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It offers a good overview and also the possibility of completing the course in an easy way or working on more complicated exercises.

Excellent intro to ML in production. Andrew Ng gives very clear and practical advice around best practices across the ML lifecycle.

Excellent course to learn about data-centric approach in Machine Learning. All the ungraded labs were also informative and useful.

Easy to follow & to the point. As a SWE in industry I've seen many practical points being raised in this course. Would recommend!

As always, another great course taught by Prof. Andrew. Thank you coursera/deeplearning.ai team for offering such a great course.

Andrew does a great job of explaining Introduction to Machine Learning in Production. The examples really augment the lectures.

This is an axcellent introductory course in MLOps, and also for anyone who is looking for having advanced skills in AI career.

This is so packed with useful tools for both the AI practicianer as well as anyone managing an AI project. Highly recommended.

Everthing related to mlops introduction was amazing covered and this course also gave me some key insights in the mlops field.

Immensely useful. This course is densely packed with practical tips and provides a great overview of this nascent discipline!

I learned about the basics of the whole deployment lifecycle. The curriculum was very well organised and very well taught.

Very nice course. There are many points that are mentioned in this course that took me months to uncover on my own at work.

Prof. Ng does it again and offers more useful tips and insight to ML production issues. Great content, highly recommended.

Years of practical experience condensed in this course. Extremely relevant material for Data Scientists / ML Engineers.

It was easy to understand the workflow. But, I also want to work on a course which teaches a project using MLOps tools

I would like to thank Andrew for his very practical insights in the course. I don't think I could have asked for more.

Excellent introduction to MLOps by Andrew Ng. Practical and clear. Love the (ungraded) labs, highly recommendable.

Good for an introductory module. For the subsequent modules, expect to have more hands-on sections. Thanks Andrew!

The material is really close to the real industrial practice. Amazing reference if doing any ML engineering work.

This course is a wonderful overview of different steps of a machine learning project from scoping to deployment.

This course offers rare and valuable tacit knowledge, beautifully structured and presented. Highly recommended!

The course has well addressed the need and impact of rolling out MLOps practices to the traditional ML systems.

Very interesting course for actual product implementation of Machine Learning: Andrew NG is the best master!!!

I liked a lot, in particular the Scoping Optional Chapter and the ethical considerations for a better society.

Even as a Data Scientist, I found this very relevant to define & get a clarity on such frameworks & processess