streamline workflows and accelerate information retrieval but also improve accuracy in text generation and data processing.Whether it's content creation, document analysis, or chat-based interactions, LLMs make AI driven solutions more efficient and accessible.Below are things that you can expect to learn from this course:Learn the basic fundamentals of large language model and generative adversarial network, such as getting to know their use cases and understanding how they workLearn how to find AI models in Hugging Face and download dataset from KaggleLearn how to build legal document analyzer using LLMLearn how to analyze Excel data using LLMLearn how to build AI short story generator using LLMLearn how to build AI code generator using LLMLearn how to build customer support chatbot using LLMLearn how to build report summarizer using LLMLearn how to build AI travel planner using LangchainLearn how to build AI math solver using LangchainLearn how to build AI random face generator using ProGANLearn how to build random digital art generator using Deep Convolutional GANLearn how to build generator and discriminator functionsLearn how to train and fine tune GAN modelLearn how to create user interface using Streamlit and deploy app to Hugging Face SpaceLearn how to build LLM based apps using Dify AI and Relevance AI Who this course is for AI Engineers who are interested in building generative AI apps using LLMs and Langchain Data scientists who are interested in performing data augmentation using GANs Homepage: ?https://www.udemy.com/course/building-generative-ai-projects-with-llm-langchain-gan/ Rapidgator https://rg.to/file/4ca3f1324f27079c83d29e9b9cf28c8f/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part1.rar.html https://rg.to/file/e6742a760f3520a851c745627f0733d0/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part2.rar.html Fikper Free Download https://fikper.com/Z3M8XwCPxv/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part1.rar.html https://fikper.com/tZIF4DaKWz/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part2.rar.html No Password - Links are Interchangeable

Free Download Generative Ai Governance - Build A Responsible Ai Coe Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 711.01 MB | Duration: 1h 53m Learn AI governance, ethics, compliance, and how to create a Generative AI Center of Excellence (CoE) for responsible AI What you'll learn Establish the Core Structure of a Generative AI CoE Apply AI Governance Frameworks to Ensure Ethical and Compliant AI Use Identify and Address the Key Roles and Responsibilities within a CoE Develop and Track Key Performance Indicators (KPIs) for AI Projects Design Cross-Functional Collaboration Strategies for CoE Success Adapt and Scale the CoE in Response to Future AI Trends Requirements Basic Understanding of Artificial Intelligence (AI) Experience in Technology or Business Management Interest in AI Governance and Ethics No Special Tools or Equipment Required Description Artificial intelligence (AI) is transforming industries, and organizations need a structured, scalable, and responsible framework to maximize its potential. A Generative AI Center of Excellence (CoE) enables businesses to implement AI strategies, ensure governance, optimize AI models, and drive innovation at scale.This comprehensive course covers everything from the foundational elements of a Generative AI CoE to advanced strategies for governance, performance measurement, and scaling. You'll learn how to define the mission and objectives of a CoE, recruit and organize talent, and collaborate across departments to build a robust framework that drives measurable results.Through real-world case studies from industry leaders like IBM, AWS, and Capgemini, we'll explore practical applications, frameworks, and best practices that ensure AI initiatives deliver maximum impact. We'll also discuss essential topics such as AI governance, data privacy compliance, and future trends in generative AI to help you stay at the forefront of this dynamic field.What You'll Learn:Design and Implement a Generative AI Center of Excellence - Develop a mission-driven CoE structure that centralizes resources, promotes collaboration, and accelerates AI adoption.Apply AI Governance Frameworks for Responsible AI - Establish ethical standards and compliance practices, ensuring AI initiatives align with regulatory Requirements and organizational values.Define Key Roles and Build Cross-functional Teams - Identify essential roles within the CoE, including data scientists, AI ethics officers, and compliance managers, and foster effective cross-departmental collaboration.Develop and Track KPIs to Measure Success - Set performance metrics and monitor KPIs that showcase the CoE's impact and effectiveness in achieving business goals.Overcome Common Challenges in Scaling AI Initiatives - Address challenges like resource constraints, data privacy, and model bias with proven strategies and solutions.Stay Ahead with Future AI Trends - Understand emerging trends such as multi-modal AI and sustainable AI practices to future-proof your CoE.Who Should Take This Course?This course is ideal for professionals and decision-makers across various roles:Executives and Business Leaders who want to strategically leverage AI to drive business growth.IT and Data Science Professionals interested in building structured AI frameworks within their organizations.AI Governance and Compliance Officers responsible for ethical and regulatory adherence in AI projects.Project and Product Managers overseeing AI initiatives, aiming to deliver impactful outcomes.Consultants and Advisors in AI or digital transformation, looking to guide clients on AI adoption.Aspiring AI Strategists and Enthusiasts eager to gain a foundational understanding of CoE management.Why Take This Course?With a clear focus on practical frameworks, ethical practices, and measurable results, this course empowers you to lead AI initiatives that align with organizational goals while maintaining high standards of accountability and transparency. Whether you're looking to build a CoE from scratch or refine an existing AI strategy, this course will provide the tools, insights, and strategies to make your AI initiatives successful, scalable, and responsible.Enroll Now & Start Building Your Generative AI Center of Excellence!Take the first step toward leading AI-driven innovation in your organization. Join us today and gain the expertise needed to build, manage, and scale an AI Center of Excellence (CoE) for sustainable business success. 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Free Download Udemy - How To Deepseek Ai, Runway Ml And Generative Ai Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.34 GB | Duration: 2h 13m The New AI in Town DeepSeek AI with the Power of Runway ML and More AI Plugins and Tools What you'll learn Introduction to AI Fundamentals - Gain an understanding of artificial intelligence principles, key terms, and how AI models function. DeepSeek AI Advanced Techniques - Learn advanced methods for optimizing machine learning models, data analysis, and applying them in creative fields. Runway ML Practical Applications - Explore the versatile use cases of Runway ML in video editing, graphic design, and creative coding. Generative AI for Creative Projects - Master the art of AI-driven content creation in text, visuals, and multimedia. Real-World Case Studies - Learn through hands-on case studies of successful AI-driven creative projects. Requirements No prior skills are needed just your attention is all I need. Description Welcome to the ultimate course that will transform you into an expert in DeepSeek AI, Runway ML, and Generative AI! If you're eager to explore the future of artificial intelligence and its creative potential, this course is perfect for you. With the growing demand for AI-driven solutions in art, design, content creation, and more, learning how to harness the power of these cutting-edge tools will give you a competitive edge in today's fast-paced tech landscape.In this comprehensive course, we will dive deep into