Not enough hands-on labs. Mostly just videos and running existing python code. Had to write only a tiny amount of code. I won't remember any of the code, I'll just remember ctrl-enter on all of the pre-written python.... could definitely use some improvement.

Would be nicer if students can use the google cloud with less restrictions. I got blocked multiple times from trying the codes in the videos..

Overall, the materials are great and very interesting!

One of my favourites Courses from Google, it provides an excellent overview of the End to End Machine LEarning process, and how to use GCP to speed up your workflow, highly recommended to anyone looking to expand their understanding of Real World application of ML

Definitely adds a unique perspective on thinking about machine learning systems at scale. This course is suitable for Data Scientists, Data Engineers and Machine Learning Engineers.

Objective of course is great. But, a lot can be improved in terms of clarity on how to execute this course. It is not clearly mentioned whether we need to just execute provided notebooks or write code from scratch. Moreover, how to copy these notebooks from Google cloud repo on github is not mentioned anywhere.

This specialization consists of 5 courses:

Course1: End-to-End Machine Learning with TensorFlow on GCP

Course2: Production Machine Learning Systems

Course3: Image Understanding with TensorFlow on GCP

Course4: Sequence Models for Time Series and Natural Language Processing

Course5: Recommendation Systems with TensorFlow on GCP

In specialization's FAQ say nothing about "audit" option. Do You know what is it ? "Audit" means that You can use course video material even after You subscriptions ended.

By fact, only "Course 1" has such ability. Before pay for specialization, carefully check FAQ for EACH separated course in specialization:

courses 2-5 has special point:

"Why can’t I audit this course?

This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

"

"Who have paid" means that after You subscriptions ended, you lost access to video materials in this courses.

p.s.

1 star only for "Audit", content and lecturers are rated higher - at least 4 stars

End to End wwooooww

Awesome refresher course!

A lot of great knowledge on enterprise implementation of Machine Learning Cloud Environments

Awesome Course .....

Interesting and easy..

content is very rich.

The course is really Great! It takes you so smoothly from the beggining to the end. I didn't have to watch something for a second time. Everything is well explained!

One of the best course in the series! A comprehensive tutorial that walk your through the whole end-to-end process of machine learning. Hope there is more similar courses like these where we can get our hands dirty with practical end-to-end machine learning case studies!

Interesting to the gcp users and ml developers.

This course contains many helpful hands-on labs. The course instructors are very knowledgeable. I would recommend this course to anyone who is interested in learning about production machine learning pipeline using TensorFlow.

Very good

This course is awesome

Got good insight about the data pre-processing, training the model and deploying it on ML Engine

Overall experience with the lab was fantastic

nice course

Practical Labs are really useful in learning end to end ML in GCP

Super, resume la especialización 1

Good overview course

Great course!

Good course with complete development cycle

It was great course which converses entire ml learning journey