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Duration 14 hours
Course Outline
Introduction to Managed AI Agents
- Overview of AgentCore
- Principal features and available services
- Applications across various sectors
Creating Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical exercise: constructing a basic agent
Enhancing Agents via Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical exercise: expanding agent functionality
Fundamentals of AgentCore Runtime and Gateway
- Overview of runtime architecture
- Integrating the gateway with applications
- Practical exercise: linking an agent to an application
Deploying Managed Agents
- Available deployment strategies in AgentCore
- Considerations for scaling and operations
- Practical exercise: launching a fully managed agent
Monitoring and Observability
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and usage patterns
- Practical exercise: establishing a monitoring pipeline
Best Practices and Emerging Trends
- Addressing governance and compliance requirements
- Refining usability and system reliability
- Future directions in managed AI agents
Wrap-Up and Recommendations
Requirements
- Foundational knowledge of AI and machine learning principles
- Working familiarity with cloud-based services
- Experience with application development processes
Target Audience
- Individuals passionate about AI
- Product management professionals
- Generalist software developers
