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Course Outline
Introduction to Managed AI Agents
- Understanding AgentCore.
- Key features and services.
- Industry use cases.
Designing Your First Agent
- Defining agent roles and objectives.
- Configuring managed agent settings.
- Hands-on lab: Constructing a simple agent.
Enhancing Agents with Memory and Tools
- Incorporating persistence and context.
- Integrating tools and APIs.
- Hands-on lab: Extending agent capabilities.
AgentCore Runtime and Gateway Basics
- Overview of runtime architecture.
- Gateway integration for applications.
- Hands-on lab: Connecting an agent to an application.
Deploying Managed Agents
- Deployment options within AgentCore.
- Scaling and operational considerations.
- Hands-on lab: Deploying a fully managed agent.
Monitoring and Observability
- Metrics and dashboards in AgentCore.
- Tracking performance and usage.
- Hands-on lab: Establishing a monitoring workflow.
Best Practices and Future Trends
- Considerations for governance and compliance.
- Optimizing for usability and reliability.
- Emerging directions in managed AI agents.
Summary and Next Steps
Requirements
- Fundamental knowledge of AI and machine learning concepts.
- Understanding of cloud services.
- Experience with application development workflows.
Target Audience
- AI enthusiasts.
- Product managers.
- Generalist developers.
14 Hours
