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Free Download Quantization for GenAI Models by Start-Tech Academy Published 10/2024 Created by Start-Tech Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 34m ) | Size: 807 MB Unlock the power of model optimization! Learn how to apply quantization and make your GenAI models efficient with Python What you'll learn Understand model optimization techniques: Pruning, Distillation, and Quantization Learn the basics of data types like FP32, FP16, BFloat16, and INT8 Master downcasting from FP32 to BF16 and FP32 to INT8 Learn the difference between symmetric and asymmetric quantization Implement quantization techniques in Python with real examples Apply quantization to make models more efficient and deployment-ready Gain practical skills to optimize models for edge devices and resource-constrained environments Requirements Basic Python knowledge is recommended, but no prior AI experience is required. Description If you are a developer, data scientist, or machine learning enthusiast who wants to optimize and deploy efficient AI models, this course is for you. Do you want to make your models faster and more resource-efficient while maintaining performance? Are you looking to learn how to apply quantization techniques for better model deployment? This course will teach you how to implement practical quantization techniques, making your models lean and deployable on edge devices.In this course, you will:Learn the core concepts of Quantization, Pruning, and Distillation.Understand different data types like FP32, FP16, BFloat16, and INT8.Explore how to convert FP32 to BF16 and INT8 for efficient model compression.Implement symmetric and asymmetric quantization in Python with real-world applications.Understand how to downcast model parameters from FP32 to INT8 for deployment.Gain hands-on experience with Python-based quantization, making your models suitable for mobile and IoT devices.Why learn quantization? Quantization allows you to reduce the size and computational load of models, making them suitable for resource-constrained devices like smartphones, IoT devices, and embedded systems. By mastering quantization, you can ensure your models are faster, more energy-efficient, and easier to deploy while maintaining accuracy.Throughout the course, you'll learn to implement quantization techniques and optimize your models for real-world applications. This course provides the perfect balance of theory and practical application for making machine learning models more efficient.By the end of the course, you'll have a deep understanding of quantization, and the ability to optimize and deploy efficient models on edge devices. Ready to optimize your AI models for efficiency and performance? Enroll now and start your journey! Who this course is for Beginners in machine learning looking to learn practical model optimization techniques like quantization AI professionals and students wanting to optimize models for deployment on resource-constrained devices Homepage https://www.udemy.com/course/quantization/ Screenshot Rapidgator https://rg.to/file/650f02e9b5b1ad8b23a1e82b4f7e0043/jdifw.Quantization.for.GenAI.Models.rar.html Fikper Free Download https://fikper.com/UD5gJmXWhS/jdifw.Quantization.for.GenAI.Models.rar.html No Password - Links are Interchangeable

Free Download Master Azure Artificial Intelligence (AI, ML, GenAI) Published 10/2024 Created by Freddy Ayala MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 39 Lectures ( 5h 20m ) | Size: 2.2 GB Become a Master of Azure AI Services (Speech, Visio, OpenAI, AI Studio, Promptflow) and Get Certified (AI-102) What you'll learn Navigate Azure's AI services to create smart app features. Apply AI with hands-on Azure-based projects. Implement generative AI for dynamic content. Deploy robust and scalable AI apps on Azure. Integrate their applications into an enterprise lanscape taking into account gouvernance and security Requirements Basic Programming Knowledge: Familiarity with a programming language, preferably C# or Python, used within Azure's context. Azure Fundamentals: An understanding of core Azure services and navigating the Azure portal. Development Environment: Access to a computer with internet connectivity, capable of running Azure's cloud services. Azure Subscription: While a free tier may be sufficient for starters, a paid subscription could be required for more advanced features. Description Embark on a journey to become a Microsoft AI Certified professional with our comprehensive course. Designed for aspiring Azure AI Engineers, this program equips you for the AI-102 certification while empowering you to build impactful AI solutions. Through hands-on learning, you'll master creating intelligent applications using Azure's powerful AI capabilities.What You'll Learn:Introduction to Azure and AI:Gain foundational knowledge of Azure and its AI services.Computer Vision Solutions:Develop image analysis, facial recognition, custom vision, and video analysis skills using Azure AI Vision.Natural Language Processing (NLP):Learn text analysis, translation, question answering, and conversational app building.Explore custom classification and speech recognition.Knowledge Mining:Create intelligent search solutions and knowledge stores using custom skills.Document Intelligence:Understand Azure's Document Intelligence Service with prebuilt and custom models.Generative AI with Azure OpenAI:Get started with Azure OpenAI Service and learn app development, prompt engineering, and data utilization.AI Studio:Explore AI Studio architecture, setup, deployment, and integration with Azure.PromptflowArchitecture and Security Best practicesCertification Preparation:Equip yourself with the skills needed for the Microsoft Certified: Azure AI Engineer Associate exam.Course Highlights:Azure AI-Centric Curriculum: Specialize in using Azure AI services for computer vision, NLP, knowledge mining, document intelligence, and generative AI.Interactive Labs: Gain hands-on experience with image analysis, language processing, and AI service deployment.Up-to-Date Learning: Prepare for the AI-102 certification with content updates reflecting current exam requirements.End-to-End Solution Development: Focus on building comprehensive and innovative AI applications.AI Studio Exploration: Delve into AI Studio architecture, setup, and deployment for creating intelligent solutions.Who This Course Is For:Developers aiming to build AI-driven applications using Azure AI.AI enthusiasts eager to deepen their Azure AI knowledge.Candidates for the Microsoft Certified: Azure AI Engineer Associate certification seeking hands-on learning.Prerequisites:Experience with Python programming.Basic understanding of Azure services.Your Instructor:Freddy is a well know worlwide Microsoft Subject Matter Experts skilled in AI technologies and Python that has contributed to the Microsoft AI Community. Here is a list of some of his contributions:Basic OpenAI end-to-end chat reference architectureBaseline OpenAI end-to-end chat reference architectureAzure OpenAI chat baseline architecture in an Azure landing zoneAI Studio End-to-End Baseline Reference ImplementationAnd many othersCertification Path:AI-102 Exam Preparation: Gain the knowledge needed to pass the Azure AI Engineer Associate exam.Skills You'll Develop:Planning and managing Azure AI solutions.Deploying services for complex decision-making.Building image recognition capabilities.Creating NLP-based chatbots and services.Engineering document intelligence solutions.Innovating with Python for generative AI.Course Outcome:Complete the course ready to pass the Microsoft Azure AI Engineer Associate exam, armed with the expertise to lead AI initiatives. Become proficient in driving AI projects and leveraging Azure and Python technologies.Enrollment:Enroll now to advance your career. Become a Microsoft AI Certified professional, bringing intelligent solutions to life. Sign up today and shape the future of AI application development. Who this course is for Software Developers: Enhance apps with Azure AI. Data Enthusiasts: Dive into AI model integration. IT Professionals: Master AI deployment on Azure. Recent Graduates: Begin your AI development journey. Tech-savvy Entrepreneurs: Innovate with AI features. Homepage https://www.udemy.com/course/master-azure-ai/ Screenshot Rapidgator https://rg.to/file/6acb3f7c5f7bf066feb3207fcaa9bdbd/pwnwp.rar.html Fikper Free Download https://fikper.com/QQEfMpaSSV/pwnwp.rar.html No Password - Links are Interchangeable

