Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

AgentCore Fundamentals

• Core components and architectural overview of AgentCore
• Distinct roles and responsibilities of Runtime versus Gateway
• Establishing development workflows and environment configurations

Packaging and Deployment via Runtime

• Understanding agent packaging formats and dependency management
• Setting up environment variables and managing secrets
• Practical lab: Deploying a baseline agent to Runtime

Securing Access via Gateway

• Strategies for authentication, authorization, and token management
• Implementing rate limiting, quotas, and anti-abuse measures
• Practical lab: Publishing a secure Gateway endpoint

Integration of Tools and APIs

• Designing robust contracts for external tool interactions
• Utilizing Webhook patterns and asynchronous callbacks
• Practical lab: Integrating a third-party data API

Observability and Operational Management

• Implementing structured logging, tracing, and metrics
• Creating dashboards for reliability and cost visibility
• Practical lab: Setting up request tracing and alerting mechanisms

Release Engineering and CI/CD

• Managing agent versioning and ensuring backward compatibility
• Automating tests for prompts, tools, and workflows
• Practical lab: Constructing a CI/CD pipeline for agents

Scaling and Resilience Strategies

• Managing horizontal scaling and concurrency controls
• Employing Blue/green and canary deployments for secure releases
• Developing incident response and rollback protocols

Conclusion and Future Steps