Agentic AI Foundations

1 Days

This one-day Agentic AI Foundations course guides you through building autonomous, goal
driven AI agents using AWS technologies.

What will you get out of this course:

Understand how Agentic AI differs from traditional conversational systems
Explore tools such as Amazon Q, Kiro, and Amazon Bedrock Agents/AgentCore
Learn design patterns, architectural strategies, and observability practices for agent systems

Module 1: From LLMs to Agents

Module 2: Exploring Agentic AI

Module 3: Understanding Agentic AI Workflow

Module 4: Introducing Autonomous Agents

Module 5: Amazon Q and Agentic Development Tools

Module 6: Agentic AI with Amazon Bedrock

Module 7: Building DIY Solutions

Module 8: Course Wrap-up

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, and Kiro

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

Speak to a consultant and get clarity before you sign up.