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
• Establishing development workflows and environment configurations

Packaging and Deployment via Runtime

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

Securing Access via Gateway

• Strategies for authentication, authorization, and token management
• Implementation of rate limiting, quotas, and abuse prevention
• Practical lab: Publishing a secure Gateway endpoint

Integrating Tools and APIs

• 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 metric collection
• Dashboards for monitoring reliability and cost visibility
• Practical lab: Implementing request tracing and alerting

Release Engineering and CI/CD

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

Scaling and Resilience Patterns

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

Summary and Future Steps