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

4.7
stars
746 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 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.

NR

Mar 8, 2025

A great course for Project and Product Managers. I found the practice questions very effective to think on practical aspects. The content is comprehensive. Kudos to the Trainer.

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151 - 175 of 231 Reviews for Machine Learning Foundations for Product Managers

By Amit R

•

May 19, 2024

To the point, with the right content

By Oscar H C

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Feb 28, 2023

Very detailed and relevant course.

By Saran G

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Feb 9, 2024

Excellent course. Great lectures.

By Anna T

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Sep 11, 2025

Very informative and good course

By Chen W

•

Nov 11, 2024

Very thorough and learned a lot!

By Peter

•

Jul 11, 2025

Great just started but love it

By Olga O

•

Nov 9, 2023

I would recommend this course.

By Mike B

•

Feb 26, 2024

Well organized. Great course!

By FELLA P

•

Apr 30, 2023

Great and thorough course

By Hemant A

•

Apr 22, 2024

Good foundational course

By B S P

•

Mar 8, 2022

Very practical to apply

By Pranayvardhan S G

•

Jun 10, 2023

Fantastic Experience

By Ali A

•

Mar 26, 2022

Very useful, indeed.

By gowtham s

•

Nov 15, 2025

Good Starting Point

By bane h

•

Jul 22, 2023

Awesome instructor!

By white

•

Jul 28, 2022

Easy to understand!

By Venkat S M

•

Oct 14, 2025

Very good course

By RAJESH M

•

Apr 23, 2024

Excellent course

By Wayne S

•

Sep 24, 2025

Great Learning

By Hina F

•

Dec 26, 2024

WORTH LEARNING

By Milind G

•

Mar 13, 2024

Amazing course

By Kyle L

•

Apr 5, 2023

Great course!

By Gianluca N

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May 6, 2025

very good!

By Sudhir S

•

Feb 19, 2025

Excellent!

By louise

•

Aug 18, 2024

Excellent.