Free Download GenAI Fundamentals for UX Designers + Researchers Published 10/2024 Created by Joe Natoli MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 29 Lectures ( 2h 47m ) | Size: 3.12 GB Learn the key concepts and components to harness GenAI for UX design - and lead AI product innovation efforts. What you'll learn Learn core principles of responsible GenAI design that ensure our products serve all users equally + equitably. Success factors unique to Machine Learning (ML) products that UX + Product Designers and their teams should adopt Guidance on research to determine what kinds of problems are best solved by AI, and where human control should remain central. Determining when AI features are appropriate for users - and when they aren't Identifying when Automation (AI does the task for users) or Augmentation (help them do it better) is more appropriate. Designing the reward function and appropriately considering the balance between false positives and false negatives. Essential factors to consider when evaluating the reward function. How to weigh necessary, unavoidable tradeoffs between precision and recall, which is key to shaping an AI user experience. Designing for fairness and inclusion, from objectives to datasets to guidance on bias testing. Designing for generative variability: how do we present multiple, varied outputs to users - and how do we guide them in selecting the best one? Designing for multiple outputs: how do we help users filter and highlight differences between outputs? Designing for imperfections: how do we empower users to manage + mitigate imperfections and designing with contextual sensitivity? Designing for confidence: how do we design confidence scoring to properly evaluate output quality and increase user trust? Rules and examples for applying confidence scores. Designing for co-creation: how to we design co-creation processes where both the user and the AI can make adjustments? Designing for generic controls: using "temperature" to control the number of outputs and the degree of variability in those outputs. Designing for domain-specific controls, such as encoder-decoder models, semantic sliders and prompt engineering. Designing for prompt engineering: enabling and guiding users to effectively use multiple types of conversational prompts. Designing for exploration: incorporating flexibility, feedback, transparency and error handling/expectation management. Designing for choice, feedback, transparency + safety: centering users as active, empowered parti[beeep]nts in the creation process. Designing for mental models: orienting users to generative variability, teaching effective use and teaching the AI about the user. Designing for explanation, understanding + trust: providing clear rationales for outputs, using friction to curb over-reliance and showing imperfections. Designing against harm: understanding the critical ways irresponsible AI design can harm people. Designing against hazardous outputs: discrimination, exclusion, toxicity, misinformation, deep fakes, IP theft and more. Mitigating harm with a Value-Sensitive Design (VSD) process, integrated with an Agile or Lean development process. Requirements None. GenAI is stil extremely new to the world of UX, so this fundamentals course is meant to get you on solid ground fast, no matter your experience. Description Protect and grow your career: Learn to design GenAI-enabled productsThe UX and Product design landscape is evolving-and AI is leading the charge. If you're a designer, UXer, or product developer, you can't afford to be left behind. Generative AI is not just a buzzword; it's becoming the backbone of the next generation of user experiences. And without a deep understanding of how to design AI-powered products, your skill set risks becoming obsolete.This course is for you if you want to:Stay relevant in an industry that's rapidly integrating AI into every aspect of product development and feature sets.Be the asset your employer relies on-not the UXer or designer left off key projects because you lack the necessary skills.Lead the future of UX and design rather than have it dictated to you by engineers and product managers.Why you must start learning the fundamentals of GenAI product design nowAI isn't just an optional add-on anymore. It's the next fundamental shift in product design-just like when UX and UI became indispensable. Here's the reality:Employers want designers who understand how to design user-centered GenAI experiences that are useful, usable, valuable, and trustworthy. Without this skill, your job security and opportunities will shrink.Product improvement initiatives and AI integration projects are happening in every major company, from simple voice and chatbot interfaces to workflow-based conversational experiences. The people who know how to design these experiences are the ones who will be chosen for leadership roles.AI is the new frontier in UX and product design. Just as front-end coding knowledge became essential for UXers, understanding emerging design trends for GenAI - and how to design and evaluate AI-enabled products - is the next career progression.If you don't understand AI-enabled design, you won't be part of these key projects. Your value will diminish-both to your current employer and in the eyes of potential future employers.What you'll learn in this courseMaster the fundamentals of designing AI-powered productsLearn the principles that guide effective, responsible design for AI. I'll teach you the fundamental principles and approaches behind experiences that blend the power of AI with intuitive, human-centered design. From initial investigation and research to designing features, functionality and evaluation metrics to gauge usability and measure trust, I'll tackle all the core areas you need to know about.Why it matters: AI is about more than automation. It's about delivering useful and valuable user experiences that meet both user needs and business goals.Create ethical, trustworthy AI-driven productsI'll show you how to build AI products that users trust-and that won't perpetuate bias or misinformation. You'll learn the ethical considerations you need to think through and how to design with fairness and transparency in mind.Why it matters: Building trust is crucial in AI. Companies are investing in AI solutions that don't just work but are ethical and inclusive. Your ability to design these systems will set you apart.Understand the basics of designing for key GenAI attributes like generative variability and tradeoffs between precision and recall. Generative variability is the heart of GenAI. I'll walk you through two critical questions we, as UXers and designers, have to answer: (1) how do we present multiple, varied outputs to users and (2) how do we guide them in selecting the best one?As a UX or product designer, one of the key decisions you'll face when working with AI systems is how to balance precision and recall. I'll dig intot both concepts and walk you through how to design that balance appropriately.Why it matters: Generative variability is the heart of GenAI, and designing for it requires an approach that's very different from the products we typically tackle. In particular, precision and recall define how accurate and thorough your AI's results will be - and getting the balance right directly impacts UX and user trust.Turn AI into a business asset for your clients or employers Design AI systems that do more than just function-they deliver real business value. I'll teach you how to align AI-driven products with business objectives, ensuring that the user experience drives results.Why it matters: Your ability to create AI-enabled products that solve real business challenges will make you a valuable asset to your employer.Be