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 Duration 14 hours

Course Outline

Introduction to AgentCore and Agentic AI

  • The role of Agentic AI in the enterprise sector
  • Fundamental components of AgentCore
  • AgentCore’s place within the AWS Bedrock ecosystem

AgentCore Runtime and Gateway

  • Initializing the AgentCore Runtime
  • Securing API integrations via Gateway
  • Practical exercise: deploying a sample agent

Memory and Stateful Agents

  • Establishing persistent context
  • Structuring long-duration agent workflows
  • Practical exercise: activating session-based memory

Identity, Permissions, and Security

  • Implementing role-based access for AI agents
  • Identity federation and enterprise-level integration
  • Practical exercise: setting up agent permissions

Observability and Monitoring

  • Logging and tracing capabilities in AgentCore
  • Metrics for tracking usage and performance
  • Practical exercise: creating observability dashboards

Scaling and Orchestrating Multi-Agent Systems

  • Design patterns for collaborative multi-agent systems
  • Optimizing performance and ensuring reliability
  • Practical exercise: orchestrating specialized agents

Governance and Compliance

  • Ensuring auditability and safe large-scale rollout
  • Compliance frameworks supported within AWS
  • Best practices for heavily regulated industries

Conclusion and Future Directions

Requirements

  • Familiarity with cloud-based AI and ML services
  • Proficiency with tools within the AWS ecosystem
  • Understanding of enterprise security and observability principles

Target Audience

  • AI/ML engineers
  • DevOps leads
  • Solution architects

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