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Course Outline
Introduction to Managed AI Agents
- What is AgentCore?
- Core features and services.
- Industry use cases.
Designing Your First Agent
- Defining agent roles and objectives.
- Configuring managed agent settings.
- Hands-on lab: constructing a basic agent.
Enhancing Agents with Memory and Tools
- Incorporating persistence and context.
- Integrating tools and APIs.
- Hands-on lab: expanding agent capabilities.
AgentCore Runtime and Gateway Fundamentals
- Overview of runtime architecture.
- Gateway integration for applications.
- Hands-on lab: linking an agent to an application.
Deploying Managed Agents
- Deployment options within AgentCore.
- Scaling and operational factors.
- Hands-on lab: deploying a fully managed agent.
Monitoring and Observability
- Metrics and dashboards in AgentCore.
- Tracking performance and usage patterns.
- Hands-on lab: establishing a monitoring workflow.
Best Practices and Future Trends
- Governance and compliance considerations.
- Optimizing for usability and reliability.
- Emerging directions in managed AI agents.
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning principles.
- Familiarity with cloud-based services.
- Experience with application development workflows.
Target Audience
- AI enthusiasts.
- Product managers.
- Generalist developers.
14 Hours
