Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

AgentCore Fundamentals

• Overview of AgentCore components and architecture
• Distinguishing the roles and responsibilities of Runtime versus Gateway
• Setting up development workflows and environments

Packaging and Deployment using Runtime

• Understanding agent packaging formats and dependencies
• Managing environment variables and secrets
• Practical lab: Deploying a baseline agent to Runtime

Securing Access via Gateway

• Implementing authentication, authorization, and token strategies
• Applying rate limiting, quotas, and abuse prevention measures
• Practical lab: Publishing a secure Gateway endpoint

Tool and API Integrations

• Crafting stable contracts for external tool invocations
• 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 insights
• Practical lab: Setting up request tracing and alerts

Release Engineering and CI/CD

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

Scaling and Resilience Strategies

• Implementing horizontal scaling and concurrency controls
• Using blue/green and canary rollouts for secure releases
• Developing incident response and rollback playbooks

Conclusions and Future Directions