Skill-Lync launches Master's autonomous driving course

YCombinator backed startup 'Skill-Lync' has launched a Master's course for Autonomous Driving. This course is designed to give students a hands-on approach to learn and develop model-based control strategies for driver-assist systems. The startup, which has its headquarters in India, provides courses for Mechanical, Electrical, Civil and Computer Science Engineering students in India and across the world.

The Master’s Program in Autonomous Driving covers a step by step formulation to understand the complete process in building an autonomous vehicle. It offers learning skills and techniques used by self-driving car teams at companies around the world. The course is 8 months long and comes with a 0% EMI option.

This course focuses on both in-depth theoretical and on-hand practical knowledge and teaches students how to develop strategies in a simulated environment. The program is divided into 5 modules, each one of which is accompanied by projects for practical 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

In addition to the 5 modules that are currently present in the curriculum, the company is planning to add 3-4 additional modules that will cover the next wave of driverless car development.

The focus in this course is to make the students finish the projects as a part of each module. The whole Master's coursework consists of 10 projects and 30 assignments spread across an 8-month period. Apart from on-demand videos that the students can access, they have live 1-1 video conference sessions with the instructor in order to get their doubts clarified. As a part of the course, 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.

Engineers from Computer Science, Mechanical, Electrical & Electronics engineering can take this course and understand different aspects of the autonomous vehicle development process. 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. With this course, the students will have a hands-on experience to develop an ADAS system from Level 1 automation to Level 3.

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