Chevron Left
Back to Managing Machine Learning Projects

Learner Reviews & Feedback for Managing Machine Learning Projects by Duke University

4.8
stars
258 ratings

About the Course

This second course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the practical aspects of managing machine learning projects. The course walks through the keys steps of a ML project from how to identify good opportunities for ML through data collection, model building, deployment, and monitoring and maintenance of production systems. Participants will learn about the data science process and how to apply the process to organize ML efforts, as well as the key considerations and decisions in designing ML systems. At the conclusion of this course, you should be able to: 1) Identify opportunities to apply ML to solve problems for users 2) Apply the data science process to organize ML projects 3) Evaluate the key technology decisions to make in ML system design 4) Lead ML projects from ideation through production using best practices...

Top reviews

AS

Aug 24, 2023

I really enjoyed this course. I already work in the area of AI but it was very useful to have someone explain key AI terms in a lay way. Highly recommended! The instructor was engaging and clear.

JI

Jul 11, 2024

I like this course; it is very informative. I learned a lot of useful concepts, and I reinforced much of what I knew. I recommend this course, even if is just for fun.

Filter by:

26 - 50 of 61 Reviews for Managing Machine Learning Projects

By Montse

•

Sep 30, 2024

Helps you very much to identify good potential AI projects

By Paolo

•

Jun 21, 2024

very useful, even if i'm a project manager on AI projects

By Frederick B

•

May 7, 2023

Outstanding course given by a top coach. thank you !

By Faizulla S

•

Feb 17, 2025

Very well explained from the execution perspective

By Luis R M B

•

Apr 16, 2024

Great Course, keep doing what you are doing!

By MANJAY M

•

Apr 17, 2025

How to identify good opportunity for ML

By GHANTESWAR B

•

Apr 19, 2025

Good to be learn and deeply understand

By Paul E

•

Jan 15, 2024

Great level of detail, very practical!

By Chaitra P

•

May 25, 2024

Well thought course. Thank you Jon

By Saran G

•

Feb 9, 2024

Very relevant and updated content.

By Arunangsu s

•

Aug 14, 2023

Excellent . Organized in detail

By Vikram T

•

Aug 1, 2023

My ratings are 4.7 stars

By Ali A

•

Mar 26, 2022

Very insightful

By Jose A B

•

Jun 15, 2022

Excellent!

By ASIT K R

•

Apr 28, 2025

Great 👍🏻

By JAYDEV D

•

Apr 23, 2025

excellent

By JAIRO R C H

•

Apr 17, 2025

Muy bueno

By Tejo B

•

Dec 17, 2024

Excellent

By 王亦凡

•

Nov 15, 2021

Great!

By KASHINATH G

•

May 13, 2025

good

By Bebi b

•

Apr 25, 2025

nice

By PRIYANKA P P

•

Apr 17, 2025

Good

By RANABEER K B

•

Apr 12, 2025

NICE

By mohammed k

•

Apr 16, 2024

good

By Shaik H

•

Apr 17, 2023

E