Who is this class for: This class is intended for experienced developers who are responsible for managing big data transformations including 1) Extracting, Loading, Transforming, cleaning, and validating data 2) Designing pipelines and architectures for data processing 3) Creating and maintaining machine learning and statistical models 4) Querying datasets, visualizing query results and creating reports


Created by:  Google Cloud

Basic Info
LevelIntermediate
Commitment1 week of study, 8-12 hours/week
Language
English
Hardware ReqYou'll need a Google Cloud Platform Free Trial account. Sign up at: https://cloud.google.com/free/
How To PassPass all graded assignments to complete the course.
User Ratings
4.3 stars
Average User Rating 4.3See what learners said
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Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
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Ratings and Reviews
Rated 4.3 out of 5 of 200 ratings

Thank you very much!

Even though there are some points that may be improved, the course itself is a very useful source of learning ML in Tensorflow. The examples are explanatory enough, the instructor highlights the key points and draws students' attention to them multiple times so that the meaning is understood. Besides, the way you do exercises in Datalab is simple and in the same time interactive and full of information.

Points I believe to be improved:

- some videos with slides are too small. In some cases, you wait more for the Coursera engine to load than the length of the video;

- some videos can be split in a better way so that either the endings are not cut out or several parts of them are not repeated;

- please either split the Google Lab into parts or put a more noticeable note (e.g. with a bigger font or before the link) so that the lab's exercises are done along with the course flow;

- I did not notice a link to the 2d lab;

- one of the first videos in Module 3 contained questions right in the video; I believe it is a good idea to put them in the other ones so that students pay more attention to the information and actually have no choice but to think over the problem;

- I believe questions from the audience can be put in a textual format in videos rather than scrolling the transcripts to see them.

Excellent course for learning to use Tensorflow and deploying your model on Cloud MLE. Definitely recommended even if you are new to entire Model creation process and using Phython etc.

Some minor ambiguities - e.g. a few times references to slide pictures in the talk was not clear where exactly in the picture the speaker is referring to, when he was saying 'Here'. Still it's a complete 5 star course

Great course. Provides a sufficient overview of the Google Cloud Platform

(+) Great video content, great hands-on exercises. To make full benefit of the hands-on exercises, I highly suggest that you try to hand-code all of the codes in the Jupyter notebook. This helps you to internalize and force you to think about what is really happening. As you do this, do side searches whenever you encounter concepts / terminologies that are foreign

(-) The structuring of video content is messy! There are many videos that are just a few seconds or being repeated. This cause a lot of overhead time wasted in loading the sections. Please group some of contents together.