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Course Outline

Introduction to Managed AI Agents

  • Understanding AgentCore
  • Core features and available services
  • Industry applications and use cases

Designing Your First Agent

  • Defining agent roles and objectives
  • Configuring managed agent settings
  • Practical lab: constructing a simple agent

Enhancing Agents with Memory and Tools

  • Incorporating persistence and context
  • Integrating tools and APIs
  • Practical lab: expanding agent capabilities

AgentCore Runtime and Gateway Fundamentals

  • Overview of runtime architecture
  • Integrating gateways for application connectivity
  • Practical lab: linking an agent to an application

Deploying Managed Agents

  • Deployment choices within AgentCore
  • Scaling and operational requirements
  • Practical lab: deploying a fully managed agent

Monitoring and Observability

  • Metrics and dashboards provided by AgentCore
  • Tracking performance and usage patterns
  • Practical lab: constructing 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

  • Fundamental knowledge of AI and machine learning principles
  • Working familiarity with cloud services
  • Experience with application development processes

Target Audience

  • AI enthusiasts
  • Product managers
  • Generalist developers
 14 Hours

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