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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Defining AgentCore
- Principal features and service offerings
- Industry-wide application scenarios
Designing Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical lab: creating a basic agent
Enhancing Agents with Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical lab: expanding agent functionalities
AgentCore Runtime and Gateway Essentials
- Overview of runtime architecture
- Integrating gateways for application use
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical lab: launching a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Making sense of performance and usage data
- Practical lab: establishing a monitoring workflow
Best Practices and Future Trends
- Governance and compliance frameworks
- Refining usability and reliability
- Upcoming trends in managed AI agents
Wrap-up and Recommended Next Steps
Requirements
- A foundational grasp of AI and machine learning principles
- Knowledge of cloud service environments
- Exposure to application development processes
Target Audience
- Enthusiasts of AI technology
- Product management professionals
- Generalist software developers
