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Learn how to build real AI applications using Amazon Bedrock from scratch! This tutorial covers everything from basic API calls to advanced AI agents with RAG, tool use, and guardrails. Perfect for developers moving from AI user to AI builder. Github Repo: https://go.aws/4tKvhbr Follow AWS Developers! š X: https://go.aws/4tKvhIt š¼ LinkedIn: https://go.aws/4tKvjjz 0:00 Introduction to Amazon Bedrock 1:01 What is Amazon Bedrock? 1:24 What You'll Learn in This Video 2:36 Choosing the Right Model 3:50 System Prompts and Configuration 5:21 Understanding Inference 5:39 Converse API Introduction 5:55 Installing Boto3 SDK 7:33 Messages Array Structure 9:54 Understanding Tokens and Billing 13:34 Why Learn the Hard Way First 14:19 Introduction to Tool Use 16:03 Tool Use Example Setup 20:07 Running Tool Use Example 21:06 Retrieval Augmented Generation (RAG) 22:05 Semantic Search Explained 22:50 Vector Databases and Embeddings 23:25 Creating Bedrock Knowledge Bases 30:18 Introduction to Guardrails 31:12 Types of Content Filters 32:22 Creating Guardrails 37:44 Putting the Learnings Together 38:37 Strands Agents SDK 39:16 Agent Code Walkthrough 43:34 Recap and Next Steps #AWS #AmazonBedrock #AIAgents