Scaling AI Governance
Released 9/2026
By George Avetisyan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 5m 58s | Size: 152.6 MB
As AI adoption spreads across an enterprise, informal oversight stops scaling.
As AI adoption spreads across an enterprise, informal oversight stops scaling. Systems multiply, ownership blurs, and inconsistent standards create both risk and friction. In this course, Scaling AI Governance, you'll gain the ability to build governance that grows with your organization instead of slowing it down. First, you'll explore operating models for AI governance-comparing centralized, federated, and hybrid approaches and defining clear roles, authority, and accountability. Next, you'll discover how to standardize and operationalize oversight through consistent standards, review and escalation workflows, lifecycle checkpoints, and adherence measurement. Finally, you'll learn how to establish enterprise-wide visibility by building AI inventories, surfacing shadow AI, assigning ownership, and prioritizing governance by risk and business impact. When you're finished with this course, you'll have the skills and knowledge of enterprise AI governance needed to implement a scalable governance program and guide your teams toward consistent, accountable AI oversight.
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