The Qwiklabs materials are outdated, however the lectures are insightful.

Outdated (TF, GCP)

The first part on content-based systems was pretty good, but everything after that was a mess. The second instructor (Ryan) was talking way too fast, and it felt like he was rushing everything he was explaining, and it would've been alright if his explanations were, at least, comprehensive enough. The problem is, there wasn't much groundwork in the course to build a good foundation for the students; they just did a brief introduction to the concepts, then rushed through the code implementation. Slowing down the videos did not help at all; it actually made it worse. The labs are another story, but then everyone else seems to be complaining about that, as well.

This is the only course in both specializations (ML on GCP and Advanced ML) that I didn't like.

while the topics and lectures are very interesting, the course is extremely broken in its current form. There are multiple instances where you first get a lecture and are then asked to do a lab, but the lab is on a completely different topic than the lecture was. One example is the final lab of week 2, where you should be building an end to end solution, but instead you get a lab that only focusses on a topic from week 1. It seems this course was reworked at some point, but the 2nd version is no longer coherent whatsoever. It's hard to recommend this course in its current form as a result.