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 Duration 14 hours

Course Outline

Getting Started with Managed AI Agents

  • An introduction to AgentCore
  • Principal features and service offerings
  • Industry-specific application scenarios

Creating Your Initial Agent

  • Defining agent roles and objectives
  • Setting up managed agent parameters
  • Practical lab: developing a basic agent

Augmenting Agents with Memory and Tools

  • Incorporating persistence and contextual awareness
  • Connecting external tools and APIs
  • Practical lab: expanding agent functionality

Fundamentals of AgentCore Runtime and Gateway

  • Overview of the runtime architecture
  • Integrating the gateway for application use
  • Practical lab: linking an agent to an application

Releasing Managed Agents

  • Exploring deployment choices within AgentCore
  • Considerations for scaling and operations
  • Practical lab: launching a fully managed agent

Oversight and Observability

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

Optimal Strategies and Emerging Trends

  • Addressing governance and compliance needs
  • Enhancing usability and system reliability
  • Future directions in managed AI agent technology

Recap and Future Actions

Requirements

  • A foundational grasp of AI and machine learning principles
  • Knowledge of cloud service ecosystems
  • Experience with application development processes

Target Audience

  • AI enthusiasts
  • Product managers
  • Generalist developers

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