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

4.8
stars
122 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 23, 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.

MR

Dec 29, 2022

Very important course for anyone interested in understanding the process involved in managing AI projects. Strongly recommended.

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1 - 25 of 26 Reviews for Managing Machine Learning Projects

By Saanvi J

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Jan 13, 2022

Really nice and detailed course, however, no one is reviewing my work/assignment and my subscription is going to end!

By ELIOT G J

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Apr 4, 2022

Considering that it is a field that continues to develop even if over 80% of machine learning projects fail, I think that the course I learned here is a field that should continue to be taught as a liberal arts for the future of me, my family, and my country. Thanks for making such a wonderfully balanced system.

By Sandra S

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Mar 31, 2022

worth your time if you are a product manager, product owner or project manager that is interested in implementing ML

By Lisa A D

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May 13, 2022

Excellent course! And the professor is a SME in the ML field. Looking forward to the next course.

By Jacquie K

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Nov 6, 2023

This course was very knowledgeable I really enjoyed the class and the study materials. my professor was excellent--very knowledgeable and understandable. The project time was very shot though because it was to be submitted the same day the course ended. I would like to be given a whole week to do the project after the final test of the course so that we can have time to do our project. I requested for more time but I didn't get a feedback. it was stressful to work on a project on Sunday afternoon. I hope in the future time for the project should be an extra week because we cannot start a project before the course is completed. Again this course was awesome and I am equipped with knowledge and skills. I'm excited and looking forward to take the next course Human Factors in AI. Thanks.

By Arun S

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Oct 14, 2022

I really liked this course for introducing some practical aspects of conceptualizing an ML solution and taking it to implementation with system design considerations. Very useful for professionals from varoius backgrounds to understand the level of undertaking to implement something like this in their org.

By Jason K

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Sep 7, 2023

The material is well broken down and organized to be easily digested. The concepts are inline with my expectations and the course was very helpful for learning the basics of machine learning project management.

By Aliki S

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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.

By George K

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Feb 15, 2024

This is a more appropriate course for the intended (AI & ML for Product Managers) audience as opposed to the first one.

By Gregg K G

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Jul 28, 2023

Mostly basic product and project management with the right focus on the twists for ML to keep in mind. Great course.

By Lori R

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Jun 29, 2023

I appreciate the use cases that were shared throughout the course. It helped tremendously.

By Leith S

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May 12, 2023

Good introduction to the AI/ML project management process by a good instructor.

By Christian P

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Aug 9, 2022

A very good course to refresh and improve topics about managing DS projects.

By Jose E D D R

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Sep 10, 2023

Good, but could have been more substantial with more on hands activities

By Lovin A

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Dec 9, 2023

Best course on AI product management so far :) The teacher is spot on.

By Frederick B

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May 7, 2023

Outstanding course given by a top coach. thank you !

By Paul E

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Jan 15, 2024

Great level of detail, very practical!

By Saran G

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Feb 9, 2024

Very relevant and updated content.

By Arunangsu s

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Aug 13, 2023

Excellent . Organized in detail

By Vikram T

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Aug 1, 2023

My ratings are 4.7 stars

By Ali A

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Mar 26, 2022

Very insightful

By Jose A B

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Jun 15, 2022

Excellent!

By 王亦凡

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Nov 15, 2021

Great!

By Shaik H

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Apr 17, 2023

E

By M . k R

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Oct 17, 2023

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