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Learner Reviews & Feedback for Google Cloud Big Data and Machine Learning Fundamentals by Google Cloud

4.7
stars
15,919 ratings

About the Course

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud....

Top reviews

VS

Mar 2, 2019

Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.

AD

Sep 23, 2019

This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.

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1851 - 1875 of 2,690 Reviews for Google Cloud Big Data and Machine Learning Fundamentals

By Diego A M

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Oct 27, 2023

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By YUJEONG K

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Jan 9, 2022

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By Srikanth A

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Aug 25, 2021

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By Mayank G

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Jan 16, 2021

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By Wasin D

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Sep 15, 2020

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By 김태규

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Sep 7, 2020

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By Aldry D P

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Jun 1, 2020

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By Luis R

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May 19, 2020

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By Park J

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Oct 21, 2019

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By Mauricio D

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May 30, 2018

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By Jyothi K

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Jan 10, 2018

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By Danish S

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Jun 10, 2019

Good Course! The instructors are great and explain the concepts well. The new course 1 is definitely better than the older version.

However there is a long way to go to make these courses such that even a newbie can go thru them without a programming background. Please add courses that provide optional training to cover the background needed in e.g. SQL or Networking or Python programming. It would be very helpful if the instructors didn't copy scripts/templates and walked thru them step by step or at least have optional video to explain what they are doing in these

You guys need to direct people to follow these courses in a sequence - e.g. first do Data Analyst courses, then GCP Architect courses 1 to 5 to get basic understanding of the platform and then do Data Engineering courses.

More labs and lab time are needed to help build confidence. Challenges and solving problems by ourselves without having to worry about time limit on lab time would definitely make students more use to the platform.

By Shayne L

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Feb 17, 2022

It is nice that Google staff prepared these tutorials and demos as a comprehensive introduction to the Google Cloud Platform. However, the materials feel very dense for a 2 week course, with more than 500 slides from the module resources to cover and a few hours of laboratory work. The time estimation does not include reading the provided links for each module to understand different GCP services. As a beginner to the platform, I find it easier to divide the 5 modules over several days, instead of watching 2 modules back to back on the same day. For perspective students, note that it takes a little more effort to replicate the demo activities because the GCP web UI has updated since the course videos were recorded, but you can also treat it as an opportunity to click around and see what the platform does. It would also be convenient if we can save a copy of the lab activities as PDF file or Word Doc.

By Da J J

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Oct 29, 2018

El contenido es adecuado y por ser un curso de introducción es bastante completo. Lo único que ha chafado el curso ha sido tener que hacer los labs varias veces a fin de conseguir la nota.

No he terminado de resolver por qué he tenido tantos problemas, la cuestión es que en los foros hay mucha más gente que ha tenido problemas semejantes. Al final esto entorpece el aprendizaje, si llevas un buen ritmo tener que hacer las cosas 3 y 4 veces parece un poco exagerado.

De todos modos, me llevo una buena experiencia ya que los problemas finalmente se han resuelto. Tengo que añadir que los problemas mencionados anteriormente creo que son más problemas de Quiklabs. La nota ya no me subía en su plataforma (aunque hiciese paso por paso la práctica), y por tanto, esa nota es la que se reflejaba en Coursera.

By james t

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Mar 11, 2017

This was a good overview of the services Google Cloud Platform offers. There were a few bugs with the quizzes, but overall it was put together well and had a lot of information for a short course. I think it is a good introductory-level course for a person who has some background in Data Science and cloud computing, but not much experience with Google Cloud Platform. The tutorials and exercises are quick walk-throughs that can be completed in 10-15 minutes each. They give you a feel for how the Google Cloud APIs work and what some of the capabilities are, but don't go into much depth. This is an ideal course for a person who is considering using Google Cloud Platform but isn't sure what the advantages and capabilities are.

By Shuji M

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Sep 28, 2018

Good contents. However, the scoring system is not working well, and I could never finish the course even though I got full mark at least 5 times in the machine learning application lab. Besides, after one week, I was charged 42 euros and feel so sad about this experience. I would like to mark 5 stars in the content, but the scoring system didn't work well with Firefox, and even had a trouble with Chrome, and I was charged 42 euros even though I finished all the contents within one week. So, sadly, I can only put one star as an overall evaluation of this course.

