Mar 03, 2019
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.
Oct 07, 2018
A very helpful course, we were able to practically apply all the knowledge we received from the First Specialization. I feel much more confident to do ML after this course!
Nov 02, 2018
the course is helpful for any learner initial to touch GCP learning
Jun 12, 2019
創建者 Mark Y•
Jun 22, 2019
Jun 29, 2019
I am satisfied with GCP training except for some errors.
I think I need the latest update.
Jun 30, 2019
創建者 Rahul D G•
Jul 13, 2019
QuickLabs has error in many labs
Jul 02, 2019
創建者 Alireza K•
Jul 27, 2019
The labs were completed, I need to only run them. which I think I couldn't engage myself
創建者 Grzegorz G•
Feb 12, 2019
Labs are not working. I'm getting 'access to the resource denied' error
創建者 Russ K•
Aug 30, 2018
Looks like this class could be very useful, but you have to pay up front before you can try any labs. Don't bother auditing.
創建者 Sacha v W•
Jun 20, 2019
Quite some labs did not work. It shows how several components of GCP can be used. Then there are implementation labs that are really abacadabra. I was really disappointing.
創建者 Jakub B•
Jun 19, 2019
Very weak course. There are no assignments, only 'labs' for which there are walkthrough videos that tell what happens in code, but they don't actually ask to implement or test anything.
The qwiklabs platform is also very unwieldy - even for labs that take 10 minutes you have to go through set up that takes at least 5 minutes...
If you want to take whole specialization the course might be useful, but otherwise DO NOT DO THIS COURSE
創建者 bearrumor T•
Jun 28, 2019
Too short Time and Too Many Contents and Too rare comments for ToDo items in LabTasks
Jul 05, 2019
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.
1 star only for "Audit", content and lecturers are rated higher - at least 4 stars