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Learner Reviews & Feedback for Smart Analytics, Machine Learning, and AI on Google Cloud by Google Cloud

4.6
stars
1,222 ratings

About the Course

Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI....

Top reviews

HM

May 11, 2020

It was a good decision to do this course as i learn and practiced lot in GCP. Thank you the team for amazing support guidance and instructions. Course content and material was appreciated. Thanks.

MB

May 15, 2020

Very good ML course to introduce students with Google Cloud machine learning capabilities. Maybe there should be a lab for AutoML (after video lessons), as it exists on Qwiklab platform.

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126 - 148 of 148 Reviews for Smart Analytics, Machine Learning, and AI on Google Cloud

By Ravikumar B

Oct 5, 2023

good

By Ritesh K

Feb 7, 2020

good

By SAJID M W

Jan 14, 2020

good

By Pratik M

Apr 27, 2020

Major focus was given to BigQuery which is a big disappointment. I feel that Python provides ease in programming and wide scope. Writing BigQuery is damn complex task.

By Boris P

Jun 28, 2020

The labs are not great; one takes an hour "watching" a model to be trained; this is skipped in another one, however the upload was not working for me as designed

By Alex s

Oct 1, 2020

Not that useful, watch some you youtube video and make the qwiklabs which are free.

By rahi j

Mar 18, 2022

I wuld have loved to learn how to build the custom model from scratch using GCP.

By Jair M

Jan 14, 2021

A lot of notebooks are failing, and need to deep on some concepts like kubleflow

By Himanshu J

Sep 14, 2022

very god but i didn't recieved google cloud t-shirt claim link.

By Nagraja B

May 6, 2020

Some of the labs had glitches. Overall a very good course.

By Abel Y T

Jul 13, 2021

Need More Video, expecially to learn syntax in bigqueryML

By Miguel M C

Oct 4, 2020

Too much issues in Qwiklabs

By Abilash S

Jun 21, 2020

last lab fails

By Philip G

Oct 14, 2021

Broad introduction to ML and AI with a focus on GCP services. The course has a marked superficiality, and never goes into depth on any of the services offered. Vertex AI is left out, despite it seemingly superseding AI Platform. Not all of the qwiklabs worked completely. I am left with a broad understanding of what services are available. This course needs updating with the latest services, and the qwiklabs need more depth and quality control.

By Shubha H

May 14, 2020

Google Cloud Platform Big Data and Machine Learning Fundamentals course, the first course in the Data Engineering learning path, has better content / explanation of concepts than this course. If you are a beginner, this course may not provide you the tools required to understand Big Query/ ML or any of the other topics mentioned in it.

By Mohamad H

Nov 29, 2020

It has some good parts on BQML, the rest is very shallow and quick overview.

By Amit G

May 23, 2020

Cannot complete the course because the first lab in Week 2 is broken. Shows error again and again. Used 3 attempts with same error in all 3.

By Audrius V

Jun 12, 2020

As almost all google courses on coursera this is the same exquisite bullshit mostly consisting of blah blah blah videos

By Christian W d P

Jul 28, 2020

No puedo terminar el curso. La ultima practica se bloqueo a pesar de que mi fecha indicaba el 27/07/2020.

By samstiyer

Aug 27, 2020

One of the labs is broken. Don't waste your time on this course it should be taken down until fixed.

By Нагайцев А

Sep 7, 2020

There is problem with step verifying In Lab BigQuery in Jupyter Labs on AI Platform.

By Aleksandar J

Oct 6, 2020

Shallow course. The support is one of the worst I have ever seen. Shame on you.

By Bensaad M

Feb 3, 2022

ML Pipelines on Kubeflow ne fonctionne pas à l'étape 2