Avis et commentaires pour d'étudiants pour Smart Analytics, Machine Learning, and AI on GCP par Google Cloud
À propos du cours
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.
101 - 125 sur 135 Avis pour Smart Analytics, Machine Learning, and AI on GCP
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 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 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
par Nagraja B
•6 mai 2020
Some of the labs had glitches. Overall a very good course.
par Abel Y T
•13 juil. 2021
Need More Video, expecially to learn syntax in bigqueryML
par Miguel M C
•4 oct. 2020
Too much issues in Qwiklabs
par Abilash S
•21 juin 2020
last lab fails
par Verda A
•30 oct. 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.
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