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Course Outline
Getting Started with Managed AI Agents
- Definition and scope of AgentCore
- Core features and service offerings
- Industry-specific application examples
Creating Your Initial Agent
- Defining agent roles and objectives
- Setting up managed agent configurations
- Practical exercise: constructing a basic agent
Expanding Agent Capabilities with Memory and Tools
- Implementing persistence and contextual awareness
- Connecting external tools and APIs
- Practical exercise: broadening agent functionality
Fundamentals of AgentCore Runtime and Gateway
- Overview of the runtime architecture
- Integration of the gateway into applications
- Practical exercise: linking an agent to an application
Rolling Out Managed Agents
- Available deployment strategies in AgentCore
- Scalability and operational factors
- Practical exercise: launching a fully managed agent
Oversight and Performance Tracking
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and usage patterns
- Practical exercise: establishing a monitoring routine
Optimal Practices and Emerging Trends
- Governance and compliance factors
- Refining usability and system reliability
- Future developments in managed AI agents
Wrap-up and Future Pathways
Requirements
- A foundational grasp of AI and machine learning principles
- Knowledge of cloud service ecosystems
- Experience with application development processes
Intended Audience
- AI professionals and enthusiasts
- Product managers
- Generalist software developers
14 Hours