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Avis et commentaires pour d'étudiants pour Smart Analytics, Machine Learning, and AI on Google Cloud par Google Cloud

4.6
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1,163 évaluations

À propos du cours

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 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 Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Vertex AI. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs....

Meilleurs avis

HM

11 mai 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

15 mai 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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101 - 125 sur 141 Avis pour Smart Analytics, Machine Learning, and AI on Google Cloud

par Pascal A S

3 juil. 2020

Solid module. The Kubeflow Qwiklabs would benefit from improvements.

par Andrea R

1 mai 2020

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

par Kimberly S

9 nov. 2020

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

par Carlos D A

31 juil. 2020

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

par Hugh L

12 mai 2020

A lot of material, requires careful review and study.

par Hiromu A

4 mai 2021

It was good course to see the overview of ML on GCP.

par Guilherme M N

3 mai 2022

Pode ser melhor, ter labs mais didaticos

par Imran R

21 mars 2021

This course help me understand AI, ML.

par Y C

25 sept. 2020

would be nice if it could dive deeper.

par Rubens Z

10 juin 2020

I missed Dataproc approach

par Youcef B

2 juil. 2020

good for the introduction

par Ijeoma O

15 mai 2020

quality springboard

par Jorge G O

23 mai 2020

Very introductory.

par Vikas J

11 mai 2020

Very informative

par Ali M

13 oct. 2022

Good course

par venkata s r

11 avr. 2020

Good one.

par Abhishek D

30 juin 2020

Good.

par Ritesh K

7 févr. 2020

good

par SAJID M W

14 janv. 2020

good

par Pratik M

27 avr. 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.

par Boris P

28 juin 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

par Peter C

5 oct. 2022

Flakey - resource issues.

Datastudio issues.

And quiz not registering answers - so not completing properly.

par Alex s

1 oct. 2020

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

par rahi j

18 mars 2022

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

par Jair M

14 janv. 2021

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