three of the most powerful AI platforms shaping the creative world: DeepSeek AI, Runway ML, and Generative AI. These tools are revolutionizing industries by enabling creators, designers, and developers to unlock limitless possibilities in their projects, whether they are crafting hyper-realistic art, developing AI models, or building innovative applications.What you will learn:DeepSeek AI:DeepSeek AI is a powerful tool for transforming your creative ideas into reality. We'll begin with an introduction to its unique capabilities and learn how to build, train, and optimize AI models for personalized content creation. You'll explore how to use DeepSeek AI for data analysis, model development, and advanced machine learning applications. By the end of this section, you'll have the knowledge to create AI-driven solutions that cater specifically to your creative needs.Runway ML:Runway ML is another revolutionary platform that combines machine learning with creative expression. In this module, you'll learn how to use Runway ML's intuitive interface to bring your creative projects to life. You will discover how to leverage various pre-trained machine learning models for video editing, image manipulation, and even real-time interactive media. We will cover hands-on techniques for integrating AI with your design workflows, and you'll also understand how to deploy these models seamlessly in your projects.Generative AI:Generative AI is the technology that powers the future of creativity. In this part of the course, we will explore the fascinating world of AI that can generate everything from images and music to text and code. Through practical examples and step-by-step tutorials, you'll learn how to use Generative AI to create unique and compelling content for your portfolio, your business, or your personal projects. Whether you're interested in writing AI-generated stories, producing artwork, or creating music, this section will help you master the art of AI creativity.Why Take This Course?Hands-on Learning: This course is packed with practical exercises, real-world applications, and clear examples to help you understand the core concepts of DeepSeek AI, Runway ML, and Generative AI.Industry-Relevant Skills: By mastering these advanced AI tools, you'll gain the skills that are in high demand across various industries, including media, entertainment, advertising, and product design. The ability to work with AI-driven platforms will set you apart as a skilled creator and innovator in the creative space.Create Your Own AI Projects: This course empowers you to not only learn how these technologies work but also gives you the tools to create your own projects. Whether you're interested in building AI applications, creating AI-generated content, or working on a specific creative project, you'll gain the confidence and knowledge to bring your ideas to life.Future-Proof Your Career: As Generative AI and machine learning continue to evolve, the need for skilled professionals who can harness the potential of AI will only grow. This course will future-proof your career by equipping you with the skills to stay ahead of the curve.Expert Instruction: You'll be guided by industry experts who will help you master the key tools and techniques in DeepSeek AI, Runway ML, and Generative AI. The course is designed to accommodate all skill levels, whether you're a complete beginner or an experienced AI enthusiast.Key Features of the Course:Introduction to AI Fundamentals - Gain an understanding of artificial intelligence principles, key terms, and how AI models function.DeepSeek AI Advanced Techniques - Learn advanced methods for optimizing machine learning models, data analysis, and applying them in creative fields.Runway ML Practical Applications - Explore the versatile use cases of Runway ML in video editing, graphic design, and creative coding.Generative AI for Creative Projects - Master the art of AI-driven content creation in text, visuals, and multimedia.Real-World Case Studies - Learn through hands-on case studies of successful AI-driven creative projects.Interactive Assignments and Quizzes - Reinforce your learning with interactive quizzes and assignments designed to challenge and test your skills.Community Support - Join a vibrant online community of fellow learners and get direct access to expert feedback.Who Should Take This Course?Creative Professionals: Artists, designers, content creators, and video editors who want to leverage AI to enhance their creative work.Developers and Programmers: Those interested in integrating AI tools into their applications or developing custom AI models.Tech Enthusiasts: Anyone passionate about exploring the future of AI and its creative potential.Business Owners: Entrepreneurs looking to innovate and differentiate their products with AI-driven creative solutions.Course Requirements:No prior experience with AI is required! This course is designed to be accessible to beginners, Enroll Now and Unlock the Future of Creativity with AI!By enrolling in this course, you'll gain the knowledge, tools, and confidence to make AI work for you. Get ready to revolutionize your creative projects and take your skills to the next level with DeepSeek AI, Runway ML, and Generative AI! Don't miss out-enroll today and start mastering the future of creativity!See you in class!Manas Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 What AI Section 2: DeepSeek AI Lecture 3 DeepSeek Lecture 4 Deepseek 2 Lecture 5 DeepSeek 3 Lecture 6 DeepSeek 4 Section 3: Midjourney AI Lecture 7 What is Midjourney Lecture 8 How to midjourney in discord Lecture 9 How to make prompt in Midjourney Lecture 10 Midjourney info Lecture 11 How to Midjourney tile Lecture 12 How to video in Midjourney Lecture 13 How to logo in Midjourney Lecture 14 How to zoom out in Midjourney Lecture 15 How to blend in Midjourney Lecture 16 How to seed id in Midjourney Section 4: Midjourney V ChatGPT Lecture 17 Midjourney V ChatGPT 1 Lecture 18 Midjourney V ChatGPT 2 Lecture 19 Midjourney V ChatGPT 3 Section 5: Runway ML Lecture 20 Runway ML 1 Lecture 21 Runway ML 2 Lecture 22 Runway ML 3 Lecture 23 Runway ML 4 Lecture 24 Runway ML 5 Lecture 25 Runway ML 6 Creative Professionals: Artists, designers, content creators, and video editors who want to leverage AI to enhance their creative work.,Developers and Programmers: Those interested in integrating AI tools into their applications or developing custom AI models.,Tech Enthusiasts: Anyone passionate about exploring the future of AI and its creative potential.,Business Owners: Entrepreneurs looking to innovate and differentiate their products with AI-driven creative solutions. 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Free Download Udemy - Generative AI For Beginners by Roman Chermianin Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 739.80 MB | Duration: 0h 58m Learn the fundamentals of Generative AI, how it works, and its real-world applications! What you'll learn The basics of Artificial Intelligence and Generative AI How Generative AI creates text, images, and music Understanding different AI models, including GANs and Transformers How AI models are trained and how they improve over time Ethical concerns and limitations of Generative AI Practical tools to start using Generative AI today Requirements No prior experience with AI or programming is required! A computer or smartphone with internet access Curiosity and willingness to explore new technology Basic knowledge of using web applications (helpful but not necessary) Description Are you curious about Generative AI but don't know where to start? This beginner-friendly course provides a comprehensive introduction to Generative AI, covering fundamental concepts, real-world applications, and hands-on practice with AI tools. You will learn how Generative AI models work, explore their capabilities in text, image, and music generation, and gain practical experience with platforms like ChatGPT and DALL-E. Additionally, the course addresses ethical concerns and the future impact of AI on various industries.Generative AI is revolutionizing