the kuberflow lab assignment had technical issues. After submiting the concern did not get any fruitful resolution.

This course is good as an overview. Labs, compared to other courses on this series are lower quality and some are plain broken. It looks like this course is a number of assorted course snippets (from other, older courses) put together into this course.

One of the lab's was broken. It eventually got fixed but it took nearly 2 weeks.

In my opinion this course is very general. It's good for those who want to know what feature google cloud platform offer for machine learning development. The lab was interesting, that we use real world data, but I think it's still lack of in deep explanation. Well, yeah because in this course is more focus for the data engineer not for data scientist or analytic. So 5/5 in my opinion

I found the course very helpful for a Data Scientist/Data Engineer to get familiar with the Google Cloud services for Data Analysis and Machine Learning. After this course, I am comfortable at least using AI Notebooks combined with BigQuery. I think I’ll choose Kubeflow as a Service instead of creating a Kubernetes cluster then install Kubeflow. That part and relevant Lab was confusing for me, though this is nothing to do with Google Instructors or Qwiklabs. Basically, Kubeflow, Kubernetes are complex for me still. I recommend the course, take time for the labs.

This course In a very condensed manner teaches about Kubeflow (a Kubernetes based platform for portable and scalable Machine Learning), BigQuery Machine Learning (BQML, a machine learning framework integrated directly into BigQuery data analytics service), AutoML (code-free ML to build advanced ML models on Google infrastructure) and some other remarkable GCP tools/services! The course is amazing and I am surprised that it is not included in the Google ML specializations.

Really great course with in depth explanations of all important GCP features. It helped me a lot.

Personnally I would prefere not to have pseudo deadlines and a separation of courses into week1/week2 as I did the courses whenever I had time and the separation was slightly distractring. Only a minor point though.

The course was so deep and well organised for easy understanding and also the labs were good too.One thing which was missing is that ,"Solution videos for labs which would be useful for verification".

Thank you for extending my attempts to clear the labs which are difficult sometimes

This suite of courses helped me to get a complete understanding on the delivery of cloud platform in solving distributed computing models. It also gave me complete insight as to how technology liberates the humanity from perennial problems.

An introductory course with good examples of how to use different google tools to develop and deploy machine learning models, very well tough and perfect for a high level understanding of the GCP AI platforms.

Without a doubt the best course, I have learned a lot not only from GCP but from many aspects of cloud computing and the skills necessary for a data engineer. Thank you very much for the opportunity.

Very good ML course to introduce students with Google Cloud machine learning capabilities. Maybe there should be a lab for AutoML (after video lessons), as it exists on Qwiklab platform.

This course helped me to do smart analytics, and in my current job I was able to apply Machine Learning easily on GCP, and I helped my team to the AI platform like experts.

Content was fun and exciting but some exercises/graded labs inside this course are very unclear with the instructions and also took a long time to finish (model training).

Amazing to be part of this great learning Journey!! I am learning concepts and strong fundamentals to build a good foundation.

Excellent course. Gets pretty advanced with developing ML pipelines with Kubernetes Engine, but otherwise very accessible.

Great Big Picture about ML options on GCP, with good highlighting to main advantages and differences for each option.

Always exciting to do machine learning with big query I learned a lot in this course which I highly recommend

Smart Analytics, Machine Learning, and AI on GCP is not easy to create data with kubernetes in Biq Query.

really nice training. take your time doing the labs, examining the queries in all detail.

Great insight about using machine learning on Google cloud platform. I am impressed

Good structure and overview of things which can be accomplished in GCP Analytics

Excellent, the instructors are so kind, the quicklabs labs are so great - thanks

I recommend this course everybody, who want to get some knowledge about BQML.

Great course to have a complete overview of the GCP platform and components.