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.
Solidworks
Matlab and Python Programming
Android Development
Artificial Neural Networks
You will be creating 3D models of structures used to mount various sensors and cameras on your car.
You will be developing an Android App where you will see your ADAS in action.
You will learn about deep learning and how to use it to control the steering and acceleration and braking in your car.
You will learn about Artificial Neural Networks for image localization to know the exact position of your car independent of GPS.
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.
Linear Algebra
Differential Equations
Multi-variable (vector) calculus
Probability and Statistics
Fourier Transforms
Laplace Transforms
Convolution
Structures other than your Car
SOLIDWORKS Introduction
Assembly Modeling
Surface Modeling
Advanced Part Modeling
Model Simulation
Basic working in MATLAB
Arithmetic in Matlab
Plots
Programming in Matlab
Concepts of Deep Learning in MATLAB
Basic Syntax
Assigning values and Multiple Assignments
Understand _main_
Operators
Conditional Statements, Loops
Functions
Strings
Immutable Tuples
Dictionary
Classes and Objects
Regular Expressions
Files
Python OS Module
Date & Time
Understand Efficiency of Python Programming
Supervised Learning : Linear Regression
Neural Networks
Machine Learning System Design
Support Vector Machines
Unsupervised Learning : Clustering
Unsupervised Learning : Recommendation
Unsupervised Learning : Deep Learning
Decision Matrix Algorithms
Cluster Algorithms
Pattern Recognition Algorithms
Regression Algorithms
This course has been taught by IIT Alumni working with Eckovation. We do not have any collaboration with any IIT for this 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.
The course contains on-demand recorded lectures run on a batch basis. You can access all the videos as soon as you have completed your payment for the course.
All the courses have mentors in it to help the students clear doubts and have smooth learning. The mentors will be only available in a course for the duration of the batch and not after the batch is over. The access to the videos and assignments will remain with the user indefinitely.
You can directly click on the Enrol Now button given above to start the enrolment process.
The payment for the course can be made through Credit Card, Debit Card, Net Banking. One can either complete the process with direct on-time payment or with equal monthly instalments.
Seat booking or token amount is a non-refundable amount to be paid to book your slot in the batch so that you can pay the total fee on later due date and not worry about missing the batch seat, which are on first come first serve basis.
Once the enrolment is done, you will receive an email from Eckovation stating all the directions of how to proceed further and what to expect before and during the course.
If you do not wish to continue the course you can ask for a refund within 7days of payment or commencement of the course, whichever is later. For Instalments, once the refund deadline is over, there won’t be any refunds, including future pending EMIs.
The course lectures will be for 8 months. You will have 2 months duration after that to submit your final project for evaluation.
The placement assistance will be provided to the students who successfully complete the course. We will help you build your resume as per the course's job profile, take mock interview sessions and get you interviews in various companies.