Agentic AI Foundations
Official partner
AWS
Course Description
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. You’ll also discover how to use tools like Amazon Q Developer, Amazon Quick Suite, Kiro, Strands Agents SDK, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.
Course Summary
Module 1: From LLMs to Agents
Module 2: Exploring Agentic AI
Module 3: Understanding Agentic AI Workflows
Module 4: AWS Agentic Development and Productivity Tools
Module 5: Implementing agentic AI Frameworks with Amazon Bedrock AgentCore
Module 6: Building Custom Solutions
Module 7: Course Wrap-up
Prerequisites for this course
We recommend that attendees of this course have:
• Generative AI Essentials or equivalent work experience
• Basic AWS knowledge and software development experience
Audience for this course
This course is intended for:
• 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