Training for companies and academics

From initiation for non-expert to advanced topics, Qarma designs personalized training sessions, in french or english, for engineers and researchers in companies and academic labs.

Available training programs

Please contact us.

Examples of past training sessions

  • November 16-17, 2023, Collège Doctoral, Marseille: Python scientifique débutant et avancé.
  • August 28-September 1st, 2023, ILCB summer school, Marseille: Python programming and machine learning.
  • May 22-26, 2023: Fundations of machine learning and deep learning, CNRS formation.
  • October 24-27, 2022, Collège Doctoral, Marseille: Python scientifique débutant et avancé.
  • October 10-13, 2022, Onet Technologies, Marseille : Python scientifique et interfaces graphiques.
  • August 29-September 2nd, 2022, ILCB summer school, Marseille: introduction to machine learning.
  • August 30-September 3rd, 2021, ILCB summer school, Marseille: introduction to machine learning.
  • May 18-21, 2021, Marseille: Fundations of machine learning and deep learning, CNRS formation.
  • November 23-26, 2020, Marseille: Fundations of machine learning and deep learning, CNRS formation.
  • August 31-September 4, 2020, ILCB summer school, Marseille: beginner and advanced machine learning courses.
  • December 11-12, 2019, Marseille: Advanced course in machine learning, Interface program CIRM-Industry in machine learning, CNRS formation.
  • December 9-10, 2019, Marseille: Introduction to machine learning, Interface program CIRM-Industry in Machine Learning, CNRS Formation.
  • September 2-6, 2019, Marseille: machine learning courses at ILCB summer school.
  • June 2018, 2 days, Inter-entreprise, Marseille: Kernel methods in Machine Learning.
  • April 2018, 4 days, Lille: Machine Learning: from basic concepts to deep learning.
  • PASCAL Bootcamp 2010 (see courses on videolectures).
  • Ecole de Printemps en Informatique Théorique, Porquerolles, mai 2008, 5 jours.

Contact

If you want more information, please contact us at Cecile.Capponi @ lis-lab.fr