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

4.7
stars
590 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

LS

Apr 28, 2023

Good introduction to Machine Learning, which developed further with the ML course project. Overall good learning experience and continuing on with the next course in the specialisation.

RR

Jan 7, 2024

As a foundation is pretty good. It can be a bit difficult the part of the algebra and the final project, but they provided instructions on how to do it. Just follow the instructions.

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126 - 150 of 186 Reviews for Machine Learning Foundations for Product Managers

By Saran G

•

Feb 9, 2024

Excellent course. Great lectures.

By Chen W

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Nov 10, 2024

Very thorough and learned a lot!

By Pieter V

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Jul 11, 2025

Great just started but love it

By Olga O

•

Nov 9, 2023

I would recommend this course.

By Mike B

•

Feb 25, 2024

Well organized. Great course!

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 26, 2022

Very useful, indeed.

By bane h

•

Jul 21, 2023

Awesome instructor!

By white

•

Jul 27, 2022

Easy to understand!

By RAJESH M

•

Apr 22, 2024

Excellent course

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 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