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Course Outline
Foundations of Managed AI Agents
- Defining AgentCore
- Core functionalities and service offerings
- Applicability across various sectors
Architecting Your Initial Agent
- Defining agent objectives and roles
- Setting up configurations for managed agents
- Practical session: constructing a basic agent
Empowering Agents through Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical session: expanding agent functionalities
AgentCore Runtime and Gateway Fundamentals
- Overview of the runtime structure
- Integrating gateways for application connectivity
- Practical session: linking an agent to an application
Launching Managed Agents
- Deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical session: releasing a fully managed agent
Observability and Monitoring
- Utilizing metrics and dashboards in AgentCore
- Making sense of performance and usage data
- Practical session: establishing a monitoring pipeline
Optimal Practices and Industry Trends
- Navigating governance and compliance requirements
- Refining for user experience and system reliability
- Exploring the future landscape of managed AI agents
Wrap-up and Path Forward
Requirements
- Fundamental knowledge of AI and machine learning principles
- Basic familiarity with cloud service ecosystems
- Exposure to standard application development processes
Target Audience
- Individuals with a keen interest in AI
- Product managers
- Generalist developers
14 Hours