Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

Foundations of AgentCore

• Core components and architectural overview of AgentCore
• Distinguishing between the roles of Runtime and Gateway
• Development workflows and environment configuration

Packaging and Deployment using Runtime

• Agent packaging formats and managing dependencies
• Setting up environment variables and securing secrets
• Practical lab: Deploy a foundational agent to the Runtime

Securing Access via Gateway

• Authentication, authorization, and token management strategies
• Implementing rate limiting, quotas, and abuse prevention
• Practical lab: Publish a secure Gateway endpoint

Tool and API Integrations

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

Observability and Operational Management

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

Release Engineering and CI/CD

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

Scalability and Resilience Patterns

• Managing horizontal scaling and concurrency controls
• Executing blue/green and canary deployments for safe releases
• Developing incident response and rollback procedures

Wrap-up and Subsequent Actions