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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Essential features and services
- Industry-wide use cases
Designing 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 contextual awareness
- Connecting tools and APIs
- Practical lab: expanding agent functionalities
AgentCore Runtime and Gateway Fundamentals
- Overview of the runtime architecture
- Implementing gateway integration for applications
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Deployment methodologies within AgentCore
- Scaling strategies and operational factors
- Practical lab: releasing a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Tracking performance and usage patterns
- Practical lab: establishing a monitoring workflow
Best Practices and Emerging Trends
- Governance and compliance factors
- Optimizing for user experience and reliability
- Future directions for managed AI agents
Summary and Path Forward
Requirements
- Foundational knowledge of AI and machine learning principles
- Working familiarity with cloud services
- Exposure to application development processes
Audience
- AI enthusiasts
- Product managers
- Generalist developers
