ARTIFICIAL INTELLIGENCE AT SORBONNE UNIVERSITY

SORBONNE.AI

An initiative to offer AI training programs for undergraduate and graduate levels, as well as a continuing education program
Type
National project
Start date
1 Sep 2022
End date
31 Aug 2027
Location
Paris
ARTIFICIAL INTELLIGENCE AT SORBONNE UNIVERSITY

SORBONNE.AI

An initiative to offer AI training programs for undergraduate and graduate levels, as well as a continuing education program
Start date
1 Sep 2022
End date
31 Aug 2027
Type
National project
Location
Paris

Sorbonne.AI, a project associating all three faculties of Sorbonne University, has the ambition to train students from all academic backgrounds in the fundamentals of AI and data science.

Sorbonne.AI, a project associating all three faculties of Sorbonne University, has the ambition to train students from all academic backgrounds in the fundamentals of AI and data science. 

The project focuses on three areas, with strategies adapted to each student population.

The first, dedicated to initial education, should offer the emergence of a true continuum of training in AI from the first year of the bachelor's degree to the last year of the master's degree in science and engineering.

The second, in partnership with Openclassrooms, is to design an online academic program that is open, adapted and accessible to our entire student community.

The third is to develop our course offers in continuing education with the support of the startup datacraft and several professional associations, in order to contribute to the dissemination of AI skills to companies and public administrations

Objectives
Increase the number of students at the Bachelor's and Master's levels by offering a coherent set of training courses
Create a Professional Certificate in AI that is open to all Sorbonne Université students
Triple the number continuing education courses offered
Provide training courses that are accessible to people from all backgrounds

Objectives

Increase the number of students at the Bachelor's and Master's levels by offering a coherent set of training courses
Create a Professional Certificate in AI that is open to all Sorbonne Université students
Triple the number continuing education courses offered
Provide training courses that are accessible to people from all backgrounds

Our partners

DataCraft

Datacraft enables an exchange of best practices between data experts. It is a unique club model, designed to allow data scientists/data engineers to learn from their peers and to allow companies to accelerate their AI/data projects.

The first datacraft Club opened in Paris in February 2020. It gathers 26 large public and private companies and more than 600 data experts researchers and freelancers in residence.

Datacraft brings a unique approach to learning with its weekly workshops: datacraft workshops are very practical ways to share good practices, starting from a data set presented by a member company, together with an associated model and an issue to solve. datacraft has also developed innovative acculturation tools, such as a digital escape game which allows non-experts to understand while playing as a team what a data project is.

OpenClassrooms

Established in 2013, OpenClassrooms is one of the largest global education-to-employment platform providers, with 355,000 students across 140 countries, thousands of full-time diploma students, and hundreds of corporate customers.

OpenClassrooms is a private, B-Corp-certified distance-learning organisation registered with the Board of Education in Paris (France), and accredited by the French Ministry of Labour's agency France Compétences.

OpenClassrooms’ role in SORBONNE.AI is to give access to +50 online modular training courses on AI & Machine Learning to 5 000 Sorbonne University students.

Modular training for AI exploration

The university is developing an extensive modular online training program for students from all three faculties to investigate AI. This program is open to students from the first year to the doctoral level, and is aimed at obtaining a professional certificate of competence in AI. The university is partnering with Openclassrooms to benefit from their expertise in online course development and their existing portfolio of training courses.

Our approach integrates deep neural networks with traditional physical models to capture complex climate dynamics across multiple temporal and spatial scales. We leverage large-scale climate datasets and state-of-the-art architectures including transformers and graph neural networks.

To participate in this training, you can visit the dedicated platform (link below) and register to receive an Openclassrooms licence.

Visit and register at SCAI Education

Undergraduates & master’s

The objective of the university is to enhance education from the first year of a Bachelor's degree to a Master's degree, forming a seamless flow of AI studies. This will be achieved by introducing new courses in the first year of a Bachelor's degree, a new mathematics course, and a new minor program that will allow students from different scientific disciplines to learn the basics of data science and AI.

List of courses

Starting from September 2023, the university will be launching a minor program in data sciences, which will be open to students from all other Bachelor's programs offered by the Faculty of Sciences and Engineering. The Data Science & AI minor is a cross-disciplinary minor dedicated to acquiring the necessary skills in computer science and mathematics to meet the modern challenges posed by data science and artificial intelligence (AI). This minor is open from the second year of the bachelor's degree to all students in the Faculty of Science who wish to add a data and AI focus to their course (Chemistry, EEA (Electronics, Electrical Energy, Automation), Mechanics, Physics, Earth Sciences and Life Sciences).
https://sciences.sorbonne-universite.fr/formation/offre-de-formation/licences/mineures-transdisciplinaires-thematiques/mineure-science-des

The university will be upgrading its four current courses of excellence in Data Science and AI, as well as several mathematics courses, to the Master's level. Additionally, new, cutting-edge courses will be introduced in over a dozen Master's programs across the university's three faculties (Science and Engineering, Arts and Humanities, and Medicine). These courses will be taught using a combination of traditional classroom teaching and innovative co-modal teaching methods.

Scholarships

As part of this program, the university also offers grants for internships and mobility opportunities, which are open to all students from the faculties of Arts and Humanities, Medicine, Science and Engineering. Further information will be provided soon.

Training for professionals

There will be a four-fold increase in training activities for professionals, with the support of the company Datacraft and several trade unions, aimed at promoting AI in companies and public organisations.

Diploma programs
◼️
Machine Learning and Artificial Intelligence (MLIA)
◼️
Financial Engineering, Modeling, Simulation and Data Analytics
Short programs
◼️
Deep Learning in Practice
◼️
Artificial Intelligence: Reinforcement Learning - Concepts and Implementation
◼️
Hybrid Machine Learning Program (in partnership with Openclassrooms)
◼️
Acculturation to AI (in partnership with Datacraft)

More information

Contact Us

ALCHATZIDIS Dimitris

If you need more information about this project, feel free to reach out to ALCHATZIDIS Dimitris.

[email protected]

This project has received funding from the Agence Nationale de la Recherche’s France 2030 programme under the grant reference ANR-22-CMAS-006.

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