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學生對 Google 云端平台 提供的 Smart Analytics, Machine Learning, and AI on GCP 的評價和反饋

1,112 個評分
133 條評論


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....




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.



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 個評論(共 133 個)

創建者 Hiromu A


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

創建者 Guilherme M N


Pode ser melhor, ter labs mais didaticos

創建者 Imran R


This course help me understand AI, ML.

創建者 Y C


would be nice if it could dive deeper.

創建者 Rubens Z


I missed Dataproc approach

創建者 Youcef B


good for the introduction

創建者 Ijeoma O


quality springboard

創建者 Jorge G O


Very introductory.

創建者 Vikas J


Very informative

創建者 venkata s r


Good one.

創建者 Abhishek D



創建者 Ritesh K






創建者 Pratik M


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.

創建者 Boris P


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

創建者 Alex s


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

創建者 rahi j


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

創建者 Jair M


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

創建者 Nagraja B


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

創建者 Abel Y T


Need More Video, expecially to learn syntax in bigqueryML

創建者 Miguel M C


Too much issues in Qwiklabs

創建者 Abilash S


last lab fails

創建者 Verda A


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.

創建者 Philip G


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.

創建者 Shubha H


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.