Corporate AI Governance Structures

Course Description

A fast, practical primer on how enterprises govern AI—from setting up ethical oversight to embedding controls across the AI lifecycle. You’ll learn the structures, roles, and processes that keep AI initiatives compliant, auditable, and aligned with business risk appetite.

Who Should Take This Course

Designed for managers, team leads, product owners, compliance/risk professionals, data leaders, and consultants who need a clear, non-technical understanding of how to stand up and run effective AI governance within their organisation.

Prerequisites

No prior experience needed.

What You Will Learn

• How to establish and operate AI ethics boards and oversight committees
• Role definitions and responsibilities for AI governance officers and related stakeholders
• Governance touchpoints across MLOps and the end-to-end AI lifecycle
• How to draft, socialize, and review internal AI policies and standards
• Practical mechanisms such as RACI matrices, decision logs, and model registers
• Ways to align governance with risk management, compliance, and auditing needs