Name: Managing Machine Learning Projects
Brand: Duke University
Availability: OnlineOnly
Rating: 4.8 (86 reviews)

Back to Managing Machine Learning Projects

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

4.8

stars

328 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

Sep 3, 2023

The peer rating for the final project is interesting, if someone who does not get what is being asked for the final project is going to rate my final project. Saw some interesting examples.

Aug 22, 2025

This was a well structured, helpful overview of the full AI project lifecycle with great best practices. I will refer to these materials again in future!

Filter by:

76 - 86 of 86 Reviews for Managing Machine Learning Projects

By Swapnil D

•

Aug 19, 2025

Can be more hands on .. . like take a problem and work it out alonside. Most Product managers never move beyond linear regression models. So, that will be helpful.