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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Essential features and services
- Cross-industry 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 memory
- Connecting tools and APIs
- Practical lab: expanding agent capabilities
AgentCore Runtime and Gateway Basics
- Overview of runtime architecture
- Gateway integration for applications
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Deployment strategies in AgentCore
- Scaling and operational considerations
- Practical lab: launching 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 Future Trends
- Governance and compliance aspects
- Optimizing for usability and reliability
- Emerging trends in managed AI agents
Summary and Next Steps
Requirements
- A foundational understanding of AI and machine learning principles
- Familiarity with cloud-based services
- Experience with application development processes
Target Audience
- AI enthusiasts
- Product managers
- Generalist developers
