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.
Course Objectives:
In this course, you will learn:
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