Chevron Left
Back to Machine Learning Foundations for Product Managers

Learner Reviews & Feedback for Machine Learning Foundations for Product Managers by Duke University

4.7
stars
705 ratings

About the Course

In this first course of the AI Product Management Specialization offered by Duke University's Pratt School of Engineering, you will build a foundational understanding of what machine learning is, how it works and when and why it is applied. To successfully manage an AI team or product and work collaboratively with data scientists, software engineers, and customers you need to understand the basics of machine learning technology. This course provides a non-coding introduction to machine learning, with focus on the process of developing models, ML model evaluation and interpretation, and the intuition behind common ML and deep learning algorithms. The course will conclude with a hands-on project in which you will have a chance to train and optimize a machine learning model on a simple real-world problem. At the conclusion of this course, you should be able to: 1) Explain how machine learning works and the types of machine learning 2) Describe the challenges of modeling and strategies to overcome them 3) Identify the primary algorithms used for common ML tasks and their use cases 4) Explain deep learning and its strengths and challenges relative to other forms of machine learning 5) Implement best practices in evaluating and interpreting ML models...

Top reviews

KV

Jun 23, 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.

JE

Dec 16, 2023

I thought the course had a good pace and was informative. I should have took advantage of the discussion forums more to ask some questions. Doing the project brought even more questions.

Filter by:

151 - 175 of 219 Reviews for Machine Learning Foundations for Product Managers

By FELLA P

•

Apr 29, 2023

Great and thorough course

By Hemant A

•

Apr 21, 2024

Good foundational course

By B S P

•

Mar 7, 2022

Very practical to apply

By Pranayvardhan S G

•

Jun 10, 2023

Fantastic Experience

By Ali A

•

Mar 25, 2022

Very useful, indeed.

By gowtham s

•

Nov 14, 2025

Good Starting Point

By bane h

•

Jul 21, 2023

Awesome instructor!

By white

•

Jul 27, 2022

Easy to understand!

By Venkat S M

•

Oct 13, 2025

Very good course

By RAJESH M

•

Apr 22, 2024

Excellent course

By Wayne S

•

Sep 23, 2025

Great Learning

By Hina F

•

Dec 26, 2024

WORTH LEARNING

By Milind G

•

Mar 13, 2024

Amazing course

By Kyle L

•

Apr 4, 2023

Great course!

By Gianluca N

•

May 5, 2025

very good!

By Sudhir S

•

Feb 19, 2025

Excellent!

By louise

•

Aug 17, 2024

Excellent.

By Rafael M

•

Aug 24, 2023

Excelent!

By BALARAM A

•

Dec 29, 2025

Exilent

By Gaytri B

•

Jan 24, 2022

Good KT

By Abeed R

•

Feb 22, 2025

good

By Dmitrii P

•

May 3, 2024

Good

By Ivonne N U L

•

Mar 18, 2024

nice

By 孙政光

•

Jul 26, 2025

很好

By Jason H

•

Sep 3, 2025

The course was very informative and I feel that I have a much better understanding of machine learning, and the process of selecting a model, training and testing it. I also have a better understanding of different types of Machine Learning that has opened my eyes to the breadth of what may be possible. The only difficult part of the course was the course project where there are some options on building a small ML model and evaluating it. I didn't feel well prepared to build a model and evaluate it well and got very bogged down with that portion of the course.