Learner Reviews & Feedback for Cloud Machine Learning Engineering and MLOps by Duke University
About the Course
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. T...
Top reviews
1 - 16 of 16 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 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.
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 20, 2021
cool course
By CG - D S J
•Nov 11, 2024
Excelente
By GUDI H .
•Mar 16, 2025
good
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 9, 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
good
By Omid K
•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.