All you need is $800 and 4 months of time
U.S. based ride-hailing giant, Lyft is introducing a 36-week course that will teach students across the globe how to build a self-driving car to anyone with just a minimum requirement of internet.
Udacity , online education platform providing the four-month “intro to self-driving car” course with the sponsorship from Lyft. The course fee is $800, however Lyft and Udacity are offering a scholarship to 400 students, specifically to one's belonging to communities underrepresented in the tech world.
Any 18 year old with some basic programing knowledge ( eg. c++, Python) can enroll for the course. Graduates are automatically eligible to take the Nanodegree program on self-driving car which concentrates subjects such as machine learning, object-oriented programming, and probabilistic robotics. The registration window starts from today for enrolling and will be open until October 1 for the scholarship applicants. The winners will be declared on October 5 and if you can afford $800 to become self-driving car expert, the registration window is open until October 10th.
Founded in 2011, Udacity is a for-profit educational organization offering online micro-credentials courses. Prior to starting his own venture Sebastian Thrun was one of the key leaders of the Google’s Self-driving car project. While his tenure at Google, Thrun had taught Computer Science at Stanford University, and before that at Carnegie Mellon University.
“There is an enormous market for engineers of self-driving cars,” Commenting on the program, Thrun said,“Lots and lots of companies that you wouldn’t suspect have entered that field and are massively hiring.”
Lyft also promises the interested candidates to offer “mentorship opportunities” by providing future career opportunities post the completion of their program. The company recently announced its planning to open its own center to build software and hardware needed to power-self-driving cars. Lyft will also acquire a 50,000-square-foot engineering facility in Palo Alto, California to practice research and development for the most advanced level of autonomous driving.
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