In a bid to enhance students’ deep learning and AI skills, Udacity, the Silicon Valley-based ed-tech platform, has launched the Secure and Private AI Scholarship Challenge in association with Facebook. Facebook’s involvement will enable 5,000 interested individuals from across the globe to enrol for a supported version of the scholarship program. Post the successful completion of the first phase, the top 300 students will then be eligible to receive full scholarships for one of either the Deep Learning Nanodegree program or the Computer Vision Nanodegree program from Udacity. The course is open for application and general enrolments would begin on May 30.
Announced at F8, the Facebook Developer Conference in San Jose, the goal of this latest scholarship program is to equip students with skills required to work with cutting-edge privacy-preserving technologies such as Federated Learning, Differential Privacy, and Encrypted Computation. Through this course, scholars will also learn advanced techniques of extending PyTorch with deep learning tools needed to securely train smarter AI models on distributed private data to provide robust data privacy solutions to users.
Speaking on the announcement, Ishan Gupta, MD India at Udacity, said, “We are delighted to introduce the brand-new Secure and Private AI course. Through this program, we aim to nurture capable data scientists and AI experts. The data-driven world of today is indeed in dire need of skilled professionals to protect data from being exploited or misused. We are excited to partner with Facebook for helping us extend the scholarship challenge to deserving candidates across the globe.”
Udacity’s tech-driven platform will further enrich students’ learning journey by connecting them with the peer-supported community of AI practitioners from across the world and allowing them to participate in knowledge-sharing webinars. Through this engagement, students will be able to interact and collaborate with each other while receiving constructive feedback on their project. This course was built in collaboration with Andrew Trask, Leader of OpenMined and Research Scientist at DeepMind.
“The most urgent barrier to the world becoming privacy preserving is the lack of talented data scientists who know how to use privacy preserving tools. Without data scientists who know how to properly preserve privacy, private data is either left unused (which hurts the accuracy of our models – a critical loss in fields such as healthcare) or is put at risk through data science techniques which lack the proper privacy protections,” said Andrew Trask.
Through its collaboration with Facebook, Udacity has extended an invaluable learning opportunity to aspiring AI professionals from across the globe. With the launch of the Secure and Private Scholarship Challenge, Udacity further underscores its commitment to nurturing technology experts who will make significant contributions to the digitally-evolving world of today.