Learning Artificial Intelligence
According to several studies, the U.S. is experiencing a critical shortage of people with Artificial intelligence (AI) and machine learning skills. Therefore, some companies are willing to pay for people to learn these skills, assume that after learning it, they will work for them. In the past two years, the number of AI and machine learning jobs have increased over 100%, Most jobs in pay more than $100,000 per year, but there are not enough people who have the skills. Yesterday, a senior manager told the newspapers: “I need 500 workers with machine learning skills but have only 125 applicants, where do I find the rest?”
Last Tuesday, Facebook and Udacity announced the “PyTorch: Scholarship Challenge, offering students the opportunity to learn how to build, train, and deploy deep learning models. The scholarship program will offer students the chance to learn in-demand Deep learning skills with PyTorch, as well as earn a full scholarship to Udacity’s Deep Learning Nanodegree program.
The PyTorch Scholarship Challenge is set up in two phases. Phase one involves students taking a new two-month Udacity Challenge Course called “Introduction to Deep Learning with PyTorch”, taught by PyTorch creator and Facebook AI research engineer Soumith Chintala. The course will teach 10,000 students the basics of deep learning, and how to build deep neural networks using PyTorch.
After completing this first course, the top 300 students will go on to earn full scholarships to Udacity’s Deep Learning Nanodegree program. In this program, students will learn about topics such as convolutional and recurrent neural networks, generative adversarial networks, deployment, and more.
Interested participants must have strong Python programming skills and knowledge of linear algebra. You can sign up for the PyTorch Scholarship Challenge here: https://www.udacity.com/facebook-pytorch-scholarship
Sources
- Blogs of Prof. John Vu, Carnegie Mellon University
