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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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126 - 150 of 542 Reviews for Machine Learning in Production

By Yutao W

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Apr 5, 2024

A comprehensive yet easy-to-follow guide on scoping an AI project and deploying it to production by iterating through the steps of the AI-SDLC!

By Marc S D M

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Dec 30, 2022

As every Andrew Ng's course this one is awesome: all concepts are clearly presented and illustrated. Thanks a lot for sharing your experience.

By Daniel A

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Dec 28, 2022

I found the concepts learned from this course very valuable as one begins and iterates through a machine learning operationalization project.

By Kin L K L

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Jan 1, 2022

An excellent high level overview of the lifecycle of machine learning model development and deployment with a focus on business applications.

By Tyler G

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Jun 11, 2021

Andrew's insights are gold. He explains with clarity and has the foresight to disseminate the knowledge the community needs when we need it.

By Tim T

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Mar 16, 2023

Excellent Course! Everyone was right about Andrew! Its the way he breaks everything down! This was just the beginning course! Lets continue!

By Himanshu S

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Jan 1, 2023

It is very nice and it is also beginner friendly. Hope you find what you are looking for. This course helped me a lot in improving my skill.

By Fernanda P G

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Oct 2, 2021

Este curso pode abrir minha mente sobre várias possibilidades em IA, estou ansiosa para o próximo. Obrigada pela oportunidade de aprender.

By naveen r

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Dec 3, 2022

Excellent introductory course helped a lot with my current project with deciding on the right metrics for error and performance analysis

By KIPNGENO K

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Jul 23, 2022

This is the best introduction to MLOps that I could find. Thank you Andrew for making these concepts as simple as possible to understand.

By Alessio M

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Mar 13, 2023

Amazing course! Andrew explains everything in a super clear way, showing a lot of concrete examples. It's just easy to learn with him.

By Segun U

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Nov 8, 2024

This is a wonderful content to behold and it has really shaped my understanding of MLOps, and its application to real-world problems.

By Pegasus金鼎

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Jun 6, 2023

Adding practical courses on the basis of the existing ML, the lecturer has very rich work experience and has benefited a lot.

~Albert

By Athos M M

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Jun 26, 2022

It offers a good overview and also the possibility of completing the course in an easy way or working on more complicated exercises.

By Patrick M

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Jul 7, 2022

Excellent intro to ML in production. Andrew Ng gives very clear and practical advice around best practices across the ML lifecycle.

By Adarsh W

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Sep 16, 2021

Excellent course to learn about data-centric approach in Machine Learning. All the ungraded labs were also informative and useful.

By Sunny

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Aug 2, 2024

Easy to follow & to the point. As a SWE in industry I've seen many practical points being raised in this course. Would recommend!

By Manas M

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Jul 10, 2021

As always, another great course taught by Prof. Andrew. Thank you coursera/deeplearning.ai team for offering such a great course.

By Dennis M

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Aug 7, 2022

Andrew does a great job of explaining Introduction to Machine Learning in Production. The examples really augment the lectures.

By mahsut d

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Sep 30, 2021

This is an axcellent introductory course in MLOps, and also for anyone who is looking for having advanced skills in AI career.

By Drew W

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Aug 16, 2024

This is so packed with useful tools for both the AI practicianer as well as anyone managing an AI project. Highly recommended.

By Abdullah M

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Mar 19, 2022

Everthing related to mlops introduction was amazing covered and this course also gave me some key insights in the mlops field.

By Wooyong E

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Jun 2, 2021

Immensely useful. This course is densely packed with practical tips and provides a great overview of this nascent discipline!

By Smita S

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Oct 29, 2023

I learned about the basics of the whole deployment lifecycle. The curriculum was very well organised and very well taught.

By المعتز ب ب ي

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Mar 13, 2022

Very nice course. There are many points that are mentioned in this course that took me months to uncover on my own at work.