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AIGP - Artificial Intelligence Governance Professional
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AIGP - Artificial Intelligence Governance Professional

Mastering Responsible AI, Risk Management, Compliance, and Enterprise Governance
Created byShane Coffey
Last updated 10/2026
English

What you'll 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 requirements

Course content

17 sections • 96 lectures • 11h 55m total length
  • AI Definitions and Subfields8:13
  • Core Characteristics Demanding Governance6:41
  • Taxonomy of AI Risks and Harms6:58
  • Responsible AI Principles8:39
  • Contextual Governance Approaches8:41
  • Ecosystem Roles & Value Chain Dynamics9:06

Requirements

  • No prior AI governance experience is required.
  • Basic understanding of business operations, risk management, compliance, or information technology is helpful.
  • Interest in responsible AI, governance, ethics, and regulatory compliance.
  • Willingness to learn how organizations implement and manage AI governance programs.
  • Access to a computer with an internet connection.

Description

“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.

Who this course is for:

  • Governance, Risk, and Compliance (GRC) professionals
  • Information Security and Cybersecurity practitioners
  • Privacy and Data Protection professionals
  • Legal and Compliance specialists
  • Internal Auditors and Risk Managers
  • AI Program Managers and Project Leaders
  • Business Executives and Decision Makers
  • Technology Leaders, Architects, and Consultants
  • Professionals pursuing the AIGP certification
  • Anyone responsible for implementing or overseeing AI initiatives