Autonomous Vehicles

Basics of Computer Vision using Python
Recently launched
21 Hours of content
Autonomous Domain
A comprehensive course on Computer Vision using Python. This course is highly suited for beginners
Advanced Deep Learning using Python
5
22 Hours of content
Data science Domain
Gain an in-depth understanding about deep learning algorithms and their development using Python.
Applying CV for Autonomous Vehicles using Python
Recently launched
21 Hours of content
Autonomous Domain
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.
Math behind Machine Learning & Artificial Intelligence using Python
4.9
25 Hours of content
Data science Domain
Lay a strong foundation in basic math concepts required for building algorithms with the artificial intelligence and machine learning course. Our extensive training will help you to develop competent skills essential for the era of AI and ML.
Path Planning & Trajectory Optimization Using C++ & ROS
Recently launched
23 Hours of content
Autonomous Domain
A 3 month course which will introduce you to path planning and trajectory optimization techniques which can be implemented in autonomous vehicles
Autonomous Vehicle Controls using MATLAB and Simulink
Recently launched
24 Hours of content
Electrical Domain
Pursue the 3-month autonomous car course curated by industry experts and gain in-demand skills. Our mentor-led course will take you through the advanced concepts essential for developing ADAS control systems using MATLAB and Simulink.
Introduction to Camera Systems
Recently launched
28 Hours of content
Autonomous Domain
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.
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