AI governance for DPOs with practical aspects

About this course

What happens when AI goes wrong  and who's responsible?If you can't answer that, this course is for you.AI systems are making decisions about people every single day — who gets a loan, who gets hired, whose medical scan gets flagged, whose content gets removed. And behind every one of those decisions is a chain of choices: about data, about risk, about accountability, about compliance. Someone has to govern those choices. That someone needs to be trained.This course takes you from the very beginning — what is personal data, and why does it matter? — all the way to the frontlines of AI governance: deploying responsible AI systems, navigating the EU AI Act, managing risk across the full AI lifecycle, and understanding what it means when a General-Purpose AI model like GPT-4 operates under regulatory obligations for the first time in history.Along the way, you'll learn how to govern the data that trains AI. How to assess readiness before deployment. How to monitor, audit, and maintain AI systems after they go live. How to handle incidents, manage vendors, and make public disclosures that meet transparency obligations. How privacy law — from GDPR to the laws of 144 countries — shapes every decision an AI team makes.In plain language. With real examples. Built for people who are starting from zero and finishing as professionals.The AI industry is moving fast. The regulatory world is catching up. The professionals who understand both are the ones the world urgently needs.This is the course the AI industry needs people to take.