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Apply for the PyTorch Scholarship Challenge from Facebook

PyTorch-Scholarship-Challenge-from-Facebook-Udacity

PyTorch is an open source deep learning framework by Facebook which has become popular for its simplicity and flexibility. Facebook and Udacity announced the PyTorch Scholarship Challenge, offering interested persons an opportunity to learn how to build, train, and deploy deep learning models.

Facebook’s support will make 10,000 seats available for the new Udacity Challenge Course; “Introduction to Deep Learning with PyTorch”. The challenge course will run for two months. Program participants will receive support from Udacity community managers throughout their learning experience.

On completing the challenge course, the top 300 students (in terms of output and collaboration) will then move on to the second phase of the scholarship to earn full scholarships to Udacity’s Deep Learning Nanodegree program, where they’ll cover topics such as Convolutional and Recurrent Neural Networks, Generative Adversarial Networks, Deployment, and more. Students will use PyTorch and have access to GPUs to train models faster.

Eligibility

This scholarship is open to all applicants interested in expanding their deep learning and AI skills, and who have good knowledge of the Python programming language. Applicants must also be 18 years of age or older to apply. You must also be willing to commit an average of 10 hours of study weekly.

Application

You can begin your application by following the link.

Applications are due on October 23, 2018 (9 pm Pacific Time). Selected participants will be notified October 30, 2018 (9 am Pacific Time); learning commences on November 9, 2018 (9 am Pacific Time).

The PyTorch scholarship by Facebook is a priceless opportunity to build or advance a career in Deep learning and Artificial Intelligence. The Nanodegree course on Udacity costs roughly a $1000 but Facebook will be sponsoring the costs of the program for the 300 scholarship recipients.

You can read more about the program here.

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