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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Defining AgentCore
- Primary features and available services
- Applications across various sectors
Designing Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical lab: creating a basic agent
Expanding Agent Capabilities with Memory and Tools
- Incorporating persistence and context
- Connecting tools and external APIs
- Practical lab: broadening agent functionalities
Foundations of AgentCore Runtime and Gateway
- Overview of runtime architecture
- Gateway integration for application use
- Practical lab: linking an agent to an application
Implementing Managed Agents
- Deployment strategies within AgentCore
- Scalability and operational factors
- Practical lab: launching a fully managed agent
Monitoring and Visibility
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and resource usage
- Practical lab: creating a monitoring workflow
Best Practices and Emerging Trends
- Governance and compliance requirements
- Refining usability and reliability
- Future trajectories in managed AI agents
Recap and Future Directions
Requirements
- Fundamental knowledge of AI and machine learning principles
- Acquaintance with cloud computing services
- Experience with application development processes
Target Audience
- Technology enthusiasts focused on AI
- Product managers
- Generalist developers
