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Course Outline

Overview of Managed AI Agents

  • Definition and scope of AgentCore
  • Core features and service offerings
  • Cross-industry application scenarios

Architecting Your Initial Agent

  • Defining agent roles and objectives
  • Setting up managed agent configurations
  • Practical exercise: creating a basic agent

Expanding Agent Capabilities with Memory and Tools

  • Incorporating persistence and contextual awareness
  • Connecting external tools and APIs
  • Practical exercise: broadening agent functionality

Foundations of AgentCore Runtime and Gateway

  • Understanding the runtime architecture
  • Integrating gateways for application connectivity
  • Practical exercise: linking an agent to an application

Launching Managed Agents

  • Exploring deployment pathways within AgentCore
  • Considerations for scaling and operations
  • Practical exercise: releasing a fully managed agent

Observability and Monitoring

  • Utilizing metrics and dashboards in AgentCore
  • Monitoring performance and utilization rates
  • Practical exercise: establishing a monitoring routine

Industry Best Practices and Emerging Trends

  • Addressing governance and compliance standards
  • Enhancing usability and system reliability
  • Future directions in managed AI agent technology

Conclusion and Path Forward

Requirements

  • Foundational knowledge of AI and machine learning principles
  • Comfort with cloud-based services
  • Exposure to standard application development processes

Target Audience

  • AI aficionados
  • Product managers
  • Generalist developers
 14 Hours

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