Learn from the country's best minds on how to create and build a complete ADAS and give your car a brain of its own.
Self driving cars are the future of smart transportation. This is the biggest technology leap in automotive industry in last half a century. And hence, making cars is no more limited to mechanical engineers alone. Now the field is wide open for computer science engineers, electrical engineers and even physics graduates to try their hands in automotive industry.
It's not just a course, you will be creating a SELF-DRIVING CAR SYSTEM. Can you even imagine travelling in a car without having the driver to do anything? It's not just a course, it's an invention. Greatest minds of the world are still trying to make it work in the real world scenarios. Some features of this system is working and more advanced features are in progress. But you don't have to wait for them to release this system at a budget efficient price for you all to try. You can try and actually create your very own Self-driving car system (ADAS) from the best minds of the country right now.
Besides the fun of experirencing the futuristic looking technology, this course will not only boost but throw your resume, like leap far ahead of any other candidate, you are ever competing for a job. I mean, com'on, did you seriously think that any random candidate can compete with your self-driving car system's project? You will be multi-talented, having experience of computer science, electrical, mechanical and physics field after completing this course.
Multi-variable (vector) calculus
Probability and Statistics
Structures other than your Car
Advanced Part Modeling
Basic working in MATLAB
Arithmetic in Matlab
Programming in Matlab
Concepts of Deep Learning in MATLAB
Assigning values and Multiple Assignments
Conditional Statements, Loops
Classes and Objects
Python OS Module
Date & Time
Understand Efficiency of Python Programming
Supervised Learning : Linear Regression
Machine Learning System Design
Support Vector Machines
Unsupervised Learning : Clustering
Unsupervised Learning : Recommendation
Unsupervised Learning : Deep Learning
Decision Matrix Algorithms
Pattern Recognition Algorithms
Click on the Enroll Now button on the top of the page. Then select the suitable package for yourself. Then you will be asked to complete the necessary payment. Once you complete the process, you automatically get enrolled for the course.
You can make the due payment via netbanking, debit cards, credit cards or online wallet.
Cash payment facility is not available. Only online transactions are accepted.
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It varies from course to course. Some courses have a free trial available, some courses do not have that feature.
Yes. You can pursue the course over your laptop by going to www.eckovation.com . Smartphone users can download the eckovation app from appstore or playstore and login to access your course.
100% Refund Policy is applicable till 7 days after subscription in case we are not providing what we have promised you earlier. However, after 7 days, no request for refund will be entertained.
You can write an e-mail to firstname.lastname@example.org. You can also contact your course educator or you can call at +91-9266677335.
No. You can complete the course before or after the stipulated course duration. It is mentioned just to provide a tentative timeline in case you devote 1-2 hours/day to the course regularly. Infact, you'll also have lifetime access to course material.
No, there's no pre-requisite for this course. Everything will be covered in the course, right from the scratch.