AI Governance & Responsible AI
Help organisations deploy AI without breaking the law, their customers' trust, or their own systems.
Why it's in demand
Regulation arrived faster than the people qualified to interpret it
Realistic timeline
2–4 months to a working command of the frameworks
Free resources
5 curated links
AI governance is a genuinely new profession, and it's opening up faster than universities can teach it. It sits between compliance, security and engineering — which is exactly why so few people are qualified for it.
You don't need to be a lawyer or an ML researcher. You need to understand how these systems fail, what the frameworks require, and how to hold a documented conversation about risk.
What you'll be able to do
- Map an AI system against real frameworks like the NIST AI RMF and the EU AI Act
- Run a risk assessment on a model before it reaches production
- Translate between legal, technical and executive audiences
Start here
Govern AI-ready infrastructure
Governance, policy and control for AI workloads. Completing it earns a Microsoft Learn badge.
Responsible AI business principles
Fairness, accountability and transparency turned into decisions a business can actually make.