Edit: After some interactions with the support team, I was able to see this course completed. So, I put 4/5 stars.

By Nethra S

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Jan 7, 2019

Some times, there are differences in the way the instructors setup programmatic parameters vs. quiklabs. Also, scoring is best only if exactly follow up what the instructors say, for example folder names, though that is not necessary as long as consistency is maintained. This is important especially the student fails in an attempt and the system does not reset all the parameters, for example the system does not reset all the previous folder names, unnecessarily, and painfully in terms of time. All these makes it less robust for shorter knowledge based executions. Thanks for the course.

Resolutions: Invest your time in the script part to resolve the issues; they are great!

By Lauro O

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Jul 2, 2017

The instructor is very clear and conscise. He gives people time to digest all the information which helps us to understand every aspect of its speech. The exercises are good as well, even though I believe it could be a bit more explained in details each part of each exercise.

I just didn't give 5 starts because I thought there could be a more bigginer's training as I have zero experience with the Cloud and within developing with Python.

Because of that, I realized it is better to have some good knowledge on it before hand.

I'm very inclined in taking the next trainings though.

Thanks for such nice teaching.

By Tommy T

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Aug 10, 2022

Most of the course was well made, it explain very well the fundamental.

The only thing that didn't satisfy me were some labs, where not everything worked properly.

In the lab with datastudio I think there where too much things to and the time wasn't enough I think the time should be augmented for that lab.

And the last lab had problem with the pretrained model it always predicted one label.

Also I think it could be useful to make a deploy of a model on a endpoint, if the problem is the training time then the deploy could be done with a pretrained model.

By Wanda B B

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May 27, 2019

There were a few frustrating technical issues caused by Google Cloud Platform outages, using Qwiklab was fairly clunky, the tutorials weren't as in-depth as they could have been (really, you're only marked on your ability to follow the basic instructions to create compute engine instances, cloud datastore buckets, etc.) and there were Coursera issues (e.g. quiz result page not showing what the original question text was for your answer). The lectures themselves were informative and utterly redeemed these issues.Thanks, Lak!

By Serge B

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Oct 6, 2017

Good overview with hands on labs. Might not be as useful if you already have some experience with GCP. This course is about familiarisation with GCP products, it doesn't require you to understand the code that's used in the labs, however it gives you a good perspective about the capability. It certainly opened my mind about the potential solutions and usability of the platform. I still find the price for this course a bit high, it's not the best value for money given that this is also promoting Google products.

By Emanuele G

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Apr 6, 2020

Very clear course covering basics of cloud computing and machine learning, as well as introducing Google Cloud Platform tools and services.

Lab sessions are easy to go through and still allow a certain degree of exploration; the only drawback is that the last lab session of the course should comprehend a tour of Cloud Vision API along with an AutoML example according to the Coursera page, while in the lab itself only the latter is present. I would suggest adding it back or updating the description.

By Josy

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Sep 5, 2018

Clear and informative videos introduced me to several new products. "cut & paste' Labs three starts. Lump first three into first, & two ML labs into one, & develop new ones that require students to write their own apps. The extra 'exploration time' on early labs was useless to me because did not have permission to set up a 'hello world' app. or access most of GCP options. Would be nice to provide lots of extra 'challenges' (w/tips, got FACE_DETECTION but never could view jpeg files)

By Anton A

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Sep 22, 2017

This is super important and interesting course. However, I'm not happy with pace of the course. Instructor's narrative is slow (I've found it can be heard at 1.25 speed without loosing a topic). Another "complain" is how topics are presented, author expresses too much personal experience on them. This is good and interesting, however, when you are on Coursera's deadline, you need to be material oriented. This is not my first course, so I can compare this course with other ones.

By Ingrid J

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Nov 10, 2018

I really enjoy the instructor's way of explaining things and the content was basic but clear. I found the course a bit basic for my skillset so I would like to have some challenging alternative in the labs. More hands on. Example: instead of telling me the command line to import a file into Cloud storage, provide an instruction such as: using gutil upload the csv file into Cloud Storage. (hide the solution and allow me to see the solution if I want/need to)