During the first phase of this program, students take Udacity's "Introduction to Deep Learning with PyTorch" course. The duration of this course is two 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. The top 300 students from the first phase of the program will earn a full scholarship to Udacity's Deep Learning Nanodegree program, where they'll cover Convolutional and Recurrent Neural Networks, Generative Adversarial Networks, Deployment, and more. Students will use PyTorch, and have access to GPUs to train models faster, as they learn from authorities like Sebastian Thrun, Ian Goodfellow, Jun-Yan Zhu, and Andrew Trask.

Facebook may be willing to foot the bill. On Tuesday, Facebook and Udacity announced the PyTorch Scholarship Challenge, offering students the opportunity to learn how to build, train, and deploy deep learning models. PyTorch is an open source deep learning framework that is growing in popularity among AI researchers due to its ease of use, clean Pythonic API, and flexibility, Stuart Frye, Udacity's vice president of partnerships, wrote in a Tuesday blog post. With PyTorch 1.0, now available in preview release, developers can more easily move from exploration to product development with a single unified framework, Frye wrote. The scholarship program will offer students the chance to learn in-demand deep learning skills with PyTorch, as well as earn a full scholarship to Udacity's Deep Learning Nanodegree program, according to the post.