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Course Outline

Introduction to Managed AI Agents

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

Designing Your First Agent

  • Defining agent roles and objectives
  • Setting up managed agent configurations
  • Practical lab: Constructing a basic agent

Enhancing Agents with Memory and Tools

  • Implementing persistence and contextual awareness
  • Connecting tools and APIs
  • Practical lab: Expanding agent capabilities

Fundamentals of AgentCore Runtime and Gateway

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

Deploying Managed Agents

  • Deployment strategies within AgentCore
  • Scaling and operational best practices
  • Practical lab: Deploying a fully managed agent

Monitoring and Observability

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

Best Practices and Future Trends

  • Considerations for governance and compliance
  • Strategies for optimizing usability and reliability
  • Emerging developments in managed AI agents

Summary and Next Steps

Requirements

  • Foundational knowledge of AI and machine learning principles
  • Proficiency with cloud services
  • Experience with application development processes

Target Audience

  • AI enthusiasts
  • Product managers
  • Generalist developers
 14 Hours

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