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[D] Preparing a deep learning course for computer vision

I am a PhD student in a small computer vision group at our university. I am the only person in the team with experience in deep learning and I initiated a creation of a new course for our students which should cover deep learning approaches to computer vision. The structure of the lectures will probably be very similar to Standford CS231n course. I won’t be able to be the lecturer since this requires a PhD, but it is my responsibility to prepare lab exercises for the students. Since deep learning is computationally expensive I hope to use some cloud service which offers free credits to academia for educational purposes. I was thinking about using Google cloud. However, I feel that this area is developing so fast that it would be valuable to ask for some tips regarding this, especially since creating a new course takes so much time and committing to a wrong platform or choosing a bad approach might lead to many lost hours.

tldr: I am preparing lab exercises for deep learning in computer vision course. Which cloud service (or other approach) should the course use for lab exercises?

submitted by /u/finite-difference
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.