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

4.8
stars
3,160 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...
...

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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551 - 553 of 553 Reviews for Machine Learning in Production

By Shahzad H

•

Jul 11, 2023

We need more practical graded exercise lab to hone our technical skills, the labs in most cases are easy and not job specific

By S. H

•

Aug 19, 2024

Coursera refuses to issue the specialisation certificate even though I spent over 300 euros and completed all courses. If I was told this beforehand, I would not spend anything on the course. The customer support team has not been helpful.

By Youssef A

•

Dec 10, 2022

too much theory, the course could include some lab practices and be more fun and memorable