Course Outline

Introduction to Managed AI Agents for Government

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

Designing Your First Agent for Government

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

Enhancing Agents with Memory and Tools for Government

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

AgentCore Runtime and Gateway Basics for Government

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

Deploying Managed Agents for Government

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

Monitoring and Observability for Government

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

Best Practices and Future Trends for Government

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

Summary and Next Steps for Government

Requirements

  • Basic understanding of artificial intelligence and machine learning principles
  • Familiarity with cloud computing services
  • Experience with application development processes

Audience for Government

  • AI professionals
  • Product managers
  • Generalist developers
 14 Hours

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