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Volver a Google Cloud Big Data and Machine Learning Fundamentals

Opiniones y comentarios de aprendices correspondientes a Google Cloud Big Data and Machine Learning Fundamentals por parte de Google Cloud

14,851 calificaciones

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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....

Principales reseñas


2 de mar. de 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.


10 de feb. de 2021

This course is an excellent introductory to Google Cloud Platform for Data Engineers and Machine Learning enthusiasts. The labs are really thorough and give nice hands-on on the various GCP services.

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2401 - 2425 de 2,535 revisiones para Google Cloud Big Data and Machine Learning Fundamentals

por Sander v D

14 de oct. de 2020

It was ok, enjoyed the first lectures but not really the last. Maybe because my expectations were different.

por Vinay R

9 de mar. de 2022

I felt from Pub/Sub and Dataproc should have been much clear.

I got bounced from that module in Week-2.

por Starr B

12 de nov. de 2020

Not really sure it was the best course for Analyst. Hope the next recommendation is a better option.

por Matt H

23 de ago. de 2020

Good overview, but too much spoonfeeding. Too easy to get through the course without using your brain

por Armando K

12 de jul. de 2019

This trainning is very good, but it's necessary more time to do exercises to fix better the contents

por André S F

26 de oct. de 2017

Some parts in the final chapters could be either better or slowly explained, but the overall is ok.,

por Andrew P T

17 de jun. de 2019

one lab was broken. also, don't use passwords with % symbols in them for any of the pyspark labs.

por Vivek P

22 de ago. de 2020

I expected to get a completion certificate at the end of this course for my hard work and pace.

por Rune M

5 de jun. de 2017

Not as structured as the other Google Fundamentals course. I got a little confused at times.

por Miguel R

26 de dic. de 2017

It is very slow at the beginning, too much small talk, it is hard to stay focused that way.

por Joe G

13 de abr. de 2017

LOVED but wish it would have been more in depth and less of an overview of other services

por paolo t

29 de jun. de 2022

Entry Level users. It has a very professional and defined overview about main GCP tools.

por Tes90

8 de jul. de 2019

Not really helpful for learning specific skills, more like an advertisement of GCP.

por Dimitrios E

17 de feb. de 2019

Decent introduction, I was expecting more content and more hands-on practice though

por Yoshiaki N

1 de oct. de 2018

Almost all are okay. But some instructions in Japanese are wrong. So I wasted time.

por Kauker Z

8 de may. de 2018

Too beginner level, lot of waiting for recreating the Compute Engine instances...

por Yury P

11 de abr. de 2020

The course is theoretical and most of labs are just running pre-built solutions.

por Vicente G d S

22 de feb. de 2019

Course was good but an error on dataproc custed me 3 days wainting to finish it.

por Kamalesh R

25 de nov. de 2019

A little toaster science. Went through exercises, but didn't absorb materials.

por Farshid A

24 de nov. de 2018

There was an unnecessary amount of technicalities that were poorly explained.

por Punsiri B

19 de feb. de 2020

Module review should contains more question, so that student can study more.

por Navneet K

17 de ago. de 2019

Lab is a bit scratchy and i was facing trouble in submitting the assignments

por Ivan v

8 de abr. de 2021

Achei muito comercial e muitas coisas já estavam prontas sen ter q pensar

por Gheorghe G

27 de abr. de 2021

Class is outdated. Labs instructions do not match exactly GCP interface.

por 王煜杰

4 de abr. de 2017

花了2天过了一遍, 无脑跟着流程走就行了, 本来期待介绍怎么用cloud ml, 结果居然是用datalab(notebook)来讲的...