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. AWS Agentic AI Foundations Benefits In this AWS course, you will: 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, 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. Prerequisites We recommend that attendees of this course have: Generative AI Essentials or equivalent work experience Basic AWS knowledge and software development experience AWS Agentic AI Foundations Course Outline Learning Objectives 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
