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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Defining AgentCore.
- Principal features and available services.
- Applications across various industries.
Designing Your First Agent
- Defining agent roles and objectives.
- Configuring managed agent settings.
- Practical lab: constructing a basic agent.
Enhancing Agents with Memory and Tools
- Incorporating persistence and contextual awareness.
- Integrating external tools and APIs.
- Practical lab: expanding agent capabilities.
AgentCore Runtime and Gateway Basics
- Overview of runtime architecture.
- Gateway integration for application connectivity.
- Practical lab: linking an agent to an application.
Deploying Managed Agents
- Deployment options within AgentCore.
- Considerations for scaling and operations.
- Practical lab: deploying a fully managed agent.
Monitoring and Observability
- Utilising metrics and dashboards in AgentCore.
- Monitoring performance and usage patterns.
- Practical lab: establishing a monitoring workflow.
Best Practices and Future Trends
- Considerations for governance and compliance.
- Optimising for user experience and reliability.
- Evolving trends in managed AI agents.
Summary and Next Steps
Requirements
- A foundational grasp of AI and machine learning principles.
- Acquaintance with cloud service ecosystems.
- Familiarity with application development processes.
Audience
- Individuals interested in AI.
- Product managers.
- Generalist developers.
