Learner Reviews & Feedback for Machine Learning Foundations for Product Managers by Duke University
About the Course
Top reviews
KV
Jun 24, 2023
Great way to get started and introduced to concepts. Project work ensure it covers all the topics taught in the course. Great way to recap and apply concepts to play.
CK
Nov 6, 2023
Not engaging. I'm sure the instructor is a technical genius however, I would suggest to refine teaching skills. All the courses are suitable for developers not Product Owners
76 - 100 of 219 Reviews for Machine Learning Foundations for Product Managers
By Ajay K
•Sep 1, 2025
Great foundational course for aspiring AI/ML Product Managers. Content depth is perfectly fine; it covers what is expected out of an AI/ML PM.
By RAKESH B
•Jun 21, 2023
project is very helpful. Training gave complete insights about ML and I got what I was looking for. You thanks for the detail explanation.
By Madhu K
•Jul 18, 2023
Highly recommend this course for first timer getting their feet wet with Machine Learning. The project at the end drives home the theory.
By Nathaniel S
•Mar 8, 2025
Good info. Peer-graded project was an excellent exercise but giving grading responsibilities to untrusted individuals is not great.
By Juan P
•Aug 4, 2025
This is a great course. The concepts are explained very clear and the homework/project helps to see how the concept actually work.
By Jean
•Jun 25, 2024
This is a great course to get a basic understanding of the mathematical foundation for machine learning and even neural networks.
By Sofía P V
•Dec 1, 2021
Really a good introduction to Machine Learning, it helps you to boost your interest on the field and create a product from zero!
By John P
•Apr 26, 2022
Great course. Clear, informative, and cited numerous real-world examples to help learners grasp seemingly abstract concepts.
By Witali S
•Dec 22, 2022
Really good foundation to proceed in this topic. All needed information is part of the course. Project is very interesting.
By Artem K
•Sep 28, 2022
Very good course. The only problem for me was that the presenter was reading a script, but trust me, the material is great
By Bridget N
•Oct 19, 2024
I love how the instructor really gave out practical examples during his teaching, and the quizzes too are well structured
By Deleted A
•Oct 3, 2023
Very good structured course to get started, in between questions are helpful to confirm the understanding and learning
By Deepak K
•Oct 16, 2022
The course gave me the confidence to be involved in Machine Learning discussions
The level of detail was just right.
By Krishna U
•Sep 2, 2025
Excellent course, You will definitely learn the biggest difference between AI Projects and regulat software projects
By Urvi M
•Jul 10, 2023
Excellent course with the right pace, coverage and details. Course content is of great quality and is well structured
By Adrian T
•Nov 25, 2025
Goes beyond surface-level tutorials to teach the reasoning behind proper ML methodology and avoiding common pitfall
By Nagesh R
•Apr 15, 2025
A very good course which I would say is beyond the foundation ... quite detailed. And yes, awesome instructor !
By Mohammed A K
•Aug 18, 2025
This is a very good course to understand core concepts of AI and be able to work with ML and Data personnel
By David R
•Feb 19, 2024
This course was a great way to create a solid foundation in AI/ML. Challenging, interesting and useful.
By Walker
•Oct 7, 2023
Loved this class. Its a little more than "foundations", but they made it easy to get into the details.
By Subhasish G
•May 13, 2024
Excellent content, well presented with good opportunity to practice the learning the Graded project.
By Gregory O
•Oct 10, 2025
This course was a good introduction to machine learning for non data scientists and statisticians.
By Nancy
•Jan 18, 2022
Very good courses that clearly and precisely covered the foundation concepts for machine leaning!
By Dhananjay A
•Aug 7, 2023
Great course that gives a great introduction to Machine Learning, a foundational course for AI.
By Kyle S
•Aug 2, 2025
Very clear, concise information that is immediately relevant to PMs working on ML projects.