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

4.7
stars
760 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.

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101 - 125 of 236 Reviews for Machine Learning Foundations for Product Managers

By Tejaswi S

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Feb 22, 2026

Course is well paced and taught in detail about various techniques and models that are used in machine learning

By Mohammed A K

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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

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Feb 18, 2024

This course was a great way to create a solid foundation in AI/ML. Challenging, interesting and useful.

By Walker

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Oct 6, 2023

Loved this class. Its a little more than "foundations", but they made it easy to get into the details.

By Subhasish G

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May 12, 2024

Excellent content, well presented with good opportunity to practice the learning the Graded project.

By Gregory O

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Oct 9, 2025

This course was a good introduction to machine learning for non data scientists and statisticians.

By Nancy

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Jan 18, 2022

Very good courses that clearly and precisely covered the foundation concepts for machine leaning!

By Dhananjay A

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Aug 6, 2023

Great course that gives a great introduction to Machine Learning, a foundational course for AI.

By Kyle S

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Aug 1, 2025

Very clear, concise information that is immediately relevant to PMs working on ML projects.

By Eva H

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Jan 3, 2025

Very efficient way to understand basics of ML within 2 weeks, nice materials and assessment

By Shweta J

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Feb 3, 2026

Its recommended, enough details to excite you yet not too technical for a product manager

By Pankaj

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Mar 3, 2022

Great content, Knowledgeable Instructor, well explained.

Course has been helpful , Thanks!

By Vamsee C

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Oct 20, 2024

Great depth in fundamentals. Jon Reifschneider, instructed the key points very clearly.

By Samat I

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Oct 4, 2023

It was attractive. I have got a lot information about ML. I strongly recommend everyone

By Marcela M

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Jul 2, 2025

Excelent course, great material, go up to NLP and talks about transformers. Loved it!

By Xheni L

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Jul 21, 2022

This course was quite intense but helped me understand the fundamentals of the ML.

By Joey M

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Aug 26, 2025

Really good course to get the foundations set. Looking forward to the next class.

By Bruce W

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Jul 10, 2023

Great introductory course, can be a little heavy on the math, but not a blocker.

By Nicolas B

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Oct 21, 2025

Provides a strong overview of the key principles and topics in machine learning.

By Plamena M

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Apr 2, 2025

the course was very educational. I enjoyed the content, and I was challenged.

By Hassaan P

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Aug 7, 2023

This course is the best starting point if you want to enter the field of M/L

By Julian B

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Dec 25, 2023

Very well structured and on an appropriate level for beginners in ML and PM

By Andres S S

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Dec 3, 2025

very good course, it gives you very good foundations of how ML models work

By John W

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Oct 14, 2024

More technical than I expected, but really covers a broad range of topics.

By Marjorie L

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Mar 1, 2024

The professor was very knowledgeable of the material, easy to understand,