Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

AgentCore Fundamentals

• Overview of AgentCore components and architecture
• Defining the distinct roles and responsibilities of Runtime versus Gateway
• Establishing the development workflow and setting up environments

Packaging and Deployment via Runtime

• Understanding agent packaging formats and managing dependencies
• Setting up environment variables and secret management
• Practical lab: Deploy a baseline agent to the Runtime

Securing Access through the Gateway

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

Tool and API Integration

• Crafting stable contracts for external tool invocations
• Utilizing webhook patterns and asynchronous callbacks
• Practical lab: Integrate a third-party data API

Observability and Operations

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

Release Engineering and CI/CD

• Managing agent versioning and ensuring backward compatibility
• Conducting automated tests for prompts, tools, and workflows
• Practical lab: Construct a CI/CD pipeline for agent management

Scaling and Resilience Patterns

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

Wrap-up and Future Directions