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.

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.

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.

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.

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

The course provided an insightful introduction to machine learning. It was inspiring to recognize the importance of domain expertise in reaping maximum benefit from ML models. It triggered my imagination on possible use cases in my own line of work, and how data management could be improved to allow ML to add more value in the future.

A good course with just the right amount of topics required for business professionals to understand the nuances of Machine Learning. The course talks a lot about the principles and processes involved in moving towards building a Machine Learning model. I enjoyed the Bot creation bit. Will surely give it a try post the course !

The course was interesting and helped me get a basic introduction to machine learning. I found the course material interesting and the presenters did their best to be engaged with the viewers. The quizzes could have been more rigorous. They did not serve the purpose of testing your understanding of the principles.

Good introduction to ML for novices. However, certain concepts such as Data lakes, data warehouses and transition methodologies could have been covered more deliberately. Also would have loved if information was provided for Step by Step building an ML model/ application from a non-technical perspective.

Very useful for technical and business professionals who are looking to upgrade their knowledge to keep up with latest technical developments and introduction to open source platforms created by Google for seamless integration of machine learning and streamlining of business units and processes.

Interesting course from management perspective. Labs are pretty short and not that useful though without adding much to the topics discussed. Since I work on the more technical side, it was useful to try to see my work from my boss' perspectives and how they think about it vs how I would.

I really like this course, the explanation is interesting and easy to understand. Then there is practice at qwiklab to make courses not boring. However, I was a little annoyed when the course change suddenly arrived, and I had to start over, even though I was almost done working on :(

The course served a purpose of helping me understand the concepts of machine learning and triggered some thinking in terms of its applicability to the real world. The instructors did a great job with presenting real life examples and helping us think about the power f this technology.

This has widened by ML thought process by not only focus on the problem but other important aspects that need to be taken care of. Good balance of theoretical and practical training sessions(on Qwiklabs). Google's BigQuery and AutoML are very easy to tackle ML problems. Thank You

As a ML Product Manager, this was a helpful introductory course to discover ML use cases, prerequisites to ML models, data strategy, several ways of labeling, and fostering an innovative culture in an organization. Many thanks to Coursera and Google for putting this together.

This course is useful & easy to learn by beginner but some error while connecting server in google cloud assessment in External graded tools using qwicklabs & no response for only reason i will rate this 4star, except this problem the course knowledge is quite good

Great course. It not only covers ML to great extent but also talks about responsible AI/ML and importance of data governance. Lak and valentine were simply awesome , they made concepts easy to understand. hands on helped to get real feel of application.

as a beginner, where can I design machine learning model at local as well as corporate level, is still confusing. Many tools were shown which were good. However. where to get all such data for analysis is not shown, so it might be added in next course.

Exceptionally complete and outstanding summary of learning algorithms used currently and globally in software industry. Professor with great charisma as well as patient and clear in his teaching. GCP is one of the best platform to practice your skill.

This course provides a good overview of machine learning concepts and data analysis techniques. The course is not overly technical and therefore is good for business professionals who want to gain a better understanding of machine learning concepts.

It was a real pleasure to learn this course. By understanding the Managing Machine Learning Projects, i am now prepared to learn in deep Data' roles and job and to use Data Science's tools as Machine Learning to improve my way to work with data.

Good Overview for Business Professionals with no or only limited technical background. Shows you what is already out there and how some competitors might be using ML already. Obviously very Google product oriented. Teachers were very likeable.

The Course is very Good To Get Started and to get Understanding,Must for who are new to ML and want to know how to apply it into business From Scratch To End to End,from Single to Many Model in a continues integrated Pipeline ! and Much More.

It was a little bit hard for me to get all information from this course. But I really enjoyed examples of cases of ML and also I liked challenges that I have to complete.

Thank you for this course because I understand a little more about ML.

there were some instructions has to be mentioned at the beginning of the course that you should try the labs from your personal PC not from organization provided pc which sometime blocks ports which are required for the AIML GCP lab