This scholarship is open to all applicants interested in building their deep learning skill set. Applicants 18 years of age or older are invited to apply. We'll review all applications and select 10,000 recipients to participate in the Scholarship Challenge Course. This is where your learning begins! You'll spend 2 months building powerful deep learning models with PyTorch. Top students from the initial Challenge Course will be selected for the Deep Learning Nanodegree program.
Start exploring the world of deep learning and PyTorch in this excellent introductory course.
Complete hands-on exercises as you absorb the basics of convolutional and recurrent neural networks.
Stay on track for a great two-month learning experience, and commit to 5-10 hours of study per week.
Build deep neural networks to solve challenges like image generation and model deployment.
The application is for all who want to expand their deep learning knowledge and are at least 18 years of age. The application process, as well as the student experience in the course, will be in English.
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What is the "PyTorch Scholarship Challenge from Facebook"?
Together with Udacity, Facebook is investing in a scholarship program that will enable students to acquire cutting-edge skills in deep learning using Pytorch, a popular, fast-growing open-source deep learning framework that provides a seamless path from AI research to production deployment. The program makes available 10,000 seats for a Challenge Course, which is "Introduction to Deep Learning with PyTorch." 300 students will go on to earn full scholarships for the Udacity Deep Learning Nanodegree program.
How do I know if I'm eligible to apply?
The opportunity is open to anyone eager to expand their deep learning and AI skills, who is at least 18 years of age, and who possesses intermediate Python knowledge. Applicants should be prepared to commit approximately 10 hours of study per week during the Challenge Course phase. Should you earn a scholarship to the Deep Learning 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.
The program takes place 100% online. Students can work from wherever they want to, as long as they have a working internet connection.
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.
When will the results be announced? When do classes start?
Applications open on Oct 2, 2018 and close on Oct 23, 2018. Acceptances will be announced on Oct 30, 2018, and participants will start the Challenge Course the following week.
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?
What are the criteria for being selected for one of the 10,000 available seats for the challenge phase of this program?
What are the criteria for earning a full scholarship for the Deep Learning Nanodegree program?
The full Terms and Conditions are posted here.
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.