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Free Download Using Generative AI to Analyze and Optimize Cloud Spend Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 15m 16s | Size: 38 MB No one wants to pay for infrastructure they don't use and finding inefficiencies can be a time consuming process. This course will teach you how to use Generative AI tools to analyze and optimize your cloud spend and minimize time spent on this task. Inefficiencies in cloud spend can result in paying for services and infrastructure you don't need. The promise of the cloud is to be more efficient with deployed infrastructure. In this course, Using Generative AI to Analyze and Optimize Cloud Spend, you'll learn to analyze your cloud spending and implement cost optimization while saving your time and gaining new insights by using Generative AI. First, you'll explore how to analyze cloud spending patterns using AI. Next, you'll discover some AI tools that assist in cost analysis. Finally, you'll learn how to implement cost optimization strategies based on AI insights. When you're finished with this course, you'll have the skills and knowledge to analyze and optimize cloud spend using Generative AI. This will allow you to discover and mitigate cost inefficiencies in cloud services using the least amount of your time. Homepage https://app.pluralsight.com/library/courses/using-generative-ai-analyze-optimize-cloud-spend/ TakeFile https://takefile.link/po1j390qbqgo/rqxke.Using.Generative.AI.to.Analyze.and.Optimize.Cloud.Spend.rar.html Rapidgator https://rg.to/file/ed9832ee5417526998ba83d35d1eb3b2/rqxke.Using.Generative.AI.to.Analyze.and.Optimize.Cloud.Spend.rar.html Fikper Free Download https://fikper.com/IKshDFUt8l/rqxke.Using.Generative.AI.to.Analyze.and.Optimize.Cloud.Spend.rar.html No Password - Links are Interchangeable

Free Download The Next Frontier Generative Ai For Absolute Beginners Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 946.39 MB | Duration: 3h 42m Learn the Fundamental Concepts of AI, ML and Generative AI with an Easy, Simple and Fun Training What you'll learn Artificial Intelligence (AI), Machine Learning and Deep Learning Fundamentals of Machine Learning Typical ML Tasks Training Phase, Trained Model, Features Supervised/Unsupervised/Semi-supervised Learning Artificial Neural Networks (ANNs) Deep Learning Architectures Large Language Models (LLMs) Contextual Prompting, RAG, Fine-Tuning Foundation Models Prompt, Tokens, Context Window Prompt Engineering Pretraining and Fine-tuning Gen AI - Key Challenges and Limitations Text-To-Text/Image/Video/Audio Models Generative AI - Key Use Cases Requirements Nothing specific is needed to start the training program. Description The Future is HereStep into the fascinating realm of Generative AI, where machines create content with unprecedented creativity and intelligence. Generative AI is no longer a buzzword; it's reshaping industries and redefining possibilities, opening new doors to innovation and advanced applications. From art and music to healthcare and finance, its impact is undeniable. This course is your gateway to understanding the core concepts driving this revolution.Demystifying the ComplexNavigating the world of AI can be overwhelming. This course breaks down complex ideas into easy-to-understand concepts. Whether you're a student, tech enthusiast, a business leader, or simply curious, you'll find value in this comprehensive approach.Build a Strong FoundationGenerative AI is a rapidly evolving field with endless possibilities. This course will equip you with the fundamental theoretical knowledge needed to thrive in the AI-driven world. You'll gain a deep understanding of the AI landscape, the key machine learning building blocks, how Generative AI works, its potential applications, and market use cases across different sectors. We will also talk about limitations, challenges, and ethical considerations while leveraging this cutting-edge technology.Join the Gen AI RevolutionReady to embark on this transformative journey? Join me as we explore the exciting world of Generative AI. Overview Section 1: Getting Started Lecture 1 Welcome! Lecture 2 Any Question? Section 2: Let's Build the AI Puzzle Lecture 3 Introduction Lecture 4 Artificial Intelligence (AI) Lecture 5 Machine Learning (ML) Lecture 6 Deep Learning (DL) Lecture 7 Generative AI (Gen AI) Lecture 8 Summary Section 3: Soft Introduction to Machine Learning Lecture 9 Introduction Lecture 10 The ML Box (I/O) Lecture 11 Typical ML Tasks Lecture 12 Training Phase Lecture 13 Y = F(X) - OMG! Lecture 14 Data Types Lecture 15 Features Lecture 16 Please Call the Supervisor! Lecture 17 Summary Section 4: The Magic Behind Generative AI Lecture 18 Introduction Lecture 19 Artificial Neural Networks Lecture 20 Deep Learning Architectures Lecture 21 Foundation Models Lecture 22 Large Language Models (LLMs) Lecture 23 Model Types Lecture 24 Prompt and Tokens Lecture 25 Total Tokens and Context Window Lecture 26 Next Token Please! Lecture 27 Self-Supervised Learning Lecture 28 Improving and Adapting LLMs Lecture 29 Summary Section 5: Key Challenges and Limitations Lecture 30 Introduction Lecture 31 Prompt Sensitivity Lecture 32 Knowledge Cutoff Lecture 33 It is not Deterministic Lecture 34 Structured Data Lecture 35 Hallucinations Lecture 36 Lack of Common Sense Lecture 37 Bias and Fairness Lecture 38 Data Privacy, Security, and Misuse Lecture 39 Summary Section 6: Unleash the Power of Generative AI Lecture 40 Introduction Lecture 41 Text-Image-Video-Audio Generation Lecture 42 Web-Based vs Application-Based (APIs) Lecture 43 Use Case - Brainstorm Assistant Lecture 44 Use Case - Summarization Lecture 45 Use Case - Text Enhancement Lecture 46 Use Case - Code Generation Lecture 47 Use Case - Content as a Framework Lecture 48 Use Case - Images on Demand Lecture 49 Use Case - Boosting AI-Based Apps Lecture 50 Best Practices for Prompts Lecture 51 Summary Section 7: Course Summary Lecture 52 Let's Recap Lecture 53 Thank You! Engineers,Software developers,IT Professionals,Product/Project/Marketing Managers,Solutions Architects Homepage https://www.udemy.com/course/the-next-frontier-generative-ai-for-absolute-beginners/ Rapidgator https://rg.to/file/8ccf2ec7d67de5bb81bac94b70d72892/zbuid.The.Next.Frontier.Generative.Ai.For.Absolute.Beginners.rar.html Fikper Free Download https://fikper.com/lK4FkUQkBN/zbuid.The.Next.Frontier.Generative.Ai.For.Absolute.Beginners.rar.html No Password - Links are Interchangeable

Free Download Implementing Multilingual Generative AI Cross-lingual RAGs Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 19m | Size: 50 MB Learn to build robust, multilingual RAG systems that enhance retrieval and generation capabilities across diverse languages, all through hands-on coding demonstrations with cutting-edge tools and models. Let's explore advanced techniques for cross-lingual retrieval, including machine translation, cross-lingual embeddings, and language-agnostic representations. By mastering cross-lingual retrieval techniques, you'll be able to bridge language barriers in AI applications, ensuring accurate and meaningful results across diverse linguistic contexts. In this course, Implementing Multilingual Generative AI Cross-lingual RAGs, you'll learn the skills to build robust Retrieval-Augmented Generation (RAG) systems that effectively operate across multiple languages. First, you'll delve into the foundational concepts of cross-lingual retrieval and explore the role of machine translation in creating multilingual AI systems. You'll learn to leverage popular libraries and models to translate and retrieve information across languages seamlessly. Next, you'll gain a deep understanding of cross-lingual embeddings, learning how to align embeddings across different languages to enhance retrieval accuracy. Then, you'll discover how models like mBERT and XLM-R can be integrated into your projects to achieve true multilinguality, and you'll evaluate the differences between language-agnostic approaches and other retrieval techniques. Finally, you'll focus on implementing language-agnostic representations, which allow your RAG systems to operate across multiple languages without requiring translation. By the end of this course, you'll have the expertise to implement advanced cross-lingual RAG systems, enabling your AI models to perform optimally across languages and unlocking new possibilities in multilingual AI development. Homepage https://app.pluralsight.com/library/courses/implementing-multilingual-generative-ai-cross-lingual-rags/table-of-contents TakeFile https://takefile.link/iqs12uqe7f9a/wldfk.Implementing.Multilingual.Generative.AI.Crosslingual.RAGs.rar.html Rapidgator https://rg.to/file/b455d35952b2e30d01b9ecf799e4a294/wldfk.Implementing.Multilingual.Generative.AI.Crosslingual.RAGs.rar.html Fikper Free Download https://fikper.com/cfwR8nIkuy/wldfk.Implementing.Multilingual.Generative.AI.Crosslingual.RAGs.rar.html No Password - Links are Interchangeable

