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120 Hours of content

ELECTRICAL Domain

Skill-Lync's autonomous vehicle course provides training for engineering students in the fundamentals of motion planning. Our robotics and autonomous systems course help students build real-world skillsets in robotics engineering through domain-specific projects.

Post Graduate Program in Motion Planning and Trajectory Generation (ADAS)

81 Hours of content

CAE Domain

This 12 month program equips the student with everything they need to know about motion control for autonomous vehicles

Post Graduate Program in Motion Control

88 Hours of content

AUTONOMOUS Domain

Mass market implementation of autonomous driving technology requires skilled engineers with domain expertise. Our program on Autonomous Vehicles using AV system design and key algorithms, helps engineers interested in designing and building automated cars build technical expertise.

Post Graduate Program in Autonomous Vehicles

223 Hours of content

This 8 month program trains the student on becoming proficient in Computer Vision for Autonomous Vehicles

Post Graduate Program in Computer Vision for Autonomous Vehicles

21 Hours of content

A comprehensive course on Computer Vision using Python. This course is highly suited for beginners

Basics of Computer Vision using Python

22 Hours of content

DATA SCIENCE Domain

Gain an in-depth understanding about deep learning algorithms and their development using Python.

Advanced Deep Learning using Python

This 3 month program from Skill-Lync teaches the student everything there is to know about computer vision. MATLAB will be used as a tool.

Applying CV for Autonomous Vehicles using Python

25 Hours of content

A 3 month course which takes the student through all the math concepts that he/she requires to get into ML/AI domain

Math behind Machine Learning & Artificial Intelligence using Python

23 Hours of content

A 3 month course which will introduce you to path planning and trajectory optimization techniques which can be implemented in autonomous vehicles

Path Planning & Trajectory Optimization Using C++ & ROS

24 Hours of content

A 3 month course designed to give students a hands on approach to learn and develop model based control strategies for driver assist systems.

Autonomous Vehicle  Controls using MATLAB and Simulink

28 Hours of content

This program deals with detailed studies about cameras and the camera systems being used in the ADAS/Autonomous driving vehicles in the current times. In this course, we study the camera and how it is constructed and understand different parts of the camera and their effect on an image. We also deal with Image formation, different types of camera models along with the processing of the same images with an introduction to basic Image processing techniques and algorithms. 

Introduction to Camera Systems Using C++

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