Education & Training in AI

AI Education Objectives

SCAI's goal is to create a large unified teaching and research center entirely devoted to AI in all its diversity, ready to meet the scientific challenges of tomorrow.

Bachelor, Master & PhD

Continuing education

Professional training is at the heart of the national AI strategy, with the goal to educate AI talent at all levels. It is therefore necessary to propose new options and new formats for continuing education in connection with changes in usage but also through concrete experiments and articulated with actions aimed at certain categories of professionals. In this frame, SCAI supports multiple efforts in continuing education, such as:

Reinforcement learning - Concepts & Practice

AlphaZero, which beats the best players in the world at Go, the OpenAI robot that manipulates a cube from all sides or solves the Rubik's cube, a group of agents that beats professional players at StartCraft or Dota2, an algorithm that reduces the cooling bill of Google's computer centres by 40%, all of which are high-profile successes of reinforcement learning that have made it a major component of artificial intelligence.

This training will give you the basics to understand reinforcement learning and will guide you towards the implementation of the most commonly used algorithms in the field.

Every Thursday from 20 May 2021 to 17 June 2021 inclusive (5 Thursdays), from 9 am to 6 pm (35 hours).

https://scai.sorbonne-universite.fr/reinforcementlearning

Professional Training in Machine Learning & Artificial Intelligence

The objective of this training is to complement and enrich the skills of professionals in the areas of data analysis and information technologies in the following fields:

Mathematical and computer tools for data processing
Cloud Computing and Big Data tools
Machine-learning models, including deep learning
The regulatory and professional issues involving data, particularly in the areas of risk management

This training takes place 2 days/month (Friday and Saturday), from October to April.

https://formationmachinelearning.lip6.fr

Professional Training in Financial Engineering, Modeling, Simulation & Data Analytics

Sorbonne University Continuing Education and Ecole polytechnique Executive Education have joined their expertise in Science to offer the Financial Engineering Degree for executives, which is the Executive version of the famous Parisian degree in financial mathematics.

Taught by an educational team from the leading French universities, this program is focused on acquiring, completing and updating professional skills knowledge in Mathematical, statistical and numerical methods for financial markets, accounting for the recent developments of data science and artificial intelligence contributions.

The training takes place 2 days/month (Friday and Saturday), from October to May.

https://du-financial-engineering.fr

Short training in deep learning by practice & Artificial Intelligence

This short training identifies the opportunities of deep learning to meet business needs, as well as to add value in professional projects using deep learning.

The training offers the basics and the good practices of machine learning: to understand the general principles of a neural network, to understand the types of neural architectures and to know how to select them to treat a specific problem. The course also teaches visualization and interpretation of the results provided by a neural network.

The training takes place over 3 consecutive days, usually in June.

https://scai.sorbonne-universite.fr/deeplearning

Professional Training in Machine Learning and Artificial Intelligence - Sorbonne University Abu Dhabi

Launched in 2020 and based in Sorbonne University Abu Dhabi, this high-level training in Machine Learning and Artificial Intelligence, taught in English, offers a uniquely devised blend of lectures and practical classes, specifically tailored to the needs of the twenty-first century professional.

By acquiring honed competencies in the models and the tools of machine learning and big data, trainees are able to bring about critical innovation in technological, innovation-thirsty societies. Moreover, she/he will develop a mature understanding of the opportunities and challenges posed by a large-scale use of artificial intelligence devices (such as text mining, analysis of complex networks, image processing and online advertising etc.).

The training consists of three 30-hour Teaching Modules, each spanning a full week. Modules are scheduled once a month for three consecutive months.

Custom training in AI

SCAI also offers tailor-made professional training at the request of companies or public and private organizations.

Do not hesitate to contact us to discuss your needs and expectations.