Essential AI Governance: Bridging Responsible AI, Compliance, and Regulation

AI systems are rapidly integrating into core business operations, yet many organizations lack a clear understanding of how governance, compliance, and regulation can—and should—work in tandem. In this course, join responsible AI expert Rebekah Tweed as she explores how responsible AI principles intersect with regulatory frameworks and practical implementation strategies. Discover the essential skills and core concepts of building and managing AI systems responsibly. Along the way, find out how to mitigate organizational risk, regulatory penalties, reputational harm, and operational breakdowns with more robust forms of governance. This course equips professionals in any industry or role with tools to address risks through effective oversight.

Learning objectives
Identify regulatory, reputational, and operational vulnerabilities in your organization's AI systems.
Implement compliance frameworks including applying the EU AI Act and global regulatory requirements to real-world scenarios.
Build oversight mechanisms by designing and executing governance structures that prevent costly compliance failures.
Align AI operations with regulations by creating actionable strategies to close the gap between AI adoption speed and regulatory readiness.