Engineering training under student status
A 3-year training course
The first 18 months
Common core
- General scientific
- General soft-skills
- Discover our 6 areas of expertise: Optics, Photonics, Electronics, Networks/Telecom, Image, Computing
- Preparing your professional project for the future
The remaining 18 months
Multi-thematic specialization
- Software architecture
- Cybersecurity (final year of apprenticeship)
- Image & Artificial Intelligence
- Engineering and modeling of photonic solutions
- Digital imaging system
- Embedded systems
The 6 specialization paths
Engineering and modeling of photonic solutions
This course will enable you to design, model and characterize innovative photonic solutions. Photonics, the study of photons and light, offers vast potential for innovation. Light can be used to capture, display or transmit information, as well as to illuminate, cut and more. It has applications in energy, medicine, telecoms, the environment and more. Photonics thus represents a key field for future technological developments.
Careers : Research and development engineer, project engineer, laser solutions engineer, AI engineer applied to optical systems, photonics solutions engineer…
Surface engineering can be used to create environmentally-friendly applications : light engineering can be used to structure surfaces to reduce mechanical friction, or to create intelligent windows that let light in or out.
Image and Artificial Intelligence
In Englishlais
You will learn to develop applications or software components combining “computer vision” and “machine learning”. You’ll be able to choose and adapt AI methods, train these models with image or more generally multimodal data, and implement these algorithms in connected objects or systems, as required.
Careers : Computer vision/deep learning engineer, Research and development engineer, AI/machine learning engineer, Image processing and AI engineer …
The applications of the future must be developed using a reasoned approach: limiting the resources required, optimizing approaches and developing frugal Artificial Intelligences.
Digital imaging systems
In this course, you will learn how to design and integrate a machine vision system, i.e. choose hardware components (lighting, optics, sensors, processing systems) and software, adapt them and integrate them into an automated acquisition, processing or analysis chain.
Careers : Machine vision project engineer, Image processing engineer, Machine vision R&D engineer, 3D imaging prototype development engineer, etc.
Artificial vision is being used to support sustainable development and social responsibility: vision systems are being used to sort waste and aid medical diagnosis.
Embedded systems
This course trains engineers capable of designing and building a complete embedded electronic system (hardware and software aspects) for current and future applications (in particular, embedded AI and EDGE computing), taking into account stringent constraints (eco-design, reliability, cost, performance, software and hardware security, etc.).
Careers : Embedded electronics engineer, Embedded Artificial Intelligence engineer, FPGA designer, SoC development engineer, etc.
Design-for-longevity helps to limit programmed obsolescence : just as we update the software on our computers, we need to be able to update the hardware to give our devices a longer life than is currently the case.
Software architecture
The aim of this course is to prepare engineers capable of designing, implementing, deploying and maintaining complete software applications.
You’ll be involved in creating the user interface (front-end), implementing the server and database (back-end), processing data, automating infrastructure deployment (devops), and managing these various tasks.
Careers : devops engineer, cloud engineer, development designer, technical leader, product owner, project manager, agile coach, etc.
Towards “thrifty” software and socially inclusive work practices: implementing knowledge sharing and transmission practices
Cybersecurity
3rd year apprenticeship
This path enables us to train engineers with a global vision of the information system, both in terms of its network/telecom and system/infra architecture, and with a grounding in development, so as to be able to apprehend IS security in its entirety. You’ll be able to analyze security issues, and design a robust, high-performance technical architecture that takes into account security and availability constraints, as well as digital responsibility and energy efficiency.
Careers : Cybersecurity engineer, Security architect/project manager, Cybersecurity integrator, Systems engineer, Network engineer, SOC analyst …
Digital technology must be thought out and used responsibly: ethical data management and social engineering to address cybersecurity as a whole and not just from a technical point of view.
Exposure to research during the 3 years of training
