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 Duration 14 hours

Course Outline

Overview of Managed AI Agents

  • Defining AgentCore
  • Principal features and services
  • Industry-specific applications

Creating Your Initial Agent

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

Augmenting Agents via Memory and Tools

  • Incorporating persistence and contextual awareness
  • Connecting tools and APIs
  • Practical exercise: expanding agent capabilities

Foundations of AgentCore Runtime and Gateway

  • Snapshot of runtime architecture
  • Applying gateway integration for applications
  • Practical exercise: linking an agent to an app

Launching Managed Agents

  • Deployment alternatives within AgentCore
  • Scalability and operational factors
  • Practical exercise: launching a fully managed agent

Monitoring and Observability

  • AgentCore metrics and dashboards
  • Overseeing performance and usage
  • Practical exercise: creating a monitoring workflow

Best Practices and Emerging Trends

  • Governance and compliance factors
  • Enhancing usability and reliability
  • Future directions in managed AI agents

Conclusion and Path Forward

Requirements

  • A foundational grasp of AI and machine learning principles
  • Knowledge of cloud-based services
  • Experience with application development processes

Target Audience

  • Individuals interested in AI
  • Product managers
  • Generalist developers

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