the way we create content, interact with technology, and automate tasks. From AI-generated art and music to automated text and deep learning models, this field is rapidly transforming multiple industries, including marketing, entertainment, education, and research. This course is designed to break down complex AI topics into simple, digestible lessons that anyone can understand. Whether you are a beginner, a content creator, or a professional looking to leverage AI for efficiency, this course will equip you with essential knowledge and tools.Throughout this course, you will explore key AI models such as GANs (Generative Adversarial Networks) and Transformers, understand how AI learns from data, and experiment with various AI-powered tools. By the end of the course, you will be able to generate text, images, and even music using AI, while also understanding the ethical considerations and limitations of these powerful technologies.With engaging visuals, professional narration, and easy-to-follow explanations, this course makes AI accessible to everyone. No prior knowledge of AI or programming is required-just a willingness to explore the future of technology. Join us today and take your first step into the world of Generative AI! Complete beginners curious about AI and its applications,Content creators who want to enhance their work with AI-generated media,Professionals looking to integrate AI tools into their workflow,Anyone interested in the future of AI-driven technology Homepage: https://www.udemy.com/course/generative-ai-for-beginners-y/ DOWNLOAD NOW: Udemy - Generative AI For Beginners by Roman Chermianin Rapidgator https://rg.to/file/77082ea4b805c5b7c9aaac345765e7c7/ctkjc.Udemy..Generative.AI.For.Beginners.by.Roman.Chermianin.rar.html Fikper Free Download https://fikper.com/wnzI9M5OMR/ctkjc.Udemy..Generative.AI.For.Beginners.by.Roman.Chermianin.rar.html No Password - Links are Interchangeable

Free Download Starting Data Analytics with Generative AI and Python, Video Edition Released 11/2024 By Artur Guja, Dr. Marlena Siwiak, and Dr. Marian Siwiak MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12h | Size: 2.22 GB Accelerate your mastery of data analytics with the power of ChatGPT. Whether you're a data novice or an experienced pro looking to do more work, faster, Starting Data Analytics with Generative AI and Python is here to help simplify and speed up your data analysis! Written by a pair of world-class data scientists and an experienced risk manager, the book concentrates on the practical analytics tasks you'll do every day. Inside Starting Data Analytics with Generative AI and Python you'll learn how to Write great prompts for ChatGPT Perform end-to-end descriptive analytics Set up an AI-friendly data analytics environment Evaluate the quality of your data Develop a strategic analysis plan Generate code to analyze non-text data Explore text data directly with ChatGPT Prepare reliable reports In Starting Data Analytics with Generative AI and Python you'll learn how to improve your coding efficiency, generate new analytical approaches, and fine-tune data pipelines-all assisted by AI tools like ChatGPT. For each step in the data process, you'll discover how ChatGPT can implement data techniques from simple plain-English prompts. Plus, you'll develop a vital intuition about the risks and errors that still come with these tools. About the Technology If you have basic knowledge of data analysis, this book will show you how to use ChatGPT to accelerate your essential data analytics work. This speed-up can be amazing: the authors report needing one third or even one quarter the time they needed before. About the Book You'll find reliable and practical advice that works on the job. Improve problem exploration, generate new analytical approaches, and fine-tune your data pipelines-all while developing an intuition about the risks and errors that still come with AI tools. In the end, you'll be able to do significantly more work, do it faster, and get better results, without breaking a sweat. Assuming only that you know the foundations, this friendly book guides you through the entire analysis process-from gathering and preparing raw data, data cleaning, generating code-based solutions, selecting statistical tools, and finally creating effective data presentations. With clearly-explained prompts to extract, interpret, and present data, it will raise your skills to a whole different level. What's Inside Write great prompts for ChatGPT Perform end-to-end descriptive analytics Set up an AI-friendly data analytics environment Evaluate the quality of your data Develop a strategic analysis plan Generate code to analyze non-text data Explore text data directly with ChatGPT Prepare reliable reports About the Reader About the Authors Authors Artur Guja, Dr. Marlena Siwiak, and Dr. Marian Siwiak are experienced data scientists with backgrounds in business, scientific research, and finance. The technical editor on this book was Mike Jensen. Rapidgator https://rg.to/file/99a34600c92cb250dcc2c822ca96010d/rnegn.Starting.Data.Analytics.with.Generative.AI.and.Python.Video.Edition.part1.rar.html https://rg.to/file/869b6cbde06a8852a9d55630dac76802/rnegn.Starting.Data.Analytics.with.Generative.AI.and.Python.Video.Edition.part2.rar.html https://rg.to/file/fa3a94005e30f4fc26491f8af2ba1d61/rnegn.Starting.Data.Analytics.with.Generative.AI.and.Python.Video.Edition.part3.rar.html Fikper Free Download https://fikper.com/zcB23zauG3/rnegn.Starting.Data.Analytics.with.Generative.AI.and.Python.Video.Edition.part1.rar.html https://fikper.com/TispKhcWZe/rnegn.Starting.Data.Analytics.with.Generative.AI.and.Python.Video.Edition.part2.rar.html https://fikper.com/iThSBkgMOC/rnegn.Starting.Data.Analytics.with.Generative.AI.and.Python.Video.Edition.part3.rar.html : No Password - Links are Interchangeable

Free Download Udemy - TikTok Marketing and Generative AI Art Video Published: 3/2025 Created by: Beloved Adejuyigbe MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 22 Lectures ( 3h 17m ) | Size: 1.9 GB Master TikTok Marketing and AI-Powered Video Creation - Grow Your Audience, Boost Engagement, and Monetize with Ease! What you'll learn How to set up, optimize, and grow a TikTok account for marketing success Proven strategies for TikTok monetization and revenue generation The fundamentals of influencer marketing and how to collaborate with TikTok influencers How to analyze influencer ads and run effective campaigns Methods for identifying fake influencers and negotiating profitable deals Techniques for generating inbound leads and running retainer campaigns on TikTok Step-by-step guide to creating high-quality TikTok content using Canva and AI tools How to convert text into human-like AI voices for engaging TikTok videos The process of generating AI-powered art for visually appealing content How to animate AI-generated art and enhance video quality Video editing techniques, including adding music, captions, and adjusting speed Best practices for running TikTok ads and maximizing reach Requirements No prior experience with TikTok marketing or AI-generated content is required Interest in content creation, digital marketing, or AI-powered video editing Basic familiarity with social media platforms is helpful but not necessary Description Are you ready to harness the power of TikTok marketing and AI-generated video content to grow your audience and maximize engagement? This comprehensive course will equip you with the skills to create compelling TikTok content, leverage influencer marketing, and integrate AI-generated art and animations into your videos.What you will learn:How to set up and optimize a TikTok account for successStrategies for TikTok monetization and revenue generationFinding and collaborating with the right influencersUnderstanding influencer marketing and running ad campaignsIdentifying fake influencers and negotiating profitable dealsCreating high-quality TikTok content with Canva and AI toolsConverting text into human-like AI voices for engaging videosGenerating AI-powered art and animations to enhance