• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

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.

Audience profile

  • 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

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Course details

Module 1: From LLMs to Agents
• Understanding Large Language Models (LLMs)
• Innovations powering agents
• Evolution timeline from LLMs to Agents

Module 2: Exploring Agentic AI
• Understanding Agentic AI
• Types of AI agents
• Agentic AI applications

Module 3: Understanding Agentic AI Workflows
• Workflow patterns
• Amazon Bedrock flows overview

Module 4: Introducing Autonomous Agents
• How Autonomous Agents work
• ReAct
• ReWoo
• Multi-agent collaboration
• AWS Agentic AI solutions

Module 5: Amazon Q and Agentic Development Tools
• Amazon Q Developer
• Amazon Q Business
• Amazon Q in AWS Services
• Kiro: AI-powered IDE with spec-driven development

Module 6: Agentic AI with Amazon Bedrock
• Amazon Bedrock Agents
• Amazon Bedrock AgentCore
• Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge
Bases and Amazon Bedrock Guardrails

Module 7: Building DIY Solutions
• DIY solutions
• Observability and Monitoring
• Agent Interoperability

Module 8: Course Wrap-up
• Next steps and additional resources
• Course summary

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Prerequisites

  • Generative AI Essentials or equivalent work experience
  • Basic AWS knowledge and software development experience

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