Full course coming soon

AI Governance Systems: Design Controls for Production Deployment

7 chapters · 32 lessons

1. 1. Building the AI System Inventory

   4 lessons

   Create a structured registry that captures every AI system's owner, purpose, data, permissions, and status.

2. 2. Risk Classification Frameworks

   5 lessons

   Develop tiered risk models that match AI capabilities to appropriate oversight levels.

3. 3. Control Design and Mapping

   5 lessons

   Match technical and procedural controls to risk levels and deployment stages.

4. 4. Deployment Gates and Approval Processes

   4 lessons

   Build stage-gate systems that enforce controls before AI systems reach production.

5. 5. Production Monitoring and Verification

   5 lessons

   Implement continuous oversight that detects drift, boundary violations, and unexpected behavior.

6. 6. Incident Response and Remediation

   4 lessons

   Design playbooks for handling AI failures, breaches, and governance violations.

7. 7. Governance Program Maturity and Scaling

   5 lessons

   Evolve governance from ad-hoc reviews to embedded, automated, and organization-wide practice.