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

Fundamental

This course includes presentations, hands-on lab, and group exercises.

In this course, you will learn to:

• Summarize the evolution of Agentic AI and define what makes something "agentic"
• Identify core components of agentic systems
• Distinguish between workflow, autonomous, and hybrid agents
• Compare AWS service options for Agentic AI
• Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, Amazon Quick Suite, and Kiro
• Explain Amazon Bedrock AgentCore and Amazon Bedrock Agents fundamentals
• Identify basic implementation patterns for Agentic AI
• Describe observability and interoperability patterns for production agentic AI systems

This course is intended for:

• Software developers new to Agentic AI seeking foundational knowledge
• Technical professionals exploring AI capabilities and interested in core components and applications of agentic AI
• Development teams evaluating Agentic AI solutions and needing to differentiate between agent types
• AWS Users expanding into Agentic AI, including current users of Amazon Q Developer, Amazon Q Business, Amazon Quick Suite, and Amazon Bedrock Agents

We recommend that attendees of this course have:

• Generative AI Essentials or equivalent work experience
• Basic AWS knowledge and software development experience

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