Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

AgentCore Fundamentals

• Overview of AgentCore components and architecture
• Distinguishing roles and responsibilities of Runtime versus Gateway
• Establishing the development workflow and environment setup

Packaging and Deployment via Runtime

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

Securing Access through Gateway

• Implementing authentication, authorization, and token strategies
• Configuring rate limiting, quotas, and abuse prevention mechanisms
• Practical lab: publishing a secure Gateway endpoint

Tool and API Integration

• Creating stable contracts for external tool interactions
• Utilizing webhook patterns and asynchronous callbacks
• Practical lab: integrating a third-party data API

Observability and Operations

• Implementing structured logging, tracing, and metrics collection
• Developing dashboards for reliability and cost visibility
• Practical lab: setting up request tracing and alerting systems

Release Engineering and CI/CD

• Managing agent versioning and ensuring backward compatibility
• Performing automated testing for prompts, tools, and workflows
• Practical lab: constructing a CI/CD pipeline for agent deployment

Scaling and Resilience Strategies

• Implementing horizontal scaling and concurrency controls
• Executing blue/green and canary rollouts for safe releases
• Defining incident response and rollback playbooks

Summary and Recommended Next Steps