a leader in AI-enabled UX and product designAs AI continues to reshape the design industry, you'll be equipped to lead AI-focused design projects, taking your career to the next level. No more waiting on engineers to explain AI to you. You'll be the one leading the collaborative charge to determine how AI best fits into product design.Why it matters: Leaders in this field don't wait for opportunities-they create them. Position yourself as a forward-thinking designer who is driving AI adoption and innovation.Who this course is for:New UX and Product Designers: If you're starting out and want to make your career trajectory more stable and secure, this course will give you the foundation to be an asset to your employer from day one.Experienced UXers, Product Designers and Product Developers: If you're already working in the industry and want to stay competitive and lead the next wave of innovation, this course will teach you how to begin integrating AI product design into your current design skill set - and to have informed, productive conversations with software engineers and data scientists on GenAI projects.I've included a massive GenAI UX workbook you can use on real-world projects.You can download and use this 164-page companion workbook to use both as practice and to help you through the process of designing for GenAI in your daily work as well. Use the guidance and 89 exercises across 22 mission-critical topics in GenAI design for any real-world GenAI projects that come your way - the exercises here are designed to help you through the process, from concept to execution. Who this course is for New UX and Product Designers: If you're starting out and want to make your career trajectory more stable and secure, this course will give you the foundation to be an asset to your employer from day one. Experienced UXers, Product Designers and Product Developers: If you're already working in the industry and want to stay competitive and lead the next wave of innovation, this course will teach you how to begin integrating AI product design into your current design skill set - and to have informed, productive conversations with software engineers and data scientists on GenAI projects. UX Researchers, UX Writers, Product Managers and anyone wondering what they need to know in order to play a role in designing GenAI-driven products. 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Free Download GenAI - Langchain for javascript developers Published 10/2024 Created by Amit Gupta MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 13m ) | Size: 1.62 GB Learn Generative AI and Langchain by building real life use cases in javascript/typescript What you'll learn Generative AI technology and building LLM powered applications Langchain with Javascript/Typescript using latest Langchain version Build RAG application using private data Build chatbot application using LLMs Working with different LLMs and LLM providers Langchain: LCEL, chains, retrievers, splitters, output parsers, chat memory, langsmith Solid understand of concepts: embeddings, vector databases, LLM parameters Requirements Basic JavaScript/Typescript knowledge, experience with Nodejs Basic software engineering concepts No machine learning experience is needed Description Welcome to the Generative AI Course for JavaScript Developers! This course is tailored specifically for JavaScript professionals ready to advance their careers in the rapidly growing field of generative AI. While AI and machine learning have traditionally been dominated by Python, generative AI has opened up new possibilities, allowing JavaScript developers to build high-quality, LLM powered applications.Who Should Take This Course? This course is designed for developers and architects with JavaScript and Node.js experience who are eager to build applications powered by large language models (LLMs). You'll learn how to use JavaScript with LangChain to create generative AI applications, mastering core concepts like RAG (retrieval-augmented generation), embeddings, vector databases, and more. By the end, you'll be equipped to develop robust generative AI applications.Course Journey: We start with setting up the development environment, creating basic applications to explore key frameworks. Then, we'll dive into advanced topics, building real-world applications with features like retrievable augmented generation and adding conversational layers with chat history.Key Topics Covered:LangChain with JavaScript/TypeScriptLLMs: Working with top providers like AWS Bedrock, OpenAI, and AnthropicPrompts & PromptTemplatesOutput ParsersChains: Including legacy chains and LCELLLM Parameters: Temp, Top-p, Top-kLangSmithEmbeddings & VectorStores (e.g., Pinecone)RAG (Retrieval Augmentation Generation)Tools: Web crawlers, document loaders, text splittersMemory & Chat HistoryThroughout the course, you'll engage in hands-on exercises and build real-world projects to reinforce each concept, ensuring a solid foundation in generative AI with JavaScript. By course completion, you'll be proficient in using LangChain to develop versatile, high-performance LLM applications.What's Included? This course is also a community experience. With lifetime access, you'll receive:GitHub repositories with complete course codeAccess to an exclusive Discord community for support and discussion on GenAI topicsFree updates and continuous improvements at no extra costDisclaimers:This is not a beginner course; software engineering experience and proficiency in JavaScript are assumed.We will be using the VSCode IDE (though any editor is welcome).Some LLM services may require payment, but we'll utilize free options whenever possible. Who this course is for Javascript developers and architects looking to advance their career with Generative AI technology Engineers that want to learn how to build Generative AI based applications with LangChain Homepage https://www.udemy.com/course/genai-langchain-for-javascript-developers/ Screenshot Rapidgator https://rg.to/file/1449164a6b104ebe0fd469ac8e66a622/blkrx.GenAI..Langchain.for.javascript.developers.part2.rar.html https://rg.to/file/c7b0bae4d7ad6b8599ad827467d9a0c8/blkrx.GenAI..Langchain.for.javascript.developers.part1.rar.html Fikper Free Download https://fikper.com/Xp6QDibeze/blkrx.GenAI..Langchain.for.javascript.developers.part2.rar.html https://fikper.com/sR5fMJ3nB3/blkrx.GenAI..Langchain.for.javascript.developers.part1.rar.html No Password - Links are Interchangeable

Free Download Cybersecurity Defense with GenAI Last updated 10/2024 Created by Dr. Amar Massoud MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 13 Lectures ( 1h 42m ) | Size: 607 MB Mastering Cybersecurity with GenAI: Automate Threat Detection, Response, and Security Operations What you'll learn Understand how to integrate GenAI into cybersecurity frameworks. Automate routine security tasks using Generative AI. Improve threat detection and response with GenAI. Enhance security posture through AI-driven vulnerability management. Requirements Basic understanding of cybersecurity concepts and practices is helpful but not required. Description Discover how Generative AI (GenAI) is revolutionizing cybersecurity in this comprehensive course. Designed for cybersecurity professionals, IT managers, and anyone interested in AI's role in security, this course will teach you how to leverage GenAI to automate and enhance your security operations.You'll learn how to integrate GenAI into existing security frameworks, improving threat detection and response times while automating routine security processes. By the end of the course, you'll understand how to optimize your security posture through AI-driven vulnerability management and real-time threat analysis. You'll also explore best practices for automating tasks like patch management, access control, and incident reporting to reduce manual workloads and minimize the risk of human error.With hands-on labs and practical examples, you'll gain the skills needed to implement GenAI in real-world security environments. Whether you're managing a small team or an enterprise-level operation, this course will equip you with the knowledge to enhance your organization's cybersecurity strategy.Key topics include GenAI for threat hunting, automating security reports, and managing security operations ticketing systems. This course is perfect for security analysts, IT leaders, and tech enthusiasts looking to stay ahead in the rapidly evolving field of cybersecurity.Enroll now to unlock the power of AI and take your cybersecurity operations to the next level with GenAI! Who this course is for Cybersecurity professionals looking to leverage AI for enhanced security operations. IT managers aiming to integrate GenAI into their security infrastructure. Security analysts interested in automating and optimizing security tasks. Anyone curious about how AI can transform cybersecurity practices. Homepage https://www.udemy.com/course/cybersecurity-defense-with-genai/ Screenshot Rapidgator https://rg.to/file/7de27cc0723cca962effc0cd3946eee9/nrxnr.rar.html Fikper Free Download https://fikper.com/q5Ub52fJ2H/nrxnr.rar.html No Password - Links are Interchangeable

