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Learner Reviews & Feedback for Introduction to Machine Learning in Production by DeepLearning.AI

4.8
stars
2,792 ratings

About the Course

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application. Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills. Week 1: Overview of the ML Lifecycle and Deployment Week 2: Selecting and Training a Model Week 3: Data Definition and Baseline...

Top reviews

RG

Jun 4, 2021

really a great course. It'll really change your way of thinking ML in production use and will help you better understand how can you leverage the power of ML in a way that I'll really create a value

DT

Aug 14, 2021

Excellent course, as always. Very well explain for both Data Sicientist, Software engineer and Manager (with some basics undertsanding of ML). One of these courses that Data Sientist should follow.

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251 - 275 of 499 Reviews for Introduction to Machine Learning in Production

By Bonginhlanhla M

Sep 1, 2023

The course was great and it offers a lot of useful insights

By Sean M

Jan 2, 2023

Very useful and relevant for project managing an AI project

By Lộc Đ

Aug 2, 2021

It's time to say thank you for this course and Mr Andrew Ng

By Cameron D K

May 31, 2021

Very good course. Full of knowledgeable advice from a pro.

By Kevin D

Sep 19, 2021

Really well-structured videos that are easy to understand.

By Paweł K

Sep 13, 2021

Again, great material and a lot food for thought! Thanks !

By DingYi

May 15, 2022

many real-world experience that helps ML in applications.

By Sagar D

May 1, 2022

found insightful. A lot of practicle aspects been shared.

By Walt H

Aug 26, 2021

Very straight to the point with fun and insightful labs!

By Francois F

Oct 14, 2023

As always, Dr. Andrew Ng. delivers courses very clearly.

By TRAN N T

Nov 11, 2022

Great introduction to ML projects aimed for Production.

By Trung P L

Jul 21, 2022

Very useful course, special thanks to teacher Andrew NG

By Biju K

Jul 23, 2021

One can gain a lot of benefit from Andrew's experience.

By Nikunj

May 21, 2021

Awesome Course. Will surely help me in the near Future.

By prajwal c n

Sep 29, 2022

Awesome. Mr. Andrew is damn good and so his content.

By Rémi M

Jun 21, 2021

Robust and efficient frameworks to conduct ML projects

By Jitendra S

Jun 3, 2021

Excellent piece of work . Many Thanks to Mr. Andrew Ng

By Alex D

Dec 20, 2021

Great course!

Really useful if you are a ML engineer

By Jitender S V

Jul 19, 2021

Thank you for this awsome course. Learned so much :)

By Ibrahim A G

May 26, 2023

I think it's a great course with an excellent tutor.

By Jefferson J A E

Mar 14, 2023

Invaluable consejos desde la experiencia, muy bueno!

By aanand l

Sep 29, 2022

Andrew Ng at his best !

Crisp and clear introducion

By Arunjith

Sep 21, 2021

A lot of insights in a very short investment of time

By Amit U

Jun 13, 2021

great learning ,thanks Andrew for such deep insight.

By Liang L

Jun 12, 2021

Very useful systematic view of the whole ML process.