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Skill-Lync launches master’s Autonomous Driving course

Skill-Lync launches master’s Autonomous Driving course
Skill-Lync, an India-headquartered startup backed by investor Y Combinator, has launched a special master’s course for Autonomous Driving. The course is designed to give students a hands-on approach to learn and develop model-based control strategies for driver-assist systems. 
The master’s course offers experience to the students following a balanced approach with both in-depth theoretical and on-hand practical knowledge. It aims to help them get comfortable with control strategies for driver assist systems and teach them how to develop those strategies in a simulated environment. 
The programme is divided into five modules, each one of which is accompanied by projects to add on to the practical approach, to give a better understanding to the students of what they are learning.  The modules are as follows:
  1. Applying Computer Vision for Autonomous Vehicle,
  2. Practical Artificial Intelligence For Autonomous Vehicle,
  3. Localization, Mapping & SLAM,
  4. Path Planning & trajectory Optimization,
  5. Autonomous Vehicle Controls

Surya Narayanan, Co-founder & CEO, Skill-Lync Said, “As a whole the automotive industry is shifting to develop Futuristic vehicles that inculcate concepts like Autonomous or driverless cars, and fully electric cars, but sadly there are no educational institutions in India or across the world that are focused on teaching the technical aspects specific to such domains.
“At Skill-Lync our goal is to empower students with technical skills that are required for the future. Companies have started looking for engineers who have inter-disciplinary skills. Our master’s course in Autonomous driving has been designed taking into account the needs of these companies. 
“Engineers from Computer Science, Mechanical, Electrical & Electronics engineering can take this course and understand different aspects of the autonomous vehicle development process. The course is designed by leading industry experts in the field of ML, AI, and driverless car development in order to aid Students with relevant interests helping them get equipped for the future”.

The focus in the course is to make the students finish the projects as a part of each module. The whole Master coursework consists of 10 projects and 30 assignments spread across an 8-month period. In addition to on-demand videos, students can access live 1-1 video conference sessions with the course instructor. 
Students also end up working on projects with the aid of industry-oriented software tools such as Python, Tensorflow, Kras, MATLAB-Simulink, Carmaker and experience different control strategies within their projects, such as LQR, Rule-based, PID, state-flow, etc.
"Any student in a Mechanical engineering, electrical and electronics engineering or computer engineering curriculum can take this course,” said Sarangarajan V, Co-founder & CTO, Skill-Lync. 
“Apart from this, working professionals who would like to shift their career path towards autonomous vehicles or anyone with a desire to work in the automotive controls domain can also take up this course.
“In addition to the 5 modules that are presently in the curriculum, we are planning to add 3-4 additional modules that will cover the next wave of driverless car development.”

Check out the latest autonomous vehicle industry jobs here.