Accelerating AI Agent Deployment with AgentCore Runtime & Gateway Training Course

AgentCore Core Concepts

• Overview of AgentCore components and system architecture
• Distinguishing the distinct functions of Runtime and Gateway
• Development workflows and environment configuration

Package and Release via Runtime

• Agent packaging structures and dependency management
• Management of environment variables and secrets
• Lab exercise: Release a baseline agent to the Runtime

Protecting Access via Gateway

• Strategies for authentication, authorization, and token handling
• Implementation of rate limits, quotas, and anti-abuse measures
• Lab exercise: Publish a secure Gateway endpoint

Integrating Tools and APIs

• Creating consistent contracts for external tool interactions
• Webhook mechanisms and asynchronous callback patterns
• Lab exercise: Connect a third-party data API

Observability and Operations

• Structured logging, distributed tracing, and metric collection
• Dashboards for monitoring reliability and cost efficiency
• Lab exercise: Deploy request tracing and alert systems

Release Engineering and CI/CD

• Agent versioning and maintaining backward compatibility
• Automated testing for prompts, tools, and workflow logic
• Lab exercise: Construct a CI/CD pipeline for agents

Scaling and Resilience Strategies

• Horizontal scaling techniques and concurrency management
• Blue/green and canary deployment methods for safe updates
• Incident response protocols and rollback procedures

Conclusion and Future Directions