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Course Outline
Introduction to Managed AI Agents
- What is AgentCore?
- Key features and services
- Use cases across industries
Designing Your First Agent
- Conceptualizing agent roles and goals
- Configuring managed agent settings
- Hands-on lab: building a simple agent
Enhancing Agents with Memory and Tools
- Adding persistence and context
- Integrating tools and APIs
- Hands-on lab: extending agent capabilities
AgentCore Runtime and Gateway Basics
- Runtime architecture overview
- Gateway integration for applications
- Hands-on lab: connecting an agent to an app
Deploying Managed Agents
- Deployment options in 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: building 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
- Basic understanding of AI and machine learning concepts
- Familiarity with cloud services
- Exposure to application development workflows
Audience
- AI enthusiasts
- Product managers
- Generalist developers
14 Hours