Free Download Generative Ai Mastery - Fundamentals To Real-World Impact Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.78 GB | Duration: 3h 36m Master the Basics of Generative AI and Explore Real-World Applications What you'll learn Understand the fundamentals of Generative AI and its real-world applications Differentiate between various types of Generative AI models, including GANs and other architectures Set up an environment to experiment with and implement Generative AI models Train, evaluate, and fine-tune Generative AI models for tasks like image generation and text creation Requirements No prior experience in AI or machine learning is required. This course is beginner-friendly Basic understanding of Python programming is recommended, but not mandatory. Description Unlock the potential of Generative AI with this comprehensive course designed to take you from foundational concepts to advanced, real-world applications. In this course, you'll dive deep into the cutting-edge field of Generative AI, exploring everything from basic AI models to sophisticated frameworks like GANs, VAEs, and RNNs, while gaining hands-on experience building your own generative models.Throughout the course, you'll learn how to implement popular models, train them for various tasks, and fine-tune pre-trained models using advanced techniques like transfer learning and attention mechanisms. Whether you're interested in generating realistic images, text, or even pioneering research, this course will equip you with the skills and knowledge to excel.Key topics include:Fundamentals of Generative AI: What it is, types of models, and real-world applications.Generative Adversarial Networks (GANs): Architecture, training, and image generation applications.Variational Autoencoders (VAEs): Building models for data generation and real-world use cases.Recurrent Neural Networks (RNNs): Sequence generation using RNNs and LSTMs, with hands-on text generation.Transfer Learning in Generative AI: Fine-tuning pre-trained models for generative tasks in image and text.Attention Mechanisms: Implementing self-attention in generative models and understanding Transformer models.Ethical Considerations: Exploring fairness, bias, privacy, and responsible use of Generative AI.This course is packed with hands-on projects and exercises, allowing you to apply the knowledge in real-world contexts. By the end of the course, you'll have a robust portfolio of AI projects and the ability to develop and implement your own Generative AI solutions, setting you up for success in fields like AI research, machine learning engineering, and data science.Who is this course for:AI enthusiasts looking to understand Generative AI from the ground up.Developers, data scientists, and machine learning engineers seeking to enhance their skills.Professionals interested in the practical applications of AI in industries like healthcare, finance, and media.Join now and become a master in Generative AI, ready to solve real-world challenges and contribute to the future of AI innovation! Overview Section 1: Introduction to Generative AI Lecture 1 What is Generative AI? Lecture 2 Applications of Generative AI Lecture 3 Types of Generative AI Models Lecture 4 Challenges in Generative AI Lecture 5 Hands-on: Setting Up Environment Lecture 6 Hands-on: Setting up environment - Demo Section 2: Generative Adversarial Networks (GANs) Lecture 7 Overview of GANs Lecture 8 Architecture of GANs Lecture 9 Training GANs Lecture 10 GANs in Image Generation Lecture 11 Hands-on: Implementing GANs Lecture 12 Hands-on: Implementing GANs - Demo Section 3: Variational Autoencoders (VAEs) Lecture 13 Introduction to VAEs Lecture 14 Encoder and Decoder in VAEs Lecture 15 Objective Function of VAEs Lecture 16 Applications of VAEs Lecture 17 Hands-on: Building VAE Models Lecture 18 Hands-on: Building VAE models - Demo Section 4: Sequence Generation with Recurrent Neural Networks (RNNs) Lecture 19 Basics of RNNs Lecture 20 Sequence Generation Using RNNs Lecture 21 Long Short-Term Memory (LSTM) Networks Lecture 22 Training RNNs for Sequence Generation Lecture 23 Hands-on: Text generation with RNNs - Demo Section 5: Transfer Learning in Generative AI Lecture 24 Transfer Learning Basics Lecture 25 Fine-Tuning Pre-Trained Models for Generative Tasks Lecture 26 Transfer Learning in Image Generation Lecture 27 Transfer Learning in Text Generation Lecture 28 Hands-on: Transfer Learning for Generative AI Lecture 29 Hands-on: Transfer learning for Generative AI - Demo Section 6: Attention Mechanism in Generative AI Lecture 30 Introduction to Attention Mechanism Lecture 31 Implementing Attention Mechanism in Generative Models Lecture 32 Applications of Attention Mechanism in Generative AI Lecture 33 Hands-on: Perform style transfer on images Section 7: Evaluation and Ethical Considerations in Generative AI Lecture 34 Evaluation Metrics for Generative Models Lecture 35 Fairness and Bias in Generative AI Lecture 36 Privacy Concerns in Generative Models Lecture 37 Responsible Use of Generative AI Lecture 38 Hands-on: Ethics in Generative AI Section 8: Future Trends in Generative AI Lecture 39 Current Research Trends in Generative AI Lecture 40 Generative AI in Healthcare and Other Domains Lecture 41 Advancements in Generative Models Lecture 42 Potential Impact of Generative AI on Society Lecture 43 Hands-on: Exploring Cutting-Edge Applications Beginners interested in Artificial Intelligence and curious about how AI models generate content like images, text, and music.,Developers and programmers looking to expand their skills by working with Generative AI models and tools.,Tech professionals and students eager to understand the fundamentals of Generative AI and its applications in various industries. Homepage https://www.udemy.com/course/generative-ai-mastery-fundamentals-to-real-world-impact/ Rapidgator https://rg.to/file/d15b2f799048abd6be5064e240f60576/aehmy.Generative.Ai.Mastery.Fundamentals.To.RealWorld.Impact.part1.rar.html https://rg.to/file/ed041b48e3e8f71b6fa087c08f802592/aehmy.Generative.Ai.Mastery.Fundamentals.To.RealWorld.Impact.part2.rar.html Fikper Free Download https://fikper.com/YzAD4k4woJ/aehmy.Generative.Ai.Mastery.Fundamentals.To.RealWorld.Impact.part1.rar.html https://fikper.com/jlTpH4KUNw/aehmy.Generative.Ai.Mastery.Fundamentals.To.RealWorld.Impact.part2.rar.html No Password - Links are Interchangeable

