AI Governance & Risk Management

Understand risk frameworks and regulations for responsible AI deployment

Formation

Disponible à tout moment

Certificat

E-learning

14 heures

Réalisable en ligne

Référence de la formation: FR-GL-AI-Babl-03

As AI becomes a core part of business operations, organizations face increasing regulatory and risk management challenges. This course provides professionals with the essential knowledge to assess, design, and improve AI governance and risk management systems. You will explore key risk frameworks, understand how governance structures work, and review emerging regulations impacting AI systems globally

This course is part of BABL AI's AI & Algorithm Auditor Certification Program, which builds core skills for AI auditing, governance, and regulatory compliance.

Les objectifs

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Gain a clear understanding of governance and risk frameworks
Learn to assess and enhance AI risk management practices
Understand emerging global AI regulations

Strengthen your role as an AI auditor or risk management professional

Le public ciblé

This course is ideal for:

AI auditors and compliance professionals
Risk analysts and assurance specialists
Policy and legal experts in AI governance
Data protection officers and ethics officers
AI governance and responsible AI teams
Business and technology leaders
Technology and risk consultants

Les prérequis

No coding experience required (basic AI/ML knowledge helpful)
Basic understanding of computer science and data concepts beneficial
English proficiency required
Strong critical thinking and risk assessment skills recommended

Designed for professionals in governance, risk, and compliance roles with or without technical backgrounds.

Le contenu de la formation

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The training includes:

Purpose and goals of risk management in AI
Building blocks of AI governance: people, processes, technology
Key risk management frameworks for AI systems:
- NIST AI Risk Management Framework
- COSO ERM
- SR11-7 Model Risk Management
- ISO 31000, ISO 23894, ISO 42001
- ForHumanity AI RMF
Overview of global regulatory landscape:
- EU: AI Act, DSA, GDPR
- US: EEOC, FTC, AI Bill of Rights, NYC Local Law 144, Algorithmic Accountability Act
- Other international efforts

Informations importantes

This course is part of BABL AI’s AI & Algorithm Auditor Certification Program, which provides a complete foundation in AI auditing, risk management, and compliance.

Approximative duration 2 days and comprises 11 learning units

Recommended equipment for accessing the Training Area :

To get the most out of your online training, make sure you have the following equipment:

Computer: PC or Mac
Internet connection: stable and good quality
Web browser: recent version of Chrome, Firefox, Edge or Safari
Office suite: OpenOffice, Microsoft Office or equivalent (spreadsheet, word processing, presentation, etc.)
PDF reader: To view your training materials
Storage: File storage capacity (hard drive, cloud, etc.)

You can contact the TÜV Rheinland team for assistance in setting up your training course.

Tip: Make sure your hardware and software are up to date for an optimal experience!

If you have a disability, please contact us before registering by sending an email to formation@fr.tuv.com. We will do everything we can to meet your training needs.

FAQ Suggestions

1. Do I need technical expertise to join this course?
No. The course is designed for professionals in governance, risk, and compliance roles and is accessible without a technical background.

2. What frameworks will I learn about?
You’ll cover NIST, COSO, SR11-7, ISO standards, and ForHumanity AI RMF, plus current regulatory efforts worldwide.

3. How will this help me in my role?
You will gain the knowledge and tools to audit, assess, and improve AI risk and compliance frameworks within your organization.

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