AI Governance for Business Leaders: Policy to Practice

About this course

This course contains the use of artificial intelligence.

Artificial intelligence is moving rapidly from experimentation into everyday business operations. Yet many organizations still struggle to translate high-level policies, ethical principles, and regulatory expectations into practical decisions, workflows, controls, and accountability.

AI Governance for Business Leaders: Policy to Practice is designed to help leaders close that gap.

This course provides a practical, business-focused approach to AI governance, responsible AI, risk management, and enterprise AI adoption. It is built for professionals who need to guide AI initiatives, establish oversight, manage uncertainty, and ensure that innovation happens responsibly.

You will begin by understanding why AI changes the leadership contract and what executives must do differently as AI becomes embedded across functions. You will develop the AI literacy needed to evaluate capabilities, limitations, vendor claims, model risks, and emerging forms of agentic AI without becoming a technical specialist.

From there, you will learn how to identify valuable AI opportunities, prioritize use cases, and build an AI portfolio that balances business value, feasibility, readiness, and risk. You will explore how to design an effective AI operating model, including decision rights, governance forums, escalation paths, funding processes, business ownership, and executive accountability.

The course also examines the foundations required for responsible implementation, including data governance, privacy, cybersecurity, technology architecture, vendor management, procurement, talent, and organizational readiness. You will learn how to redesign human and AI workflows, determine where human judgment is essential, establish review thresholds, and create reliable

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