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Course Outline
Overview of Managed AI Agents
- An introduction to AgentCore
- Principal features and available services
- Industry-specific applications and use cases
Creating Your Initial Agent
- Defining agent objectives and roles
- Setting up managed agent configurations
- Practical exercise: developing a basic agent
Enhancing Agents through Memory and Tools
- Incorporating state persistence and context
- Linking external tools and APIs
- Practical exercise: expanding agent functionalities
Foundations of AgentCore Runtime and Gateway
- Overview of the runtime architecture
- Implementing gateway integration for applications
- Practical exercise: linking an agent to an application
Releasing Managed Agents
- Exploring deployment pathways within AgentCore
- Addressing scalability and operational needs
- Practical exercise: launching a fully managed agent
Oversight and Observability
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance metrics and usage patterns
- Practical exercise: establishing a monitoring pipeline
Best Practices and Emerging Trends
- Addressing governance and compliance requirements
- Improving user experience and system reliability
- Future developments in managed AI agents
Conclusion and Recommended Path Forward
Requirements
- A foundational grasp of AI and machine learning principles
- General knowledge of cloud-based services
- Experience with application development processes
Target Audience
- AI technology enthusiasts
- Product managers
- Generalist software developers
14 Hours