TikTok videosEditing TikTok videos with music, captions, and special effectsRunning TikTok ads and inbound lead generation strategiesWho this course is for :Entrepreneurs, marketers, and content creators looking to grow on TikTokSocial media managers and business owners wanting to leverage TikTok for brand awarenessBeginners and advanced users who want to integrate AI-generated content into their videosAnyone interested in learning TikTok marketing, influencer collaboration, and AI video creationBy the end of this course, you will have the knowledge and practical skills to build a successful TikTok presence, create AI-enhanced videos, and drive real engagement. Whether you want to grow a personal brand or scale a business, this course will give you the tools to succeed. Who this course is for Entrepreneurs & Business Owners - Leverage TikTok to promote products, services, and brands. Content Creators & Influencers - Grow your audience and enhance engagement with AI-powered videos. Digital Marketers & Social Media Managers - Master TikTok marketing strategies and influencer collaborations. Beginners & Aspiring Creators - Learn how to create viral TikTok content with AI-generated art and animations. Artists & Designers - Explore AI art generation and animation techniques for TikTok videos. Freelancers & Side Hustlers - Use TikTok marketing skills to offer services or build an online presence. Homepage: https://www.udemy.com/course/tiktok-marketing-and-generative-ai-art-video/ Rapidgator https://rg.to/file/62a8fcbdd825e37267ef60731d8fc927/abjof.TikTok.Marketing.and.Generative.AI.Art.Video.part1.rar.html https://rg.to/file/f447bd92551ab864a41de5bf1830346b/abjof.TikTok.Marketing.and.Generative.AI.Art.Video.part2.rar.html Fikper Free Download https://fikper.com/4KzPxFfHt1/abjof.TikTok.Marketing.and.Generative.AI.Art.Video.part2.rar.html https://fikper.com/qnV4YlIBuW/abjof.TikTok.Marketing.and.Generative.AI.Art.Video.part1.rar.html : - No Password - Links are Interchangeable

Free Download Udemy - Generative AI - Probabilistic Perspective Published: 3/2025 Created by: Shashank Jain MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 41m ) | Size: 937 MB A journey into the probabilistic aspects of Gen AI What you'll learn Basics of Generative AI Probability for Generative AI Gen AI Architectures like VAE, Energy Based Models, Score based models, Normalizing flows etc MLE Requirements Basics of AI Description This course, Mastering Generative AI: A Probability Theory Perspective, is a deep theoretical exploration of Generative AI, designed to provide learners with a solid mathematical foundation. The course begins with the fundamentals of probability theory, ensuring that parti[beeep]nts develop an intuitive understanding of key probabilistic concepts essential for generative modeling.Building on this foundation, the course systematically introduces various Generative AI architectures, explaining how they function from first principles. Parti[beeep]nts will explore Variational Autoencoders (VAEs), Score-Based Models, Energy-Based Models, and Normalizing Flows, all through a probabilistic lens. The course also covers Autoregressive Models such as Transformers, which power modern Large Language Models (LLMs), and Generative Adversarial Networks (GANs), which revolutionized AI-generated media.Unlike many hands-on coding courses, this program emphasizes theoretical rigor, enabling learners to grasp the mathematical underpinnings of these architectures rather than just their implementation. By the end of the course, students will have a deep conceptual understanding of how different generative models work behind the scenes, equipping them with the knowledge to critically analyze and develop their own AI research. Additionally, the course connects these models to their real-world applications, helping learners appreciate their significance in modern AI advancements and future innovations.Overall this course is a novel introduction to Gen AI from the probability point of view. Who this course is for Data Scientists and Gen AI developers and architects Homepage: https://www.udemy.com/course/generative-ai-probabilistic-perspective/ Rapidgator https://rg.to/file/5576acdeaedec0cd79137e8ff80da070/qaffe.Generative.AI..Probabilistic.Perspective.rar.html Fikper Free Download https://fikper.com/lhGdxIEwvt/qaffe.Generative.AI..Probabilistic.Perspective.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Generative Ai For Leaders In Pharma & Healthcare Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.42 GB | Duration: 8h 30m Revolutionizing Healthcare & Pharma: Unlock the Power of Generative AI What you'll learn Discover AI's impact on pharma R&D and clinical trials Explore personalizing therapies via data-driven insights Enhance diagnostics with advanced AI image analysis Boost patient engagement through AI-powered interactions Optimize supply chains and cut costs with AI forecasts Master ethical and regulatory frameworks in Generative AI Lead innovation and drive strategic AI-focused growth Requirements No Requirements or prerequisistes for taking this course Description This comprehensive course explores the vast potential of Generative AI in transforming the Pharma and Healthcare sectors. Through a mix of in-depth lectures, hands-on case studies, and dynamic group discussions, parti[beeep]nts will delve into how AI is revolutionizing critical areas, from drug discovery and clinical trials to patient engagement and beyond. By examining real-world success stories, you'll gain practical insights into leveraging Generative AI to reduce operational costs, improve clinical efficiency, and drive data-informed decision-making.Beyond the technical realm, the curriculum shines a spotlight on ethical frameworks and regulatory considerations, ensuring that parti[beeep]nts understand the broader implications of AI-driven solutions. You'll learn best practices for safeguarding patient data, maintaining transparency, and navigating an evolving regulatory landscape. This holistic perspective empowers you to adopt AI responsibly and effectively within existing organizational structures.Whether you're a pharmaceutical researcher aiming to streamline molecule design, a healthcare professional focused on personalized medicine, or a leader seeking to innovate in a rapidly shifting environment, this course offers valuable knowledge and actionable strategies. With Generative AI poised to reshape the future of healthcare, there's never been a better time to acquire the skills and vision needed to excel in this cutting-edge field. Join us to discover how AI can create unprecedented opportunities for improved patient outcomes and a more agile, resilient industry. Overview Section 1: Introduction Lecture 1 Welcome to Generative AI for Leaders in Pharma & Healthcare Section 2: Unlocking Potential - Generative AI and the Revolution in Pharma & Healthcare Lecture 2 The Future of Healthcare is Already Here Lecture 3 Beyond the Hype: Understanding the True Power of Generative AI Lecture 4 The Current Landscape: How Pharma & Healthcare Are Already Using Generative AI Lecture 5 Unprecedented Opportunities: Unlocking the Transformative Potential Lecture 6 Inspirational Case Study: A Company Redefining the Future with Generative AI Section 3: Accelerating Drug Discovery - Generative AI as a Catalyst Lecture 7 The Challenge of Drug Development: A Long, Costly, and Uncertain Process Lecture 8 Generative AI to the Rescue: Designing Molecules and Optimizing Drug Candidates Lecture 9 Predicting Success: Generative Models for Evaluating Drug Efficacy, Toxicity... Lecture 10 From Molecule to Market: Accelerating Clinical Trials and Regulatory Approval Lecture 11 Case Study: Generative AI in the Search for an Alzheimer's Cure Section 4: Personalized Medicine - Shaping the Future of Tailored Treatments Lecture 12 The End of the "One-Size-Fits-All" Era: Towards Truly Personalized Healthcare Lecture 13 Genomics and Beyond: Generative AI for Analyzing Complex Data Lecture 14 Designing Individualized Therapies: AI-Driven Treatments Tailored to Genetics... Lecture 