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Course Outline
Fundamentals of Managed AI Agents
- Defining AgentCore and its scope
- Core features and service offerings
- Industry-specific application scenarios
Architecting Your Initial Agent
- Defining agent roles and objective outcomes
- Setting up managed agent parameters
- Practical session: Constructing a basic agent
Augmenting Agents via Memory and Tooling
- Implementing persistence and contextual awareness
- Incorporating external tools and APIs
- Practical session: Extending agent capabilities
Core AgentCore Runtime and Gateway Concepts
- Overview of runtime architecture
- Gateway integration strategies for applications
- Practical session: Linking an agent to an application
Deploying Managed Agents
- Available deployment modalities within AgentCore
- Scalability and operational best practices
- Practical session: Releasing a fully managed agent
Monitoring and Observability Frameworks
- Leveraging metrics and dashboards in AgentCore
- Performance and usage tracking methodologies
- Practical session: Establishing a monitoring workflow
Strategic Best Practices and Future Trajectories
- Governance and compliance frameworks
- Optimizing for user experience and system reliability
- Emerging trends in managed AI agent technology
Conclusion and Path Forward
Requirements
- Foundational knowledge of AI and machine learning principles
- Working familiarity with cloud service architectures
- Basic exposure to application development processes
Target Audience
- AI professionals and enthusiasts
- Product managers
- Generalist developers
14 Hours