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Learner Reviews & Feedback for Data Pipelines with TensorFlow Data Services by DeepLearning.AI

457 ratings

About the Course

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you will: - Perform streamlined ETL tasks using TensorFlow Data Services - Load different datasets and custom feature vectors using TensorFlow Hub and TensorFlow Data Services APIs - Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset - Optimize data pipelines that become a bottleneck in the training process - Publish your own datasets to the TensorFlow Hub library and share standardized data with researchers and developers around the world This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Top reviews


Apr 16, 2020

I understand why most of the students are furious about, but content wise, it one of those extremely helpful and important courses in Coursera. Really loved it!


Mar 2, 2020

Laurence cares deeply about the students. Not only about what they learn, but that they actually enjoy and learn it. What a fantastic teacher.

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51 - 75 of 94 Reviews for Data Pipelines with TensorFlow Data Services

By Alfian A H

May 7, 2021

Nice course

By Muhammad T

Apr 28, 2021

good course

By Mr. J

May 15, 2020


By Insyiraah O A

Apr 26, 2022

very cool

By mochammad g r

May 9, 2021

Thanks :)

By Levina A

May 24, 2021

So cool

By Mellania P S

May 18, 2021


By Indah D S

May 8, 2021


By Egi R T

Jul 13, 2022


By Al F N P M

May 29, 2021


By Ahmad H N

Apr 29, 2021


By Ming G

Jun 16, 2020


By Cees R

Mar 24, 2020

I liked the topic and instruction of this course. I had bumped onto the notion of datasets earlier, was impatient as I needed to just resolve an issue, and skipped it. Next time I know what they are about and will be able - and happy - to use (including build) them.

Slight minus: presentation in the video often contained some bullets that I couldn't connect to the speech, that is, I had to choose: read or listen.

Bummer: the last week's exercise effectively required to copy-paste from a notebook that was scrolled through in the video. That is silly enough in itself. What is more, for certain errors in the created code in the notebook, the grader gave a standard notification that was not helpful in resolving the identifying what coding error had been made. As the discussion showed, a good number of people - me including - had been struggling with this to the level of feeling helpless to resolve it.

Still four stars for instructional value of the whole course, but I hope for the sake of future students that the above mentioned exercise will be replaced by a better one.

By Matej M

Mar 16, 2021

This course was much better than the two before. Here were real exercises you had to do. It was not just about watching the videos. Topic itself was kind of boring. But the quality much better than others. Also on the discussion forum you were able to search for help.

By Yopi P O

May 17, 2020

Debugging exercises due to errors in indentation sounded stupid in the first place. But the joy of finally getting a "yes" in the assignment auto-grader beats them all.

By Vinay M

Jun 5, 2020

Was not that much engaging because the lectures were not linked properly and were lacking examples to support the content

By Ruan V

Aug 18, 2020

Excellent content, but the design of Exercise 4 tainted the experience somewhat by the end.

By Gregor S

Feb 3, 2021

Great explanation, however I believe in Week3 there are some broken links . . .heart.csv

By Md S H C

Aug 27, 2020

Would be a 5-start if the last assignment was a bit well thought out.

By Mario A C S

Sep 16, 2020

Last week exercise is problematic and not that educational

By Chow K M

Aug 10, 2020

Coding exercises were generally straightforward.

By Elyasaf E

Apr 7, 2021

More and better explanations are needed

By Chuong L

Apr 16, 2020

week 4 wasn't very clear

By Yong M L

Sep 24, 2020

This course is really interesting during the start, because there are a lot of hands-on for us to play around with the code. It shows the capability of TensorFlow as a Machine Learning framework which can also be used for data preprocessing before the model training.

However, the Assignments were very poorly designed in my opinion. I relied heavily on the discussion forums to pass the Assignments. It seems like a bug to me when you need to navigate through the Jupyter workspace to find the Week 5 notebook, then modify the codes from there and submit it to pass the Week 4 assignment.

By İlkin H

Jul 30, 2020

Course content deserves 5 starts. Really nice and very useful tutorial. But assignments are not as good as the content. There are very less explanation , many mistakes ( specially at the last assignment, because of typo, you may submit several times) , no expected outcome to control before submitting (evaluation time of third assignment took around 30 minutes for me).