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学生对 Google 云端平台 提供的 Smart Analytics, Machine Learning, and AI on GCP 的评价和反馈

1,116 个评分


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 Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs....



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.


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.


101 - Smart Analytics, Machine Learning, and AI on GCP 的 125 个评论(共 135 个)

创建者 Carlos D A

Jul 31, 2020

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

创建者 Hugh L

May 12, 2020

A lot of material, requires careful review and study.

创建者 Hiromu A

May 4, 2021

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

创建者 Guilherme M N

May 3, 2022

Pode ser melhor, ter labs mais didaticos

创建者 Imran R

Mar 21, 2021

This course help me understand AI, ML.

创建者 Y C

Sep 25, 2020

would be nice if it could dive deeper.

创建者 Rubens Z

Jun 10, 2020

I missed Dataproc approach

创建者 Youcef B

Jul 2, 2020

good for the introduction

创建者 Ijeoma O

May 15, 2020

quality springboard

创建者 Jorge G O

May 23, 2020

Very introductory.

创建者 Vikas J

May 11, 2020

Very informative

创建者 venkata s r

Apr 11, 2020

Good one.

创建者 Abhishek D

Jun 30, 2020


创建者 Ritesh K

Feb 7, 2020



Jan 14, 2020


创建者 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.

创建者 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

创建者 Alex s

Oct 1, 2020

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

创建者 rahi j

Mar 18, 2022

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

创建者 Jair M

Jan 14, 2021

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

创建者 Nagraja B

May 6, 2020

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

创建者 Abel Y T

Jul 13, 2021

Need More Video, expecially to learn syntax in bigqueryML

创建者 Miguel M C

Oct 4, 2020

Too much issues in Qwiklabs

创建者 Abilash S

Jun 21, 2020

last lab fails

创建者 Verda A

Oct 30, 2021

Whilst the content of this course is well structured, what let this course down is the dismal quality of support provided by the Qwiklabs support team.

Many Coursera students undertaking this course were adversely impacted by a technical issue with the lab exercise titled Predict Bike Trip Duration with a Regression Model in BQML. Upon raising a support case to the Qwiklabs support team, it was confirmed that this was a known issue. In spite of that confirmation, no notification was provided to all impacted students to inform them of this and instead, support was poorly handled on a case by case basis.

Impacted students were not provided with any clear, consistent, and detailed messaging by the Qwiklabs support team (e.g. what the issue is, who is taking care of it, when it may be resolved, when another progress update may be available, what is the workaround in the meantime, etc). In addition, aside from an initial response upon raising a support case via email with the Qwiklabs support team, no further responses were provided from them in spite of impacted students following up to request progress updates. There was basically a period of >10 days of radio silence from the Qwiklabs support team.

This is an incredibly disappointing experience and degrades not only the quality of an otherwise great course but also negatively impacts the experience of using the Coursera platform. It is a pity that the instructors of this course who have clearly put in a lot of effort into content creation have been let down by the Qwiklabs support team.