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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Defining AgentCore
- Principal features and services
- Cross-industry use cases
Designing Your First Agent
- Defining agent roles and objectives
- Configuring managed agent parameters
- Practical lab: constructing a basic agent
Enhancing Agents with Memory and Tools
- Incorporating persistence and context
- Integrating 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 options within AgentCore
- Scaling and operational factors
- Practical lab: releasing a fully managed agent
Monitoring and Observability
- AgentCore metrics and dashboards
- Performance and usage tracking
- Practical lab: establishing a monitoring workflow
Best Practices and Future Trends
- Governance and compliance aspects
- Optimising for usability and reliability
- Emerging directions in managed AI agents
Summary and Next Steps
Requirements
- A foundational understanding of AI and machine learning principles
- Knowledge of cloud services
- Experience with application development processes
Target Audience
- AI enthusiasts
- Product managers
- Generalist developers