15 Precision Oncology: A Field Where Generative AI Is Making a Real Impact Lecture 16 The Patient at the Center: Improving Treatment Adherence Section 5: Advanced Diagnostics & Prognostics - Seeing the Future Lecture 17 The Power of Imaging: Generative AI for Analyzing Medical Images Lecture 18 Early Detection: Identifying Diseases at Their Earliest Stages Lecture 19 Beyond Diagnosis: Predicting Patient Evolution with AI Lecture 20 Radiology, Pathology, and Beyond: Applications of Generative AI Lecture 21 Case Study: The Generative AI System That's Saving Lives Section 6: Revolutionizing the Patient Experience - More Human Care with AI Assistance Lecture 22 More Than Robots: Humanizing Interaction with Generative AI Lecture 23 Virtual Assistants and Smart Chatbots: 24/7 Personalized and Accessible Care Lecture 24 Remote Monitoring and Telemedicine: Expanding Access to Care and Follow-Up Lecture 25 Empowering the Patient: Self-Management Tools and Personalized Education with AI Lecture 26 Creating an Exceptional Experience: Building Stronger and Lasting Relationships Section 7: Optimizing the Value Chain - AI-Driven Efficiency & Agility Lecture 27 Intelligent Manufacturing - AI is Transforming Pharmaceutical Production Lecture 28 Future-Proofing the Supply Chain: AI-Driven Predictions, Inventory Management... Lecture 29 Revolutionizing Drug Development: AI-Driven R&D Lecture 30 AI in Pharmaceutical Marketing and Sales Lecture 31 Navigating the Future: Ethics, Regulations, and Leadership in the Age of AI Section 8: Precision Marketing & Sales - Reaching the Right Audience & Perfect Message Lecture 32 The End of Mass Marketing: Shifting Towards Personalized Communication Lecture 33 Understanding the Customer Like Never Before with AI Lecture 34 Creating Irresistible Content: Generating Personalized and Engaging Marketing Lecture 35 Optimizing Sales Strategie with Generative AI Lecture 36 Measuring Impact & Continuous Improvement: AI for Campaign Performance This course is designed for anyone in the Pharma and Healthcare fields-researchers, clinicians, executives, or operational staff-who wants to stay on the cutting edge of AI innovations and drive meaningful change in their organizations. It also appeals to those outside the industry who are passionate about the potential of Generative AI to revolutionize patient care and overall healthcare delivery. By showcasing real-world applications, offering interactive learning experiences, and highlighting ethical and regulatory considerations, the program equips parti[beeep]nts with the practical skills and forward-thinking mindset needed to succeed in an AI-driven future. 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Free Download Mastering Generative Ai - Foundations To Advanced Application Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 10.54 GB | Duration: 18h 3m Unlock the Power of Generative AI: Build, Deploy, and Innovate with Cutting-Edge AI Technologies What you'll learn Master Generative AI Basics: Build proficiency with frameworks like LangChain and Hugging Face, developing a strong foundation in core AI principles and tools. Create Multimodal Apps: Learn to build AI that processes text, audio, and images, including chatbots and document-based interactions using PDFs, Excel, and SQL. Apply Advanced Image/Text Manipulation: Use AI for image upscaling, recoloring, generative filling, and RAG to enhance and transform multimedia content. Develop Multi-Agent Systems: Design AI systems with multi-agent collaboration, setting LLM guardrails, API management, and optimized agent configurations. Requirements Basic Python Knowledge: Understanding Python fundamentals is essential for working with AI scripts. Familiarity with AI/ML Concepts: A basic understanding of large language models, data preprocessing will help in comprehending Generative AI techniques. Description The Generative AI Mastery: This comprehensive course is crafted for AI enthusiasts, data scientists, and professionals looking to deepen their expertise in Generative AI. Covering a wide range of AI capabilities, it guides learners through building, refining, and evaluating AI systems capable of generating, analyzing, and modifying text, images, and audio. Using cutting-edge frameworks such as LangChain, Llama Index, and Hugging Face, students will gain hands-on experience with core Generative AI techniques, including Retrieval-Augmented Generation (RAG), image classification, vector embeddings, and model fine-tuning.Throughout the course, you'll explore how to set practical guardrails, ensure model alignment, and manage multiple large language models (LLMs) within a single application. Each module combines theory with hands-on projects, helping students put their skills to work on real-world tasks. Projects include document analysis, interacting with and analyzing SQL databases via natural language, and voice cloning. These projects, along with advanced multimodal exercises, will solidify your understanding of AI's practical applications. By course completion, you'll be equipped with the skills to design, deploy, and innovate in the field of Generative AI, allowing you to harness its full potential across diverse industries and applications, and empowering you to develop impactful AI-driven solutions in today's fast-evolving tech landscape. Overview Section 1: Introduction to Generative AI: Building Applications with Llama Index Lecture 1 Introduction to Generative AI. Lecture 2 How to build AI application with frameworks. Introduction to Llama Index. Lecture 3 How to use Generative AI to chat with PDF documents. Section 2: Evaluating Gen AI: Tokenization, Confusion Matrix & Document Summarization Lecture 4 How to evaluate Generative AI output using confusion matrix. Lecture 5 Introduction to Tokenization in Generative AI. Lecture 6 How to use Generative AI to summarize documents. Section 3: Multimodal AI: Building Audio Apps, Function Calling & Streamlit Applications Lecture 7 Introduction to Multimodal AI. How to build Audio based GenerativeAI application Lecture 8 How to use Function Calling in Generative AI applications. Lecture 9 How to use Streamlit for building Generative AI applications. Section 4: Guardrails and Multi-Functionality in Conversational AI Applications Lecture 10 How to set Guardrails for LLMs while building Generative AI applications. Lecture 11 How to build conversative Generative AI applications. Lecture 12 How to create multiple LLM functionalities inside same Generative AI application Section 5: Integrating LLMs, Hugging Face, and Image Classification in Generative AI Lecture 13 How to configure multiple LLM models inside same Generative AI application. Lecture 14 How to use Huggingface Platform in building Generative AI application. Lecture 15 How to use Image Classification techniques in Generative AI application. Section 6: FastAPI, API Management, and RAG for Generative AI Applications Lecture 16 How to use FastHtml for building Generative AI applications. Lecture 17 How to manage api calls in Generative AI applications using limitation, deletion Lecture 18 How to use Retrieval Augumented Generation for grounding LLMs. Section 7: Optimizing Generative AI with Vector Embeddings, RAG, and Databases Lecture 19 How to use Vector Embeddings to build effective Generative AI application. Lecture 20 How to improve RAG applications using techniques like Reranking, Query Expansion Lecture 21 How to use vector databases in building Generative AI applications. Section 8: Building Image-Based Generative AI with LangChain and Vision Techniques Lecture 22 How to use Langchain framework to build effective Generative AI application. Lecture 23 Intro to Computer Vision & Image-Based Generative AI. Lecture 24 How to use Generative AI to upscale image quality of low resolution images. Section 9: Generative AI: Image Expansion, Object Replacement, and Image-to-Text Lecture 25 How to use Generative AI to extend size of images to bigger sizes. Lecture 26 How to use Generative AI to replace an object from a image. Lecture 27 How to use Image-to-Text in building effective Generative AI Applications. Section 10: Generative AI: Remove, Recolor, and Repair Images with Natural Language Lecture 28 How to use Generative AI to remove unwanted portions of images. Lecture 29 How to use Generative AI to change the color of object inside a image. Lecture 30 How to use Generative AI to repair portions of image that has been torn. Section 11: Generative AI: Chain of Thought, Excel Chat, and SQL Data Analysis Lecture 31 Implementing Chain of Thought in Generative AI for LLM Optimization. Lecture 32 How to use Generative AI to chat with Excel documents. Lecture 33 How to use Generative AI to run SQL commands and perform data analysis. Section 12: AI Agents: Overcoming LLM Limits and Deploying Multi-Agent Systems Lecture 34 How to overcome knowledge cutoff limitations of LLMs by deploying search agents. Lecture 35 Introduction to AI agents. 