Degree RNCP Level 7 qualification — Bac+6
Entry Level Bac+5
Format Part-time — Fri. & Sat. every other week
Duration 12 months
Languages French
Campuses Paris-Villejuif
Intake October
RECOGNISED
State-recognised
Institution
Decree of 24/02/2023
 
Eduniversal Innovation Award for Generative AI
Eduniversal Innovation Award
Master's in Artificial Intelligence

Eduniversal 2026

Introduction

This one-year diploma course, the only one of its kind, is designed for professionals wishing to become experts in generative AI, gaining a thorough understanding of both the technical aspects and the strategic and operational challenges involved in its deployment within organisations.

By joining this programme, participants will develop the key skills needed to design, integrate and manage solutions based on generative AI, whilst ensuring they comply with ethical, regulatory and organisational requirements.

This course is aimed at professionals holding a five-year postgraduate qualification, preferably with relevant experience, who are looking to progress into roles such as generative AI consultant, generative AI project manager or generative AI solutions architect within all types of organisations (companies, charities, educational establishments, public bodies, etc.)

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pepper robot on campus
aivancity: the vision of a pioneering AI school

What makes this program unique?

  • Hybridizing technological, business and ethical aspects
  • An organization that reconciles work and study
  • One of the most interdisciplinary teaching teams in Europe
  • Relationships with technology partners and companies, enabling students to work on real-life problems in a variety of sectors
  • A campus in Villejuif, 15 minutes from the center of Paris, with state-of-the-art teaching and technological facilities.
  • A diploma with a lifetime update guarantee© including 5 years free of charge
  • A learning trip to the heart of Silicon Valley's AI ecosystem

Qualifications

Learning objectives

  • Master the fundamental and advanced principles of generative AI models (LLMs, diffusion models, transformers, etc.).
  • Build and train generative AI models adapted to the needs of organizations.
  • Acquire skills in deploying, optimizing and monitoring generative AI.
  • Understand the ethical, regulatory and organizational issues surrounding generative AI.
  • Develop a strategic and operational approach to integrating generative AI into business processes.