I know how hard it is to make Responsible AI real, because I've been in the rooms when things go wrong. From audits on jobs, loans, and housing to fixing systems that should not have launched, I've helped teams move from "we believe in responsible and ethical AI" to concrete governance steps.

Across startups, global firms, and regulators like the European Commission, I've seen how wide the gap is between theory and practice. With dozens of frameworks out there, most explain what values to uphold, such as fairness, transparency, and accountability, but rarely how to embed them in fast-moving teams with tight budgets. This course cuts through the noise. In one power session and a deep dive, you will get practical tools to turn RAI ambitions into governance that sticks without losing momentum.