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Course Outline

Overview of Managed AI Agents

  • Defining AgentCore
  • Core features and available services
  • Industrial applications and use cases

Creating Your Initial Agent

  • Defining agent roles and objectives
  • Setting up managed agent parameters
  • Practical session: constructing a basic agent

Boosting Agents with Memory and Tools

  • Incorporating data persistence and context
  • Connecting tools and external APIs
  • Practical session: expanding agent functionality

AgentCore Runtime and Gateway Essentials

  • Overview of runtime architecture
  • Gateway setup for application integration
  • Practical session: linking an agent to an application

Releasing Managed Agents

  • Available deployment pathways in AgentCore
  • Considerations for scaling and operations
  • Practical session: releasing a fully managed agent

Monitoring and Visibility

  • Utilizing metrics and dashboards in AgentCore
  • Monitoring performance and utilization
  • Practical session: establishing a monitoring workflow

Best Practices and Emerging Trends

  • Addressing governance and compliance
  • Refining for user experience and system reliability
  • Future developments in managed AI agents

Wrap-up and Forward-Looking Steps

Requirements

  • Fundamental knowledge of AI and machine learning principles
  • Working familiarity with cloud-based services
  • Experience with application development processes

Target Audience

  • Professionals with an interest in AI
  • Product managers
  • Generalist developers
 14 Hours

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