Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

AgentCore Fundamentals

• Core AgentCore components and architectural design
• Distinguishing the roles of Runtime and Gateway
• Development workflows and environment configuration

Packaging and Deployment via Runtime

• Agent packaging formats and dependency management
• Managing environment variables and 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 Integration

• Creating stable contracts for external tool interactions
• Webhook patterns and asynchronous callback mechanisms
• Practical lab: integrating a third-party data API

Observability and Operations

• Structured logging, tracing, and metric collection
• Dashboards for monitoring reliability and costs
• Practical lab: implementing request tracing and alerts

Release Engineering and CI/CD

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

Scaling and Resilience Strategies

• Horizontal scaling and concurrency management
• Blue/green and canary deployment strategies for safe releases
• Incident response protocols and rollback procedures

Conclusion and Future Directions