Free Download Cybersecurity Defense with GenAI - Foundations & Fundamentals Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 36m | Size: 600 MB Learn how generative AI transforming cybersecurity defense with insights into AI-driven threat detection and response!! What you'll learn Introduction to Cybersecurity and AI Generative AI Fundamentals AI-Driven Threat Detection Automating Incident Response with AI Predictive Analytics in Cybersecurity AI-Based Vulnerability Management Ethical Considerations in AI-Driven Cybersecurity Case Studies: AI in Cyber Defense Future of AI in Cybersecurity Best Practices for Implementing AI in Cybersecurity Requirements There are no specific technical prerequisites, but a basic understanding of cybersecurity principles, IT infrastructure, and general AI concepts is helpful. Prior experience in IT security or cybersecurity roles will enhance the learning experience, though it's not mandatory for those with an interest in this field. Description Cybersecurity Defense with GenAI Fundamentals is a course that explores the intersection of artificial intelligence (AI) and cybersecurity. It introduces how generative AI (GenAI) can be used to bolster defense mechanisms against cyber threats, automate threat detection, and improve incident response strategies. The course covers the theoretical foundations of using AI in cybersecurity while providing insights into the evolving role of AI in protecting digital infrastructures.As cyber threats become increasingly sophisticated, traditional methods of defense are often insufficient. Generative AI has the potential to revolutionize cybersecurity by automating the detection of anomalies, predicting attack patterns, and responding to incidents in real-time. Understanding how to leverage AI for cybersecurity defense can significantly improve the resilience of organizations to attacks, making this knowledge crucial for IT and security professionals.Advantages of Learning Cybersecurity Defense with GenAI Fundamentals1. Enhanced Cyber Defense: Learn how AI can be used to proactively detect and mitigate threats.2. Automation of Cybersecurity Processes: Understand how AI automates routine tasks like threat detection, vulnerability scanning, and response automation.3. Predictive Analytics: Gain insights into how AI predicts future attacks and enhances defense strategies.4. Improved Incident Response: Discover how AI reduces the time and resources needed to respond to security incidents.5. Future-Proof Skills: Stay ahead of the curve by mastering cutting-edge technologies shaping the future of cybersecurity.This course focuses on theoretical concepts and foundations, and there will be no labs, technical configuration, or setup required. Who this course is for This course is ideal for cybersecurity professionals, IT security teams, and anyone in IT leadership roles who want to leverage generative AI to strengthen their organization's cybersecurity defenses. It is also suitable for AI enthusiasts looking to apply their knowledge to cybersecurity challenges. By learning the fundamentals of GenAI in cybersecurity, professionals can improve their threat mitigation skills and stay prepared for the future of cyber defense. Homepage https://www.udemy.com/course/cybersecurity-defense-with-genai-foundations-fundamentals/ Screenshot Rapidgator https://rg.to/file/e8bd99827a6d5c78b7a2da93bb8c4d2c/dilmf.Cybersecurity.Defense.with.GenAI.Foundations..Fundamentals.rar.html Fikper Free Download https://fikper.com/U7YZUWrPBl/dilmf.Cybersecurity.Defense.with.GenAI.Foundations..Fundamentals.rar.html No Password - Links are Interchangeable

Free Download Amazon Bedrock Unleash Genai Without Code 100% Drag & Drop Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.03 GB | Duration: 5h 57m Bedrock Studio, PartyRock, Prompt Flows, Agents - using different models like Claude Sonnet, Llama, Titan, Stability AI. What you'll learn Master the fundamentals of generative AI and its business applications Navigate the Amazon Bedrock console with confidence Generate high-quality written content using AI models Create custom images with AI using simple text prompts Build interactive chatbots and AI assistants without coding Customize AI outputs to match your brand voice and style Implement responsible AI practices and ethical considerations Integrate AI solutions into existing business workflows Evaluate and optimize AI performance for better results Complete hands-on, real-world AI projects using Amazon Bedrock Requirements Basic computer skills and familiarity with web browsers Access to a computer with a stable internet connection An AWS account No prior coding or programming experience required Basic understanding of cloud computing concepts (helpful but not mandatory) Familiarity with common business software and applications Enthusiasm to learn about AI and its practical applications Willingness to experiment with new technologies A business, creative, or personal project idea to apply AI concepts (optional) Description Course OverviewUnlock the potential of generative AI with Amazon Bedrock - no coding required! This course is designed for professionals, creatives, and enthusiasts who want to harness the power of advanced AI models without delving into complex programming. Learn to use Amazon Bedrock's user-friendly interface to create, customize, and deploy AI-powered solutions for various business and creative needs.What You'll LearnUnderstand the basics of generative AI and its applicationsNavigate the Amazon Bedrock console with easeUse pre-built AI models for text generation, summarization, and translationCreate stunning images with AI using simple promptsDevelop chatbots and conversational AI without codingCustomize AI outputs to suit your specific needsImplement best practices for responsible AI useIntegrate Bedrock-powered solutions into your workflowCourse ContentIntroduction to Generative AI and Amazon BedrockGetting Started with the Amazon Bedrock ConsoleExploring Available Foundation ModelsText Magic: Generation, Summarization, and TranslationVisual Creativity: AI Image Generation Made EasyBuilding Your Own AI AssistantCustomizing AI Outputs for Your BrandResponsible AI: Ethics and Best PracticesIntegrating Bedrock into Your Business WorkflowReal-world Use Cases and Practical ProjectsPrerequisitesBasic computer skillsNo coding experience requiredFamiliarity with AWS is helpful but not necessaryWho This Course is ForBusiness professionals seeking to implement AI solutionsContent creators looking to enhance their work with AIEntrepreneurs exploring AI-powered business ideasEducators interested in bringing AI into the classroomAnyone curious about using advanced AI without codingEmbark on your no-code AI journey with Amazon Bedrock and revolutionize the way you work, create, and innovate! