Udacity KPIT Autonomous Tech Scholarship

Apply Now, complete Term 1 and get interviewed by KPIT for job openings across the globe as a Self Driving Car Engineer

Learn how to be a self-driving car engineer with a KPIT scholarship


Learn the skills that are set to define an autonomous future


Explore the world-class curriculum designed for you to be a part of the revolution


Join the ever-growing community of autonomous systems engineers across the globe

Get Inspired

How it Works

This scholarship is open to all applicants interested in joining the Self Driving Car revolution. Applicants should be residents of India, 18 years of age or older and a college graduate. We’ll review all applications and select 500 recipients to participate in Term 1 of the Self Driving Car Engineer Nanodegree program. This is where your learning begins! In the 2-month long Term 1, you’ll learn to apply computer vision and deep learning to automotive problems. You will be teaching the car to detect lane lines, predict steering angles, and more, all based on just camera data! All students who complete Term 1 will be interviewed by KPIT for job openings across the globe. Once selected for employment with KPIT, you’ll be enrolled in Term 2 of the Self-Driving Car Engineer Nanodegree after joining.

Udacity KPIT Autonomous Tech Scholarship


Term 1 - Computer Vision, Deep Learning and Sensor Fusion

  • Learn about how self-driving cars work and about the services available to you as part of the Nanodegree program.

  • Start applying computer vision and deep learning to automotive problems. Start teaching the car to detect lane lines, predict steering angles, and more, all based on just camera data!

  • Stay on track for a great two-month learning experience, and commit to 10-12 hours of study per week.

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Job Interviews with KPIT

How to Apply

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    Applications Start

    March 13, 2019 (2:00pm)

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    Applications Due

    March 23, 2019 (11:59pm)

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    Recipients Notified

    March 25, 2019

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    Recipients Start Program

    Will be informed to the final shortlists

Apply by March 23, 2019

Apply Now

About KPIT Technologies

Mobility is going through paradigm shifts led by technology, specially embedded software. Software will help mobility leapfrog towardsautonomous, clean, smart and connected future. With a passionate team of 6000+ people focused on mobility across the globe, KPIT specializes in embedded software, AI & digital solutions, enabling our customers accelerate implementation of next generation mobility technologies and our employees to work with the coolest tech and the top brands in the automotive industry . With development centers in Europe , USA, Japan, China & India – KPIT is present where the mobility ecosystem is transforming. www.kpit.com


  • What is the "Udacity KPIT Autonomous Tech Scholarship"?
    Together with Udacity, KPIT is investing in a scholarship program that will enable students in India to acquire cutting-edge skills in Self-Driving Car Engineer Nanodegree, the best autonomous system course in the world. The program makes available 500 seats for a Self-Driving Car Engineer Nanodegree. Top students who complete the Term 1 of the Self-Driving Car Engineer in 2 Months time get an opportunity to interview with KPIT Technologies. On successful interview and selection, upon joining you would get access to Term 2 of the Self-Driving Car Engineer Nanodegree program.
  • How do I know if I’m eligible to apply?

    The opportunity is open to anyone who is resident of India, 18 years of age or older, college graduate and eager to expand their Self-Driving Car skills. Applicants should possesses intermediate knowledge of Python/C++ and should be familiar with Basic Linear Algebra, Basic Calculus, Basic Statistics and Basic Physics.

    Applicants should be prepared to commit approximately 10-12 hours of study per week during Term 1. Should you earn a scholarship to the Self-Driving Car Engineer Nanodegree program, you should expect to maintain that same level of commitment.

  • Is the curriculum taught in English?
    Yes, the program language for both the Challenge Course and the Udacity Nanodegree program is English.
  • Where does the program take place?
    The program takes place 100% online. Students can work from wherever they want to, as long as they have a working internet connection.
  • How does this scholarship program work?

    The scholarship program is structured in three phases:

    Phase 1: Challenge Course - You have to take up the challenge of completing the Term 1 of Udacity’s "Self-Driving Car Engineer Nanodegree" in 2 months. Program participants will receive support from community managers throughout their learning experience in this course and will be part of a dynamic student community and network of scholars

    Your progress will be tracked as per project deadlines that will be shared with you on your selection. If you don't complete the project by these deadlines, your access to Term 1 may be revoked and your seat may be given to some other candidate

    Phase 2: Evaluation of Term 1 Performance. All application who successfully complete Term 1 in two months get to interview with KPIT. If you’re successful in the job interview, you’ll be given an offer by KPIT. Your International job offer is subject to visa requirements and is it responsibility of KPIT. Udacity shall not be held responsible for any changes or rescinding of the job offer by KPIT. You will be enrolled into term 2 of Self-Driving Car Nanodegree upon joining KPIT.

  • When will the results be announced? When do classes start?
    1. Launch on 13th March 2019 (2pm)
    2. Applications close on 23rd March 2019 (11:59pm)
    3. Winner announcement on 25th March 2019
    4. Classroom open date will be announced soon to the winners.

    *Dates are subject to change depending upon number of applications received. Apply Now to ensure your application is with us at the earliest

  • Are there specific class hours when students need to be online or can they go through the lessons and study whenever they want?
    Once the course has begun, participants can study on their own schedule as long as they complete the course in the predefined time. Complete access to the course, directly in the classroom, is available 24 hours a day. We understand that students have different schedules and will work on their course at different times and on different days. What’s important is that students make constant progress each and every week, and successfully complete all the content before the end of the course.
  • What are the technical requirements for participating in this program?
    Udacity’s full technical requirements are listed here
  • What are the criteria for being selected for one of the 500 available seats for the Self-Driving Car Engineer Nanodegree scholarship?

    Udacity will evaluate applications with a view to selecting recipients who possess:

    • Diversity of perspective and experience
    • Goal orientation, and the desire to make an impact
    • Demonstrated determination and grit
    • Willingness to dedicate sufficient time to their studies
    • Prerequisite knowledge of the following Skill-set:
      • Intermediate Python (Classes, Data structures)
      • Intermediate C++ (Classes, Memory management, Linking)
      • Basic Linear Algebra (Matrices, Vectors, Matrix multiplication)
      • Basic Calculus (Derivatives, Integrals)
      • Basic Statistics (Mean, Standard deviation, Gaussian distribution)
      • Basic Physics (Forces)
  • Who can be contacted in case of questions?
    For general questions about the scholarship program and for user support (e.g. application process, timeline), please contact the Scholarships team.
  • I applied once and got rejection email, can I apply again?
    Yes, you can apply again if you got a rejection email. We will consider this as a fresh application from you. Please don't apply again if you are a current scholarship holder or in waitlist.