Introduction to Artificial Intelligence Governance

By the end of this course, learners will develop a foundational understanding of artificial intelligence governance. They will be able to define key terms related to AI and governance, explain the role of data governance in supporting AI initiatives, and recognize common AI risks and challenges. Learners will also gain insight into the evolving regulatory landscape surrounding AI and learn the basic elements involved in building an effective enterprise AI governance program.

Whether you work in compliance, legal, IT, data science, product development, security, or operations, understanding AI governance is essential. The decisions your organization makes around AI impact not only compliance and risk exposure but also public trust, ethical standards, and long-term success. This course equips professionals across all functions to contribute meaningfully to responsible AI development and use.

It ensures that your role, whatever it may be, supports transparency, accountability, and alignment with organizational goals and regulatory expectations. Learners can use this course as part of their study plan for the AIGP certification exam. As AI becomes more integrated into business operations, having a shared understanding of governance practices enables better collaboration, smarter decision-making, and a stronger organizational culture grounded in responsibility and trust.

This course is built on the Three C Principle - Clear, Concise, and Comprehensive. If you prefer this style of learning, this course is designed for you. It includes 8 videos, 5 downloadable study materials, and 5 self-study assignments.