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Content Lecture 3 Connect With Me!! Section 2: Playground - Explore & Relate Lecture 4 Introduction to Bedrock Lecture 5 PartyRock - Experience Bedrock like ChatGPT Lecture 6 Understanding UI Lecture 7 Enabling Model Access Lecture 8 Post Model Access Lecture 9 Using Chat Playground Lecture 10 Modifying Response with Prompts Lecture 11 Using Text Playground Lecture 12 Using Image Playground Section 3: Foundation Concepts Lecture 13 What is AI Lecture 14 What is Generative AI Lecture 15 Opportunities available in GenAI Lecture 16 AI, GenAI, ML, Deep Learning Relation Lecture 17 FM vs LLM Lecture 18 Retrieval Augmented Generation Lecture 19 Crawling and Indexing Lecture 20 Understanding Prompt Engineering Lecture 21 Types of Prompt Engineering Lecture 22 Bedrock Pricing Section 4: Configurations - Inference Parameters Lecture 23 Understanding Inference Parameters Lecture 24 Temperature Hands-On Lecture 25 Temperature Hands-On (II) Lecture 26 Top P Hands-On Lecture 27 Top P Hands-On (II) Lecture 28 Are Models Configurations always right? Lecture 29 Increase chances to get required results Lecture 30 Top K Hands-On Lecture 31 Most Probable Solution Hands-On Lecture 32 Additional Configurations Lecture 33 System Prompts Lecture 34 Maximum Length Lecture 35 Stop Sequence Section 5: Safeguards Lecture 36 Understandig Safeguards Lecture 37 Guardrails SetUp Lecture 38 Using Guardrails Lecture 39 Watermark Detection Section 6: Builder Tools Lecture 40 Understanding Builder Tools Lecture 41 Prompt Management Lecture 42 Knowledge Base - Using Root User Lecture 43 IAM Users & Roles Lecture 44 IAM Policy Lecture 45 Knowledge Base - Using IAM User Lecture 46 Understanding Agents Lecture 47 Agents Walkthrough Lecture 48 Creating Agents using Assistant Lecture 49 Defining Agents Manually Lecture 50 Adding Action Groups & Guardrails in Agents Lecture 51 Understanding Prompt Flow Lecture 52 Prompt Flow with KB Lecture 53 PromptFlow with Prompt Management Lecture 54 PromptFlow with Prompt Creation & KB Lecture 55 PromptFlow with Condition Lecture 56 PromptFlow to check eligibility to vote Section 7: Bedrock Studio SetUp Lecture 57 Understanding Bedrock Studio Lecture 58 IAM Organisation Lecture 59 IAM Identity Center Lecture 60 Adding User in Identity Center Lecture 61 Enabling User in Identity Center Lecture 62 Roles & Permissions required for Studio Lecture 63 Studio Workspace Creation Lecture 64 Assign Users to Workspace Section 8: Bedrock Studio - Chat App Lecture 65 Bedrock Studio Workspace UI Lecture 66 Initial Chat App Lecture 67 Guardrails with Chat App Lecture 68 Editing Guardrails in Chat App Lecture 69 Using Knowledge Base in Chat App Lecture 70 Solution of Size Error in Chat App Section 9: Bedrock Studio - Prompt Flow App Lecture 71 Project Isolation Lecture 72 Basic Prompt Flow App Lecture 73 Flow App with KB & prompts Lecture 74 Prompt Flow with Conditions Section 10: Choosing the right FM Lecture 75 Why right FM is necessity? Lecture 76 Criteria for choosing right FM Lecture 77 Model Evaluation Lecture 78 Different Models Functionality Business professionals seeking to implement AI solutions without coding,Entrepreneurs and small business owners looking to leverage AI capabilities,Marketing and content creators wanting to enhance their work with AI tools,Product managers interested in integrating AI features into their offerings,Customer service managers aiming to implement AI-powered chatbots,HR professionals looking to streamline processes with AI assistance,Educators and trainers curious about incorporating AI in their teaching methods,Consultants and advisors wanting to understand AI for client recommendations,Digital transformation specialists guiding AI adoption in organizations,Non-technical innovators with ideas for AI applications,Professionals in any field interested in staying current with AI trends,Anyone curious about AI who wants a hands-on, no-code learning experience Screenshot Homepage https://www.udemy.com/course/amazon-bedrock-unleash-genai-without-code-100-drag-drop/ Rapidgator https://rg.to/file/03515d0dfc4c33e4d60ef2ede99d5bb6/ukfpw.Amazon.Bedrock.Unleash.Genai.Without.Code.100.Drag..Drop.part1.rar.html https://rg.to/file/42c69f51fa30608d71cc633fda0715c2/ukfpw.Amazon.Bedrock.Unleash.Genai.Without.Code.100.Drag..Drop.part2.rar.html Fikper Free Download https://fikper.com/cG9ZA317JK/ukfpw.Amazon.Bedrock.Unleash.Genai.Without.Code.100.Drag..Drop.part1.rar.html https://fikper.com/vZS4FlGyr5/ukfpw.Amazon.Bedrock.Unleash.Genai.Without.Code.100.Drag..Drop.part2.rar.html No Password - Links are Interchangeable

Free Download 30 Days Of Genai Mastery Elevate Your Work & Life With Ai T Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.72 GB | Duration: 2h 39m ChatGPT, Midjourney, DALL-E, Leonardo, HeyGen, Suno, Microsoft Copilot, Gemini, Runway and more! What you'll learn How to use ChatGPT, Microsoft Copilot and Gemini for content generation How to generate images with Midjourney, DALL-E, OpenArt, etc Video generation with Pika, Runway AI avatar creation with HeyGen, Elai, HourOne and more Song generation with Suno And much more! Requirements There are no special requirements for taking this course except your desire to enhance your work/daily routine with powerful GenAI tools. Description "I never imagined GenAI could make such a difference in my work! Each tool introduced in this course is easy to understand, and the practical examples have saved me hours of effort!"- Paul, Marketing Specialist30 Days of GenAI Mastery: Elevate Your Work & Life with AI Tools is designed specifically for you! We know how valuable your time is, so:- Daily lessons that take just a few minutes to complete- Short, actionable videos that help you master Generative AI tools effortlessly- Lifetime access to content, with continuous updates as GenAI evolves- Expert support on the most impactful tools in the AI space todayEnroll now and gain access to tools that will save you time and help you unlock new levels of creativity and productivity!What You'll Learn in This Course:- Create engaging content using AI-powered tools for text, images, video, and more- Automate tedious tasks to boost your productivity- Use top GenAI tools like Gemini, ChatGPT, DALL-E, Midjourney, Leonardo, and more- Explore advanced techniques to generate creative ideas for your work and projects- Use Generative AI to enhance your social media, marketing, design, and everyday tasksWhat's Included:- 30 daily lessons introducing you to the most cutting-edge AI tools- Hands-on tutorials and real-life examples to solidify your understanding- Step-by-step guides on using GenAI for everything from creating content to streamlining workflowsThis Course is Perfect for:- Creatives, entrepreneurs, and professionals looking to stay ahead of the curve- Business owners eager to boost efficiency and productivity- Digital marketers and social media managers who want to create engaging content faster- Anyone curious about the power of Generative AI and how it can transform their lifeGet Started Now and start seeing the transformative effects of AI in your work and life. Don't miss the opportunity to master these game-changing tools and elevate your potential!Join today and unlock the future of GenAI-driven productivity and creativity!Do you need to be concerned?This course comes with a 30-day money-back guarantee.See you in the first lecture! Overview Section 1: Introduction to the Course Lecture 1 Introduction Lecture 2 How to Study on Udemy Section 2: First Week of GenAI Lecture 3 Introduction to ChatGPT Lecture 4 ChatGPT Life Hacks Lecture 5 A step-by-step guide to creating your own GPT's Lecture 6 ChatGPT for Self-education & Personal Growth Lecture 7 Introduction to Microsoft Copilot Lecture 8 Use of Google Gemini and Google Workspace Lecture 9 Visual Content with DALL-E Section 3: Second Week of GenAI Lecture 10 Getting Started with Midjourney Lecture 11 Midjourney's interface, features, and settings Lecture 12 Other Midjourney features Lecture 13 Generating images with OpenArt Lecture 14 AI Powered Social Media Content with Stockimg Lecture 15 Portrait Generation with Picsi Lecture 16 Techniques for video content creation Section 4: Third Week of GenAI Lecture 17 Video Creation with Pika Lecture 18 Video Creation with Runway Lecture 19 Your First Avatar with HeyGen Lecture 20 Elai for Avatars generation Lecture 21 AI Avatar Creation with HourOne AI Lecture 22 Audio Content Creation with Suno Lecture 23 Introduction to Leonardo Section 5: Fourth Week of GenAI Lecture 24 Using PhotoRoom and Flair for product photography Lecture 25 Convert Audio and Video into Text with Cockatoo Lecture 26 Streamling Content Creation with Simplified AI Lecture 27 Gamma.app for presentation generation Lecture 28 Upgrade Your Ads Creation with AdCreative.ai Lecture 29 AI Image Editing with Remove.bg Section 6: Final section Lecture 30 Summary Lecture 31 How to leave a review Lecture 32 How to get a certificate Anyone who knows how to use AI but wants to enhance their knowledge.,Everybody who is curious about learning new GenAI tools and how to integrate them into daily tasks.,Digital marketers, content creators, social media marketers, and other professionals who want to leverage AI to elevate their work. 