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 Duration 14 hours

Course Outline

Introduction to Managed AI Agents

  • An overview of AgentCore
  • Core features and service offerings
  • Industry-specific applications and use cases

Architecting Your First Agent

  • Defining agent roles and objectives
  • Configuring managed agent parameters
  • Practical exercise: Creating a basic agent

Augmenting Agents with Memory and Tools

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

Foundations of AgentCore Runtime and Gateway

  • Overview of the runtime architecture
  • Integrating gateways with applications
  • Practical exercise: Linking an agent to an application

Launching Managed Agents

  • Deployment options within AgentCore
  • Considerations for scaling and operations
  • Practical exercise: Deploying a fully managed agent

Monitoring and Observability

  • Utilizing AgentCore metrics and dashboards
  • Monitoring performance and usage patterns
  • Practical exercise: Constructing a monitoring workflow

Best Practices and Emerging Trends

  • Governance and compliance considerations
  • Enhancing usability and reliability
  • Future trajectories in managed AI agents

Recap and Path Forward

Requirements

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

Target Audience

  • Technology enthusiasts
  • Product managers
  • Generalist developers

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