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Aerospace Education Catalogue

DIU Machine learning et intellignece artificielle

  • Organisation: Sorbonne Université - Faculté des Sciences et Ingénierie
    (Sorbonne Université)
  • Type of Course: Life-long learning
  • Language(s): French
  • Place: Sorbonne Université (French Regions: Ile-de-France)
  • Prepared diploma/grade/title: DU or DE: Specific French University/Higher Education Institute one-year diploma (other acronyms: DES, DSP, DESA, DESU, DESUT)
  • Level of entry: French Baccalaureat + 3

Course Details

Objectives: The Machine Learning and Artificial Intelligence certification aims to complement and enrich the skills of employees in the sectors of big data exploitation and to enable the performance of predictive analyses that respond to the company's issues.

The specificity of this training lies in the equal association between computer science and mathematics, while striving to maintain a strong professionalizing aspect.

This training must allow its graduates to rapidly advance their careers in the sectors of data analysis and information technology. By closely combining a computer science, mathematics, and business knowledge dimension, it will give trainees the ability to model, code, and analyze the results and consequences of a data scientist approach. In particular, it will provide its graduates with the ability to move into the consulting sector (where there is a growing demand for data experts), or to develop new industrial approaches within a company seeking to enhance the value of its data.

This certification is based on one of the 34 plans of the New Industrial France dedicated to Big Data which has been transformed into a Data Economy solution whose 2020 objective is to create and consolidate 137,000 jobs.

Intended for: This training is aimed at a variety of profiles, all united around a strong motivation to acquire skills in data science.

This training is aimed at technicians and executives with a good level in mathematics and/or computer science, and wishing to develop skills in machine learning, deep learning, artificial intelligence or massive data processing.

Duration and terms: 98h

Dedicated web site: https://fc.sorbonne-universite.fr/nos-offres/machine-learning-et-intelligence-artificielle-formation-continue/

Disciplines

  • Engineering Sciences
  • Applications, Operations

Topics

  • 11 - Data Sciences: Applied Mathematics, Signal and Image Processing, Cryptography, Artificial Intelligence (machine learning, big data, etc.), Computer Science, Cloud, Software Engineering, Virtual Reality, Virtualization, Digital Twins, Metaverse, etc.