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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.

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.

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

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!

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!

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.

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.