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Free Download Udemy - AI Art Generation and Animation with Generative AI Published: 3/2025 Created by: Beloved Adejuyigbe MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 38m ) | Size: 1.23 GB Create Stunning AI-Generated Art & Animations - Learn AI Tools, Animation Techniques, and Voice Integration What you'll learn How to generate AI-powered art using different tools and techniques How to create high-quality, hyper-realistic AI-generated images How to animate AI-generated artwork for videos and presentations How to improve animations using AI-powered tools How to edit AI-generated videos by adding music, captions, and speed adjustments How to generate human-like AI voices and integrate them into videos How to create AI-generated voiceovers, including accent AI voices How to use AI for video content creation and advertisements How to apply AI tools for professional and creative projects How to produce high-quality digital content with minimal effort using AI Requirements No prior experience in AI, design, or animation is required Willingness to explore and experiment with AI tools for creative projects Basic familiarity with using online tools and applications is helpful but not mandatory Description Artificial Intelligence is revolutionizing the world of digital art, making it possible to generate stunning visuals and animations with just a few clicks. This course is designed to help you master the process of AI-powered art creation and animation, whether you are a digital artist, content creator, or entrepreneur looking to leverage AI for creative projects.In this course, you will explore a range of AI tools that can generate artwork from simple text prompts, transform static images into animations, and even add realistic voiceovers to your videos. You will learn how to create AI-generated images, animate them seamlessly, and refine your projects using editing techniques, captions, and music.The course covers essential topics such as:Understanding AI-driven content generationCreating AI-generated art using popular toolsEnhancing and refining AI-generated visualsConverting text into realistic human-like voiceoversAnimating AI art to bring your creations to lifeEditing and improving AI-generated videos with captions, music, and voice integrationGenerating hyper-realistic images using AIBy the end of this course, you will have the skills to create professional-quality AI-generated art and animations, suitable for social media content, advertisements, and creative projects. No prior experience is required-just a willingness to explore the possibilities of AI in digital art.Join now and start transforming your creative ideas into reality with AI. Who this course is for Artists and Designers - Those looking to integrate AI into their creative process to generate unique and high-quality artwork. Content Creators and Video Editors - Individuals who want to enhance their videos with AI-generated animations, voices, and effects. Entrepreneurs and Marketers - Business owners and marketers who want to create engaging AI-powered advertisements and social media content. Filmmakers and Animators - Professionals seeking AI-assisted tools to streamline animation and storytelling. AI Enthusiasts and Tech Learners - Anyone curious about AI-driven creativity and its applications in digital content creation. Beginners with No Prior Experience - Those who are new to AI art and animation but are eager to learn how to use AI tools effectively. Homepage: https://www.udemy.com/course/ai-art-generation-and-animation-with-generative-ai/ DOWNLOAD NOW: Udemy - AI Art Generation and Animation with Generative AI Rapidgator https://rg.to/file/9edaf9e131543f913c7fd9f7432138bd/oyfto.AI.Art.Generation.and.Animation.with.Generative.AI.part1.rar.html https://rg.to/file/27a31a99b3439c0e304a6ad9d6712ead/oyfto.AI.Art.Generation.and.Animation.with.Generative.AI.part2.rar.html Fikper Free Download https://fikper.com/QcpuLLTsk2/oyfto.AI.Art.Generation.and.Animation.with.Generative.AI.part1.rar.html https://fikper.com/ZKi2uBrPmW/oyfto.AI.Art.Generation.and.Animation.with.Generative.AI.part2.rar.html : No Password - Links are Interchangeable

Free Download Linkedin - Generative AI for Innovation (2025) Released: 03/2025 Duration: 1h 36m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 480 MB Level: General | Genre: eLearning | Language: English While most people examine ways AI can help them reduce workloads and get things done faster, the real opportunity for the technology lies in how it can open up opportunities and prototype ideas. In this course, creativity expert Dave Birss examines prompts and techniques that help with all aspects of innovation. Learn to use AI for data mining and uncovering opportunities for innovation. Generate new ideas by drawing inspiration from cross-industry trends and exploring future possibilities. Evaluate your ideas by conducting risk assessments and feasibility analyses with AI tools. Learn how to bring your concepts to life through prototyping. By leveraging the power of AI, you can streamline your innovation processes and stay ahead in a competitive market. Whether you are looking to enhance your organization's creativity or develop groundbreaking solutions, this course will provide you with essential AI-driven techniques to excel. This course was Created by: Dave Birss. We are pleased to host this training in our library. Homepage: https://www.linkedin.com/learning/generative-ai-for-innovation DOWNLOAD NOW: Linkedin - Generative AI for Innovation (2025) Fileaxa https://fileaxa.com/qzoywecbu3rp/zzegy.Linkedin..Generative.AI.for.Innovation.2025.rar TakeFile https://takefile.link/rdhyiv4exnq0/zzegy.Linkedin..Generative.AI.for.Innovation.2025.rar.html Rapidgator https://rg.to/file/dc0e69e1d3ed06b7b08b8f4eb92f313a/zzegy.Linkedin..Generative.AI.for.Innovation.2025.rar.html Fikper Free Download https://fikper.com/vfcjvwmgB9/zzegy.Linkedin..Generative.AI.for.Innovation.2025.rar.html : No Password - Links are Interchangeable

