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
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.

Filter by:

76 - 100 of 186 Reviews for Machine Learning Foundations for Product Managers

By Bridget N

•

Oct 18, 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 15, 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 1, 2025

Excellent course, You will definitely learn the biggest difference between AI Projects and regulat software projects

By Urvi M

•

Jul 9, 2023

Excellent course with the right pace, coverage and details. Course content is of great quality and is well structured

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 18, 2024

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

By Walker

•

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

•

May 12, 2024

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

By Nancy

•

Jan 18, 2022

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

By Dhananjay A

•

Aug 6, 2023

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

By Kyle S

•

Aug 1, 2025

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

By Eva H

•

Jan 3, 2025

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

By Pankaj

•

Mar 3, 2022

Great content, Knowledgeable Instructor, well explained.

Course has been helpful , Thanks!

By Vamsee C

•

Oct 20, 2024

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

By Samat I

•

Oct 4, 2023

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

By Marcela M

•

Jul 2, 2025

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

By Xheni L

•

Jul 21, 2022

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

By Joey M

•

Aug 26, 2025

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

By Bruce W

•

Jul 10, 2023

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

By Plamena M

•

Apr 2, 2025

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

By Hassaan P

•

Aug 7, 2023

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

By Julian B

•

Dec 25, 2023

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

By John W

•

Oct 15, 2024

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