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

4.8
stars
3,077 ratings

About the Course

In this Machine Learning in Production course, you will build intuition about designing a production ML system end-to-end: project scoping, data needs, modeling strategies, and deployment patterns and technologies. You will learn strategies for addressing common challenges in production like establishing a model baseline, addressing concept drift, and performing error analysis. You’ll follow a framework 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 experience preparing your projects for deployment as well. Machine learning engineering for production combines the foundational concepts of machine learning with the skills and best practices of modern software development necessary to successfully deploy and maintain ML systems in real-world environments. Week 1: Overview of the ML Lifecycle and Deployment Week 2: Modeling Challenges and Strategies 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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501 - 525 of 542 Reviews for Machine Learning in Production

By dat t

•

Dec 30, 2022

Very overview as well as provide more good documentation

By Baurjan S

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Jul 15, 2022

It's a great introduction course. But excessively easy.

By Christian K

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Jun 22, 2022

The content is great, but it could be condensed a lot!

By Sudip C M

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Mar 25, 2022

Good intro course on machine learning for production

By Maud G

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Jul 9, 2024

Very good class with very concrete examples.

By chirag k

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Jun 13, 2024

It was a good experience and learning.

By Timothy G

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Jul 10, 2021

Learn some additional information Mlop

By changfuli

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Jun 6, 2021

Would be great if comes with more labs

By Janis P

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Jun 25, 2024

More practical work would be prefered

By Bob R

•

Feb 17, 2023

great outline for real-life projects

By Kepchyck

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Mar 22, 2022

It's cool, but it isn't for begginer

By MUHAMMAD I Z

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May 22, 2023

A lot of theory makes it boring :(.

By Simon A

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Jul 27, 2021

Great, but needs more content !

By Maria E

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Jan 26, 2022

use a more hands on approach.

By Payam M

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Feb 23, 2023

Could've been more concise.

By Mayank A

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Jul 19, 2021

build foundations for MLOPs

By Arman S

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Apr 20, 2022

Good foundational course

By yeison d

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Sep 13, 2021

Amazing intro course

By Javier P O

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Apr 8, 2022

Great introduction!

By davecote

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Jan 18, 2022

light but usefull

By shushanta p

•

Aug 1, 2021

Excellent course

By Ernesto A

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Jul 8, 2021

Ernesto Anaya

By Solomon W

•

Sep 1, 2024

Great course with lots of practical tips and advice for Machine Learning Engineer. But, why are you hiding ungraded labs? Can we learn something of off the labs without paying money. If they are ungraded, can you at least make them available for students to try them locally on our computers. This whole effort of teaching is worthless if you always have to make profit. Do you think all of the people who are hungry to learn can pay you? You can charge for certificates, but don't charges for sharing labs.

By Rukshar A

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Dec 12, 2022

It teaches a lot about the basics of ML in industrial production. I find there is a lack of lab work and real-world examples. The provided lab works do not go in-depth teaching the concepts discussed in the course. They seemed superficial. More graded quizzes are needed to test the pupils and make the courses more interactive.

By Kamal

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Nov 3, 2022

The content of the course is really good and gives a great brief about MLOps. However, there are very few lab exercises and all of them are ungraded. Moreover, all the lab exercises are in Jupyter Notebook. This is still a good introductory course to MLOps