• Diploma issued:
    Master of Science in Generative AI (Bac + 6) & RNCP level 7 d'aivancity
    Input level:
    Bac+5
    Format:
    Part-time seminars on Fridays and Saturdays every other week Continuing education or sandwich courses
    Languages:
    French
    Next entries:
    October
    Place of re-entry:
    Paris-Villejuif Campus
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    State-recognized school
    eduniversal
    Our program won the Innovation Award in the field of Artificial Intelligence.

Cursus

Entry-level

Bac+5experienced managers

Route

4 Certificates4 Certificates

Format

  • Boarding for aivancity, a pre-training program
  • Back-to-School Seminar
  • 4 certificates – 24 two-day seminars – Fridays and Saturdays every other week
  • A one-week study trip to Silicon Valley
  • Tutoring: Projects, Professional Theses, and Careers

A 12-month part-time program to become a Generative AI Project Manager

Year 1
Certificate 1: Low-Code and No-Code Approaches to Generative AI 
  • Introduction to Artificial Intelligence and Generative AI
  • Fundamentals of Mathematics and Statistics for Generative AI
  • Data Management and Preparation for Generative AI
  • Fundamentals of Classical AI
  • Rapid Prototyping and Workflow Automation, AI and Generative AI
  • Deployment of Hybrid and Sovereign AI Architectures
Certificate 2: Development and Modeling of Generative AI 
  • Typology and Architecture of Generative Models
  • Large Language Models (LLMs)
  • Model Fine-Tuning and Adaptation Techniques
  • Advanced and multimodal architectures
  • Rapid Engineering and Output Optimization
  • Agentic AI
Certificate 3: Applications and Integration of Generative AI in Business
  • Generative AI Strategy for Businesses
  •  Generative AI and Robotic Process Automation (RPA & AI)
  • Generative AI and Customer Relations (Chatbots, Virtual Assistants)
  • Business Transformation, Value Creation, and Organizational Impact
  • Environments, Infrastructure, and Enterprise Integration
  • Case Studies: Deployment and Real-World Testing
Certificate 4: Ethics, Regulations, and Governance of Generative AI 
  • Regulatory Framework and Compliance (GDPR, AI Act, DSA, DMA)
  • Ethics and Bias in Generative AI Models
  • Security, Governance, and Auditability of Generative AI
  • Environmental Impact and Sustainable Optimization
  • Advanced Evaluation and Model Improvement
  • Performance Optimization and Cost Reduction