Professional Training

3IA-EFELIA Côte d'Azur: Training courses for every company

  Image by Alan Warburton / © BBC / Better Images of AI / Nature / CC-BY 4.0
  • For every  type of audience, technical or non-technical, of every corporation:
    • advanced in AI
    • in transition to AI
  • Customisable training menus:
    • 1 to 5 day programmes
    • With or without practice
    • Adaptable to focus on AI methods and applications targeted by the company
    • In English or French
  • Taught by recognised academic excellence: 3IA researchers
  • Ongoing sessions for: STMicroelectronics, Ecole de l'Air ...

For more information, contact us at

Customisable training menus for companies

Consult the training catalog

 / 1
Introduction to Artificial Intelligence 1
  • Overview and principles of approaches
  • ChatGPT, opportunities across various domains
  • Ethical, legal and societal issues

Target audience: Non-engineers or engineers, all levels, all professions
Duration: 3 to 9 hours

Introduction to Artificial Intelligence 2
  • Overview of methodological approaches in AI (data mining, data science, machine learning, artificial neural networks)
  • Pattern recognition, dimension reduction and generative methods
  • Text generation, ChatGPT, uses and prompt engineering
  • Knowledge representation
  • Structured data and rule inference

Target audience: Engineers
Duration: 12 to 30 hours

Statistical Learning
  • Statistical foundations and machine learning
  • Statistics in large dimensions
  • Small sample statistics
  • Statistics for missing data

Target audience: Non-engineers or engineers with master degree or equivalent
Duration: 12 to 24 hours

Deep Learning
  • Introduction to machine learning and deep learning
  • Deep learning for vision (CNN)
  • Deep learning for text (Transformers)
  • Generative methods

Target audience: Engineers
Duration: 12 to 30 hours (2 to 5 days)

Generative AI 1
  • Foundation models, Prompt engineering
  • Opportunities and challenges for companies (programming, HR, etc.)

Target audience: Non-engineers or engineers with master degree or equivalent
Duration: 3 to 9 hours

Generative AI 2
  • Transformers, Foundation models and adaptation: fine-tuning, prompt engineering, prompt tuning
  • Resources, performance analysis, biases
  • Limits and challenges for research and innovation

Target audience: Engineers
Duration: 6 to 12 hours