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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore.
- Principal features and available services.
- Cross-industry application scenarios.
Creating Your First Agent
- Defining agent roles and objectives.
- Setting up managed agent configurations.
- Practical lab: Constructing a basic agent.
Augmenting Agents with Memory and Tools
- Incorporating persistence and context retention.
- Connecting external tools and APIs.
- Practical lab: Expanding agent functionalities.
AgentCore Runtime and Gateway Essentials
- Overview of runtime architecture.
- Gateway integration for application connectivity.
- Practical lab: Linking an agent to an application.
Rolling Out Managed Agents
- Deployment strategies within AgentCore.
- Considerations for scalability and operations.
- Practical lab: Deploying a fully managed agent.
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore.
- Monitoring performance and usage patterns.
- Practical lab: Establishing a monitoring workflow.
Best Practices and Emerging Trends
- Governance and compliance frameworks.
- Optimization for reliability and user experience.
- Future directions in managed AI agents.
Wrap-Up and Next Steps
Requirements
- A foundational grasp of AI and machine learning principles.
- Knowledge of cloud-based services.
- Exposure to application development processes.
Target Audience
- Enthusiasts of AI technologies.
- Product managers.
- Generalist developers.
