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Duration 14 hours
Course Outline
Foundations of Managed AI Agents
- Introduction to AgentCore
- Essential features and available services
- Industry-specific applications
Creating Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical session: Constructing a basic agent
Expanding Agent Capabilities with Memory and Tools
- Incorporating persistence and context
- Connecting external tools and APIs
- Practical session: Enhancing agent functionality
Basics of AgentCore Runtime and Gateway
- Overview of the runtime architecture
- Integrating the gateway with applications
- Practical session: Linking an agent to an application
Deployment of Managed Agents
- Available deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical session: Launching a fully managed agent
Monitoring and System Observability
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and usage patterns
- Practical session: Establishing a monitoring workflow
Best Practices and Emerging Trends
- Considerations for governance and compliance
- Strategies for optimizing usability and reliability
- Future developments in managed AI agents
Wrap-up and Recommended Next Steps
Requirements
- A foundational grasp of AI and machine learning principles
- Knowledge of cloud service platforms
- Experience with application development processes
Target Audience
- AI enthusiasts
- Product managers
- Generalist developers
