Build the technical and leadership skills to manage responsible AI systems from development through deployment and continuous governance. Learn to structure traceable AI lifecycles, explain model decisions, create audit-ready documentation, assess and mitigate bias and model risk, align AI controls with enterprise risk frameworks, and measure governance effectiveness. You’ll also develop the cross-functional and regulatory foresight skills needed to keep AI systems transparent, accountable, and compliant as standards evolve.
Applied Learning Project
Apply your skills through authentic workplace scenarios that mirror the decisions AI, risk, and governance professionals face. AI-assisted dialogues, role-play, and open-ended questions will challenge you to explain model decisions to stakeholders, respond to bias and drift, evaluate governance trade-offs, coordinate across technical and compliance teams, and adapt policies to emerging requirements—building practical judgment rather than relying on a single prescribed answer.

















