I'm started the Deep Learning course last night and I too think it's really good. After you finished the series of courses, what did you move on to?

I took it several years back and enjoyed it. I liked that the course had you implement the whole training pipeline yourself rather than using a framework (not sure if the newer class does the same). While you would likely not do this in practice, I felt it helped my intuition when using the frameworks since I had a sense of how the internals were working.

It was good like 10 years ago and it did age well but it's a little bit outdated on the video/audio quality and the tools and algorithms you learn about. I think it's surprisingly up to date for a fundamentals course that old, but still a bit outdated.

I'm doing it along with Ng's newer courses at the moment and I really like that he focuses on all the basics mathematically as well and not only conceptually which gives you a deeper understanding machine learning imo. However as others have said, the audio quality is subpar and personally I find it hard to motivate myself for the programming challenges in Octave. So my suggestion would be to just view the videos and take notes and then do the newer courses and their challenges.

Due to the low quality of the video and audio I honestly struggled to want to go through the material.

I second that - great content, but terrible audio / video quality, unfortunately, which makes it less enjoyable and a bit of a struggle tbh.

It requires Matlab for instance.

I took it a few years back. It was an introduction to ML course.