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Course Outline

Foundations of Managed AI Agents

  • Defining AgentCore
  • Core functionalities and service offerings
  • Applicability across various sectors

Architecting Your Initial Agent

  • Defining agent objectives and roles
  • Setting up configurations for managed agents
  • Practical session: constructing a basic agent

Empowering Agents through Memory and Tools

  • Incorporating persistence and contextual awareness
  • Connecting external tools and APIs
  • Practical session: expanding agent functionalities

AgentCore Runtime and Gateway Fundamentals

  • Overview of the runtime structure
  • Integrating gateways for application connectivity
  • Practical session: linking an agent to an application

Launching Managed Agents

  • Deployment strategies within AgentCore
  • Considerations for scaling and operations
  • Practical session: releasing a fully managed agent

Observability and Monitoring

  • Utilizing metrics and dashboards in AgentCore
  • Making sense of performance and usage data
  • Practical session: establishing a monitoring pipeline

Optimal Practices and Industry Trends

  • Navigating governance and compliance requirements
  • Refining for user experience and system reliability
  • Exploring the future landscape of managed AI agents

Wrap-up and Path Forward

Requirements

  • Fundamental knowledge of AI and machine learning principles
  • Basic familiarity with cloud service ecosystems
  • Exposure to standard application development processes

Target Audience

  • Individuals with a keen interest in AI
  • Product managers
  • Generalist developers
 14 Hours

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