Secure and Private AI Scholarship
Challenge from Facebook
About this challenge
Together 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.
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 scholarship to either the Deep Learning or Computer Vision Nanodegree programs.
Click here for more information and to apply now.
About this challenge
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 scholarship to either the Deep Learning or Computer Vision Nanodegree programs.
