Some very good info, but I feel the content could be more interesting. Suggest more narrative on context and more exciting examples.

Not easy to understand at all. Not recommended for beginners in machine learning/data science or the programming world.

First half of the course is fantastic. Second half is just videos. I feel like they rushed putting this together.

The first and last instructors were good, the second instructor was extremely slow and lacked conviction

Quite informative about the google ML services and the mindset behind using AI for business.

Good course but could be better if the presented use cases had been a little bit more deep.

Things are pretty basic, was looking forward to more technical and solid knowledge.

Understood a little of machine learning in professional business

between week 2 to 3 ,It's a little bit difficult to understand.

Many time not able to work on google tools

Lab Instruction and Lab Doesn't Match.

More Practicals will be helpful

To much general

NOT TOO USEFUL

extremely good

Great

okok

I think this was a good introduction to some of the theories/motivations behind machine learning but it lacked a lot of depth. Most of the time, it just seemed to be an advertisement for Google and Google Cloud Services. I also felt like it lacked a lot of hands-on activities that would have been more enriching and instead just placed the explanations in the videos. For example, instead of a video explaining how to clean data, a hands-on activity where the student practiced cleaning a dataset would have been better. The labs just seemed like more advertisements for Google Cloud Services and I don't think I learned much from doing them. I think this is good foundational stuff if you've never touched ML before, but honestly I would not recommend paying for it. A more interactive course on ML, maybe one that does involve some coding or some data manipulation, is probably worth your time and money.

This was part of an overall curated bundle of courses focusing on applications of AI, hence may add some context. However, overall I found this course frustrating: 1. First released in 2019, could do with an update 2. Content is sometimes not explained well. Similar courses completed, explain the same concepts far better. 3. Assessment questions are verbose, and not clear. 4. Labs are highly frustrating, sometimes challenging to follow instructions.

The final module about building team is interesting to me, but I don't recommend other ambiguous/ethical/philosophical topics for non-natives like me. (For natives, they may be inspiring, thought-provoking.)

Technical exercise in Google Cloud Platform doesn't have much explanations.

When I choose incorrect choice of quiz, I see "review last module" message and I can't know why the instructor thinks it is wrong.

Not worth it gone for it cause it was available for me free it's not the basic and not the intermediate course it's some what in the middle of both which make the course hard to understand, If you want to a kick start with AI with zero knowledge go for the AI for everyone course which is the best for starters.

The content is great, detailed and full of great examples to understand real life/business examples. But the assignements with Quicklab are not enough detailed, you need youtube video to complete it, and module 6 assignment will make you very frustrated until you find a workaround on youtube.

This is mostly a Google advertizement for its products. This is also lost in between, not targetted towards either analytics managers (too basic) or business managers (too technical and not relevant). But still informative in certain places

There is more that you can add. I felt it was rip off. We need more practical examples of how companies use ML. What are different models of machine. The lab exercises were interesting though.

Provides a broad outline of ML. Probably too broad to be of any actual use. Ends up being an advertisement for Google products. Wish there was more of Val Fontama, and less of Lak Lakshmanan.