Autonomous Embedded Systems Engineering
Training Overview
The Autonomous Embedded Systems Engineering program trains specialists capable of designing, developing, and integrating intelligent embedded systems into autonomous devices.
Training Objectives
- Acquire solid expertise in embedded systems: electronics, microcontrollers, real-time systems
- Develop advanced skills in control engineering, embedded AI, and signal processing
- Design reliable and optimized hardware/software architectures for embedded environments
- Integrate sensors, actuators, and communication technologies to make a system autonomous and interactive
- Ensure cybersecurity, safety, and resilience of critical systems
Skills Acquired
- Hardware and software design of an embedded system
- Development of embedded software for autonomous systems
- Implementation of AI algorithms in constrained environments
- Integration of sensors and actuators for real-time decision-making
- Management of energy, size, cost, and reliability constraints
Career Opportunities
- Industrial and collaborative robotics (cobots)
- Autonomous vehicles (automotive, rail, aerospace)
- Robotic healthcare and rehabilitation
- Service robotics and smart logistics
- Advanced robotics R&D
FAQ
How long is the training program?
The preparatory class lasts 4 semesters and constitutes the essential foundation of your engineering education.
Required Validation
Validation of each module is mandatory to continue to specializations.
Access to Specializations
At the end of this phase, you will choose your specialization based on your results and available spots.