Free Download Generative Ai In Logistics Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.23 GB | Duration: 0h 56m Generative AI in Logistics: Supply Chain Design, Demand Forecasting, and Customer Experience What you'll learn Define generative AI and explain its fundamental principles. Discover generative AI use in logistics like supply chain design, demand forecasting, customer experience improvement, and process automation. Examine real-world examples and case studies of generative AI implementations in logistics. Analyze the key benefits of using generative AI in logistics, including driving innovation, improving efficiency, and creating new opportunities. Requirements No requirements Description The "Generative AI in Logistics: Driving Innovation and Efficiency" course is your key to unlocking the transformative power of generative artificial intelligence in the logistics industry. This course covers a broad spectrum of applications and scenarios, from optimizing supply chain design and demand forecasting to enhancing customer experiences and automating creative processes. You'll learn how generative AI models can drive innovation, improve efficiency, and create new opportunities in logistics. The course also addresses challenges and ethical considerations, ensuring you are well-prepared to implement generative AI responsibly.Throughout the course, you'll engage with interactive modules, case studies, and practical projects designed to provide a comprehensive understanding of generative AI and its applications in logistics. Topics include using generative AI for supply chain optimization, developing predictive models for demand forecasting, and creating personalized customer experiences through AI-driven insights. You'll also explore how generative AI can automate complex processes, such as route planning and inventory management, leading to significant efficiency gains.Whether you are a logistics professional aiming to boost efficiency, a business leader seeking innovative solutions, or an enthusiast eager to explore generative AI's potential, this course will provide you with the knowledge and skills to excel in the fast-paced logistics industry. By the end of the course, you will understand how to leverage generative AI to drive innovation and operational improvements, preparing you to lead AI initiatives confidently within your organization. Practical examples and case studies will illustrate the transformative impact of generative AI, ensuring that you are well-equipped to navigate the complexities of AI integration and maximize its potential benefits. Overview Section 1: Introduction Lecture 1 Welcome! Lecture 2 About Generative AI Lecture 3 Application of Generative AI Lecture 4 Blockchain usage Gen AI Lecture 5 Generative AI Revolutionizes Supply Chain Management Lecture 6 Generative AI Revolutionizing Route Planning Lecture 7 Generative AI Revolutionizing Supply Chains Lecture 8 Generative AI Transforms Warehouse Automation Lecture 9 How AI Models Revolutionize Logistics Lecture 10 How Generative AI and IoT Revolutionize Logistics Lecture 11 Preparing for the Next Wave of AI-Driven Innovations Lecture 12 Secure and Ethical AI in Logistics Lecture 13 Future of Generative AI in Global Shipping Lecture 14 Traditional AI vs Generative AI - Key Difference Lecture 15 Case Studies Lecture 16 Conclusion Logistics Professionals,Students,Business Owners Homepage https://www.udemy.com/course/generative-ai-in-logistics/ Rapidgator https://rg.to/file/1ade3c315d9365e1863fa1c1756509a5/badfb.Generative.Ai.In.Logistics.part1.rar.html https://rg.to/file/286a23653f9cad1ea7bb65ee65ebdc2c/badfb.Generative.Ai.In.Logistics.part2.rar.html https://rg.to/file/492b66ccaefba0df84a890ab41b435c7/badfb.Generative.Ai.In.Logistics.part3.rar.html Fikper Free Download https://fikper.com/LBwWQklXT8/badfb.Generative.Ai.In.Logistics.part1.rar.html https://fikper.com/lrxMpFjKsz/badfb.Generative.Ai.In.Logistics.part2.rar.html https://fikper.com/iHDV6hUT0U/badfb.Generative.Ai.In.Logistics.part3.rar.html No Password - Links are Interchangeable

Free Download Generative AI Fundamentals for Beginners Published 9/2024 Created by Mukesh Kumar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 42 Lectures ( 3h 12m ) | Size: 1.1 GB Key Concepts, Techniques, and Live Demo from Scratch What you'll learn: Generative AI Foundations: Understand core concepts and real-world applications Core Principles: Grasp LLMs, embeddings, prompts, and tuning. Industry Examples: Discover AI solutions across different sectors. Practical Skills: Build and deploy Gen AI application from scratch Emerging Trends: Keep up in the changing GenAI field. Ongoing Growth: Plan for continuous AI skill development. Requirements: No Programming Background Needed Desire to Learn Generative AI Commitment to the Course Enthusiasm for Problem Solving Description: Welcome to "Generative AI for Beginners" - the perfect course for anyone excited to explore the world of Generative AI (GenAI) and its amazing potential. This course is designed to give you a solid understanding of basic concepts, practical uses in different industries, and hands-on practice. It's ideal for anyone new to AI, professionals looking to learn more, or anyone simply curious about this cutting-edge technology.In this course, you'll learn the essentials of Generative AI, see how it's used in real life, and get to work on practical projects. We've made sure the content is easy to follow, even if you're starting from scratch.To make your learning experience even better, we offer lifetime support for any questions you might have. You can always reach out to us for help, no matter how long it's been since you started the course. So, join us and see how Generative AI can help you grow your skills and open up new career opportunities.Why Dive into Generative AI?Generative AI is revolutionizing how we create content-from text and images to music-making it a powerful tool across various industries. Understanding this technology will not only enhance your career prospects but also allow you to innovate and solve complex problems with ease.Course Highlights:Beginner-Friendly: Designed specifically for those new to AI and machine learning, with clear and straightforward explanations.Hands-On Experience: Work on your own AI projects and acquire hands-on skills through interactive exercises.Industry-Relevant Knowledge: Discover how Generative AI is transforming areas such as software development and marketing through real-world applications.Expert Guidance: Benefit from the extensive expertise of the instructor in AI and cloud technologies.Ethical and Future-Oriented: Delve into the ethical implications and future trends of AI.Why Choose This Course?Hands-On Learning: Engage in practical, step-by-step activities.Beginner Support: Receive thorough assistance tailored for newcomers to the field.Lifetime Query Support: Get answers to your questions within 48 hours.Ready to start your adventure into Generative AI? Join us and discover how this transformative technology can enhance your skills and open new career doors. Let's get started! Who this course is for: People fascinated by Generative AI's potential AI and Generative AI enthusiasts Business professionals and executives Career seekers in technology Innovative problem solvers Data scientists and engineers Homepage https://www.udemy.com/course/generative-ai-fundamentals-for-beginners/ Rapidgator https://rg.to/file/90fa708f0c74d0bc121b3050c54aa981/lfgjo.Generative.AI.Fundamentals.for.Beginners.part1.rar.html https://rg.to/file/261b14f7316153a77d4aacd562b3a5ae/lfgjo.Generative.AI.Fundamentals.for.Beginners.part2.rar.html Fikper Free Download https://fikper.com/XwAQ6VqZkV/lfgjo.Generative.AI.Fundamentals.for.Beginners.part1.rar.html https://fikper.com/HcjighVPl5/lfgjo.Generative.AI.Fundamentals.for.Beginners.part2.rar.html No Password - Links are Interchangeable

Free Download Jerry Kaplan, Jonathan Yen (Narrator), "Generative Artificial Intelligence: What Everyone Needs to Know ®" English | ASIN: B0D6GWGXH2 | 2024 | MP3@64 kbps | ~09:22:00 | 257 MB Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers. Have we finally discovered the holy grail of AI-machines that match or exceed human intelligence? Which industries and professions will thrive, and which will wither? What risks and dangers will it pose? How can we ensure that these systems respect our ethical principles? Will the benefits be broadly distributed or accrue to a lucky few? How will GAI alter our political systems and international conflicts? Are we merely a stepping stone to a new form of non-biological life, or are we just getting better at building useful gadgets? Generative Artificial Intelligence: What Everyone Needs to Know® equips listeners with the knowledge to answer these pressing questions. Rapidgator https://rg.to/file/aa3acedda66f9e7d242669ffafd299f4/bibzy.rar.html Fikper Free Download https://fikper.com/KVkE7fiUzw/bibzy.rar.html Links are Interchangeable - No Password - Single Extraction

Free Download Martin Musiol, Jon Vertullo (Narrator), "Generative AI: Navigating the Course to the Artificial General Intelligence Future" English | ASIN: B0DC72VNNW | 2024 | MP3@64 kbps | ~13:12:00 | 363 MB In Generative AI: Navigating the Course to the Artificial General Intelligence Future, Martin Musiol delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space. Musiol analyzes complex and foundational topics in generative AI, breaking them down into straightforward and easy-to-understand pieces. You'll also find bold predictions about the future emergence of Artificial General Intelligence via the merging of current AI models; fascinating explorations of the ethical implications of AI, its potential downsides, and the possible rewards; and insightful commentary on Autonomous AI Agents and how AI assistants will become integral to daily life in professional and private contexts. Perfect for anyone interested in the intersection of ethics, technology, business, and society-and for entrepreneurs looking to take advantage of this tech revolution-Generative AI offers an intuitive, comprehensive discussion of this fascinating new technology. Rapidgator https://rg.to/file/ded894622a47b5fdb56453d65af4a10e/5xr23.rar.html Fikper Free Download https://fikper.com/S6ErIj7UIo/5xr23.rar.html Links are Interchangeable - No Password - Single Extraction

