AI Governance and Compliance (SF)
About This Course
This two-day course equips professionals with the essential knowledge and practical tools to navigate the evolving landscape of AI governance and regulatory compliance. Participants will explore global frameworks such as the EU AI Act and NIST AI RMF, and learn how to design, implement, and audit AI governance structures that align with legal and ethical standards. Blending expert-led discussions with hands-on exercises, the course prepares compliance officers, tech leaders, and risk managers to embed accountability, manage AI risks, and ensure responsible AI use across their organizations.
Participants will understand the foundational principles of AI governance and compliance, design and implement governance frameworks, assess and audit AI systems, and integrate AI oversight into enterprise-wide risk management.
What You'll Learn
LO2: Evaluate data assets and lineage documentation for deployed models, and measure data quality with defined metrics to ensure transparency, traceability, governance, compliance, and sound decision-making.
LO3: Evaluate model outputs for feature-specific biases and implement appropriate mitigation techniques.
LO4: Differentiate key AI governance practices to tailor reporting for diverse stakeholder needs.
Entry Requirements
Foundational understanding of AI concepts and applications.
Prior experience in AI governance, compliance, or risk management.
Familiarity with industry-standard AI frameworks and guidelines.
Recommended 1 to 2 years of relevant governance, risk or compliance work experience