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Course Outline

Introduction to Managed AI Agents

  • Defining AgentCore
  • Core features and available services
  • Industry-specific use cases

Creating Your First Agent

  • Defining agent roles and objectives
  • Setting up managed agent parameters
  • Practical exercise: constructing a basic agent

Enhancing Agents with Memory and Tools

  • Incorporating persistence and contextual awareness
  • Connecting external tools and APIs
  • Practical exercise: expanding agent capabilities

AgentCore Runtime and Gateway Fundamentals

  • Overview of runtime architecture
  • Gateway integration for application connectivity
  • Practical exercise: linking an agent to an application

Deploying Managed Agents

  • Available deployment pathways in AgentCore
  • Considerations for scaling and operations
  • Practical exercise: launching a fully managed agent

Monitoring and Observability

  • Utilizing metrics and dashboards in AgentCore
  • Tracking performance and usage patterns
  • Practical exercise: creating a monitoring workflow

Best Practices and Future Trends

  • Addressing governance and compliance requirements
  • Optimizing for user experience and reliability
  • Exploring emerging trends in managed AI agents

Conclusion and Next Steps

Requirements

  • A foundational grasp of AI and machine learning principles
  • Knowledge of cloud service ecosystems
  • Exposure to application development processes

Target Audience

  • AI enthusiasts
  • Product managers
  • Generalist developers
 14 Hours

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