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Learner Reviews & Feedback for Google Cloud Big Data and Machine Learning Fundamentals by Google Cloud

4.7
stars
15,919 ratings

About the Course

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud....

Top reviews

VS

Mar 2, 2019

Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.

AD

Sep 23, 2019

This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.

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1951 - 1975 of 2,690 Reviews for Google Cloud Big Data and Machine Learning Fundamentals

By Humberto R

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May 17, 2020

Without a doubt the best course, I have learned a lot not only from GCP but from many aspects of cloud computing and the skills necessary for a data engineer. Thank you very much for the opportunity.

By Michał R

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Nov 14, 2019

In general - great course with a good introduction to GCP tools and platform. Some of the materials might need to get updated though as it seems they are a bit behind the new version of the platform.

By Baskaran K

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Apr 18, 2020

Excellent overview of big data and machine learning using GCP, but would have been better if there had been notes similar to the "Google Cloud Platform Fundamentals - Core Infrastructure" course.

By Darius T

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Oct 7, 2021

Good and informative course for learning fundamentals of GCP, however the Labs was a disappointment, as I expected it to be more of an exercise rather than simple instructions to follow along.

By Deep C

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May 21, 2019

This is a very well written Introductory course on GCP products. The review tests are very good. It makes the understanding of a concept more clearly. Thank you Google for making this content.

By Sadik S

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Aug 26, 2018

A nice overview of some of GCP's offerings. Struggled to strike a balance between diving into details though, e.g. the labs were more detailed than an exec looking for an overview might need

By Wilbert v d K

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Jul 14, 2018

Very interesting course, but there still is a bug in it that causes you do to a topic multiple times and you need to use your projectID as your bucketname or you cannot complete the course.

By Bruno P

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Mar 30, 2022

The course is just an introduction but it's very useful to understand the Google Cloud solutions to use when AI/ML is involved into the process of modernizing an organization business.

By Hernaní R C N

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May 6, 2019

Muy buen curso introductorio en donde se utilizan todas las app google que tienen relacion con ML. dando tambien la opcion de ver otros usus de las mismas para otro tipo de ptoyectos.

By Vinay T

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Aug 10, 2018

It was really a great course, I learned a lot and special thanks to instructor for helping in every possible aspects especially in labs part. Overall it was really a great experience.

By Rapheephan N T

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Apr 26, 2020

Course was well prepared with introduction video, reading resources, and especially the lab which helped me easier to understand the concept of data engineer and ML in Google Cloud.

By Chris V

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Nov 9, 2019

labs were very well organized, although could have encouraged the student to do more troubleshooting. content was at the right level and instructors were very clear and informative

By Alberto B T

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Dec 8, 2019

Nice introductory course. The only problem I find is that exercises are really easy to solve so learning is basically based on theory found in videos. It should be more practical.

By Christian H

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Dec 23, 2017

Very good overview of the data tools on GCP. Not coming from data science it really pushed me to understand and see why a particular tool was used instead of another. Thank you!!

By Nikolai K

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Oct 10, 2021

Course is actual introduction into cloud data processing. Only one disadvantage is copy-paste Labs. It should be better if student produce some actions, not just reproduce them.

By Naiara A C

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Apr 29, 2020

Eu gostei bastante do curso, mas acho que são muitas ferramentas faladas durante o curso mas entendo que esse é o objetivo. Dar uma introdução sobre variados serviços da Google.

By Sunuk P

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Apr 18, 2017

Some latter sections felt as if they were not shot in sequence, thus disrupting the flow. This fact notwithstanding,

the program is an overall a good overview of the platform.

By João A

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May 9, 2020

In the second lab there is a minor error on a script. Solution is in the forum. And I felt that the third lab could be easier of understanding if it's used a simpler dataset.

By Samir H

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Jul 30, 2021

Some of the labs need testing & troubleshooting, but overall as someone who has been using GCP for 12 months as part of my job I still learned a few new things! Great stuff.

By Alfred M

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Feb 24, 2020

Some of the labs were cumbersome.

In another case a file name was inconsistent between the instructions and a script, easily corrected but maybe disorienting for some users.

By Miguel P F A F

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Nov 18, 2019

Great course. It is a great introduction to the basics of GCP as a foundation to ML. However, the last lab was not working well which, I believe, was only a temporary issue.

By Duy N

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Nov 11, 2019

A bit too basic course, but cover most of the fundamentals of GCP Big Data and Machine Learning. Would be actually much nicer if the course is a bit longer with more detail

By Rahul K

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Feb 10, 2018

Could have presented better, giving overview of the architecture of all modules would have given us(students) better insight. We could co-relate things in much better way.

By Matthew M

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Jan 14, 2018

Great course! Would have given a 5 star if videos were edited better (I feel you may have forgot to edit out some parts of a few videos - where errors occur for example)

By Seyd H

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May 24, 2018

Good course. Needs some updating as it would seem that some of Google's internal code is not provisioning correctly. Can be completed with a minimal amount of IT skills.