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Course Outline
Introduction to Managed AI Agents
- Defining AgentCore
- Essential features and service offerings
- Application scenarios across various industries
Designing Your First Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical session: Developing a basic agent
Enhancing Agents with Memory and Tools
- Incorporating data persistence and contextual awareness
- Connecting external tools and APIs
- Practical session: Expanding agent functionality
AgentCore Runtime and Gateway Fundamentals
- Overview of runtime architecture
- Integrating Gateways for application connectivity
- Practical session: Linking an agent to an application
Deploying Managed Agents
- Deployment strategies within AgentCore
- Scalability and operational best practices
- Practical session: Launching a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and resource usage
- Practical session: Creating a monitoring pipeline
Best Practices and Future Directions
- Addressing governance and compliance requirements
- Optimizing for user experience and system reliability
- Emerging trends in the domain of managed AI agents
Conclusion and Recommended Next Steps
Requirements
- A foundational grasp of AI and machine learning principles
- General knowledge of cloud service architectures
- Experience with application development processes
Target Audience
- Professionals interested in AI technologies
- Product managers
- Generalist software developers
14 Hours