International Fellowship applications for Part 2 now open

From the time of our very first deep learning course at the USF Data Institute (which was recorded and formed the basis of our MOOC), we have allowed selected students that could not participate in person to attend via video and text chat through our International Fellowship. This International Fellowship, along with our Diversity Fellowship, has been an important part of our mission:

We want to get deep learning into the hands of as many people as possible, from as many diverse backgrounds as possible. People with different backgrounds have different problems they’re interested in solving. We have seen and experienced some of the obstacles facing outsiders: inequality, discrimination, and lack of access. We’ve also observed that the field of artificial intelligence is missing out because of its lack of diversity.

In fact, many of our strongest students and most effective projects have come from the International Fellowship. By opening up the opportunity to learn deep learning in a collaborative environment, students have been able to apply this powerful technology to local problems in their area. For instance, past International Fellows have worked to:

This year, we’re presenting an entirely new version of part 2 of our deep learning course, and today we’re launching the International Fellowship for it. The program allows those who can not get to San Francisco to attend virtual classes for free during the same time period as the in-person class and provides access to all the same online resources. (Note that International Fellowships do not provide an official completion certificate through USF). International fellows can come from anywhere on the planet (including from the USA) other than San Francisco, but need to be able to attend each class via Youtube Live at 6.30pm-9pm Pacific Time each Monday for 7 weeks from March 19, 2018 onwards. For many people that means getting up in the middle of the night—but our past students tell us it’s worth it!

The prerequisites are:

You can fulfill the requirement to be familiar with deep learning, the fastai library, and PyTorch by doing any 1 of the following:

To apply, email your resume to fellowship@fast.ai, and:

The deadline to apply is February 28, 2018. You will not be notified if you have been selected until AFTER the deadline.

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