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Course Outline
Introduction to Managed AI Agents
- Defining AgentCore
- Core features and available services
- Industry-specific use cases
Creating Your First Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical exercise: constructing a basic agent
Enhancing Agents with Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical exercise: expanding agent capabilities
AgentCore Runtime and Gateway Fundamentals
- Overview of runtime architecture
- Gateway integration for application connectivity
- Practical exercise: linking an agent to an application
Deploying Managed Agents
- Available deployment pathways in AgentCore
- Considerations for scaling and operations
- Practical exercise: launching a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Tracking performance and usage patterns
- Practical exercise: creating a monitoring workflow
Best Practices and Future Trends
- Addressing governance and compliance requirements
- Optimizing for user experience and reliability
- Exploring emerging trends in managed AI agents
Conclusion and Next Steps
Requirements
- A foundational grasp of AI and machine learning principles
- Knowledge of cloud service ecosystems
- Exposure to application development processes
Target Audience
- AI enthusiasts
- Product managers
- Generalist developers
14 Hours