In this course, you'll explore the core principles and strategies for designing Agentic AI systems using AWS services. You'll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems. Module 1: From LLMs to AgentsUnderstanding Large Language Models (LLMs) • Innovations powering agentsEvolution timeline from LLMs to Agents Module 2: Exploring Agentic AIUnderstanding Agentic AITypes of AI agentsAgentic AI applicationsModule 3: Understanding Agentic AI WorkflowsWorkflow patternsAmazon Bedrock flows overviewModule 4: Introducing Autonomous AgentsHow Autonomous Agents workReActReWooMulti-agent collaborationAWS Agentic AI solutions Module 5: Amazon Q and Agentic Development ToolsAmazon Q DeveloperAmazon Q BusinessAmazon Q in AWS ServicesKiro: AI-powered IDE with spec-driven development Module 6: Agentic AI with Amazon BedrockAmazon Bedrock AgentsAmazon Bedrock AgentCoreHands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge Bases