Free Download Risk Management in Generative AI Implementation Published 9/2024 MP4 | Video: h264, 1286x720 | Audio: AAC, 48 KHz Language: English | Size: 37 MB | Duration: 14m 28s Every business considering incorporating Generative AI must take into consideration a variety of risks. In this course, Risk Management in Generative AI Implementation, you'll learn what to consider in managing the risk of a generative AI adoption. First, you'll explore the potential data risks associated with generative AI implementation. Next, you'll discover risks associated with AI models. Finally, you'll learn how to leverage risk management strategies to monitor and address those risks. When you're finished with this course, you'll have the skills and knowledge needed to manage the risk associated with generative AI adoption. Homepage https://www.pluralsight.com/courses/risk-management-generative-ai-implementation TakeFile https://takefile.link/1jj6vyeb531h/vmwfo.Risk.Management.in.Generative.AI.Implementation.rar.html Rapidgator https://rg.to/file/6a9f4a6b3aee2e05906ba7b2a9da3dbd/vmwfo.Risk.Management.in.Generative.AI.Implementation.rar.html Fikper Free Download https://fikper.com/7QM5l4qQMh/vmwfo.Risk.Management.in.Generative.AI.Implementation.rar.html No Password - Links are Interchangeable

Free Download Python and Generative AI for Beginners - From Scratch Published 9/2024 Duration: 22h31m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 11.2 GB Genre: eLearning | Language: English Master Python and Dive into Generative AI with No Prior Experience: Learn to Code and Create Using Real-World Tools What you'll learn Beginners who dont code in their entire life time People who are in non tech role willing to look for technical opportunities People who have keen interest on learning Gen AI Understand how Gen AI industry works by creating real time applications Requirements Zero programming skills required. We will start everything from scratch Description This 16-lecture course is designed to provide a solid foundation in Python programming and an introduction to Generative AI. Tailored for beginners, the course includes both theoretical lessons and hands-on projects to ensure that learners can apply their knowledge in real-world scenarios. The entire course is more of a story telling format to beginners in realtime. The recordings can give you an immersive experience in class. Lecture 1: Introduction to Generative AI and Python Overview of the course structure and objectives. Introduction to Python and its importance in AI. Overview of Generative AI, including its applications and relevance in today's world. Python Fundamentals (Lectures 2-10) Lecture 2: Introduction to Python Basics Overview of programming and Python as a language. Setting up and using Google Colab for coding. Exploring GitHub for code storage and collaboration. Basic syntax in Python: print statements, comments. Lecture 3: Variables and Data Types Understanding variables and their role in programming. Exploring different data types: integers, floats, strings. Simple input and output operations using input() and print() functions. Lecture 4: Control Structures Conditional statements: if, elif, else. Comparison and logical operators. Introduction to loops: while loops and their use in repetitive tasks. Lecture 5: Lists and For Loops Lists: creation, indexing, slicing, and basic list methods. Introduction to for loops and their applications in iterating through lists. Lecture 6: Sets and Loops Working with sets: creation and methods. Continuation of for loops, applied to sets and other data structures. Lecture 7: Tuples and Dictionaries Overview of tuples: creation and properties. Working with dictionaries: creation, accessing values, and basic dictionary methods. Lecture 8: Functions in Python Understanding and using built-in functions. Defining custom functions, parameters, and return values. Lecture 9: Modules and Libraries Introduction to Python modules and libraries. Using the math module and understanding Python packages. Introduction to PIP for managing Python libraries. Lecture 10: String Operations and File Handling String operations and formatting. Reading from and writing to files using Google Colab's file system. Hands-on project: Create a simple Python project to demonstrate understanding of Python fundamentals. Introduction to Generative AI (Lectures 11-13) Lecture 11-12: Text Generation and LLMs Overview of text generation tools and Large Language Models (LLMs) like ChatGPT, Gemini, and Claude. Hands-on exercises using OpenAI Playground and Google AI Studio for text generation. Practical comparison of outputs from different AI tools. Lecture 13: AI-driven Code Generation and Prompt Engineering Introduction to AI-based code generation using tools like ChatGPT and Claude. Understanding Cursor IDE for AI-assisted coding. Practical project: Build a simple web page using AI-generated code. Advanced Generative AI Concepts (Lectures 14-16) Lecture 14: Image Generation and Running LLMs Locally Overview of image generation tools such as DALL-E, Midjourney, and Stable Diffusion. Practical exercise: Generating and animating images using runwayML. Running open-source LLMs locally using tools like Ollama and LMStudio. Lecture 15: Retrieval Augmented Generation (RAG) Using LLMs with custom data through RAG techniques. Introduction to embeddings and vector stores (chromaDB, qdrant). Practical exercise: Building a RAG pipeline to process and store PDFs in qdrant cloud. Lecture 16: Building Real AI Projects Introduction to Langchain and LlamaIndex. Hands-on project: Create a RAG-based question-answering system on a webpage. Exploring the open-source AI ecosystem and next steps for continued learning. By the end of the course, learners will have gained a thorough understanding of Python programming and practical experience with Generative AI, enabling them to build AI-driven projects. 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Free Download Generative AI for Business Professionals (2024) Published 9/2024 Created by Tobias Faiss MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 28 Lectures ( 2h 11m ) | Size: 637 MB Getting Started With AI in Your Work: Start Your Generative AI Journey, Learn ChatGPT, Copilot & Prompt Engineering What you'll learn: Detailed Understanding of Generative AI Create AI generated text and images Key Concepts like Deep Learning and Machine Learning, GANs and LLM Hands-on experience, creating various content for work Prompt Engineering in ChatGPT, Copilot and LM Studio AI Governance, Ethical AI and how use AI responsibly Requirements: No background required. You learn everything you need in the course. Description: Course OverviewWelcome to "Generative AI for Business Professionals," a comprehensive course designed for business leaders and professionals with limited or no knowledge in AI and looking to leverage the power of Generative AI in their organizations. This course will equip you with the knowledge and skills to implement AI solutions effectively, optimize business processes, and drive innovation.Why Enroll in This Course?Learn AI fast: Learn how Generative AI can revolutionize your work and career planning in fields like business operations, marketing strategies, and customer service.Practical Applications: Gain hands-on experience with ChatGPT and Microsoft Copilot to automate tasks, generate content, and enhance productivity.Ethical Insights: Understand the ethical considerations and societal impacts of AI to ensure responsible implementation.Expert Guidance: Benefit from expert-led instructions, real-world case studies, and practical assignments.What You'll LearnModule 1: Introduction to Generative AIUnderstand the basics of AI, machine learning, and neural networks.Explore key concepts and applications of Generative AI in business.Module 2: Types of Generative AI ModelsDive into Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models.Compare and contrast different AI models and their use cases.Module 3: Business Applications of Generative AIDiscover how AI can enhance marketing, product design, and customer support.Analyze real-world case studies of AI implementation in various industries.Module 4: Practical Use of ChatGPT and Microsoft CopilotLearn to use ChatGPT for customer support automation and content generation.Utilize Microsoft Copilot to enhance coding productivity and documentation.Use Prompt Engineering to create effective responses. Module 5: Introduction to LMStudio and Model InstallationSet up LMStudio, navigate its interface, and install pre-trained AI models.Module 6: Working with AI Models in LMStudioInstall and run AI models locally and generate outputs.Module 7: Ethical Considerations and Future TrendsExplore the ethical implications of AI and future trends in the AI landscape.Module 8: AI Governance and ComplianceUnderstand the importance of AI Governance and Compliance in your organization.Course Benefits:Hands-On Labs: Practical exercises and assignments to apply your knowledge.Quizzes and Assessments: Multiple choice quizzes and assignments at the end of each module to reinforce learning.Expert Support: Access to expert instructors and a community of peers for support and networking.Certification: Receive a certificate upon course completion to showcase your AI expertise.Frequently Asked QuestionsWho is this course for? This course is designed for business leaders, IT managers, and professionals with limited or no background in AI who want to harness the power of Generative AI in their organizations.Do I need any prior knowledge of AI? No prior knowledge of AI is required. This course is designed for beginners and covers the basics and gradually advances to more complex topics.How long is the course? The course is designed to be completed in 2-3 hours, with flexible learning options to fit your schedule.What do I need to get started? You will need a computer with internet access. Instructions for installing necessary software and tools will be provided during the course.Will I receive a certificate? Yes, you will receive a certificate upon successful completion of the course.Join Thousands of Professionals Who Have Transformed Their Careers with AIEnroll NowDon't miss out on the opportunity to stay ahead in the rapidly evolving AI landscape. 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Free Download RAG and Generative AI with Python 2024 Published 9/2024 Created by Diogo Alves de Resende MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 86 Lectures ( 9h 5m ) | Size: 6.33 GB Mastering Retrieval-Augmented Generation (RAG), Generative AI (Gen AI), Prompt Engineering and OpenAI API with Python What you'll learn: Gain a solid foundation in information retrieval concepts, including tokenization, preprocessing, indexing, querying, and ranking. Implement various retrieval models in Python, such as the Vector Space Model, Boolean Retrieval, and Probabilistic Retrieval, using real-world datasets. Understand how text generation models work, including the principles behind transformers and attention mechanisms. Acquire hands-on experience in using Python libraries to build, fine-tune, and deploy generative models like GPT for various text generation tasks. Learn how to effectively combine retrieval and generative models to build robust Retrieval-Augmented Generation (RAG) systems. Utilize Python for advanced RAG system components, such as tokenization, embedding creation, FAISS indexing, and context distance definition. Explore the integration of OpenAI's API in RAG systems to enhance retrieval and generation capabilities, including prompt engineering and embedding strategies. Develop skills to process and integrate unstructured data formats (Excel, Word, PowerPoint, EPUB, PDF) into RAG systems using Python. Learn to build multimodal RAG systems that combine text, audio, and image data using Python, leveraging models like CLIP and Whisper. Master techniques to improve the accuracy, efficiency, and effectiveness of RAG systems, preparing you for real-world applications and advanced AI research. Requirements: Python Proficiency (For loops, Functions) Description: Are you struggling to build RAGs? As the amount of digital content grows exponentially, it becomes increasingly challenging to create AI models that can efficiently sift through vast data to provide accurate and meaningful responses. Traditional search engines and basic AI models often fall short in delivering the context-aware results needed in today's fast-paced digital landscape.RAG and Generative AI with Python is designed to solve this problem by teaching you how to build powerful Retrieval-Augmented Generation (RAG) systems using Python. This course will guide you through the essentials of combining retrieval techniques with generative models to develop applications that are both highly responsive and contextually accurate.Throughout this course, you will:Understand RAG Systems: Learn how to integrate retrieval and generation to enhance your AI models' capabilities, making them more effective at understanding and generating relevant content.Learn Practical Python Applications: Gain hands-on experience with Python libraries and frameworks, enabling you to implement RAG systems and generative models from scratch.Explore Generative AI and Prompt Engineering: Delve into the mechanics of generative models and the art of prompt engineering to refine AI outputs, ensuring they meet specific user needs.Utilize OpenAI's API for Advanced Applications: Discover how to leverage OpenAI's API to enhance your models, adding a new layer of sophistication to your AI solutions.Handle Various Data Formats in AI Systems: Develop skills to manage unstructured data types, including text, images, and audio, and integrate them into multimodal RAG systems for comprehensive AI applications.Optimize AI Models for Real-World Use: Learn strategies to fine-tune your AI models for improved efficiency, accuracy, and performance in practical scenarios.This course is perfect for data scientists, software developers, AI enthusiasts, and anyone with a basic knowledge of Python who wants to build smarter, more efficient AI systems. If you're ready to overcome the limitations of traditional models and lead the charge in AI innovation, this course is for you.Take the next step in your AI journey with RAG and Generative AI with Python and learn how to create the advanced AI tools that the world needs now. Enroll today and start transforming the way you build AI systems! Who this course is for: Data Scientists and Machine Learning Engineers looking to deepen their knowledge of generative AI systems. AI Researchers and Enthusiasts interested in exploring the latest advancements in (RAG) and generative AI technologies. oftware Developers and Programmers who want to expand their skill set to include AI and machine learning techniques. Technical Product Managers and AI Strategists who manage AI projects and need a deeper technical understanding of how RAG systems work and their potential applications. AI Consultants and Data Analysts aiming to add AI capabilities to their skillset Entrepreneurs and business leaders in the tech space who want to understand the potential of RAG systems and generative AI to innovate. 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Published 7/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 30.94 MB | Duration: 15m 44s This course will teach you how to share the benefits of AI with your employees. In this course, Managing Change and Driving Adoption of Generative AI, you'll learn to share the importance of AI tools with your employees. First, you'll explore change management strategies to support generative AI adoption. Next, you'll discover how to communicate the benefits and impact of generative AI. Finally, you'll learn how to provide training and resources. When you're finished with this course, you'll have the skills and knowledge of change adoption for AI needed to implement AI tools at your company. Homepage https://www.pluralsight.com/courses/managing-change-driving-adoption-generative-ai Free Download TakeFile https://takefile.link/ngzomdgy2bq6/mbwuo.Managing.Change.and.Driving.Adoption.of.Generative.AI.rar.html Rapidgator https://rg.to/file/4235c6cb104473a44691d00537ab72d8/mbwuo.Managing.Change.and.Driving.Adoption.of.Generative.AI.rar.html No Password - Links are Interchangeable

