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Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Essential features and available services
- Industry-specific use cases
Creating Your First Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical lab: constructing a basic agent
Augmenting Agents with Memory and Tools
- Incorporating persistence and context
- Connecting tools and APIs
- Practical lab: expanding agent features
AgentCore Runtime and Gateway Essentials
- Overview of the runtime architecture
- Gateway integration for applications
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Deployment options within AgentCore
- Considerations for scaling and operations
- Practical lab: deploying a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and usage
- Practical lab: establishing a monitoring workflow
Best Practices and Emerging Trends
- Governance and compliance factors
- Optimizing for usability and dependability
- Future developments in managed AI agents
Conclusion and Subsequent Steps
Requirements
- A foundational understanding of AI and machine learning principles
- Knowledge of cloud-based services
- Experience with application development processes
Target Audience
- AI professionals and enthusiasts
- Product managers
- Generalist developers
14 Hours