Responsible AI and Governance Courses

21 courses on using and managing AI responsibly — the ethics, risks, security, and governance that bear on whether an AI system can be trusted. They're for professionals who use, deploy or oversee AI and need to do it safely: understanding bias, privacy, compliance, and how to keep AI systems accountable.

As AI is used in more decisions that affect people, the question is no longer only whether it can do a task, but whether it should, and how to use it safely. These courses cover the responsible side of AI: where bias and harm creep in, how privacy and data protection apply, what governance and compliance look like in practice, and how organizations keep AI systems secure and accountable. They're aimed at the people who carry that responsibility — managers, analysts, compliance and risk staff, accountants, educators, and anyone using AI where getting it wrong has consequences. The emphasis is judgment and process rather than code: what to ask about an AI system before relying on it, and which controls to put around it.