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Learner Reviews & Feedback for Managing Machine Learning Projects by Duke University

4.8
stars
334 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

SE

Sep 30, 2025

Very informative and the instructor does an excellent job in sharing ML process and techniques in a way that non-technical students can understand it.

LR

Jun 29, 2023

I appreciate the use cases that were shared throughout the course. It helped tremendously.

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76 - 89 of 89 Reviews for Managing Machine Learning Projects

By Ravi G

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Sep 4, 2023

The peer rating for the final project is interesting, if someone who does not get what is being asked for the final project is going to rate my final project. Saw some interesting examples.

By Aditya A

•

Dec 30, 2024

I found this course more useful than the first course in the specialization - it followed a better structure and spent the right amount of time in various aspects of managing the course.

By Swapnil D

•

Aug 19, 2025

Can be more hands on .. . like take a problem and work it out alonside. Most Product managers never move beyond linear regression models. So, that will be helpful.

By RENE J E

•

Mar 28, 2024

The course provides valuable tools for managing projects in this field. I am confident that I will use these methodologies in future projects.

By Nimesh K

•

Oct 29, 2025

Well structured content. Although GenAI part completely missing from the course.

By Eslam E

•

Apr 4, 2024

It is useful, practical and has helped me complete many tasks

By Vaibhav V

•

Jan 15, 2026

amazing course

By ABDOULAYE K B

•

Nov 4, 2024

TRES BIEN

By SEIKH S M

•

Apr 26, 2025

Good

By RAJA K N

•

Apr 19, 2025

Good

By Arabinda p

•

Feb 22, 2026

...

By bimalendu b

•

Mar 27, 2025

Ok

By Subash C S

•

May 22, 2025

Very nice

By 21PCT09 M

•

Sep 29, 2025

Nice