Free Download Generative AI for Leaders by Amanda Bennetts Published 9/2024 Duration: 2h14m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 3.3 GB Genre: eLearning | Language: English Master generative AI to drive innovation, optimize operations, and lead your organization into the future. What you'll learn Apply generative AI to optimize business strategy and drive innovation across multiple functions. Analyze AI-generated insights to improve decision-making and operational efficiency. Evaluate ethical considerations in AI to ensure responsible and transparent implementation. Lead AI-driven transformation by fostering collaboration between technical and business teams. Implement AI tools to enhance customer experiences and predict future business trends. Requirements Basic understanding of business strategy and leadership principles. Familiarity with digital tools and data-driven decision-making. No prior experience with AI required; curiosity and a willingness to learn are essential. Description In the **Generative AI for Leaders** course, you'll gain a comprehensive understanding of how generative AI is revolutionizing leadership and business strategy. Designed for business leaders, managers, and aspiring leaders, this course will equip you with the tools and knowledge needed to harness the power of AI to drive innovation, improve decision-making, and optimize operations. Throughout the course, you'll explore the fundamentals of AI and learn how it's applied across different business functions, from marketing and customer service to finance and supply chain management. You'll discover real-world applications of generative AI and how industry leaders are using it to stay ahead in a competitive marketplace. By the end of this course, you'll be able to identify opportunities where AI can add value to your organization, improve efficiency, and enhance customer experiences. One of the key benefits of this course is that it addresses the **ethical considerations** of AI implementation. You'll learn how to navigate challenges like bias, privacy concerns, and the social impact of AI on the workforce. This will help you implement AI responsibly and ethically in your organization, ensuring that your AI strategies are aligned with long-term business goals and societal values. The course also focuses on **leadership in an AI-driven world**. You'll explore how AI is reshaping leadership roles, requiring new skills like data-driven decision-making, cross-functional collaboration, and the ability to lead AI-driven transformations. You'll leave with practical strategies for integrating AI into your organization's culture and preparing your workforce for the AI-driven future through upskilling and reskilling. By the end of the **Generative AI for Leaders** course, you'll have a clear understanding of how to leverage AI as a strategic asset in your business. You'll be able to foster a culture of continuous innovation, lead AI-driven teams, and maintain a competitive edge in a rapidly changing business landscape. Whether you're new to AI or already familiar with its basics, this course will provide you with actionable insights to take your leadership and business strategy to the next level. Who this course is for Business leaders, managers, aspiring managers, and future leaders** looking to leverage AI for innovation and operational optimization. Ideal for those with a foundational understanding of business strategy, leadership, and digital tools-no prior AI experience needed. Suitable for individuals motivated to explore AI's role in transforming decision-making, enhancing customer experiences, and preparing organizations for the future. Homepage https://www.udemy.com/course/generative-ai-for-leaders-e/ Rapidgator https://rg.to/file/dd420cc68932622861d181c01262df62/bbglq.Generative.AI.for.Leaders.by.Amanda.Bennetts.part1.rar.html https://rg.to/file/862d5eed615b17f7161f1947ab50634a/bbglq.Generative.AI.for.Leaders.by.Amanda.Bennetts.part2.rar.html https://rg.to/file/d4b0c84598145de04bf92cfd547827ec/bbglq.Generative.AI.for.Leaders.by.Amanda.Bennetts.part3.rar.html https://rg.to/file/358ef74957632ca350fdec68f06773e9/bbglq.Generative.AI.for.Leaders.by.Amanda.Bennetts.part4.rar.html Fikper Free Download https://fikper.com/HUM9wHTdco/bbglq.Generative.AI.for.Leaders.by.Amanda.Bennetts.part1.rar.html https://fikper.com/PSet5xdNJn/bbglq.Generative.AI.for.Leaders.by.Amanda.Bennetts.part2.rar.html https://fikper.com/vKfgwkOQS1/bbglq.Generative.AI.for.Leaders.by.Amanda.Bennetts.part3.rar.html https://fikper.com/B2KUvIUbAl/bbglq.Generative.AI.for.Leaders.by.Amanda.Bennetts.part4.rar.html No Password - Links are Interchangeable

