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Course Outline
Introduction to Managed AI Agents
- An overview of what AgentCore is
- Core features and available services
- Industry-specific use cases
Creating Your First Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical lab: constructing a basic agent
Enhancing Agents via Memory and Tools
- Incorporating persistence and contextual awareness
- Connecting external tools and APIs
- Practical lab: expanding agent functionality
Fundamentals of AgentCore Runtime and Gateway
- Overview of the runtime architecture
- Integrating the gateway with applications
- Practical lab: linking an agent to an application
Deploying Managed Agents
- Available deployment methods within AgentCore
- Considerations for scaling and operations
- Practical lab: launching a fully managed agent
Monitoring and Observability
- Utilising metrics and dashboards in AgentCore
- Monitoring performance and usage patterns
- Practical lab: establishing a monitoring workflow
Best Practices and Future Trends
- Factors for governance and compliance
- Strategies to optimise usability and reliability
- Emerging trends in managed AI agents
Recap and Future Directions
Requirements
- Fundamental knowledge of AI and machine learning principles
- Experience with cloud service platforms
- Previous exposure to application development processes
Target Audience
- Individuals interested in AI
- Product managers
- Generalist developers
14 Hours