Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

AgentCore Fundamentals

• Components and architecture of AgentCore
• Distinct roles and responsibilities of Runtime versus Gateway
• Development workflows and environment configuration

Packaging and Deployment via Runtime

• Agent packaging formats and dependency management
• Configuration of environment variables and secrets
• Practical lab: deploying a baseline agent to Runtime

Securing Access via Gateway

• Authentication, authorization, and token strategies
• Rate limiting, quota management, and abuse prevention
• Practical lab: publishing a secure Gateway endpoint

Tool and API Integration

• Designing stable contracts for external tool invocations
• Webhook patterns and asynchronous callback mechanisms
• Practical lab: integrating a third-party data API

Observability and Operational Management

• Structured logging, tracing, and metrics collection
• Dashboards for monitoring reliability and cost efficiency
• Practical lab: implementing request tracing and alerting systems

Release Engineering and CI/CD

• Agent versioning and maintaining backward compatibility
• Automated testing for prompts, tools, and workflows
• Practical lab: building a CI/CD pipeline for agents

Scaling and Resilience Strategies

• Horizontal scaling and concurrency control mechanisms
• Blue/green and canary deployment strategies for safe releases
• Incident response protocols and rollback playbooks

Conclusion and Future Steps