University education adapts to Industry 4.0 topic
Résumé
With the implementation of the industry of the future, also called "Industry 4.0", digital technology, a virtual or non-virtual confluence of data, software, sensors, actuators, and effectors, different networks of technologies have had to be put in place. The arrival of the Industrial Internet of Things (IIoT) for Industry 4.0 participates in a true point of convergence with previous in-dustrial revolutions. The prosperity of a country is essentially based on its manufacturing industry where manufacturers must give their best by offering optimal capacities and processes. This prosperity is also sustainable if the training courses are adapted to the changing needs and even anticipate them. One of the biggest challenges for Industry 4.0 ecosystems is to convert all employees in the industry to its practices and codes. The changes brought about by Industry 4.0 also require that the training of young people be adapted even before they enter their professional careers. The efficiency of this training, whatever the degree level, must include close collaboration with industrial partners. The training must enable learners to acquire these new technical skills but also increasingly important soft skills. Substantial invest-ments, both financial and human, are often necessary. In this article, we pre-sent various case studies adapted and proposed to students of Bachelor's, Master's, and engineering schools. In this context of training, different digital architectures will be presented in the context of control/command of auto-mated communication processes, associated with certain realizations, appli-cations in robotics.