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.
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.