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Course Outline

Introduction to Managed AI Agents

  • Defining AgentCore
  • Essential features and service offerings
  • Application scenarios across various industries

Designing Your First Agent

  • Defining agent roles and objectives
  • Setting up managed agent configurations
  • Practical session: Developing a basic agent

Enhancing Agents with Memory and Tools

  • Incorporating data persistence and contextual awareness
  • Connecting external tools and APIs
  • Practical session: Expanding agent functionality

AgentCore Runtime and Gateway Fundamentals

  • Overview of runtime architecture
  • Integrating Gateways for application connectivity
  • Practical session: Linking an agent to an application

Deploying Managed Agents

  • Deployment strategies within AgentCore
  • Scalability and operational best practices
  • Practical session: Launching a fully managed agent

Monitoring and Observability

  • Utilizing metrics and dashboards in AgentCore
  • Monitoring performance and resource usage
  • Practical session: Creating a monitoring pipeline

Best Practices and Future Directions

  • Addressing governance and compliance requirements
  • Optimizing for user experience and system reliability
  • Emerging trends in the domain of managed AI agents

Conclusion and Recommended Next Steps

Requirements

  • A foundational grasp of AI and machine learning principles
  • General knowledge of cloud service architectures
  • Experience with application development processes

Target Audience

  • Professionals interested in AI technologies
  • Product managers
  • Generalist software developers
 14 Hours

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