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Course Outline

Getting Started with Managed AI Agents

  • An overview of what AgentCore offers
  • Core features and associated services
  • Industry-specific application scenarios

Creating Your Initial Agent

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

Augmenting Agents with Memory and Tools

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

Foundations of AgentCore Runtime and Gateway

  • Reviewing the runtime architecture
  • Integrating the gateway for application connectivity
  • Practical exercise: linking an agent to an application

Releasing Managed Agents

  • Exploring deployment pathways within AgentCore
  • Addressing scaling and operational requirements
  • Practical exercise: launching a fully managed agent

Monitoring and Observability

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

Best Practices and Emerging Trends

  • Considerations for governance and compliance
  • Enhancing usability and system reliability
  • Future developments in managed AI agents

Wrap-Up and Subsequent Steps

Requirements

  • Foundational knowledge of AI and machine learning principles
  • Knowledge of cloud-based service ecosystems
  • Exposure to standard application development processes

Intended Audience

  • AI enthusiasts
  • Product managers
  • Generalist developers
 14 Hours

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