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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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226 - 250 of 542 Reviews for Machine Learning in Production

By Cuong T M

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Jul 17, 2024

Very useful course with best practice for the problem in production environment

By Susan M

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Jul 25, 2021

Have not yet competed labs - course in progress. Request for review premature.

By Gaurav P

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Aug 30, 2021

extremely helpful course, gave a deep insight of data-centric machine learning

By Nikhil K

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Jun 3, 2021

Awesome course. Got to learn a lot of new things related to ML in Production.

By MohammadReza L

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Jun 12, 2022

I like this course, it help me to have vision about ML development process.

By paul b

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Mar 12, 2022

Yet another excellent well structured and informative course from Andrew!!!

By Shawn L

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Dec 14, 2021

Indeed a great course. It changes your way of thinking in Machine Learning.

By Shubham S

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Aug 22, 2021

Learnt a lot new and applicable concepts and practices. Highly recommended.

By Pradeep N

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Mar 17, 2024

Even though intro, it introduces some very practical and advanced concepts

By Bob K

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Aug 17, 2021

Overall, an excellent and well presented introduction to ML in production.

By Abishek K

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Jul 27, 2023

Brilliantly explained with real-life examples. Thank you so much, Andrew!

By María L A S

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Feb 18, 2023

I am very satisfied with my first course of the specialization. Thank you

By Viraj H

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Oct 31, 2021

It is quite good course I learned a lot of basic things from this course.

By Kuber C

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Jul 24, 2024

Good to understand hurdles and tips for moving ML models into production

By Salman K

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May 22, 2024

Andrew is awesome and presents course concepts very well in his examples

By Zoran H

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Jun 25, 2022

It is a nice introduction to MLOps segment general terms and background.

By Ghada S

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Jan 11, 2022

Very insightful course. Many thanks for all the provided efforts over it

By 秀文

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Sep 21, 2022

It provide a lot of tips & information for machine learning lifecycle

By SAQUEEB A

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Apr 20, 2022

Learned some basics of MLOps and terms in this course. Looking forward!

By DAYANANDA K

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Sep 20, 2021

This Course covers all the basic practical aspects about ML Production.

By Juan A

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May 19, 2021

Very Excellent Course. Allows me to seek and dig deep into the ML World

By D B

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Sep 15, 2022

Andrew is awesome. So deeply knowledgable, hands-on and down-to-earth.

By Aymen S

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Jun 7, 2022

The is a very good introduction course for this amazing spezialisation

By andre m

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Jun 14, 2021

Amazing course, theory based on experience. Lessons that no book have.

By Hoang V

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Jun 6, 2021

Once of the best! I learnt a lot of useful insights from this series