Train smarter AI models by learning to safely and securely use distributed private data with differential privacy, federated learning, and encrypted computation techniques. Apply for a Challenge Scholarship for the chance to participate in a vibrant student community and to earn one of 300 follow-up Nanodegree scholarships to continue your education with PyTorch and other deep learning tools.
Become a more valuable data scientist and AI practitioner by learning the tools to maintain user privacy and train smarter AI models
Learn how to extend PyTorch with the tools necessary to safely and securely train AI models on distributed private data
Join a rapidly growing global community of AI practitioners passionate about preserving user privacy
How it Works
This scholarship is open to all applicants interested in learning how to apply privacy-preserving techniques to deep learning. Applicants 18 years of age or older are invited to apply.
We’ll review all applications and select recipients to participate in the scholarship challenge course. This is where your learning begins! Recipients will spend 3 months building powerful deep learning models with PyTorch and other tools. The “Secure and Private AI” challenge course is intended for students with some experience in Python and deep learning, which you can read about in more detail here.
Top students from the initial challenge course will be selected for one of 300 follow-up scholarships to either the Deep Learning or Computer Vision Nanodegree programs.
Solving the world’s most important problems requires having access to a large amount of data.
Learn how to apply privacy-preserving tools and techniques to deep learning so that you can tackle more difficult problems and create smarter, more effective AI models.
Participate in a vibrant student community, commit to dedicating 5-10 hours a week on the course, and work towards earning one of the follow-up Nanodegree scholarships by showing your leadership and dedication to secure and private AI.
May 21, 2019 (9pm Pacific Time)
May 30, 2019 (9am Pacific Time)
May 30, 2019 (9am Pacific Time)
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Find a circleTogether with Udacity, Facebook is investing in a scholarship program that will enable students to learn the latest privacy-preserving tools and techniques, such as OpenMined's PySyft. With these tools, students will be able to build better AI models by securely accessing distributed private data and keeping this data secure and private during the model training process.
This program has two stages:
Udacity will evaluate applications with a view to selecting recipients who possess:
From the 5,000 challenge course scholars, 300 will be selected for the full Nanodegree program scholarship based on: