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Learner Reviews & Feedback for Managing Machine Learning Projects with Google Cloud by Google Cloud

4.6
stars
3,604 ratings

About the Course

Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team....

Top reviews

AK

Apr 29, 2020

Apt level of coverage for business professionals and project managers. There were few advertisements for the google training which can be minimised by just referring and not going too much in detail.

VK

Apr 4, 2020

An excellent course to understand the multiple use cases of Machine learning along with 3 Labs for hands-on training,that too,without any coding :-).

One of the best courses available on Coursera.

Filter by:

651 - 675 of 939 Reviews for Managing Machine Learning Projects with Google Cloud

By Zulhaimi

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Jul 18, 2020

good

By Sumanth G (

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Jun 20, 2020

good

By Abhishek V

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Jun 12, 2020

Good

By Siraj M

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May 27, 2020

nice

By SIDDHESH V P

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May 13, 2020

Good

By Atul b

•

May 6, 2020

Fine

By Raja R G

•

May 2, 2020

Good

By Julian D C

•

Apr 10, 2020

Nice

By Alireza A

•

Apr 23, 2020

-

By Pankaj M

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May 14, 2020

This would be a 3.75 star :) Happy about some aspects of this course but then also expected more detail in other areas. Overall I think you're better off having some other basic ML exposure before doing this.

The labs do expose you to Google Cloud ML toolkits. But frankly the "labs" aren't really labs as much as a series of click-thru steps to be followed. Feels like driving only with training wheels rather than actually testing any understanding. Since these Google Cloud ML areas are quite complex so they would have to spend a lot more time on the Lab setups to make these really Labs to learn from. Personally I would have been okay if a lab took 4-6 hours but really made us go through some of the details of "WHY" we are going through those steps rather than simply stepping through.

The areas on Bias and Fairness are quite good in terms of making you think. Overall good started package. Some links on what to explore deeper in each area would also have been useful.

By Life S w P

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May 11, 2020

Great Course, well worth the time and the paid version to get access to exercises really enriches it.

Who Should attend: If you are a business leader with a cynical or confused view on how machine learning could possibly bring value to your business then this course is perfect. It clears away a lot of the crap that SaaS and other IT firms have put out in their marketing and gets to the underlying benefits for you.

Beware: The busines side of things is buried in amongst some techincal concepts. this might appear 'pointless' but you really will struggle to fully appreciate the possible use cases without at least getting your feet wet on the technical.

Best Approach: buy the certificate version and follow the tech exercises. They are very well structured and easy to do. Don't worry about remembering how to do things, just let the principles wash over you.

By Dustin B

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Nov 20, 2019

The lectures are really good and inspired me to think creatively as to the application of the ML into my business. However i found the working activities slightly complicated considering i have no formal ML or systems training. The instructions (IMO) need to be a little more dumbed down. Some of the apps dont match up to the course material from a UI persperctive possibly due to updates but i eventually figured it out. The Pacing was great and i enjoyed how succint the lecturers were and avoid repetition (i find some other courses use too many of the same examples for a point)

The SQL sections completely threw me off (i do not have any SQL backround) which was the only activity i felt uncomfortable doing not really understanding how the scripts perform and.

Other than that, great course. I finished early as i was so intrigued by each module

By Honggan S

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Aug 2, 2019

This is great for me to understand the concept of the Machine Learning.

The use cases are eye-opening, but a few of them are too general (yes, the Fast Retailing).

The first lab (pizza robot) is very fun, not so much in the next two. The reason was that I do not quite understand how does the photo recolonization and big query work, so the lab experience felt like following guide and clicking the button. I will, however, redo those exercises once I have more acknowledge about technical side of ML.

The quiz about identifying proper business problem for ML does not provided any explanation, and it did not help me learning.

Last but not least, the sections about bias and fairness are fantastic! It really makes me think about our responsibility when using ML.

Wonderful materials for non-technical users like me.

Thank you!