Free Download CEO Playbook - Generative AI by Anton Voroniuk Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 648.16 MB | Duration: 1h 0m Master Generative AI: A CEO's Blueprint for Transforming Business What you'll learn Foundations of Generative AI and how it changes business Why CEOs must lead AI initiatives to drive transformation Data-driven decision-making to turn raw information into strategic insights How to use AI tools for market analysis, trend prediction, and more AI-powered product ideation, faster go-to-market strategies and more Scaling customer engagement through AI-driven personalization and support Workforce optimization with AI Requirements No prior experience with AI required Description Ready to future-proof your leadership? Generative AI drives bold innovation, sharpens day-to-day processes, and boosts customer satisfaction, all while freeing up precious resources. This course is designed to teach you how to use AI tools to make better decisions, speed up product development, and lead your teams confidently into the AI era.Whether you're new to AI or looking to refine existing approaches, this course offers clear lessons and practical examples that will change the way you lead and innovate in the digital age.What You'll Learn in This CourseFoundations of generative AI for modern business transformationCEO-driven AI Integration to guide teams and align AI with strategic goalsData-driven decision-making that turns raw information into insightsMarket Predictions powered by AI toolsProduct and service innovation to ideate and perform fasterCustomer engagement at scale through AI-driven personalization and supportWorkforce optimization using AI for scheduling, task automation and moreWhat's IncludedStep-by-step lessons on integrating AI into your lead generation Real-life examples and actionable insights to make your learning process efficient and effectiveHands-on tutorials with AI tools and ready-to-use promptsThis Course Is Perfect forCEOs, founders, and executives eager to use AI for strategic growthBusiness owners looking to streamline processes and boost marketing with AIAnyone interested in applying AI to enhance their productivity and creativityEnroll now and start learning how to transform your business, create optimized campaigns, and take your leadership to the next level.Do you need to be concerned?Not at all! This course comes with a 30-day money-back guarantee. There's absolutely no risk in trying it out!Unlock AI-driven success-enroll now and lead with confidence! CEOs and executives wanting to unlock AI's potential for rapid growth,Team leaders aiming to integrate AI strategies within their departments,Curious professionals looking to future-proof their skills in an AI-driven world. Homepage: https://www.udemy.com/course/ceo-playbook-generative-ai-/ DOWNLOAD NOW: CEO Playbook - Generative AI by Anton Voroniuk Rapidgator https://rg.to/file/16b2199c3cc9e3cadb9d6a418d1dce59/bnebj.CEO.Playbook.Generative.AI.by.Anton.Voroniuk.rar.html Fikper Free Download https://fikper.com/ovii3hrfW3/bnebj.CEO.Playbook.Generative.AI.by.Anton.Voroniuk.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Learn Generative AI for Software Testing Published: 3/2025 Created by: Pavan Kumar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 9 Lectures ( 3h 49m ) | Size: 1.23 GB Mastering Generative AI for Software Testers & QA What you'll learn Learn hHow to use Gen AI LLM's effectively to maximize your QA Productivity with smart prompt engineering skills Get Overview of AI Powered Testing tools in current market and their capabilities for revolutionizing Test Automation Learn generating Test Artifacts in fly such as Test Plan, Testcases, Test Data, Bug templates for given Business Requirements Understand how to Generate & optimize the Test code into framework standards with Gen AI Plugins such as Github copilot etc Requirements Software Testing Concepts Skills on Automation Description Unlock the Power of Generative AI and Advance Your Testing CareerAre you a Manual Tester, QA Engineer, or Automation Tester looking to stay ahead in today's fast-paced testing landscape? This course is designed specifically for testers and QA professionals who want to harness the power of Generative AI to enhance productivity and expand their testing capabilities.What You'll Learn in This Hands-On CourseGain clarity on AI vs Generative AI - understand the differences and key concepts.Explore popular Large Language Models (LLMs) such as ChatGPT, Google Gemini, and DeepSeek.Master the art of Prompt Engineering - the foundation for getting accurate and relevant outputs from AI tools.Learn to generate Test Plans, Test Cases, Test Data, and Bug Reports within seconds using Generative AI.Discover how to apply AI in Selenium Automation, API Testing, and Database Testing.Use GitHub Copilot to accelerate coding, fix bugs faster, and effortlessly generate documentation.Why This Course is Essential for TestersThe future of software testing is increasingly AI-powered - from writing test scripts to generating test data, performing exploratory testing, and optimizing SQL queries. 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Whether you are a Manual Tester aiming to boost your efficiency or an Automation Engineer looking to streamline scripting, this course equips you with practical AI skills to future-proof your career.What You'll ReceiveStep-by-step demonstrations for setting up ChatGPT, Google Gemini, and DeepSeek.Real-world examples showing AI applications in Manual Testing, Automation, API Testing, and Database Testing.Hands-on exercises and tailored prompts to practice using AI for testing tasks.Expert tips to save time, reduce errors, and improve test coverage using AI.Guidance on using GitHub Copilot to accelerate and enhance automation work.Who Should EnrollThis course is ideal for:Manual Testers and QA EngineersAutomation Testers (Selenium, API, Database Testers)Test Leads and Test ManagersAnyone interested in understanding how AI is transforming the testing domainPrerequisitesBasic knowledge of manual testing, automation testing, and SQL is recommended - no prior AI experience is required.Future-proof your QA career by mastering Generative AI tools and techniques. Enroll now and stay ahead!Course CurriculumChapter 1: Introduction to AI and Generative AIUnderstanding Artificial Intelligence (AI) and real-world applicationsWhat is Generative AI? Real-world examplesDifferences between AI and Generative AIIntroduction to Large Language Models (LLMs)Why every QA professional should learn Generative AIOverview of popular Generative AI models (ChatGPT, Google Gemini, DeepSeek, and more)Chapter 2: Exploring Large Language Models (LLMs)What exactly is an LLM?How Large Language Models workStep-by-step setup for ChatGPT, Google Gemini, and DeepSeekUnderstanding LLM features and techniques for effective interactionChapter 3: Introduction to Prompt EngineeringWhat is a Prompt and why does Prompt Engineering matter?Key elements of a well-formed prompt:InstructionContextInput DataOutput IndicatorEssential Prompt Engineering techniques:Zero-shot PromptingOne-shot PromptingFew-shot PromptingChapter 4: Quick Recap of Manual Testing FundamentalsKey manual testing concepts and terminologyChapter 5: Applying Generative AI in Manual TestingInstantly generate comprehensive Test PlansAutomatically create Test Scenarios and Test CasesGenerate Test Data on demandUse AI to draft Bug Reports quicklyGenerate Test Execution Reports with minimal effortChapter 6: Using Generative AI in Selenium AutomationAutomatically generate Selenium Test ScriptsDebug errors with AI-suggested solutionsAuto-generate XPath and CSS SelectorsGenerate test data for automation runsCreate documentation for test cases automaticallyGenerate Automation Reports using AIConvert code between languages and frameworksMigrate existing automation frameworks with AI assistanceOptimize XPath and locator strategies with AIUse AI to generate test data and integrate with APIsAdvanced prompt techniques for automation engineersChapter 7: Applying Generative AI to API TestingGenerate API Payloads using AICreate POJO Classes from JSON responsesAutomatically generate JSON Schema from API responsesAdd assertions to API tests with AI-generated codeConvert data formats (JSON to CSV and vice versa)Build utility methods to read data from JSON, CSV, and XML files using AIChapter 8: AI in SQL and Database TestingAI-powered SQL Query GenerationQuery optimization and performance tuningData integrity and validation checksVerify query accuracy using AISchema validation using AI-generated promptsEnsure data consistency during data migration tasks with AI assistanceChapter 9: Mastering GitHub Copilot for Testers and Automation EngineersInstall and set up GitHub CopilotGenerate meaningful commit messages automaticallySummarize code changes with AI assistanceUse Copilot to suggest bug fixes and improvementsGenerate sample test data directly in your IDEAutomatically rewrite code to match desired styles or patternsUse Copilot to generate documentation for your test methodsTake the next step in your QA career and become an AI-empowered tester. 