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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Principal features and services
- Industry-wide use cases
Designing Your First Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical lab: constructing a basic agent
Enhancing Agents with Memory and Tools
- Implementing persistence and context
- Connecting external tools and APIs
- Practical lab: expanding agent functionalities
AgentCore Runtime and Gateway Basics
- 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
- Utilizing metrics and dashboards in AgentCore
- Tracking performance and usage patterns
- Practical lab: creating a monitoring workflow
Best Practices and Future Trends
- Governance and compliance factors
- Enhancing usability and reliability
- Future trends in managed AI agents
Summary and Next Steps
Requirements
- A foundational grasp of AI and machine learning principles
- Proficiency with cloud-based services
- Experience with application development processes
Target Audience
- Individuals interested in Artificial Intelligence
- Product Managers
- Generalist Developers
