AI Governance and Compliance
About This Course
This two-day course provides a comprehensive exploration of the frameworks, policies, and regulatory considerations essential for building effective AI governance and ensuring legal and ethical compliance.
Through a combination of expert-led sessions, case studies, and hands-on exercises, participants will gain the skills needed to implement AI governance structures, assess regulatory obligations, and manage AI risks throughout the lifecycle. The course covers global regulations—including the EU AI Act and NIST AI RMF—while also focusing on internal control mechanisms, accountability frameworks, and auditing practices.
Designed for compliance officers, technology leaders, risk managers, and AI project teams, this course bridges the gap between high-level policy and operational best practices, equipping professionals to develop and oversee responsible, trustworthy AI initiatives.
What You'll Learn
• Learn directly from industry experts through a dynamic blend of interactive sessions, real-world case studies, and hands-on exercises that equip you to design governance structures, assess compliance obligations, and manage AI-related risks effectively.
• Tailored for compliance professionals, technology leaders, and risk managers, this course bridges the gap between policy and practice, empowering you to confidently oversee responsible and trustworthy AI deployment in your organization.
Entry Requirements
Learners should have a basic understanding of AI and data governance, along with introductory knowledge of compliance and regulatory frameworks.