Agentic AI Foundations

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.                                                                  

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
• In this course, you will learn to:

Generative AI Essentials or equivalent work experience

• Basic AWS knowledge and software development experience
• We recommend that attendees of this course have:

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, and Amazon Bedrock Agents
• This course is intended for: