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Course Outline

Introduction to Managed AI Agents

  • Overview of AgentCore
  • Essential features and available services
  • Industry-specific use cases

Creating Your First Agent

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

Augmenting Agents with Memory and Tools

  • Incorporating persistence and context
  • Connecting tools and APIs
  • Practical lab: expanding agent features

AgentCore Runtime and Gateway Essentials

  • Overview of the runtime architecture
  • Gateway integration for applications
  • Practical lab: linking an agent to an application

Deploying Managed Agents

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

Monitoring and Observability

  • Utilizing metrics and dashboards in AgentCore
  • Monitoring performance and usage
  • Practical lab: establishing a monitoring workflow

Best Practices and Emerging Trends

  • Governance and compliance factors
  • Optimizing for usability and dependability
  • Future developments in managed AI agents

Conclusion and Subsequent Steps

Requirements

  • A foundational understanding of AI and machine learning principles
  • Knowledge of cloud-based services
  • Experience with application development processes

Target Audience

  • AI professionals and enthusiasts
  • Product managers
  • Generalist developers
 14 Hours

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