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Free Download GenAI World - LLM, Fine-tuning, RAG & Prompt engineering Published 10/2024 Created by Rabbitt Learning MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 42m ) | Size: 561 MB The single source of truth What you'll learn: Understand the fundamentals of prompting in the context of large language models (LLMs). Learn the importance of prompt engineering for optimizing model perform Explore advanced concepts like Direct Preference Optimization (DPO) and Parameter-Efficient Fine-Tuning (PEFT). Gain insights into Retrieval Augmented Generation (RAG), understanding its components and how it enhances LLM capabilities. Requirements: Yes, students should have: A foundational understanding of artificial intelligence and machine learning concepts, especially related to language models. Proficiency in Python programming, as the course includes detailed code examples and exercises. Familiarity with deep learning frameworks. Basic knowledge of natural language processing (NLP) and transformer models. Access to necessary computational resources, such as a GPU-enabled environment. Description: This course covers everything from Large Language Models (LLMs), prompt engineering to parameter-efficient fine-tuning (PEFT) and advanced concepts like Direct Preference Optimization (DPO). You'll also dive deep into Retrieval Augmented Generation (RAG) to enhance your LLMs' capabilities by integrating retrieval systems for superior responses.By the end of this course, you'll be equipped to create AI solutions that align perfectly with human intent and outperform standard models. What You'll Learn:Craft powerful and effective prompts for LLMs to optimize outputs.Master Direct Preference Optimization (DPO) and PEFT for domain-specific fine-tuning.Implement Retrieval Augmented Generation (RAG) to elevate model performance.Gain insights into state-of-the-art LLM capabilities, focusing on practical and advanced techniques.Develop customized solutions with hands-on code examples and exercises. What you will Get A foundational understanding of artificial intelligence and machine learning concepts, especially related to language models. Proficiency in Python programming, as the course includes detailed code examples and exercises. Familiarity with deep learning frameworks. Basic knowledge of natural language processing (NLP) and transformer models. Access to necessary computational resources, such as a GPU-enabled environment. In addition to the core topics, our course also features real-world case studies on fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG). These case studies offer practical, hands-on insights into how these techniques are applied in real AI projects .These case studies provide a practical framework for applying the theoretical concepts covered in the course, helping learners implement these methods in their own projects. Who this course is for: This course is ideal for: Machine learning engineers and data scientists looking to enhance their skills in fine-tuning large language models. AI researchers and practitioners interested in advanced techniques like RAG, PEFT, and QLoRA. Developers and programmers aiming to implement AI solutions that require domain-specific model customization. Students and academics studying artificial intelligence, machine learning, or natural language processing. Anyone interested in state-of-the-art AI technologies and how to apply them effectively in real-world scenarios. Homepage https://www.udemy.com/course/genai-world-llm-fine-tuning-rag-prompt-engineering/ Rapidgator https://rg.to/file/f59fdf8623032aa4f829304a12fe9127/nonlu.GenAI.World..LLM.Finetuning.RAG..Prompt.engineering.rar.html Fikper Free Download https://fikper.com/Tb2IRzSxjq/nonlu.GenAI.World..LLM.Finetuning.RAG..Prompt.engineering.rar.html No Password - Links are Interchangeable

Free Download GenAI Cybersecurity and Ethical Hacking - Zero to Hero Pro Published 9/2024 Created by Paul Carlo Tordecilla MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 111 Lectures ( 7h 30m ) | Size: 4.11 GB Transform into a Cybersecurity Expert with Hands-On Training in Ethical Hacking, AI, and Machine Learning What you'll learn: Students enrolled in this course will gain a comprehensive understanding of cybersecurity and IT security fundamentals. They will learn strategies to protect against hackers and prevent hacking attempts. They will delve into IT security and information security (INFOSEC). Students will develop robust cybersecurity defense strategies. The course covers networking basics and their crucial role in cybersecurity. Learners will explore ethical hacking techniques, starting from a beginner's perspective. They will progress to mastery of Kali Linux command line essentials. They will learn how to conduct information gathering, reconnaissance, and vulnerability analysis. Students will explore exploit techniques and engage in hands-on exploitation using the Metasploit Framework. Advanced security measures such as password attacks, wireless security, and web application security are integral parts of the curriculum. Students will learn automated web vulnerability scanning and social engineering. The course delves into the integration of artificial intelligence into cybersecurity strategies. It covers topics like cybersecurity with Generative AI and OpenAI. Students will utilize Python for cybersecurity applications. They will master threat detection and response with GenAI. Practical experience with tools like Splunk is provided. Techniques for anonymous browsing and privacy protection are taught. Through hands-on projects, students will develop an AI hacking tool. They will perform packet analysis and encryption. Students will build an AI-powered Windows Event Log Analyzer with OpenAI integration and machine learning. Requirements: To take this course, students should have basic computer knowledge. They should be familiar with using a computer and navigating operating systems. An understanding of basic networking concepts is helpful but not mandatory. A computer running Windows, macOS, or Linux with internet access is required. Students should be able to install software such as Kali Linux, Python, and other tools discussed in the course. No prior experience in cybersecurity or programming is necessary. A willingness to engage in hands-on projects and practical exercises is essential. Students should have an open mind and a keen interest in learning about both defensive and ethical hacking techniques. Description: Are you prepared for that transformative journey into the world of cybersecurity and ethical hacking? "GenAI Cybersecurity and Ethical Hacking: Zero to Hero Pro " is a comprehensive learning course, with state-of-the-art tools that will surely wake up your cybersecurity master ship skills in today's rapidly evolving digital landscape.We start from square one and take you through the absolute basics of networking, IT security, and INFOSEC. We understand how to counter hackers and prevent hacking attempts with our discussion on cybersecurity defense strategies. As we continue, we will then dive into actual hacking techniques into information gathering, reconnaissance, vulnerability analysis, and various forms of exploitation using tools