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Duration 14 hours
Course Outline
Intro to Managed AI Agents
- Defining AgentCore
- Core features and available services
- Industry-specific applications
Creating Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical session: constructing a basic agent
Upgrading Agents with Memory and Tools
- Incorporating data persistence and context
- Connecting external tools and APIs
- Practical session: expanding agent functionalities
Understanding AgentCore Runtime and Gateway
- Overview of the runtime structure
- Integrating the gateway with applications
- Practical session: linking an agent to an application
Releasing Managed Agents
- Deployment choices within AgentCore
- Considerations for scaling and operations
- Practical session: launching a fully managed agent
Monitoring and Insight
- Accessing metrics and dashboards in AgentCore
- Making sense of performance and usage data
- Practical session: establishing a monitoring routine
Optimal Strategies and Future Outlook
- Addressing governance and regulatory compliance
- Improving usability and system reliability
- New trends in managed AI agents
Wrap-up and Future Directions
Requirements
- Foundational knowledge of AI and machine learning principles
- Experience with cloud-based platforms
- Exposure to software development processes
Target Audience
- Individuals passionate about AI
- Product leaders
- Generalist software engineers
