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Duration 14 hours
Course Outline
AgentCore Fundamentals
- AgentCore components and architecture
- Distinguishing between Runtime and Gateway roles
- Development workflows and environment configuration
Packaging and Deploying with Runtime
- Agent packaging formats and dependencies
- Configuring environment variables and secrets
- Practical lab: Deploying a baseline agent to Runtime
Securing Access with Gateway
- Authentication, authorization, and token strategies
- Rate limiting, quotas, and abuse prevention
- Practical lab: Publishing a secure Gateway endpoint
Tool and API Integrations
- Creating stable contracts for external tool calls
- Webhook patterns and asynchronous callbacks
- Practical lab: Integrating a third-party data API
Observability and Operations
- Structured logging, tracing, and metrics
- Dashboards for reliability and cost visibility
- Practical lab: Implementing request tracing and alerts
Release Engineering and CI/CD
- Agent versioning and backward compatibility
- Automated testing for prompts, tools, and flows
- Practical lab: Building a CI/CD pipeline for agents
Scaling and Resilience Patterns
- Horizontal scaling and concurrency controls
- Blue/green and canary rollouts for safe releases
- Incident response and rollback playbooks
Summary and Next Steps
Requirements
- Knowledge of RESTful APIs and microservices
- Experience with AWS services and IAM
- Familiarity with containerization and CI/CD pipelines
Audience
- Backend developers
- AI platform engineers
- Tech leads