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Course Outline
Introduction to Managed AI Agents
- Overview of 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: expanding agent capabilities
AgentCore Runtime and Gateway Basics
- Overview of runtime architecture
- Integrating gateways 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: creating a monitoring workflow
Best Practices and Future Trends
- Considerations for governance and compliance
- Optimizing for usability and reliability
- Evolving directions in managed AI agents
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning principles
- Understanding of cloud services
- Experience with application development workflows
Target Audience
- AI enthusiasts
- Product managers
- Generalist developers
14 Hours
