Omexom Institute

Omexom Institute Logo

An open place to upgrade skills, inspire people and turn ideas into reality

4 Continents
6 Languages
10 Countries
10 Training Facilities
150+ Courses
3000+ Trainees

Our Mission

Omexom Institute is a learning network for the energy sector. It provides companies and individuals with the opportunity to upgrade their skills.

The energy market needs new talents and expertise to achieve the energy transition objectives. Omexom Institute aims to inspire people to turn their ideas into reality and contribute towards reaching these ambitious targets.
This approach contributes to the achievement of Omexom’s ambition to be the preferred partner of the energy industry stakeholders.

Training Centres

The training centres cover a range of training topics relevant to the electricity and gas market, including Traffic Lights Maintenance, Public Lighting, Safety in Substations, Self-Consumption and Overhead Lines inspection. The training provided complements our expertise in energy infrastructures.
Omexom Institute adopts a hands-on, practical approach to learning in keeping with the values of VINCI Energies.

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e-Learning Platforms

Omexom Institute’s e-learning platforms use local knowledge to connect Omexom learners internationally.
They provide a wide range of new insights into the energy market that arouse interest and upscale expertise. Through these platforms, Omexom’s knowledge is accessible to everyone and spreads the practice of local learning on a large scale. By improving and sharing the local content, Omexom aims to strengthen everyone’s performance and create value for all.

Virtual Reality

Through virtual reality, Omexom provides immersive training in energy infrastructure environments to upgrade technical skills and safety. 

Omexom’s team of experts creates, develops and designs custom-made scenarios related to safety in substations, public lighting maintenance, overhead lines inspection as well as works in nuclear power plants. The scenarios are realistic, using the training method of learning by mistakes and allowing analyses to improve the efficiency.

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