Earn a scholarship to learn how to build, train, and deploy state-of-the-art deep learning models with PyTorch
How it Works
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.
October 23, 2018 (9pm Pacific Time)
October 30, 2018 (9am Pacific Time)
November 9, 2018 (9am Pacific Time)
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The scholarship program is structured in two phases:
Phase 1: Challenge Course
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.
Phase 2: Full Nanodegree Scholarship
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.
Udacity will evaluate applications with a view to selecting recipients who possess:
From the 10,000 original participants, 300 will be selected for the full Nanodegree program scholarship based on: