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Course Outline
Introduction to Managed AI Agents
- Defining AgentCore
- Essential features and service components
- Industry-specific use cases
Architecting Your Initial Agent
- Defining agent roles and objectives
- Configuring managed agent parameters
- Practical lab: Constructing a basic agent
Augmenting Agents with Memory and Tools
- Implementing persistence and contextual awareness
- Connecting external tools and APIs
- Practical lab: Expanding agent functionality
AgentCore Runtime and Gateway Fundamentals
- Overview of runtime architecture
- Integrating the Gateway with applications
- Practical lab: Linking an agent to an application
Deploying Managed Agents
- Exploring deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical lab: Launching a fully managed agent
Monitoring and Observability
- Utilizing AgentCore metrics and dashboards
- Monitoring performance and utilization
- Practical lab: Creating a monitoring workflow
Best Practices and Emerging Trends
- Governance and compliance frameworks
- Enhancing usability and system reliability
- Future directions in managed AI agents
Conclusion and Future Directions
Requirements
- A foundational grasp of AI and machine learning principles
- Working knowledge of cloud-based services
- Previous exposure to application development processes
Target Audience
- Enthusiasts of artificial intelligence
- Product managers
- Generalist developers
14 Hours