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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 Amazon Bedrock & AWS Generative AI - Ultimate Hands-on Published 9/2024 Created by Cloud Guru Amit | 2X AWS | 16X Microsoft CERTIFIED MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 23 Lectures ( 5h 5m ) | Size: 2.24 GB Build a Chatbot, Analyze Social Media Sentiments,Face Recognition app with Amazon Bedrock. NO CODING EXPERIENCE REQUIRED What you'll learn: Learn fundamentals about AI, Machine Learning and Artificial Neural Networks. Amazon Bedrock - Detailed Console Walkthough, Bedrock Architecture. Learn how Generative AI works and deep dive into Foundation Models. Project 1: Unlocking Creativity: Hands-On with Amazon Bedrock Text Playground. Project 2: Mastering Conversations: Hands-On with Amazon Bedrock Chat Playground. Project 3: Creating Stunning Visuals: Hands-On with Amazon Bedrock Image Playground Project 4: Image Analysis: Hands-On with Amazon Rekognition and AWS Lambda. Project 5: Building Smart Chatbots: Hands-On with Amazon Bedrock and Amazon Lex. Project 6: Unlocking Sentiments: Hands-On with Amazon Bedrock AI21 Labs Model Project 7: Transforming Text to Art: Hands-On with Amazon Bedrock's Stable Diffusion XL. Project 8: Decoding Social Media: Sentiment Analysis with Amazon Comprehend Project 9: From Pen to Pixel: Extracting Handwritten Text with Amazon Textract Project 10: Mastering Data Preprocessing with Amazon SageMaker: From Raw Data to Training & Testing Sets Project 11: Creating a Powerful Custom Knowledge Base with Amazon Bedrock: Step-by-Step Guide Project 12: Transforming Text Files into CSV & JSON with Amazon Bedrock: A Comprehensive Guide Project 13: Log Analysis, Invoicing, and Sentiment Analysis with Amazon Bedrock & Cloud9 Project 14: Safeguarding AI: Blocking Hate Speech, Violence, and Insults with Amazon Bedrock Guardrails Project 15: Unveiling the Hidden: Detecting Invisible Watermarks with Amazon Bedrock Project 16: Save Cost on ML Training : Master Managed Spot Training with Amazon SageMaker XGBoost Project 17: Build Real Estate / Photography Business Web App using Generative AI Project 18: Building Customer Shopping Order System using Amazon Transcribe Project 19: Amazon Bedrock Agents | Automate Tasks with AI! Project 20: Building Cybersecurity Face Recognition Web Application Project 21 : Building Highly Available Chat Bot Web App using Docker Project 22: Revolutionizing Image Understanding with Anthropic Bedrock & Streamlit Project 23: Building Employee Knowledge Base Search Tool Requirements: There are no course pre-requisites for this course except basic AWS and Python Knowledge. Description: Amazon Bedrock and GenAI Course :***Hands - On End-to-End Architecture Real IT Projects Use Cases implemented as part of this course***Project 1: Unlocking Creativity: Hands-On with Amazon Bedrock Text Playground.Project 2: Mastering Conversations: Hands-On with Amazon Bedrock Chat Playground.Project 3: Creating Stunning Visuals: Hands-On with Amazon Bedrock Image PlaygroundProject 4: Image Analysis: Hands-On with Amazon Rekognition and AWS Lambda.Project 5: Building Smart Chatbots: Hands-On with Amazon Bedrock and Amazon Lex.Project 6: Unlocking Sentiments: Hands-On with Amazon Bedrock AI21 Labs ModelProject 7: Transforming Text to Art: Hands-On with Amazon Bedrock's Stable Diffusion XL.Project 8: Decoding Social Media: Sentiment Analysis with Amazon ComprehendProject 9: From Pen to Pixel: Extracting Handwritten Text with Amazon TextractProject 10: Mastering Data Preprocessing with Amazon SageMaker: From Raw Data to Training & Testing SetsProject 11: Creating a Powerful Custom Knowledge Base with Amazon Bedrock: Step-by-Step GuideProject 12: Transforming Text Files into CSV & JSON with Amazon Bedrock: A Comprehensive GuideProject 13: Log Analysis, Invoicing, and Sentiment Analysis with Amazon Bedrock & Cloud9Project 14: Safeguarding AI: Blocking Hate Speech, Violence, and Insults with Amazon Bedrock GuardrailsProject 15: Unveiling the Hidden: Detecting Invisible Watermarks with Amazon BedrockProject 16: Save Cost on ML Training : Master Managed Spot Training with Amazon SageMaker XGBoostProject 17: Build Real Estate / Photography Business Web App using Generative AIProject 18: Building Customer Shopping Order System using Amazon TranscribeProject 19: Amazon Bedrock Agents | Automate Tasks with AI!Project 20: Building Cybersecurity Face Recognition Web ApplicationProject 21 : Building Highly Available Chat Bot Web App using DockerProject 22: Revolutionizing Image Understanding with Anthropic Bedrock & StreamlitProject 23: Building Employee Knowledge Base Search ToolAWS Services / Tools Used in the Course :Amazon BedrockAmazon Cloud9Amazon Elastic Container Service ( ECS )Stability Diffusion ModelClaude Foundation Model from AnthropicClaude SonnetAmazon Bedrock AgentsBedrock Knowledge BaseLangchain - Chains and Memory ModulesAmazon Route 53Amazon Elastic Container Registry (Amazon ECR)Amazon SagemakerAWS LambdaHTMLAmazon LexStreamlitS3Amazon TranscribeNode.JSPythonAmazon Elastic Compute Cloud ( EC2 )AWS FargateAWS RekognitionJavascriptCascading Style Sheets ( CSS ) Who this course is for: Unlock a new career path with our course, tailored to transition you into high-paying roles in Generative AI and Amazon Bedrock. 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