Continuing education

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.

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:

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.

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.

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.).

This training is designed for individuals without a legal background and provides you with the necessary tools to comprehend digital laws and regulations. It equips you with best practices for compliance and enables you to anticipate future developments in the field.

This course, taught by legal experts, is aimed at non-lawyers. The law and regulation of digital activities are undergoing major changes. Several major European texts have been adopted or are currently being negotiated. They cover the circulation of personal and industrial data, artificial intelligence and cybersecurity. The aim of this training course is to present this evolving legal framework, learn about best practices for complying with it and anticipate future developments.

This course is aimed at non-specialists and will give you a better understanding of how ChatGPT works and its limitations.

Artificial intelligence techniques are evolving very rapidly and have a direct impact on our daily lives: search engines, recommendation systems, medical imaging and now ChatGPT. This course, taught by experts in artificial intelligence, is aimed at non-specialists. This course will give you a better understanding of how ChatGPT works and its limitations. We will decipher the underlying mechanics of artificial intelligence systems with regard to different applications (text or image generation, information retrieval, translation systems, conversational systems, etc.). Once the functional aspect has been explained, the challenge will be to take a step back from the uses of these algorithms, in particular ChatGPT, to understand the opportunities and risks associated with the introduction of these new technologies into society.