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AI Governance and Management Systems
Rating: 4.5 out of 5(69 ratings)
474 students

AI Governance and Management Systems

Mastering AI Governance: Risk, Compliance, and Management Systems for Business Success
Created byAdrian Resag, QIAL, CMIIA, CIA, CRMA, CFSA, GRCP, IAAP, CIMA Adv Dip MA
Last updated 2/2025
English
German [Auto],English [Auto],

What you'll learn

  • AI in Governance, Risk, and Compliance (GRC) – Explore AI’s role in managing risks, ensuring compliance, and supporting corporate governance.
  • AI Risk Management – Identify and mitigate risks associated with AI systems, including ethical risks and cybersecurity threats.
  • AI Compliance & Regulations – Understand global AI regulations, including the EU AI Act and ISO 42001.
  • AI Data Analytics – Learn how AI is used for risk detection, compliance monitoring, and advanced data analysis.
  • AI Maturity Models & Ethical Considerations – Assess AI adoption stages and implement ethical AI principles.
  • Planning & Implementing AI Management Systems (AIMS) – Step-by-step guidance on integrating AI governance frameworks.
  • Auditing AI Systems – Apply auditing techniques to AI implementations, ensuring transparency and accountability.
  • ISO 42001 Compliance & Implementation – Learn the requirements of ISO 42001 and how to apply them in an organization.
  • AI Governance Best Practices – Establish AI policies, frameworks, and governance strategies for long-term success.

Course content

3 sections • 15 lectures • 3h 28m total length

  • AI Risks11:23

    Examine AI risks, including deepfake scams against a CFO, chatbot manipulation, and AI-specific threats—data poisoning, model stealing, and model inversion—plus ISO 42,001 protection and an AI use maturity model.

  • The Basics of AI10:22

    Discover the basics of artificial intelligence, from machine learning and neural networks to probabilistic outputs, and explore governance concepts like ISO AI standards and AI risk management.

  • Types of AI Systems15:36

    Explore the varieties of AI systems, from AI agents that perceive inputs and act to symbolic and subsymbolic approaches, and learning paradigms from supervised to reinforcement learning.

  • Classification of AI According to the EU AI Act10:21

    Explore the EU AI act’s risk-based classification from minimal to unacceptable risk, and learn how high-risk systems demand transparency, risk assessments, data quality, human oversight, and robust documentation.

  • Ethical Principles of AI7:46

    Promote fairness and prevent discrimination by ensuring explainable, accountable artificial intelligence systems with human oversight, while establishing reliability, privacy, and security to pursue shared benefits for society.

Requirements

  • No prerequisites are required.

Description

This course is designed to equip professionals with the skills and knowledge to manage AI systems within their organizations, mitigate risks, and ensure compliance with frameworks. Led by Adrian Resag, an experienced AI governance and risk management expert, this course explores AI's role in corporate governance, data analytics, risk assessment, and compliance strategies.

Participants will gain hands-on insights into AI-powered risk management, ethical considerations, and AI maturity models. The course covers everything from basic AI concepts to the implementation of an Artificial Intelligence Management System (AIMS), providing practical guidance on integrating AI into business operations.

What You Will Learn

  • Introduction to Artificial Intelligence – Understanding AI fundamentals and classifications.

  • AI in Governance, Risk, and Compliance (GRC) – Exploring AI’s role in information security, data management, and regulatory compliance.

  • AI Data Analytics – Using AI for risk detection, compliance monitoring, and advanced data analysis.

  • Planning & Implementing AI Management Systems – Step-by-step guidance on integrating AI governance frameworks, including ISO 42001.

  • AI Risk Management & Ethical Principles – Understanding AI risks, ethical AI frameworks, and maturity models.

  • AI Auditing & Compliance – Applying ISO 42001, understanding regulatory requirements, and auditing AI systems.

This course includes practical exercises, real-world case studies, and step-by-step implementation strategies to ensure you can effectively apply AI governance principles in your organization. Whether you are a risk manager, auditor, compliance officer, or business leader, this course will help you leverage AI while ensuring responsible and compliant deployment.

Who this course is for:

  • Governance, Risk, and Compliance (GRC) professionals
  • AI and IT managers
  • AI project managers and system implementers
  • Business leaders and decision-makers implementing AI
  • Internal and external auditors
  • Anyone interested in AI governance, risk, and compliance

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