By Erikton K (

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Apr 15, 2021

I really enjoyed this course! The instructor does an amazing job in delivering information at a good pace and clear language which I think is crucial for any good course. The material is well-structured, and unlike some of the other GCP courses, the labs are working for the most part. One improvement could be made on the lab structure, as the timed format encourages rushing and getting to the end of the lab, without necessarily absorbing information and learning. On the same topic, knowledge of SQL becomes a prerequisite to make the mental jump from regular SQL queries to GCP/SQL queries. Overall still a great course!

By Yash K

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Jun 22, 2020

Overall, the course is a very comprehensive course. It provides a good overview of various machine learning principles from a business standpoint. However, the course material can be improved a bit and my suggestions are given below.

The lab material is old and outdated for some of the labs. It might be good if the instructors can update the same. Also in a few videos, the teaching staff mentions about additional resources, but they aren't available within the course. So would request you to either provide those resources or edit the videos accordingly.

By Liubym G

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May 16, 2020

I've taken a similar Amazon (AWS) course before, and should say that this Google's course is much better suited for the beginners. AI and ML are explained in relatively understandable terms, with good real-life examples. At the very least, I now have a structure in my mind that can be accessed whenever a discussion on ML in professional settings is taking place. Some parts of the course (especially the last lab) were way above the grade of the purported target audience - I think, Google might revise them for better comprehension.

By Arushi T

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Jun 7, 2020

This is a great class for those looking for fundamentals of machine learning. If you already have ML experience or currently use Big Data at your company, you may find large parts of the course redundant. The labs are also quite easy and require little to no independent effort as the instructions tell you exactly what to do and write. This is a beginners class for business professionals, not intermediate or advanced. But fantastic if that's what you're looking for.

By Bhimesh S

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Apr 14, 2020

This course has been designed for the beginners in machine learning. Theory is very important to understand the basics and idea of machine learning, which is existing from quite a long time by now. This course gives you a systematic understanding of components of ML with current real life examples. This program has been explained so elegantly by some of head experts in google. Thank you for giving a real good start for my journey of learning ML.

By Rui F O L H

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Jun 7, 2020

Foi muito importante para contextualizar a utilização do ML, como a esta ferramenta pode ser aplicado nos negócios e como deve ser gerida.

Foi também importante para perceber em que áreas nos devemos especializar e como tirar partido da riqueza em dados que a empresa possui e que não está a ser usada.

Gostava que o curso tivesse mais tempo dedicado a explicar os modelos de AutoML que existem e sua aplicabilidade prática.

By Pranjal T

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Apr 22, 2020

Very helpful to get a great overview of all the aspects related to applying ML in a business setting.

This was not a technical course at all as they clearly tell at the very start. However, I think it would be useful to explain a little bit more technicality in the How ML works module to give a better intuition of what happens to the students who may end up taking this as their first ML course ever.

By Muhaiminul I A

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May 10, 2020

It's great course for a business professional who is in any strategic planing and managerial post to think out of the box. Help them collecting organized and necessary data and utilize this data by feeding into ML model to predict their customers behavior and other associative environments of business. More over, it will help to accelerate the business through the prospect of ML.

By Snigdha

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Jul 29, 2020

Great, non-technical course on Machine Learning providing inspiring use cases, a high-level framework for managers who are seeking to hire people in their Data Science team and getting to explore interesting tools developed by Google and its partners in the field of Machine Learning. No prior coding experience necessary, since it's not the subject of this course.

By Lucas K

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Apr 7, 2020

Overall, a well-structured course providing a good overview of ML and Google Cloud functionality, but occasionally felt like a sales pitch rather than a learning course. Quizes are not rigorous and look more like box-ticking exercise, so not very useful. Qwiklabs exercises and videos sometimes don't match, so update would be useful. Overall, time well spent.

By Deleted A

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Jun 28, 2020

This is a nice introduction to Google's Cloud Platform ML basic functionality. Additionally, they give you some intuitive understanding about the application of machine learning for business problems. The course is intended for business leaders, which need an overview over functionalities and potentials for technology application and decision making.

By Lorenzo F

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May 9, 2020

Very good introduction of ML For non developers, I guess it’s the only course around helping people understand what ML is and how it can be used in business without throwing you Into a loop of insane amount of math And statistics.

Some exercises can be better explained or clarified, especially the BQML lab, there is no real explanation to it