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

4.8
stars
3,076 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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476 - 500 of 542 Reviews for Machine Learning in Production

By Lukas O

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Jul 22, 2021

The methods are generally helpful. I would have liked more overview of available paid and open source tools, even if no specific recommendations are made.

By Dhruv N

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Jun 5, 2022

Ecellent course. Although very focused on unstructured data and deep learning, so if you are from a structured data background, you might feel left out.

By Simon G

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Jan 22, 2022

Introduction to MLOps of deeplearning.ai, the course is a very good introduction and overview (even though no IT skills are learned at this point)

By Magda K

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Jul 14, 2021

The course was very nice though for a Course that is part of a Specialization Course I found it to be too basic, even for an introduction.

By akshay j

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Aug 29, 2021

The concepts covered were really usefull and informative. But it could have been a chapter in a course rather than course in itself.

By Leonardo d J S

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Oct 23, 2021

It's great course for you learning about the process build model and problem that your model was created for its.

By Reet

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Nov 18, 2021

Too much story. It would be really great to see some codes and practical visual examples on real world issues.

By Pavel S

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Sep 26, 2023

Great course touching on some big topics in ML. I would like to add more labs and their video breakdown.

By Hassan K

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Jun 21, 2021

It's better the course has some coding assignments to comprehend the ideas which is shared by Prof. Ng.

By Nik B B

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Sep 5, 2021

The quizzes are meaningless, often ambiguous and the answers sometimes wrong. The videos are useful.

By Rajat G

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Sep 6, 2021

Some project plan / exercise / case study to be solved would have added more to the experience

By Alexander N

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Apr 19, 2023

Good course, yet I find the content a bit too generic and lacking practical advice on tooling.

By Mark

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Aug 24, 2022

inhaltlich und didaktisch eine sehr gute Einführung. Etwas mehr Praxisanteil wäre hilfreich.

By Naresh P

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Jul 15, 2023

This course is good for understanding the basic process required before developing ML model.

By Filipe G

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Jul 4, 2021

Worked well in shifting the view from modelling into data. Worthwhile for that reason along.

By Justin L

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Jun 7, 2021

So far this course has been pretty great. Nifty Labs with a lot of useful info and methods.

By Davide V

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Jun 24, 2021

Quite basic, but still useful introduction to following courses of the specialization

By NITHIN J

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Oct 11, 2021

Useful course for understanding how ML works in production in an iterative approach.

By Ahmed M A

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Jul 1, 2021

Very comprenshive course summarizes the concept of Data-centric approach in MLOps

By Victor K

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Nov 9, 2024

Very interesting course. Some more practical exercises would have been good.

By Mohammad A S

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Dec 27, 2022

Amazing course, the only problem is the video quality of the last week.

By Myrzakhan N

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Jul 6, 2021

This course was very useful on planning ml model deployment lifecycle!

By Jaret A

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Jul 1, 2021

Very interesting, a lot of new little concepts. I enjoy Andrew's tips.

By Umberto S

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Jul 23, 2021

Really clear explanation about foundamentals of ML in real world

By Dong P

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Dec 27, 2021

Great course for establishing real Machine Learning projects