AI Governance: A Complete Guide for Professionals

About this course

This course contains the use of artificial intelligence.

AI is everywhere in your organization. Governance usually isn't.

The EU AI Act is in force. GDPR Article 22 still applies. Your CFO wants to know how much you're spending on LLM APIs. Your legal team is asking who signs off on the new AI hiring tool. And someone in marketing just pasted a client list into a chatbot.

This course gives you a complete, working AI governance framework you can apply in your organization immediately. No theory-heavy slides. No vague principles. Just the structures, policies, and artefacts that real governance programs run on.

What you will build

In three hours, you'll work through 30 focused lectures organized into 7 sections. You'll go from "why governance matters" to writing your own AI Model Card, Acceptable Use Policy, Incident Response runbook, and a 90-day implementation roadmap. Then you'll apply everything in a capstone lab: a full governance scorecard for a fictional retailer with five AI systems across three departments.

What's inside

The 6 pillars of AI governance and how to score against themEU AI Act risk classification, GDPR overlap, and US frameworks (NIST AI RMF, Colorado AI Act)A repeatable risk assessment process for any AI system

Bias auditing, privacy risks, and third-party vendor due diligence

Generative AI specifics: prompt governance, output validation, cost controls

Downloadable templates you can drop into your own organization

Hands-on labs and a scorecard you keep as a portfolio piece

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