like Kali Linux and the Metasploit Framework.It deals with leading-edge technologies, focusing on artificial intelligence and machine learning in revolutionizing cybersecurity. In this program, you have the opportunity to go deep into topics such as Cybersecurity with Generative AI and OpenAI and learn how to implement threat detection and response capabilities using GenAI. You would be working on real-world projects; these include developing an AI hacking tool, packet analysis, and encryption, along with building an AI-powered Windows Event Log Analyzer by integrating OpenAI.Instead, the course will focus more on the development of students' skills in anonymous browsing, protection of privacy, password attack, wireless security, web application security, and also social engineering. Learn Splunk in the best way with hands-on experience: Automate web vulnerability scanning and stay ahead of the curve of potential threats.By the end of this course, you will be equipped with a full-scale skill set that covers the traditional cybersecurity approach along with innovative AI-driven approaches. This would be the opening to become a guardian of the digital world for those who are either entering a career or are upgrading their knowledge.Enroll now and step closer to GenAI Cybersecurity and Ethical Hacking: Zero to Hero Pro! Who this course is for: This course is ideal for beginners and aspiring professionals who are new to cybersecurity and ethical hacking and wish to start a career in this dynamic field. It is suitable for students and enthusiasts eager to learn about both the fundamentals and advanced topics in cybersecurity. IT professionals, including network administrators and system administrators looking to enhance their cybersecurity skills, will find this course valuable. Security professionals seeking to update their knowledge with the latest AI-powered tools and techniques are encouraged to enroll. The course is beneficial for ethical hackers and security enthusiasts aiming to expand their toolkit with AI and machine learning applications. It is also for anyone interested in understanding the operation of cyber threats and how to defend against them. Additionally, AI and machine learning enthusiasts curious about the intersection of these technologies with cybersecurity will greatly benefit from this course. Professionals looking to apply AI and machine learning concepts to real-world security challenges will also find this course valuable. 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Free Download Mastering Genai - Fine-Tune & Adapt Llms Effectively Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1006.46 MB | Duration: 1h 7m Harness Advanced Techniques in AI: From Fine-Tuning to Ethical Deployment and Optimization What you'll learn Understand and describe the architecture of Generative AI models like GPT and BERT. Apply fine-tuning methods to adapt LLMs to specific tasks and industries. Evaluate and optimize LLM performance through advanced techniques Implement ethical guidelines and best practices in the deployment of GenAI models Requirements Basic understanding of AI concepts and terminology; no advanced technical skills required. Familiarity with Python programming to follow along with coding demos and exercises. Description Explore the cutting-edge field of Generative AI with our course, 'Mastering GenAI: Fine-Tune & Adapt LLMs Effectively.' Designed for professionals and enthusiasts alike, this course offers a deep dive into the mechanisms of large language models such as GPT and BERT. You'll learn how to fine-tune these models to meet specific requirements, ensuring they perform optimally across various industries.Through a mix of theoretical insights and practical exercises, parti[beeep]nts will explore different fine-tuning techniques including supervised, unsupervised, and reinforcement learning methods. The course will also address the critical aspects of model optimization, such as hyperparameter tuning and avoiding overfitting, to enhance both efficiency and accuracy.A significant focus will be on the ethical deployment of these technologies. You'll learn to navigate the complexities of AI ethics, ensuring your AI solutions are fair and equitable. This course will prepare you to effectively adapt and deploy AI models, making you a valuable asset in any tech-driven industry.By the end of this course, parti[beeep]nts will not only understand the theoretical underpinnings of generative AI but also be proficient in implementing and optimizing these models in a practical, ethical, and efficient manner. Whether you're looking to innovate within your organization, kickstart a career in AI, or academically explore AI technologies, this course will serve as a vital stepping stone to achieving those goals. Overview Section 1: Introduction Lecture 1 What is Gen AI ? Lecture 2 What are LLMs ? Section 2: Real-world Large Language Models Lecture 3 Decision Making: Build, Purchase, or Enhance Lecture 4 Introduction to Zero-shot Classification Lecture 5 Demonstrating a Proof of Concept Lecture 6 Essentials of Training and Fine-tuning Section 3: Fine-tuning Techniques for LLMs Lecture 7 Training and Fine-tuning Lecture 8 Supervised Fine-tuning vs. Parameter Efficient Fine-tunin Lecture 9 Approaches to Fine-tuning Lecture 10 Reinforcement learning from human feedback This course is ideal for AI enthusiasts, data scientists, and developers interested in extending their expertise into the realm of fine-tuning and adapting large language models,Suitable for IT professionals looking to leverage GenAI for improving business processes and creating innovative solutions.,Perfect for academic researchers and students in computer science who want practical experience with state-of-the-art AI technologies.,Security architects and engineers who aim to understand the cybersecurity implications of deploying generative AI models in their operations. Homepage https://www.udemy.com/course/fine-tuning-and-adapting-genai-models/ Rapidgator https://rg.to/file/67d204c8d2478aefbe5e4b8e60c55482/ezmxr.Mastering.Genai.FineTune..Adapt.Llms.Effectively.part1.rar.html https://rg.to/file/63884c75c2442f161a951af07e9588ef/ezmxr.Mastering.Genai.FineTune..Adapt.Llms.Effectively.part2.rar.html Fikper Free Download https://fikper.com/8vPTUwz27k/ezmxr.Mastering.Genai.FineTune..Adapt.Llms.Effectively.part1.rar.html https://fikper.com/kXOripHkgH/ezmxr.Mastering.Genai.FineTune..Adapt.Llms.Effectively.part2.rar.html No Password - Links are Interchangeable

Free Download GenAI and Predictive AI Architecture Foundations Released: 09/2024 Duration: 1h 16m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 157 MB Level: Intermediate | Genre: eLearning | Language: English Get a clear understanding of how AI solutions actually work, starting with their basic architectures and advancing to system components and architectural differences between generative AI and predictive AI systems. Join LinkedIn Top Voice and best-selling author Thomas Erl as he breaks down and explains, in plain English, the foundational building blocks and the primary moving parts behind contemporary AI solution environments. This course provides genuine insight into how AI systems function in the real world, and is essential for professionals already working with application and enterprise architectures, as well as professionals in the AI and data science fields. Homepage https://www.linkedin.com/learning/genai-and-predictive-ai-architecture-foundations?u=121350530 TakeFile https://takefile.link/ng378cbfiiuv/wmlwn.GenAI.and.Predictive.AI.Architecture.Foundations.rar.html Rapidgator https://rg.to/file/96dcdb1f7b91625374811c94b2392617/wmlwn.GenAI.and.Predictive.AI.Architecture.Foundations.rar.html No Password - Links are Interchangeable

