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Course Outline

Introduction to Managed AI Agents

  • Understanding AgentCore
  • Key features and services provided
  • Use cases across various industries

Designing Your First Agent

  • Conceptualizing agent roles and objectives
  • Configuring managed agent settings
  • Hands-on lab: constructing a basic agent

Enhancing Agents with Memory and Tools

  • Incorporating persistence and context
  • Integrating external tools and APIs
  • Hands-on lab: extending agent capabilities

AgentCore Runtime and Gateway Basics

  • Overview of runtime architecture
  • Gateway integration for applications
  • Hands-on lab: connecting an agent to an application

Deploying Managed Agents

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

Monitoring and Observability

  • Metrics and dashboards within AgentCore
  • Tracking performance and usage patterns
  • Hands-on lab: establishing a monitoring workflow

Best Practices and Future Trends

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

Summary and Next Steps

Requirements

  • Foundational knowledge of AI and machine learning concepts
  • Familiarity with cloud-based services
  • Previous exposure to application development workflows

Target Audience

  • AI enthusiasts
  • Product managers
  • Generalist developers
 14 Hours

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