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Free Download Generative AI Made Easy - Video, Audio, and Image Creation Published: 2/2025 Created by: Pixovert Studio MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 15 Lectures ( 1h 25m ) | Size: 1.28 GB Learn Sora, Runway ML, Eleven Labs, Adobe Firefly Video, ChatGPT, Perplexity AI, Udio, Pika & More for Creative Projects What you'll learn Master the use of Adobe Firefly Video for generating visuals from text prompts. Learn to create videos using AI platforms like Runway ML, Pika, and Sora. Generate lifelike voiceovers and audio tracks with Eleven Labs and Udio. Understand diegetic and non-diegetic audio to enhance storytelling. Use ChatGPT and Perplexity AI for image creation, scripting, and idea generation. Create professional-quality visuals using DALL-E 3 and FLUX Image Models. Explore advanced video prompts to generate detailed, dynamic videos. Use image prompts in Sora to create visually stunning video projects. Incorporate motifs, themes, and MacGuffins into AI-generated storytelling. Add emotional depth to projects with musical motifs and sound design techniques. Seamlessly integrate AI-generated assets into Adobe Premiere Pro workflows. Evaluate the quality of AI-generated videos for technical and creative improvements. Compose mood-driven music with Udio to match the tone of your video projects. Requirements A strong interest in Generative AI - video creation and editing and composition. Most of the services have a monthly or annual subscription cost Beginners welcome Description Course Description: Master Generative AI for Video, Audio, and Images - Beginner-Friendly!Unleash your creativity with Generative AI, the revolutionary technology transforming video, audio, and image production. 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Free Download Udemy - Generative Ai And Machine Learning With Python Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 9.05 GB | Duration: 19h 30m Unlock the Power of Machine Learning and Generative AI What you'll learn Implement and evaluate machine learning models in Python. Apply dimensionality reduction and clustering techniques. Understand and explain core generative AI models. Build and train Artificial Neural Networks (ANNs) and Multi-Layer Perceptrons (MLPs) using Keras. Requirements Basic Programming in Python Description Unlock the Power of Machine Learning and Generative AIThis comprehensive course provides a deep dive into the core concepts and practical applications of machine learning and generative AI. Starting with foundational principles like supervised, unsupervised, and reinforcement learning, you'll progress through data preprocessing, evaluation metrics, and essential algorithms like linear and logistic regression, decision trees, and random forests.Dive into unsupervised learning with K-means clustering and Prin[beeep]l Component Analysis (PCA), mastering dimensionality reduction. Transition to deep learning with Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Multi-Layer Perceptrons (MLPs) using Keras.Finally, explore the cutting edge of generative AI, including Transformer attention mechanisms, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Recurrent Neural Networks (RNNs), and Gated Recurrent Units (GRUs).Course Highlights:Practical Labs: Hands-on experience coding in Python, solidifying your understanding of key algorithms.Comprehensive Coverage: From fundamental machine learning to advanced generative AI techniques.Detailed Evaluation: Learn to assess model performance with various metrics and confusion matrices.Deep Learning Mastery: Implement and train neural networks using Keras.Generative AI Exploration: Demystify Transformers, GANs, VAEs, and RNNs.Regular Quizzes: Reinforce learning with quizzes after each module.This course is designed for anyone seeking a robust understanding of machine learning and generative AI, from beginners to those looking to expand their knowledge. Overview Section 1: Introduction Lecture 1 Introduction Lecture Lecture 2 Supervised Learning LAB Lecture 3 Unsupervised Learning LAB Lecture 4 Data Preprocessing Lecture 5 Evaluation Metrics - Accuracy, Precision, Recall, F1-Score Lecture 6 Evaluation Metrics - Confusion Matrix Section 2: Module 2 Supervised Learning Lecture 7 Linear Regression Lecture 8 Logistic Regression Lecture 9 Decision Trees Lecture 10 Random Forest Section 3: Module 3 Unsupervised Learning Lecture 11 K Means Clustering Lecture 12 K Means Clustering Python Code Lecture 13 Prin[beeep]l Component Analysis (PCA) Section 4: Module 4 Deep Learning Lecture 14 Introduction to Deep Learning and Artificial Neural Network (ANN) Lecture 15 Coding ANN in Python Lecture 16 The Perceptron Lecture 17 Convolutional Neural Networks Lecture 18 Coding a CNN Lecture 19 Implementing MLP with Keras Part 1 Lecture 20 Implementing MLP with Keras Part 2 Lecture 21 Implementing MLP with Keras Part 3 Section 5: Module 5 Generative AI Lecture 22 Transformer's Attention Mechanism Lecture 23 Understanding Transformers Lecture 24 Understanding the Generative Adversarial Networks (GANs) Lecture 25 Understanding Variational Autoencoders (VAEs) Lecture 26 Recurrent Nerual Networks Lecture 27 Gated Recurrent Units (GRUs) Anyone interested in AI and Machine Learning Homepage: https://www.udemy.com/course/generative-ai-and-machine-learning-with-python/ DOWNLOAD NOW: Udemy - Generative Ai And Machine Learning With Python Rapidgator https://rg.to/file/07fc69758adcfded80cccdf8b21acdcc/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part09.rar.html https://rg.to/file/155ae946c374e092f45e7da6910a9e88/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part10.rar.html https://rg.to/file/5c70a8773183a8541c5c06c1a7abaa57/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part04.rar.html https://rg.to/file/61ef4541138bcaeaa2bfb065b195ed63/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part06.rar.html https://rg.to/file/6a7afa31ba7f7f88ec81691ffc285c41/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part08.rar.html https://rg.to/file/7b6b8a8abcc9486bbfc8e620017175b2/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part02.rar.html https://rg.to/file/898fdf185dad4541fe6d221b5483b170/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part01.rar.html https://rg.to/file/8efa08e064b95c315236590b355a361a/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part05.rar.html https://rg.to/file/d5dcbc4a17332969034fccb77f69524f/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part07.rar.html https://rg.to/file/f938268a5e5b3b177abbca3444b4daf3/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part03.rar.html Fikper Free Download https://fikper.com/3CiGhkn3RZ/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part05.rar.html https://fikper.com/CoqBexx5qu/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part02.rar.html https://fikper.com/FJlaHBT8LP/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part06.rar.html https://fikper.com/Ghm3Ji1B52/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part09.rar.html https://fikper.com/KQ139tjzL8/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part04.rar.html https://fikper.com/QQEDsBnX6l/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part07.rar.html https://fikper.com/QxrpflXK0X/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part08.rar.html https://fikper.com/dYPQznydH6/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part03.rar.html https://fikper.com/nN0nimXOlN/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part01.rar.html https://fikper.com/s7iI4G5ipl/bscwc.Generative.Ai.And.Machine.Learning.With.Python.part10.rar.html : No Password - Links are Interchangeable

Generative AI Apps with LangChain and Python: A Project-Based Approach to Building Real-World LLM Apps English | 2024 | ASIN : B0DCNCLS8T | 509 Pages | PDF (True) | 11 MB Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain's components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level. https://rapidgator.net/file/fd783c7f3c296569aa52e2ca6ca30a43/ https://nitroflare.com/view/EB86586124B33A7/ https://turbobit.net/e1k9xwlk4zu1.html

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