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Course Outline

Introduction to Managed AI Agents

  • What is AgentCore?
  • Core features and services
  • Industry-wide use cases

Designing Your First Agent

  • Defining agent roles and objectives
  • Configuring managed agent settings
  • Hands-on lab: Constructing a simple agent

Enhancing Agents with Memory and Tools

  • Incorporating persistence and context
  • Integrating 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 within 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 patterns
  • Hands-on lab: Developing 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

  • Fundamental 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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