Aerospace Education Catalogue

Courses

Stage - Deep Learning par la pratique

Organisation: Sorbonne Université - Faculté des Sciences et Ingénierie
(Sorbonne Université)
Type of Course: Life-long learning - short courses (advanced)
Language(s): French
Place: Sorbonne Université (French Regions: Ile-de-France)
Prepared diploma/grade/title: Certificate of participation (Notification of training attendance/completion)
Level of entry: French Baccalaureat + 3

Course Details

Objectives: Artificial intelligence is set to revolutionize the practices and uses of all industrial sectors, offering immense opportunities for companies. Deep Learning has now established itself as an essential tool for machine learning for the creation of intelligent services and products from massive data.
The training is centered on a Learning by doing approach and aims to provide the practical and theoretical elements for immediate application, ultimately leading to the autonomy of the participant. From concrete cases, participants will learn to define, optimize and interpret the behavior of their deep neural network.
At the end of the training, participants will be able to design and implement deep neural networks to solve complex problems.

Intended for: Developers, engineers, technicians, project managers with computer skills (python: algorithm and syntax) and wishing to develop skills in processing massive data.

Prerequisites: Computer skills: Python algorithm and syntax.
Mathematics skills: algebra, statistics and numerical optimization.

Duration and terms: 21 h

Dedicated web site: https://fc.sorbonne-universite.fr/nos-offres/ia-deep-learning-par-la-pratique/

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.