Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Managed AI Agents
- What is AgentCore?
- Core features and available services
- 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 awareness
- Connecting external tools and APIs
- Practical lab: broadening agent capabilities
AgentCore Runtime and Gateway Basics
- Overview of runtime architecture
- Implementing gateway integration for applications
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Exploration of deployment options within AgentCore
- Considerations for scaling and operations
- Practical lab: launching a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Making sense of performance and usage data
- Practical lab: creating a monitoring workflow
Best Practices and Future Trends
- Governance and compliance frameworks
- Strategies for optimizing usability and reliability
- Future directions in managed AI agents
Summary and Next Steps
Requirements
- Fundamental knowledge of AI and machine learning principles
- Basic familiarity with cloud services
- Experience with application development workflows
Intended Audience
- AI enthusiasts
- Product managers
- Generalist developers
14 Hours
