On Coursera I really liked the Roman Architecture course from Yale: https://www.coursera.org/learn/roman-architecture

The instructor is really passionnate about what she's talking about, which really makes the subject more interesting than I thought it would be.

Geoff Hinton's 2012 Coursera course "Neural Networks for Machine Learning" was incredible. Anyone who took that course got in on the ground floor of deep learning just when it was about to take off. It certainly changed the course of my career.

To give an idea of how cutting-edge it was at the time, the well-known RMSProp optimizer was unpublished work that Hinton presented in the course, and people had to cite the presentation slides when they used it in papers published later.

I did a computer graphics course on EdX: https://www.edx.org/learn/computer-graphics/the-university-o...

Objectively the quality of the production was pretty mediocre, but the assignments were challenging and I learned a lot. Similar to a real course taught by a professor. The final assignment (ray tracing) only asked for render results so I took it as an opportunity to learn rust.

The content was maybe a little outdated, but I think the concepts haven’t changed much and that’s what I was there for.

Course materials were updated for M1 macs, but there was a little friction in figuring things out.

I plan to take the follow up soon.

There was a set of three "legacy" courses on something called Saylor Academy back in the day by an instructor named Kenneth Manning. Statics, Dynamics, and Mechanics of Materials. They were all basically just filmed classroom lectures, but the filming was done well. Great instructor.

Discrete Optimization by Pascal Van Hentenryck was a real gem.

I recently bought a course on the Spring Boot from codewithmosh. Despite spring boot being a dry subject, it was probably the best intro backend course I’d ever taken!