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Course Outline
Introduction to Managed AI Agents
- Defining AgentCore
- Primary features and service offerings
- Industry-specific use cases
Designing Your First Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical lab: constructing a basic agent
Enhancing Agents with Memory and Tools
- Incorporating persistence and contextual data
- Connecting tools and APIs
- Practical lab: expanding agent functionality
AgentCore Runtime and Gateway Fundamentals
- Overview of runtime architecture
- Gateway integration for application use
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical lab: releasing a fully managed agent
Monitoring and Observability
- AgentCore metrics and dashboard features
- Monitoring performance and usage patterns
- Practical lab: establishing a monitoring workflow
Best Practices and Emerging Trends
- Governance and compliance factors
- Strategies for improving usability and reliability
- Future directions in managed AI agents
Wrap-up and Future Actions
Requirements
- A foundational understanding of AI and machine learning principles
- Awareness of cloud service ecosystems
- Experience with application development processes
Target Audience
- AI enthusiasts
- Product managers
- Generalist developers
14 Hours