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 Duration 14 hours

Course Outline

AgentCore Fundamentals

  • Components and architecture of AgentCore.
  • Distinguishing roles and responsibilities of Runtime versus Gateway.
  • Setting up the development workflow and environment.

Packaging and Deployment with Runtime

  • Agent packaging formats and dependency management.
  • Configuring environment variables and handling secrets.
  • Practical lab: Deploying a baseline agent to Runtime.

Securing Access via Gateway

  • Authentication, authorization, and token management strategies.
  • Implementing rate limiting, quotas, and abuse prevention.
  • Practical lab: Publishing a secure Gateway endpoint.

Tool and API Integrations

  • Designing stable contracts for external tool invocations.
  • Webhook patterns and asynchronous callback mechanisms.
  • Practical lab: Integrating a third-party data API.

Observability and Operations

  • Structured logging, tracing, and metric collection.
  • Creating dashboards for reliability and cost visibility.
  • Practical lab: Implementing request tracing and alerting systems.

Release Engineering and CI/CD

  • Agent versioning and maintaining backward compatibility.
  • Automated testing for prompts, tools, and workflows.
  • Practical lab: Building a CI/CD pipeline for agents.

Scaling and Resilience Patterns

  • Horizontal scaling techniques and concurrency controls.
  • Blue/green and canary deployment strategies for safe releases.
  • Incident response procedures and rollback playbooks.

Conclusion and Future Directions

Requirements

  • A solid grasp of RESTful APIs and microservices.
  • Hands-on experience with AWS services and IAM.
  • Knowledge of containerization and CI/CD pipelines.

Target Audience

  • Backend developers.
  • AI platform engineers.
  • Tech leads.

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