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

4.8
stars
3,088 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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151 - 175 of 542 Reviews for Machine Learning in Production

By Darren S

May 23, 2022

Prof. Ng does it again and offers more useful tips and insight to ML production issues. Great content, highly recommended.

By Rui B

Oct 13, 2021

Years of practical experience condensed in this course. Extremely relevant material for Data Scientists / ML Engineers.

By Kiran K K

Dec 5, 2021

I would like to thank Andrew for his very practical insights in the course. I don't think I could have asked for more.

By Mario L d Á M

Aug 19, 2021

Excellent introduction to MLOps by Andrew Ng. Practical and clear. Love the (ungraded) labs, highly recommendable.

By Zheng L

Jan 26, 2024

Good for an introductory module. For the subsequent modules, expect to have more hands-on sections. Thanks Andrew!

By Yusa L

Jun 29, 2021

The material is really close to the real industrial practice. Amazing reference if doing any ML engineering work.

By Mahsa P

Sep 20, 2021

This course is a wonderful overview of different steps of a machine learning project from scoping to deployment.

By Hassan e S

Jun 17, 2024

This course offers rare and valuable tacit knowledge, beautifully structured and presented. Highly recommended!

By HARISH K

Aug 14, 2023

The course has well addressed the need and impact of rolling out MLOps practices to the traditional ML systems.

By DYLAN C

Jan 19, 2022

Very interesting course for actual product implementation of Machine Learning: Andrew NG is the best master!!!

By Javier F V A

May 13, 2023

I liked a lot, in particular the Scoping Optional Chapter and the ethical considerations for a better society.

By david g

Jan 3, 2022

Even as a Data Scientist, I found this very relevant to define & get a clarity on such frameworks & processess

By Olaf S

Sep 18, 2021

The short videos made it easy to work through it fast. In addition the optional-lab tasks were really awesome.

By Mark S

Dec 6, 2022

Excellent course that covers the most important fundamental ideas. Violate these guidelines at your own risk.

By Dao M D

Sep 2, 2021

Great course for people who want to get the idea of putting Machine Learning notebooks' code into production!

By Kacper T

Jun 6, 2021

Clear and concise. The lecturer approaches the subject with objectivity but also with immense passion for it.

By Sushant B

Nov 13, 2021

it was an awesome introduction to an important part of AI/ML that is going to decide the future of the field

By Mahtab S

Oct 11, 2021

This course opened my eyes on how to tackle any AI projects in a business environment. Thanks a lot Andrew!

By Yudhik A

Feb 16, 2024

The course had a decently big horizon and it helped me identify where I want to invest more time learning.

By Matthew Z

Nov 4, 2022

This course should be a must for every Machine Learning Engineer and Applied Scientist! AN ABSOLUTE MUST!!

By Zanuar E R

Jul 26, 2021

Great explanation from this course, now I know how to develop a machine learning problem for productivity.

By Sri V D

Jan 6, 2023

Very good introduction to ML Ops for the Data Scientists, to understand requirements of the real world.

By Ibrahim G

May 21, 2022

This was a really good introduction for systemetic and production level approaches for machine learning.

By James G

May 20, 2022

Another top course by Andrew NG. Provided a great overview of the process of putting ML into production.

By stephane d

Jun 15, 2023

A very great course as usual from Andrew.

It is very important to consider the real world of industries.