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Course Outline

Getting Started with Managed AI Agents

  • Definition and scope of AgentCore
  • Core features and service offerings
  • Industry-specific application examples

Creating Your Initial Agent

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

Expanding Agent Capabilities with Memory and Tools

  • Implementing persistence and contextual awareness
  • Connecting external tools and APIs
  • Practical exercise: broadening agent functionality

Fundamentals of AgentCore Runtime and Gateway

  • Overview of the runtime architecture
  • Integration of the gateway into applications
  • Practical exercise: linking an agent to an application

Rolling Out Managed Agents

  • Available deployment strategies in AgentCore
  • Scalability and operational factors
  • Practical exercise: launching a fully managed agent

Oversight and Performance Tracking

  • Utilizing metrics and dashboards in AgentCore
  • Monitoring performance and usage patterns
  • Practical exercise: establishing a monitoring routine

Optimal Practices and Emerging Trends

  • Governance and compliance factors
  • Refining usability and system reliability
  • Future developments in managed AI agents

Wrap-up and Future Pathways

Requirements

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

Intended Audience

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

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