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Course Outline
Introduction to Managed AI Agents
- Understanding AgentCore
- Key features and services provided
- Use cases across various industries
Designing Your First Agent
- Conceptualizing 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 external 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 available in AgentCore
- Scaling strategies and operational considerations
- Hands-on lab: deploying a fully managed agent
Monitoring and Observability
- Metrics and dashboards within 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 trends in managed AI agents
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning concepts
- Familiarity with cloud-based services
- Previous exposure to application development workflows
Target Audience
- AI enthusiasts
- Product managers
- Generalist developers
14 Hours