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Learner reviews & feedback for Cloud Machine Learning Engineering and MLOps

4.591 reviews

About this 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.

Featured reviews

4.0Reviewed Jun 1, 2022

Great course to know practical ideas and concepts.

5.0Reviewed Oct 31, 2022

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

All reviews

Showing: 18 of 18

Maciej Lulka

2.0

Reviewed 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.

Oleksandr Sapozhnik

3.0

Reviewed 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.

Perikles Rammos

3.0

Reviewed 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.

Yağızhan Arslan Akıncı

5.0

Reviewed 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.

Aaron Dsouza

5.0

Reviewed Nov 1, 2022

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

Sergio Andrés Correcha Guzman

5.0

Reviewed Jul 9, 2021

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

Matias L. Miguez

5.0

Reviewed Jan 4, 2024

Insightful, complete, in detail. Recommended

David Mares

5.0

Reviewed Aug 30, 2025

Absolutamente útil

CHANGHYUN LEE

5.0

Reviewed Mar 28, 2026

Great coruse

Pardon Chawatama

5.0

Reviewed Jul 16, 2022

Great course

谭中意

5.0

Reviewed Sep 19, 2021

cool course

CG - DIAZ SANTOS JONATHAN

5.0

Reviewed Nov 11, 2024

Excelente

GUDI HEMANTH .

5.0

Reviewed Mar 16, 2025

good

Ivan Oscco Cossio

4.0

Reviewed 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...

Sylvain Pronovost

4.0

Reviewed 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.

Alson Yang

4.0

Reviewed Jun 2, 2022

Great course to know practical ideas and concepts.

dumebi jude

4.0

Reviewed Nov 17, 2021

good

Omid Kokabi

3.0

Reviewed Oct 13, 2024

The covered topics are mostly interesting. Though, the course could benefit from a revisit as there are many parts that feel redundant, overall structure of the course feels unclear etc.