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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
- Practical lab: building a simple agent
Enhancing Agents with Memory and Tools
- Incorporating persistence and context
- Integrating tools and APIs
- Practical lab: expanding agent capabilities
AgentCore Runtime and Gateway Fundamentals
- Overview of runtime architecture
- Gateway integration for applications
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Deployment options within AgentCore
- Scaling and operational considerations
- Practical lab: deploying a fully managed agent
Monitoring and Observability
- Metrics and dashboards in AgentCore
- Tracking performance and usage
- Practical lab: constructing 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 services
- Experience with application development workflows
Target Audience
- AI enthusiasts
- Product managers
- Generalist developers
14 Hours
