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

4.6
stars
865 ratings
110 reviews

About the Course

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs. New! CERTIFICATE COMPLETION CHALLENGE to unlock benefits from Coursera and Google Cloud Enroll and complete Cloud Engineering with Google Cloud or Cloud Architecture with Google Cloud Professional Certificate or Data Engineering with Google Cloud Professional Certificate before November 8, 2020 to receive the following benefits; => Google Cloud t-shirt, for the first 1,000 eligible learners to complete. While supplies last. > Exclusive access to Big => Interview ($950 value) and career coaching => 30 days free access to Qwiklabs ($50 value) to earn Google Cloud recognized skill badges by completing challenge quests...

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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76 - 100 of 109 Reviews for Smart Analytics, Machine Learning, and AI on GCP

By Sandeep M

Apr 5, 2020

Course gives basic overview on ML concepts and how we can do using GCP. Good enough for Data Engineer to understand

By GAURAV B

Mar 27, 2020

Few important concepts like kubeflow should have been covered in a bit more detail.

By Etienne M

Apr 24, 2020

I learned how to use Auto ML and its benefits. The tool looks like a black box.

By Yokesh N

Jun 22, 2020

Great learning. Thank you for the wonderful videos and assessment labs

By Pascal A S

Jul 3, 2020

Solid module. The Kubeflow Qwiklabs would benefit from improvements.

By Andrea R

May 1, 2020

nice introduction in the world of AI in gcp. Relatively short though

By Kimberly S

Nov 9, 2020

Running AI models on Kubeflow - this lab is long but interesting

By Carlos D A

Jul 31, 2020

Great course, except many of the labs were on cloud shell only

By Hugh L

May 12, 2020

A lot of material, requires careful review and study.

By Yang C

Sep 25, 2020

would be nice if it could dive deeper.

By Rubens Z

Jun 10, 2020

I missed Dataproc approach

By Youcef B

Jul 2, 2020

good for the introduction

By Ijeoma O

May 15, 2020

quality springboard

By Jorge G O

May 23, 2020

Very introductory.

By Vikas J

May 11, 2020

Very informative

By venkata s r

Apr 11, 2020

Good one.

By Abhishek D

Jun 30, 2020

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 Jair M

Jan 14, 2021

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

By Nagraja B

May 6, 2020

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

By Miguel M C D R

Oct 4, 2020

Too much issues in Qwiklabs