As part of the project, led by the ' Industry 4.h Chair, PTW, TU Darmstadt and VelpTEC, two online training modules — Quality Management 4.0 and Predictive Maintenance — have been developed to help learners better understand quality and maintenance processes supported by digital technologies. The aim is to provide a solid foundation on how modern industry now relies on data, automation and intelligent systems to improve reliability and efficiency.
Online training courses to understand the digital industry
Before starting the training course, each participant takes a pre-test to assess their initial level and facilitate the creation of a personalised learning path. The modules are integrated into the online platform of velpTEC, an organisation specialising in professional training, allowing flexible, remote access at the learner's own pace.
Individualised learning to enhance skills
Learners can progress at their own pace and adapt the course schedule to suit their needs. The combination of digital content and optional support enhances the personalisation of the learning path: each module can be adjusted according to the learner's level, objectives and preferences. This hybrid approach goes beyond simple online training by offering truly individualised support.
To date, 241 people have benefited from these training courses. Developing digital skills not only benefits participants and businesses, it also contributes to a major societal challenge: strengthening digital skills and innovation capacity in an increasingly digitised professional world.
Apprenticeship rooted in industrial practice
Thanks to this integrated approach, learners evolve in a practical and interactive environment, facilitating the transfer of acquired knowledge to real-life situations in the workplace. The tools, case studies and exercises provided enable concepts to be immediately linked to concrete examples of smart maintenance, digital quality management and process optimisation.
This approach helps to train professionals capable of supporting the digital transformation of industrial systems, while developing a more human and sustainable vision of the professions of tomorrow.