Free Download Maximize Office and Personal Productivity with Generative AI Published 9/2024 Created by Ming Chong MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 12m ) | Size: 1.38 GB Generative AI and Chatbot like ChatGPT for Office Productivity, Personal Productivity, Project Management, Time Manage What you'll learn: Harness AI to write complex Excel formulas, create efficient macros, and analyze data like a pro. Enhance your PowerPoint skills by using AI to automatically generate professional presentation slides, helping you deliver compelling messages with ease. Discover how to use AI to create Google Forms and stunning surveys effortlessly, allowing you to gather valuable feedback and insights from your audience. Use AI to automate routine tasks and workflows, increasing your team's productivity and freeing up time for strategic initiatives. Enhance your writing skills with AI support. Learn to summarize and analyze documents efficiently. Master the art of converting speech to text for accurate meeting minutes and transcribing or extracting text from images seamlessly. Create visually appealing infographics and reports using AI, making complex information easy to understand and share with stakeholders. Learn how to use AI for designing creative content that resonates with your audience, enhancing your marketing and communication strategies. Discover how to leverage AI to build and optimize a professional website for your business, showcasing your services effectively. Requirements: No prior knowledge needed. You will learn everything in the course. Description: Unlock the potential of artificial intelligence in your business practices with our comprehensive course. Designed for professionals looking to enhance their skills and drive efficiency, this course will empower you to leverage AI tools to transform everyday tasks and optimize your workflow.What You Will Learn:In this course, you will delve into a wide range of AI applications specifically tailored for business needs, including:Enhancing Excel Skills: Learn to harness AI to write complex Excel formulas, create efficient macros, and analyze data like a pro. 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Learn to summarize and analyze documents efficiently, ensuring clarity and professionalism in all your communications.Transcribing and Extracting Text: Master the art of converting speech to text for accurate meeting minutes and transcribing or extracting text from images seamlessly.Generating Infographics and Reports: Create visually appealing infographics and reports using AI, making complex information easy to understand and share with stakeholders.Content Creation and Design: Learn how to use AI for designing creative content that resonates with your audience, enhancing your marketing and communication strategies.Building Websites Automatically: Discover how to leverage AI to build and optimize a professional website for your business, showcasing your services effectively.What You Can Achieve:By the end of this course, you'll be equipped to:- Utilize AI tools to significantly enhance productivity in Excel and other business applications.- Create powerful presentations that engage and inform your audience.- Collect and analyze feedback through automated surveys, leading to improved business strategies.- Streamline workflows, allowing you to focus on high-impact tasks.- Communicate effectively through improved writing and documentation skills.- Transform speech and visual data into actionable insights effortlessly.- Develop engaging content and a professional online presence that attracts customers.Why Enroll?In today's rapidly evolving business landscape, the ability to leverage AI can be a game changer. 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Free Download Mastering Generative AI with PyTorch - Hands-on Experience Published 9/2024 Created by Navid Shirzadi, Ph.D. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 59 Lectures ( 13h 41m ) | Size: 5.1 GB Hands-On Training in Generative Adversarial Networks: Create, Train, and Apply GANs with PyTorch What you'll learn: Understand GAN Fundamentals Learn to build and train GAN models from scratch using PyTorch Acquire the skills to create synthetic data for various applications Explore advanced GAN techniques for converting text into images Requirements: Basic Python Knowledge Understanding of Machine Learning Concepts Mathematical Background Description: Dive into the transformative world of Generative AI with this comprehensive course on Generative Adversarial Networks (GANs) using PyTorch. This course is designed to provide a deep understanding of GANs and their applications, blending theoretical knowledge with extensive hands-on experience.What You'll Learn:Core GAN Concepts: Grasp the fundamentals of GANs, including the dynamics between the Generator and Discriminator networks, and understand how they collaborate to create realistic outputs.Advanced Model Development: Gain practical experience in building and training sophisticated GAN models from scratch using PyTorch. Learn to implement Convolutional Neural Networks (CNNs) for both Generator and Discriminator, and discover how to refine these models for enhanced performance.Complex Data Generation Techniques: Explore how to integrate complex models such as Long Short-Term Memory (LSTM) networks into GAN frameworks to generate time series and sequential data. Understand the synergy between LSTMs and GANs to create high-quality synthetic data.Text-to-Image Synthesis: Delve into advanced GAN techniques for generating images from textual descriptions. Learn how to combine textual input with visual data to produce accurate and engaging visual representations.Ethical Considerations: Engage in discussions about the moral implications of generative AI technologies. Understand the potential impact of GANs on privacy, misinformation, and the ethical use of synthetic data.Hands-On Coding Experience: Work on real-world projects with step-by-step guidance. You'll write and debug code collaboratively, with detailed line-by-line explanations of the purpose and function of each line. Learn to troubleshoot and optimize your GAN models for better results.Who Should Enroll:This course is ideal for aspiring data scientists, machine learning engineers, and Python developers who want to expand their expertise in generative models. It is also suitable for researchers and practitioners in computer vision and those interested in the ethical dimensions of AI. Whether you're new to GANs or looking to deepen your knowledge with advanced techniques and ethical insights, this course provides the tools and understanding to apply generative AI effectively in real-world scenarios.Join us to master GANs, leverage complex models for innovative data generation, and gain practical, hands-on experience with detailed debugging and code explanations! Who this course is for: Aspiring Data Scientists and Machine Learning Engineers Python Developers with an Interest in AI Students and Professionals in Data Science or AI Researchers and Practitioners Anyone Curious About Generative AI Homepage https://www.udemy.com/course/mastering-generative-ai-with-pytorch-hands-on-experience/ Rapidgator https://rg.to/file/5d0fb632046d2369d56c8a6925aed272/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part1.rar.html https://rg.to/file/563b60f4bf32d64c861d39dc1d6ec0cc/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part2.rar.html https://rg.to/file/d7b75badfef1b243a4c47c9c74a0d14b/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part3.rar.html https://rg.to/file/1f6da602ac6b328fa3ec7d9046b4f858/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part4.rar.html https://rg.to/file/c4f37a7192fb9b1a2ae3ed710ba4271e/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part5.rar.html https://rg.to/file/2582616bf47daa172df9c9f89bff5e64/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part6.rar.html Fikper Free Download https://fikper.com/acjN4jaMQI/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part1.rar.html https://fikper.com/eo0qH69Kvo/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part2.rar.html https://fikper.com/4kr3RTWDEK/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part3.rar.html https://fikper.com/wTxg0cY9NJ/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part4.rar.html https://fikper.com/XNQac3qwHH/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part5.rar.html https://fikper.com/UbgesO0E5l/afrfu.Mastering.Generative.AI.with.PyTorch.Handson.Experience.part6.rar.html No Password - Links are Interchangeable

