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
• Development workflows and environment configuration

Packaging and Deployment via Runtime

• Agent packaging formats and dependency management
• Setting up environment variables and secrets
• Practical lab: deploying a basic agent to Runtime

Securing Access via Gateway

• Authentication, authorization, and token management strategies
• Implementing rate limits, quotas, and abuse mitigation
• Practical lab: publishing a secure Gateway endpoint

Integrating Tools and APIs

• Creating stable contracts for external tool interactions
• Webhook patterns and handling asynchronous callbacks
• Practical lab: connecting a third-party data API

Observability and Operations

• Structured logging, tracing, and metric collection
• Creating dashboards for reliability and cost insights
• Practical lab: setting up request tracing and alerting

Release Engineering and CI/CD

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

Scalability and Resilience Strategies

• Managing horizontal scaling and concurrency
• Employing blue/green and canary releases for safe updates
• Incident response procedures and rollback protocols

Wrap-up and Future Directions