Very practical materials and application-focused methodology! A lot of rule-of-thumb gathered from ML pipeline experiences. Clear definition on acronyms and mainly easy-to-follow non-technical guidances.

Very valuable course for those who already have some knowledge on machine learning or AI applications. Very close to what systems engineering processes recommend, as when seeking ISO15288 compliance.

Excellent course, as always. Very well explain for both Data Sicientist, Software engineer and Manager (with some basics undertsanding of ML). One of these courses that Data Sientist should follow.

really a great course. It'll really change your way of thinking ML in production use and will help you better understand how can you leverage the power of ML in a way that I'll really create a value

I​ntroduces you to the basics of MLOps in a well paced mannar. Would request to add more examples of structured data sets, as many companies usually are dealing with the related problems.

The content of this course has been especially useful for me. I wish there were more emphasis on the tools recommendation as well, but the theoretical knowledge was just fine. Thank you!

Practical and well-structured advices throughout the lifecycle of ML. Examples from real world problems & experiences make the advices more tangible and helps to reflect on own problems.

Andew Ng is truly a world leader in the field, the way he approaches the subject and the explanations he gives are truly unparalleled. It always a pleasure taking a course he instructs.

G​ood intro on key concept in MLOps. Would recommend it to anyone who is stepping into this field as well as for ML Hobbists to understand the main challenges of a ML production system

This is a great course to learn many practical procedures and techniques, to apply ML algorithms to real world problems and do it well, by avoiding common mistakes and deliver value.

Wonderful and practical MLOps introductory Materials. Very systematic and useful! Always appreciate Dr. Ng uses the most easy to understand language to explain difficult problems

I would recommend this course to anyone who has to implement models in production. It is an introductory course but it does have a few key concepts that are good to keep in mind.

An excellent start for becoming a Machine Learning Engineer where one learns about the complete lifecycle of a machine learning project from scoping to deployment to monitoring.

This course helped me to organize my knowledge, and showed the questions that I should regullarly ask to either technical, or business teams to create valuable AI-based product

T​he course helped both validate what I knew about the topic and update me about many new trends/tools via high quality references + first hand experences from the instructor.

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.

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.

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.