Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

AgentCore Fundamentals

• Core components and architectural overview of AgentCore
• Distinguishing the roles and responsibilities of Runtime versus Gateway
• Establishing the development workflow and environment configuration

Packaging and Deployment using Runtime

• Agent packaging formats and managing dependencies
• Setting up environment variables and managing secrets
• Lab: Deploy a baseline agent to the Runtime

Access Security via Gateway

• Strategies for authentication, authorization, and token management
• Implementing rate limiting, quotas, and abuse prevention measures
• Lab: Publish a secure endpoint through the Gateway

Integrating Tools and APIs

• Creating stable contracts for external tool invocations
• Utilizing webhook patterns and asynchronous callbacks
• Lab: Connect a third-party data API

Observability and Operations

• Implementing structured logging, tracing, and metrics collection
• Creating dashboards for monitoring reliability and cost visibility
• Lab: Implement request tracing and alerting mechanisms

Release Engineering and CI/CD

• Managing agent versioning and ensuring backward compatibility
• Automating tests for prompts, tools, and workflows
• Lab: Construct a CI/CD pipeline specifically for agents

Scaling and Resilience Patterns

• Managing horizontal scaling and concurrency controls
• Executing blue/green and canary rollouts for secure releases
• Developing incident response and rollback procedures

Conclusion and Future Directions