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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Principal features and available services
- Industry-specific applications
Designing Your First Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical lab: constructing a basic agent
Augmenting Agents with Memory and Tools
- Implementing persistence and contextual awareness
- Connecting tools and external APIs
- Practical lab: broadening agent functionality
AgentCore Runtime and Gateway Fundamentals
- High-level view of the runtime architecture
- Application integration via the Gateway
- Practical lab: linking an agent to an application
Releasing Managed Agents
- Deployment strategies within AgentCore
- Scalability and operational factors
- Practical lab: rolling out 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 Future Directions
- Compliance and governance implications
- Optimization for usability and reliability
- Future trajectories in managed AI agents
Recap and Next Steps
Requirements
- Foundational knowledge of AI and machine learning principles
- Aquaintance with cloud service platforms
- Experience with application development processes
Target Audience
- Individuals interested in AI
- Product managers
- Generalist developers