Free Download Generative AI for Small Business Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 21m | Size: 536 MB Master Generative AI: Automate Content, Optimize Marketing, and Boost Small Business Growth What you'll learn Understand the fundamentals of Generative AI and its key concepts Implement AI-driven content creation strategies for blogs, social media, and marketing Utilize AI tools to automate business operations and improve efficiency Develop a long-term AI strategy tailored to small business growth Requirements No prior AI knowledge is required. A basic understanding of business operations is beneficial. Description In today's fast-paced digital world, staying competitive means embracing cutting-edge technologies. This course is designed specifically for small business owners and entrepreneurs who want to tap into the transformative power of Generative AI. By doing so, you can drive growth, streamline operations, and significantly enhance your customer experiences.You'll begin with a comprehensive introduction to Generative AI, understanding what it is, how it distinguishes itself from other types of AI, and the profound impact it can have on your business. From there, we'll delve into practical, hands-on applications. You'll learn how to automate content creation processes, tailor your marketing strategies for greater personalization, and optimize your sales and inventory management to boost efficiency.Throughout the course, you'll gain valuable insights into selecting the right AI tools for your needs, overcoming common challenges associated with AI implementation, and preparing your business to thrive in an AI-driven future. Whether you're a complete novice or looking to refine your existing AI efforts, this course will provide you with actionable strategies and real-world examples that you can implement immediately.By the end of the course, you'll have a solid understanding of how to integrate AI into your business processes, making them more innovative, effective, and profitable. Join us to unlock the full potential of Generative AI and take your small business to the next level. Who this course is for Small business owners and entrepreneurs looking to leverage AI for growth. Marketing professionals interested in automating content and personalized marketing. Anyone curious about integrating AI tools into their business operations. Homepage https://www.udemy.com/course/generative-ai-for-small-business/ Rapidgator https://rg.to/file/52f4124c6188869b34daa6f70c2817d0/vytyu.Generative.AI.for.Small.Business.rar.html Fikper Free Download https://fikper.com/qY6wAKDFQj/vytyu.Generative.AI.for.Small.Business.rar.html No Password - Links are Interchangeable

Free Download Generative AI for Leaders by Eduardo Aponte R Published 9/2024 Created by Eduardo Aponte R. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 40m ) | Size: 933 MB Evolve your Leadership with the help of ChatGPT and Copilot: Innovation, decision-making, and productivity What you'll learn: You will understand the basic concepts of ChatGPT and Microsoft Copilot. You will learn to create effective prompts to optimize results. You will identify the functions and limitations of ChatGPT. You will implement Microsoft Copilot in your daily tasks. You will use AI to improve communication and decision-making. Requirements: No previous experience is necessary. Description: Welcome to the course "Generative AI for Leaders"! If you're looking to improve your leadership skills through the use of artificial intelligence and advanced tools, this course is specially designed for you. Throughout this program, we will guide you from a basic understanding of AI technologies to the implementation of advanced leadership strategies, supported by tools like ChatGPT and Microsoft Copilot.In Module 1: Introduction to ChatGPT and Copilot, you'll start with a detailed introduction to what these AI tools are and how they work. You will learn how to create effective prompts, understand the different versions of ChatGPT, its basic functions, and also its limitations. Additionally, you will delve into the first steps with Microsoft Copilot, exploring how this tool can optimize your daily tasks.Module 2: Fundamentals of Artificial Intelligence in Leadership will focus on how AI can transform your leadership style. You will discover how to use AI to improve effective communication, assist in decision-making, and lead technological innovation and change within your organization. We will also explore how ChatGPT can enhance your marketing efforts and discuss the importance of ethics in this digital age dominated by artificial intelligence.In Module 3: Microsoft 365 Integration with Copilot, you will delve into the integration of Microsoft Copilot with key tools like Word, Excel, and PowerPoint. You will learn how to use these integrations to improve productivity, optimize content creation, and enhance data analysis, enabling you to lead more effectively and efficiently.By the end of this course, you will have a deep understanding of how artificial intelligence, through tools like ChatGPT and Microsoft Copilot, can be a powerful ally in your leadership role. Our interactive and practical methodology ensures that you can immediately implement what you have learned in your professional life, elevating your leadership capabilities to a new level in this digital age. Join us and discover how to transform your leadership with the help of AI! Who this course is for: Managers looking to hone their leadership skills. People who want to increase their productivity at work. Homepage https://www.udemy.com/course/generative-ai-for-leaders-chatgpt/ Rapidgator https://rg.to/file/05868681a63a4efdd2f3e3c7853c8e3e/pdicr.Generative.AI.for.Leaders.by.Eduardo.Aponte.R..rar.html Fikper Free Download https://fikper.com/BL9uhV8bhz/pdicr.Generative.AI.for.Leaders.by.Eduardo.Aponte.R..rar.html No Password - Links are Interchangeable

Free Download AI vs. ML vs. DL vs. Generative AI - Master Basic Concepts Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 55m | Size: 686 MB Understanding Artificial Intelligence (AI), ML, DL, Generative AI: Key Concepts, Terminology, and Real-World Use Cases What you'll learn Learners will be able to clearly differentiate between these core technologies: Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Learners will explore real-world examples of how AI, ML, DL, and Generative AI are applied across various industries. Learners will understand the fundamental ideas behind AI, ML, DL, and Generative AI in an easy-to-grasp way. Learners will develop the ability to choose the right tool (AI, ML, DL, or Generative AI) based on the problem at hand. Requirements No prior experience with AI or programming required - This course is designed for beginners with an interest in AI, ML, DL, and Generative AI. A basic understanding of technology and curiosity to learn - Ideal for learners who have a general interest in how modern technology works. An internet-connected device - Learners will need access to a computer or mobile device. Willingness to explore new concepts - A mindset open to learning about emerging technologies. Description Hey, friends! Ever been curious about buzzwords like Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI, and how they connect to each other? These concepts are reshaping the future, but how do they actually connect and impact the world around us? Well, you're in the right place! I've dived deep into a sea of information, sifted through endless data, and brought it all together into a simple, high-level guide. You don't need a tech degree to grasp these exciting ideas-I've distilled them into bite-sized, easy-to-understand pieces. Whether you're a tech lover, a curious learner, or just someone intrigued by the amazing power of AI, this journey is packed with insights that will get you thinking, inspired, and ready to dive deeper!This isn't just another dull tech talk-my AI assistant Spark will sprinkle (or should I say sparkle) in some humor along the way! Get ready for an engaging journey that opens the door to understanding how AI is transforming industries, sparking creativity, and shaping everyday life. We'll explore real-world applications, industry trends, and future possibilities together. Buckle up for an exciting ride!By the end of this journey, you'll have a clear grasp of these technologies and how they're driving innovation. Let's dive in! Who this course is for Beginners curious about AI, ML, DL, and Generative AI - People with little to no prior knowledge who want to learn the basic concepts. Students and professionals exploring careers in technology - Individuals who are considering a career in tech or data science and want foundational knowledge. Business leaders and decision-makers - Professionals seeking to understand these technologies for strategic purposes in their industry. Anyone interested in the future of AI and emerging technologies - Lifelong learners who want to stay updated on the latest advancements in AI. Homepage https://www.udemy.com/course/ai-master-basic-concepts/ Rapidgator https://rg.to/file/ca6489c2e6588ea434a08038f9aedab3/kmhim.AI.vs..ML.vs..DL.vs..Generative.AI.Master.Basic.Concepts.rar.html Fikper Free Download https://fikper.com/rc5x4mOINf/kmhim.AI.vs..ML.vs..DL.vs..Generative.AI.Master.Basic.Concepts.rar.html No Password - Links are Interchangeable

