+ New cool way of working with many possibilities

-Many new concepts and code with no clear connection to the "known" way of working.

-New code concepts not very clearly explained Urgent suggestions for improvement: Make the new concepts and code clear to the audience. Connect the examples to the previous way of ML

A lot of the concepts are not well-explained. I feel like my mind is constantly drifting away when watching the video, to me, this course is more like a workshop/ads for tensorflow rather than explaining the data lifecycle properly.

I was not happy with the course. In the part 1 the lecturer showed a lot of real world example of developing big ML-systems. The lecturer for this course is more a library creator than a user of it. And therefore also it feels like an advertisement for tensorflow. Which is an odd combination for me. So it does not teach a lot of useful theory because it focuses on how tensorflow manages pipelines and not a lot about the concepts. But also the programming examples are very artificial examples taken from the tensorflow tutorials or documentation. What I liked in the first course was the practical view on a specific problem. The programming exercises I also did no like because I did not learn anything useful. I only "learned" to use tensorflow a bit. But the concepts implemented are so basic that they are not interesting at all. I am aware that this has to be like this if we are not expected to program for two day but I don't see the benefit for me of solving mandatory useless exercises. The result of this was: I was skipping through the videos in 2x and was solving the quizzes as fast as I could. Speaking of quizzes. There were quizzes asking questions never mentioned in the videos and once the quiz was posed before the video where the things were explained. Also the quizzes used unusual wording for concepts plus not clearly written questions. In the end there were some useful insights here and there but it was quite an effort for me to filter them out as my motivation was lacking after some time.

Best course for the professionals looking to upgrade there ML skills at production level! Thanks to the brilliant and wonderful course instructor.

Nice, Awesome MLOps Pipeline with TFX! I recommend this course anyone who want to build ml pipeline! Good Luck! :)

Great course with useful exercises to get learner familiar with ML Data pipeline using TensorFlow Extended!

Its good, I think was a little difficult because TensorFlow, but it was very explicative.

E​xcellent course. Theory and practice well combined, to fit diverse curiositiy levels.

instruction on debugging jupyter and submission issue is important for learners

This was my first course with Robert, which was a very pleasant experience.

It is really good course, the detail explanation of Data LifeCycle in TFX!

Y​ou can immediately apply everything you learn in this course!

Some questions are difficult. Lots of new terms. Great course!

Very good training about data lifecycle for ML projects

Great overview and labs for cutting-edge TFX platform.

Podría ser cool el modo dark en los laboratorios

A good course indeed to pursue my dream job !

it's very nice. thank you so much

very helpful for ml engineers

Great course! Very Useful!

Great practice exercises!

Great hands-on learning.

very informative

Fantastic course

Great, Thanks..