Agentic AI Foundations

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 • Identify basic implementation patterns for agentic AI • Compare AWS service options for agentic AI • Describe capabilities and use cases of Amazon Quick Suite, Amazon Q Developer, and Kiro • Explain Strands Agents framework and its applications • Build and customize a basic AI agent using Strands Agents SDK • Develop a simple task-specific agent for real-world application using Strands Agents SDK • Explain Amazon Bedrock AgentCore • Describe observability and interoperability patterns for production agentic AI systems

Intended audience: • 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 Quick Suite, and Amazon Bedrock AgentCore Prerequisites: We recommend that attendees of this course have: • Generative AI Essentials or equivalent work experience • Basic AWS knowledge and software development experience