Free Download AI Fundamentals From Basics to Generative AI Published 9/2024 Created by Vikram Bandugula MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 53 Lectures ( 1h 48m ) | Size: 525 MB Understand basic components of AI, journey to GenAI, Using LLMs like chatGPT, Claude for your daily task What you'll learn: Understand the basics of AI and Machine Learning (ML). Understand intuition behind ML techniques. Explore the exciting field of Generative AI Learn practical applications of Large Language Models (LLMs) After the course you will be able to Generate content, learn any language, generate images and will be able to have conversation about AI. Requirements: No Programming experience is needed, you will learn everything here. You don't need to have any AI background. We will teach you everything. Does not matter what job you have, these skill will help you Description: AI and GenAI have taken the world by storm, transforming how we work and live. Whether you view this as hype or a genuine shift, there's no denying the power and impact of these technologies. Companies are investing heavily in AI, creating a growing demand for individuals who understand and can leverage these tools. This course is your gateway to that world, offering a structured, bite-sized, and interactive learning experience. With quizzes, personal insights from 20 years of corporate experience in data science, and practical tips, you'll be in the top 10% of those who know how to use AI for personal and professional productivity. These added skills will set you on a path where you can build on these skills and continue to be leverage the advancements in AI for your personal growth and development. Regardless of your background, education, or career stage, geographical location this course is designed to meet you where you are and help you get started in AI. By investing in yourself through this course, you're making one of the best and most affordable investments of your life. The next time you are hanging out with your AI/IT friends or listening to news about AI, the hype of why Microsoft and NVIDIA are becoming so huge, you will be able to make those connections and show off your new skills. Welcome to the world of AI! Who this course is for: No AI or little AI background Anyone who wants to learn about GenAI, OpenAI Chatgpt or just want to up skill themselves. Homepage https://www.udemy.com/course/ai-fundamentals-from-basics-to-generative-ai/ Rapidgator https://rg.to/file/8073ea0addd8567cfd02015eeb406c9c/dogyo.AI.Fundamentals.From.Basics.to.Generative.AI.rar.html Fikper Free Download https://fikper.com/DQUd5iHqcv/dogyo.AI.Fundamentals.From.Basics.to.Generative.AI.rar.html No Password - Links are Interchangeable

Free Download Enhancing Cloud Security on Azure with Generative AI Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 110.28 MB | Duration: 19m 6s This course will teach you how to enhance cloud security on Azure by leveraging the capabilities of Azure AI generative tools and integrating them into existing threat protection, detection, and response processes supported by Azure-native... In today's rapidly evolving digital landscape, securing cloud environments is more critical than ever. This course focuses on enhancing cloud security on Azure by leveraging the cutting-edge capabilities of Azure AI generative tools. In this course, Enhancing Cloud Security on Azure with Generative AI, you'll be shown how to seamlessly integrate these advanced AI tools into existing threat protection, detection, and response processes, all supported by Azure-native security services. First, you'll explore how to prepare the environment to integrate Azure-native AI tools such as Azure AI Bot Service and Azure OpenAI Service to enhance protective measures from Azure Security Services. Next, you'll see these tools in action, detecting threats affecting Azure cloud workloads in a simulated cyberattack environment. Finally, you'll implement automated responses to these detected threats by integrating Azure Machine Learning Studio and Azure Logic Apps. When you finish this course, you'll have the fundamental skills and knowledge to effectively apply Azure generative AI tools to enhance the security of your Azure cloud environments. Homepage https://www.pluralsight.com/courses/enhancing-cloud-security-azure-generative-ai TakeFile https://takefile.link/8f236ehj5xuy/zvmtz.Enhancing.Cloud.Security.on.Azure.with.Generative.AI.rar.html Rapidgator https://rg.to/file/ccc564a0a751eadc2676b6bac4fcdde9/zvmtz.Enhancing.Cloud.Security.on.Azure.with.Generative.AI.rar.html Fikper Free Download https://fikper.com/wwNlqQkFKc/zvmtz.Enhancing.Cloud.Security.on.Azure.with.Generative.AI.rar.html No Password - Links are Interchangeable

pdf | 48.88 MB | English | Isbn:9781098160883 | Author: Kerrie Holley, Manish Mathur | Year: 2024 About ebook: LLMs and Generative AI for Healthcare: The Next Frontier https://rapidgator.net/file/a3f072f0dc073f65da94859492b0265e/ https://nitroflare.com/view/1502804AE3F2AE2/

Skillshare - Programming Graphics I: Introduction to Generative Art English | MP4 | AVC 1000kbps | 768x480 | 30fps | 6h 35mins | AAC stereo 128kbps | 5.03 Gb Genre: eLearning Generative art is all about using programming to generate artwork that is algorithmically defined and created. In this project-based class, you'll learn how to create your own series of patterns using generative art techniques and computer programming! What You'll Learn - How to setup your programming environment for making generative artwork. - An introduction to Processing and the HYPE Framework. With the HYPE Framework you'll be able to create work quicker and more effectively. - We'll start by drawing your shapes and preparing a bank of assets for you to use in your piece. These can be any sort of image that you have created. - Painting with HYPE using different variables to create and infinite range of possibilities. - Adding and controlling color throughout. - Using HGridLayout and HShapeLayout to create your final piece. These will give you ability to create grids and shapes with your assets. - How to output your files to Photoshop of Illustrator. You'll be able to manipulate and edit them to arrive at the final piece. DOWNLOAD http://rapidgator.net/file/04f3bd3af858979c190f4744842a0e77/fProgramming.part1.rar.html http://rapidgator.net/file/2ef7c58d48c079d3cd836323982cb165/fProgramming.part2.rar.html http://rapidgator.net/file/e6ac2836c35cfd86e9c6b634e8c7f016/fProgramming.part3.rar.html http://rapidgator.net/file/9ae841ac5fad86eb9b15d2db47ffe109/fProgramming.part4.rar.html http://rapidgator.net/file/7dc0e43b5db1519e07d838373c7e0873/fProgramming.part5.rar.html http://rapidgator.net/file/ae0861242a04bf864aebee6e933e7c15/fProgramming.part6.rar.html http://uploaded.net/file/19grqp7f/fProgramming.part1.rar http://uploaded.net/file/fprddwu1/fProgramming.part2.rar http://uploaded.net/file/pmou41bk/fProgramming.part3.rar http://uploaded.net/file/bb4v384m/fProgramming.part4.rar http://uploaded.net/file/nh99j07z/fProgramming.part5.rar http://uploaded.net/file/d1upyygs/fProgramming.part6.rar http://www.hitfile.net/NnN/fProgramming.part1.rar.html http://www.hitfile.net/Noa/fProgramming.part2.rar.html http://www.hitfile.net/Nkk/fProgramming.part3.rar.html http://www.hitfile.net/NlB/fProgramming.part4.rar.html http://www.hitfile.net/NlQ/fProgramming.part5.rar.html http://www.hitfile.net/Njr/fProgramming.part6.rar.html http://www.uploadable.ch/file/4ba8ER2ARKqh/fProgramming.part1.rar http://www.uploadable.ch/file/pv59j2VyqH7z/fProgramming.part2.rar http://www.uploadable.ch/file/eWp574PTEaTr/fProgramming.part3.rar http://www.uploadable.ch/file/nCmde6NYjvcy/fProgramming.part4.rar http://www.uploadable.ch/file/FUCez83X4pub/fProgramming.part5.rar http://www.uploadable.ch/file/wxc6VuGsYXjb/fProgramming.part6.rar