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

4.8
stars
2,787 ratings

About the Course

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process 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 production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills. Week 1: Overview of the ML Lifecycle and Deployment Week 2: Selecting and Training a Model 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 499 Reviews for Introduction to Machine Learning in Production

By KIPNGENO K

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

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 Pegasus金鼎

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

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

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

Sep 16, 2021

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

By Manas M

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

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

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 Abdullah M

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

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

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

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.

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 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.