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Course Outline

Introduction to Managed AI Agents

  • What is AgentCore?
  • Key features and services.
  • Use cases across industries.

Designing Your First Agent

  • Conceptualizing agent roles and goals.
  • Configuring managed agent settings.
  • Hands-on lab: building a simple agent.

Enhancing Agents with Memory and Tools

  • Adding persistence and context.
  • Integrating tools and APIs.
  • Hands-on lab: extending agent capabilities.

AgentCore Runtime and Gateway Basics

  • Runtime architecture overview.
  • Gateway integration for applications.
  • Hands-on lab: connecting an agent to an app.

Deploying Managed Agents

  • Deployment options in AgentCore.
  • Scaling and operational considerations.
  • Hands-on lab: deploying a fully managed agent.

Monitoring and Observability

  • Metrics and dashboards in AgentCore.
  • Tracking performance and usage.
  • Hands-on lab: building a monitoring workflow.

Best Practices and Future Trends

  • Governance and compliance considerations.
  • Optimizing for usability and reliability.
  • Emerging directions in managed AI agents.

Summary and Next Steps

Requirements

  • Foundational understanding of AI and machine learning concepts.
  • Familiarity with cloud services.
  • Experience with application development workflows.

Target Audience

  • AI enthusiasts.
  • Product managers.
  • Generalist developers.
 14 Hours

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