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Learner Reviews & Feedback for Cloud Machine Learning Engineering and MLOps by Duke University

72 ratings

About the Course

Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications. Then, you will learn to use AutoML to solve problems more efficiently than traditional machine learning approaches alone. Finally, you will dive into emerging topics in Machine Learning including MLOps, Edge Machine Learning and AI APIs. This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you will build a Flask web application that serves out Machine Learning predictions....

Top reviews


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Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples


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Great course to know practical ideas and concepts.

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1 - 13 of 13 Reviews for Cloud Machine Learning Engineering and MLOps

By Maciej L

Mar 31, 2023

Once again, disappointing repetitions. Weak syllabus structure. It is based chiefly on Mr Gift's practical know-how. He seems to me like a Cloud/DevOps evangelist really, and a fan of black-box ML solutions.

By Oleksandr S

Feb 10, 2023

The course is an introduction with a lot of repetitions from other courses of this specialization. I don't like how the information is prepared. A lot of videos are lectures from the instructor's work in university and from other courses (e.g. courses from Udacity). Don't think that certificate really costs that money.

By Yağızhan A A

Feb 8, 2022

Amazing teacher and perfect mixture of necessary informations. It was a privilage to learn from him, i recommend this course for every ML Engineer.

By Aaron D

Nov 1, 2022

Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples

By Sergio A C G

Jul 9, 2021

Excellent course, very concise but complete, if possible a second version would be ideal

By Matias L M

Jan 4, 2024

Insightful, complete, in detail. Recommended

By Pardon C

Jul 16, 2022

Great course

By 谭中意

Sep 19, 2021

cool course

By Ivan O C

Jun 27, 2021

Nice content and complete due that the course show the three main/popular options for MLOPs solutions: AWS, GCP and Azure... I prefer explanations using slides due they are more systematic and when is possible try to avoid some demos in an spontaneous way...

By Sylvain P

Feb 8, 2023

Really enjoyed the whole specialization! The 3rd course on data engineering has some editing and redundancy issues, but otherwise, this very hands-on and to-the-point approach was fantastic. Many thanks.

By Alson Y

Jun 2, 2022

Great course to know practical ideas and concepts.

By dumebi j

Nov 17, 2021


By Perikles R

Jun 20, 2024

The lectures are not easy to follow and reproduce as the platforms and tools have changed since the time of the publication. Also, the lectures have been hastily put together and it shows: Very often it is like a live session (Will it work? Will it not work?) vs a recorded class. The writing on screen is also sloppy - powerpoint would definitely help.