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

good for the introduction

quality springboard

Very introductory.

Very informative

Good one.

Good.

good

good

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.

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

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

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

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

Need More Video, expecially to learn syntax in bigqueryML

Too much issues in Qwiklabs

last lab fails

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.

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.

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.

It has some good parts on BQML, the rest is very shallow and quick overview.

Cannot complete the course because the first lab in Week 2 is broken. Shows error again and again. Used 3 attempts with same error in all 3.

As almost all google courses on coursera this is the same exquisite bullshit mostly consisting of blah blah blah videos

No puedo terminar el curso. La ultima practica se bloqueo a pesar de que mi fecha indicaba el 27/07/2020.

One of the labs is broken. Don't waste your time on this course it should be taken down until fixed.

There is problem with step verifying In Lab BigQuery in Jupyter Labs on AI Platform.