Certification IAPP – Artificial Intelligence Governance Professional (in english only)

Formation en ligne en anglais

Accueil | Formations

Prochaine session :

Toutes les sessions :

14-15 Mai 2025 (FR)
26-27 Nov 2025 (FR)

Lieu

Paris et distanciel

Durée

2 jours

Langue

Français

Heures

de 9h00 à 17h30

Tarif par participant 2 jours (HTVA): 2.290 €
  • Adhésion à l'International Association of Privacy Professional
  • E-book (EN)
  • Frais d'examen
  • Livre en version électronique

Type : Certifications IAPP et DPO-CNIL

Public cible : DPO actuel et futurJuriste d'entreprisePersonne en charge de la protection des donnéesResponsable compliance

Formation uniquement animée en anglais

Why pursue an AIGP designation?

  • Establish foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles.
  • Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed.
  • Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
  • Presents awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.
  • Pursuing IAPP Artificial Intelligence Governance Professional certification

Introduction

Module 1 : Foundations of artificial intelligence

Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context.

Module 2 : AI impacts on people and responsible AI principles

Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI.

Module 3 : AI development life cycle

Describes the AI development life cycle and the broad context in which AI risks are managed.

Module 4 : Implementing responsible AI governance and risk management

Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems’ potential societal benefits.

Module 5 : Implementing AI projects and systems

Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment.

Module 6 : Current laws that apply to AI systems

Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform.

Module 7 : Existing and emerging AI laws and standards

Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed.

Module 8 : Ongoing AI issues and concerns

Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues.

Conclusion

Informations

MODALITES D’ACCES

  • Inscription en réservant votre place sur une session disponible ou par téléphone, par mail, par demande de contact. Vous recevrez un devis à nous retourner avec votre accord pour confirmer votre inscription.

FORMULE INTRA-ENTREPRISE

  • Contactez-nous

RESSOURCES PEDAGOGIQUES

  • Adhésion IAPP 12 mois + inscription à l’examen incluses
  • Cours théorique
  • Exemples concrets
  • Support de cours disponible sur votre compte personnel IAPP
  • Outil distanciel : Teams