
“This course contains the use of artificial intelligence.”
Course Introduction
AIGP: Artificial Intelligence Governance Professional
Artificial Intelligence is rapidly transforming the way organizations operate, innovate, and compete. As AI adoption accelerates across industries, organizations face increasing challenges related to ethics, governance, risk management, regulatory compliance, transparency, and responsible AI deployment. The ability to govern AI effectively is no longer optional. It is a critical business requirement.
The Artificial Intelligence Governance Professional (AIGP) course is designed to equip business leaders, governance professionals, risk managers, compliance officers, security practitioners, legal teams, and technology professionals with the knowledge and skills needed to establish, manage, and oversee responsible AI programs. This course provides a comprehensive understanding of AI governance frameworks, policies, regulatory considerations, risk management practices, and organizational controls that help ensure AI systems are trustworthy, transparent, secure, and aligned with business objectives.
Throughout this course, learners will explore the principles of responsible AI, emerging legal and regulatory requirements, AI risk assessment methodologies, governance structures, ethical considerations, data governance practices, and ongoing monitoring requirements. Students will gain practical insights into implementing governance programs that balance innovation with accountability while helping organizations manage AI-related risks and compliance obligations.
By the end of this course, participants will understand how to develop and support enterprise AI governance initiatives, evaluate AI risks, establish effective oversight mechanisms, and contribute to the responsible and compliant use of artificial intelligence within their organizations. Whether you are pursuing the AIGP certification or seeking to strengthen your organization’s AI governance capabilities, this course provides the foundational and practical knowledge needed to succeed in today’s AI-driven business environment.
What You Will Learn
Core concepts of AI governance and responsible AI
AI risk management frameworks and methodologies
Regulatory and legal considerations affecting AI systems
Ethical principles and trustworthy AI practices
Data governance and privacy considerations for AI
AI accountability, transparency, and explainability
Governance structures, policies, and oversight models
Monitoring, auditing, and continuous improvement practices
Enterprise AI governance implementation strategies
Alignment of AI initiatives with business objectives and compliance requirement
Course Prerequisites
There are no formal prerequisites for this course. However, a basic understanding of business operations, risk management, compliance, information technology, or artificial intelligence concepts will be beneficial.