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Course Outline
Overview of Managed AI Agents
- Definition and scope of AgentCore
- Core features and available services
- Cross-industry applications
Creating Your First Agent
- Defining agent roles and objectives
- Setting up managed agent parameters
- Practical session: Developing a basic agent
Augmenting Agents with Memory and Tools
- Implementing persistence and contextual awareness
- Connecting tools and APIs
- Practical session: Expanding agent functionalities
AgentCore Runtime and Gateway Fundamentals
- Overview of runtime architecture
- Integrating the gateway for application use
- Practical session: Linking an agent to an application
Releasing Managed Agents
- Deployment strategies within AgentCore
- Considerations for scaling and operations
- Practical session: Releasing a fully managed agent
Oversight and Monitoring
- Utilizing metrics and dashboards in AgentCore
- Monitoring performance and utilization
- Practical session: Establishing a monitoring workflow
Best Practices and Industry Outlook
- Governance and regulatory compliance
- Enhancing usability and system reliability
- Future advancements in managed AI agents
Concluding Summary and Path Forward
Requirements
- A foundational grasp of AI and machine learning principles
- Proficiency with cloud-based services
- Experience with application development processes
Target Audience
- AI professionals and enthusiasts
- Product managers
- Full-stack and generalist developers
14 Hours