Agentic AI Foundations

Module 1: From LLMs to Agents

• Understanding Large Language Models (LLMs)
• Innovations powering agents
• Evolution timeline from LLMs to Agents

Module 2:Exploring Agentic AI

• Understanding Agentic AI
• Types of AI agents
• Agentic AI applications

Module 3: Understanding Agentic AI Workflows

• Workflow patterns
• Amazon Bedrock flows overview

Module 4: Introducing Autonomous Agents

• How Autonomous Agents work
• ReAct
• ReWoo
• Multi-agent collaboration
• AWS Agentic AI solutions

Module 5: Amazon Q and Agentic Development Tools

• Amazon Q Developer
• Amazon Q Business
• Amazon Q in AWS Services
• Kiro: AI-powered IDE with spec-driven development

Module 6: Agentic AI with Amazon Bedrock

• Amazon Bedrock Agents
• Amazon Bedrock AgentCore
• Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails

Module 7: Building DIY Solutions

• DIY solutions
• Observability and Monitoring
• Agent Interoperability

Module 8: Course Wrap-up

• Next steps and additional resources
• Course summary