Free Download [NEW] GitHub Copilot - Use GenAI to Write Terraform For You! Published 9/2024 Created by Bryan Krausen • 130,000+ Enrollments Worldwide MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 44m ) | Size: 1.64 GB Increase Your Productivity! Leverage GenAI to Write and Optimize Your HashiCorp Terraform Code with GitHub Copilot What you'll learn: Use GitHub Copilot for developing Terraform code, leveraging GenAI capabilities effectively. Accelerate your Terraform development cycles by utilizing GitHub Copilot to generate and optimize infrastructure-as-code (IaC) scripts Improve code quality and consistency through automated suggestions and templates provided by GitHub Copilot Learn techniques to troubleshoot and customize GitHub Copilot's suggestions to better align with specific project requirements and best practices in Terraform d Requirements: Familiarity with the basics of Terraform, including understanding resources, providers, variables, and state management. An active GitHub account is necessary to access GitHub Copilot and to practice code examples provided in the course Familiarity with using a text editor or integrated development environment (IDE) of choice (e.g., VS Code) to edit and manage code files Description: Are you ready to supercharge your HashiCorp Terraform coding with the power of AI? Welcome to the course that will revolutionize the way you approach Infrastructure as Code (IaC) in your DevOps workflow.Imagine having an AI-powered coding assistant that understands HashiCorp Terraform as well as you do, helping you quickly write, optimize, and troubleshoot your infrastructure configurations. That's exactly what GitHub Copilot offers, and in this course, you'll learn how to unlock its full potential.Throughout this course, we'll build complex environments using AWS, using only FREE resources so you can learn without incurring any costs. All skills and concepts can easily be used to build any environment you need and you can even provision resources on other public clouds using the same workflows.Throughout the course, we'll learn and master topics such as:Getting you up to speed with GitHub CopilotShowing you how to integrate this game-changing tool into your existing Terraform and DevOps workflowsUnderstanding how Copilot can help you write Terraform code (HCL) faster, with fewer errors, and more confidenceLearning how to navigate the nuances of AI-generated code, ensuring it's not only functional but also secure and efficient for your infrastructure needs.You'll learn how to develop new code, improve existing code, and even prepare your environment to take advantage of GitHub Copilot.But this course isn't just about learning the tool-it's about transforming the way you work. You'll explore real-world scenarios where Copilot can be your secret weapon, turning tedious coding tasks into quick wins. Whether you're managing cloud infrastructure, automating deployments, or simply looking to improve your Terraform skills, this course is designed to give you the edge in the fast-paced world of DevOps.By the end of this course, you won't just be proficient with GitHub Copilot; you'll be a Terraform powerhouse, capable of leveraging AI to streamline your DevOps processes and deliver results faster than ever before.Don't miss out on this opportunity to elevate your Terraform and DevOps skills-enroll today and take your coding to the next level with GitHub Copilot! Who this course is for: Professionals looking to streamline and automate their Terraform workflow using advanced AI tools like GitHub Copilot Developers interested in enhancing their Terraform skills and leveraging AI-driven assistance to write efficient infrastructure code Individuals responsible for designing and managing cloud infrastructure, seeking to adopt AI technologies for faster and more reliable Terraform deployments Homepage https://www.udemy.com/course/githubcopilot/ Rapidgator https://rg.to/file/4049426a807e13c8d87e674b5ba4b601/urfgj.NEW.GitHub.Copilot.Use.GenAI.to.Write.Terraform.For.You.part1.rar.html https://rg.to/file/06b494a87e2bf69c1ed3615fd14ea71d/urfgj.NEW.GitHub.Copilot.Use.GenAI.to.Write.Terraform.For.You.part2.rar.html Fikper Free Download https://fikper.com/5CKStp0IuW/urfgj.NEW.GitHub.Copilot.Use.GenAI.to.Write.Terraform.For.You.part1.rar.html https://fikper.com/EzJcp7OVfd/urfgj.NEW.GitHub.Copilot.Use.GenAI.to.Write.Terraform.For.You.part2.rar.html No Password - Links are Interchangeable

Free Download GenAI Application Architecture - Scalable & Secure AI Design Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 40m | Size: 2.51 GB Build scalable, secure, and efficient GenAI applications with AWS, MLOps, monitoring, and cloud-native architecture What you'll learn Design Scalable GenAI Applications: Learn to architect and build scalable GenAI applications using the LGPL architecture, focusing on Layer, Gate, Pipes Implement Resiliency and Error Handling: Understand how to incorporate error handling, monitoring, logging, and disaster recovery to create resilient GenAI Apps Ensure Security and Cost Efficiency: Develop secure and cost-effective GenAI solutions by leveraging AWS security services, containerization Automate and Optimize with MLOps & CI/CD: Learn to implement MLOps, CI/CD, and Explainable AI (XAI) for streamlined deployment and future-proofing GenAI apps Requirements Basic Knowledge of AI and Machine Learning: Understanding of fundamental AI and machine learning concepts. Familiarity with AWS: Experience with AWS services such as Lambda, S3, and DynamoDB is recommended. Programming Skills: Intermediate-level knowledge of Python is essential. Basic Understanding of Software Architecture: Familiarity with software architecture principles such as scalability, load balancing, and error handling. Description Master the essential techniques and best practices for designing and architecting scalable, secure, and cost-effective Generative AI (GenAI) applications. In this course, you'll explore the principles of the LGPL architecture (Layers, Gates, Pipes, and Loops) and how they apply to building GenAI systems using modern cloud services like AWS. We'll cover critical topics such as load balancing, containerization, error handling, monitoring, logging, and disaster recovery. This course is ideal for those looking to understand GenAI architecture, ensuring applications are resilient, secure, and efficient.What You'll Learn:Architect scalable and secure GenAI applications using the LGPL model.Understand core concepts such as containerization, load balancing, and disaster recovery.Learn best practices for monitoring, logging, and error handling in GenAI systems.Explore MLOps, CI/CD, and security strategies for future-proofing AI applications.This course focuses on the architecture and principles behind building robust GenAI systems, providing the knowledge needed to design effective AI solutions.Enroll now to transform your GenAI Application Architecture skills to the next level. Master GenAI Application Architecture - the core best practices and techniques for building secure, efficient, scalable GenAI Applications.Ready to take your skills to the next level? Join me, and let's get started. See you inside the course! Who this course is for AI Developers and Engineers: Those looking to build scalable, secure, and cost-effective GenAI applications. Cloud Architects: Professionals working with AWS who want to implement GenAI architectures using best practices. Machine Learning Enthusiasts: Individuals with a foundational understanding of machine learning and programming who want to expand into GenAI development. Software Engineers: Engineers seeking to integrate AI into cloud-native applications and implement MLOps pipelines Homepage https://www.udemy.com/course/genai-application-architecture/ Rapidgator https://rg.to/file/eb0dab6db8b173a5e31e2c1124e05cb1/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part1.rar.html https://rg.to/file/a15457d993ba63048e481b780ea9f7a6/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part2.rar.html https://rg.to/file/ce1437543d5df735599d92cd55596194/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part3.rar.html Fikper Free Download https://fikper.com/kOled1XDOx/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part1.rar.html https://fikper.com/5kl1QK2FDE/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part2.rar.html https://fikper.com/sW8thybbOP/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part3.rar.html No Password - Links are Interchangeable