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Learner Reviews & Feedback for Managing Machine Learning Projects by Duke University
230 ratings
About the Course
This second course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the practical aspects of managing machine learning projects. The course walks through the keys steps of a ML project from how to identify good opportunities for ML through data collection, model building, deployment, and monitoring and maintenance of production systems. Participants will learn about the data science process and how to apply the process to organize ML efforts, as well as the key considerations and decisions in designing ML systems.
At the conclusion of this course, you should be able to:
1) Identify opportunities to apply ML to solve problems for users
2) Apply the data science process to organize ML projects
3) Evaluate the key technology decisions to make in ML system design
4) Lead ML projects from ideation through production using best practices
Top reviews
AS
Aug 23, 2023
I really enjoyed this course. I already work in the area of AI but it was very useful to have someone explain key AI terms in a lay way. Highly recommended! The instructor was engaging and clear.
JI
Jul 10, 2024
I like this course; it is very informative. I learned a lot of useful concepts, and I reinforced much of what I knew. I recommend this course, even if is just for fun.
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51 - 52 of 52 Reviews for Managing Machine Learning Projects
By RAJA K N
•Apr 19, 2025
Good
By bimalendu b
•Mar 27, 2025
Ok