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Course Outline
Overview of Managed AI Agents
- Definition and scope of AgentCore
- Core features and service offerings
- Cross-industry application scenarios
Architecting Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical exercise: creating a basic agent
Expanding Agent Capabilities with Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical exercise: broadening agent functionality
Foundations of AgentCore Runtime and Gateway
- Understanding the runtime architecture
- Integrating gateways for application connectivity
- Practical exercise: linking an agent to an application
Launching Managed Agents
- Exploring deployment pathways within AgentCore
- Considerations for scaling and operations
- Practical exercise: releasing a fully managed agent
Observability and Monitoring
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and utilization rates
- Practical exercise: establishing a monitoring routine
Industry Best Practices and Emerging Trends
- Addressing governance and compliance standards
- Enhancing usability and system reliability
- Future directions in managed AI agent technology
Conclusion and Path Forward
Requirements
- Foundational knowledge of AI and machine learning principles
- Comfort with cloud-based services
- Exposure to standard application development processes
Target Audience
- AI aficionados
- Product managers
- Generalist developers
14 Hours