I think this course is great. I started to understand the importance of a data-centric approach. Thank you for everything Prof. Andrew. I can't wait to start the next course.

A course that extends your vision about machine learning in production and helps you to understand that training a model and getting it with a good accurate is not enough

Excellent course, you learn about the fundamentals of MLOps. A recommended course if you want to understand the life cycle of a Machine Learning algorithm in production.

I learnt a lot of things in this course and I highly recommend everyone to take this course as some concepts are very important that can even help you in your practice.

Concise and straight to the point! It is a good and broad introduction to the topic. I'm confident it has prepared me well for the next course of this specialization.

This course is fantastic. Exceptionally well understanding of all the fundamental concepts required. Many issues that one would not have considered are well-covered.

A great course that Andrew provided to fill the gap between machine learning/AI in academia (model-centric approach) and industry production (data-centric approach).

Great course with wise tips and insightful recommendations. I'll get to provide more value to the machine learning projects I'll have be involved after this course.

Andrew Ng just has this unique blend of business wisdom, practical knowledge, and of course, epic theoretical knowledge. Can't beat the value of learning from him.

This course helped me land my first job as a data engineer. I am very glad to be a participant and student of Andrew Ng. I can't wait to finish its specialization.

Very well explained, Andrew Ng does a great job as always summarizing complex subjects in easily digestible lectures. A lot of thought went into this course

Very useful discussions and views. Great reflections on the value of data in the full ML cycle and the real challenges of putting a ML system in production.

A very comprehensive and clear course. Good concepts about machine learning applications and how conceiving academic and industry ML pipeline and scope.

It's just amazing!!

It covers a lot of concepts and practices of developing and deploying ML systems.

But we have a plus: tips from Andrew Ng experience.

The course went way beyond what I was expecting to learn. Andrew gives great advice on the role of a machine learning engineer as part of a business.

Really nice course, i really enjoyed all DeepLearning courses till now, helped me re-insure myself and also for a better organization of my projects.

Very informative even if with some-experienced data scienctist. I but sill strong recommend to put the lab as compulsory since they're really helpful

Really really worthtable to watch this and you will learn like actual practical knowledge which we used to follow in real world buisness ML problems.

This course is quite informative and one of the best. Highly recommend someone who is keen to learn about Machine learning in production environment.

I really enjoyed the course as it did provide very practical insights and recommendations of best practices to implement ML models in the real world.

This course is an excellent overview of the steps required to put ML into production. Andrew's explanations are clear, and his examples are spot on.

With this course though I have been in the field of ML and DL I was able learn many insights and tips to consider while deploying ML in production.

The course was very enjoyable, the readings and classes give you a basic but concise approach of what it means to bring an ML system to production.

Excellent resource material to understand the problems faced when deploying ML models in production and how to handle them at each and every stage,

As someone with experience working with Machine Learning in Production, this course contains valuable information to which a can strongly relate