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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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101 - 125 of 542 Reviews for Machine Learning in Production

By Furkan T

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Jul 2, 2022

I think this course is great. I started to understand the importance of a data-centric approach. Thank you for everything Prof. Andrew. I can't wait to start the next course.

By Christian L C C

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Jun 14, 2022

A course that extends your vision about machine learning in production and helps you to understand that training a model and getting it with a good accurate is not enough

By Daniel H G

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Aug 31, 2021

Excellent course, you learn about the fundamentals of MLOps. A recommended course if you want to understand the life cycle of a Machine Learning algorithm in production.

By Amritesh K

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Jun 12, 2024

I learnt a lot of things in this course and I highly recommend everyone to take this course as some concepts are very important that can even help you in your practice.

By Stefano D P

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Feb 19, 2022

Concise and straight to the point! It is a good and broad introduction to the topic. I'm confident it has prepared me well for the next course of this specialization.

By sadashiv b

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Oct 24, 2021

This course is fantastic. Exceptionally well understanding of all the fundamental concepts required. Many issues that one would not have considered are well-covered.

By Ratha P

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Aug 3, 2021

A great course that Andrew provided to fill the gap between machine learning/AI in academia (model-centric approach) and industry production (data-centric approach).

By Rodolfo T

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Mar 2, 2022

Great course with wise tips and insightful recommendations. I'll get to provide more value to the machine learning projects I'll have be involved after this course.

By Bradley E

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Jan 18, 2024

Andrew Ng just has this unique blend of business wisdom, practical knowledge, and of course, epic theoretical knowledge. Can't beat the value of learning from him.

By Will G

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Apr 7, 2022

This course helped me land my first job as a data engineer. I am very glad to be a participant and student of Andrew Ng. I can't wait to finish its specialization.

By Nikki A

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Jan 11, 2022

Very well explained, Andrew Ng does a great job as always summarizing complex subjects in easily digestible lectures. A lot of thought went into this course

By Martin T

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Dec 2, 2021

Very useful discussions and views. Great reflections on the value of data in the full ML cycle and the real challenges of putting a ML system in production.

By Oscar C M

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Nov 7, 2022

A very comprehensive and clear course. Good concepts about machine learning applications and how conceiving academic and industry ML pipeline and scope.

By Kattson B

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Aug 14, 2022

It's just amazing!!

It covers a lot of concepts and practices of developing and deploying ML systems.

But we have a plus: tips from Andrew Ng experience.

By Arthur B G

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Apr 3, 2024

The course went way beyond what I was expecting to learn. Andrew gives great advice on the role of a machine learning engineer as part of a business.

By Silviu T M

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Aug 28, 2023

Really nice course, i really enjoyed all DeepLearning courses till now, helped me re-insure myself and also for a better organization of my projects.

By Khanh T

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Jul 12, 2022

Very informative even if with some-experienced data scienctist. I but sill strong recommend to put the lab as compulsory since they're really helpful

By Atul P

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May 17, 2022

Really really worthtable to watch this and you will learn like actual practical knowledge which we used to follow in real world buisness ML problems.

By Anirudh A

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May 3, 2022

This course is quite informative and one of the best. Highly recommend someone who is keen to learn about Machine learning in production environment.

By Sergio M C Z

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Jun 6, 2021

I really enjoyed the course as it did provide very practical insights and recommendations of best practices to implement ML models in the real world.

By Megan M

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May 28, 2021

This course is an excellent overview of the steps required to put ML into production. Andrew's explanations are clear, and his examples are spot on.

By Pranav S

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Feb 24, 2023

With this course though I have been in the field of ML and DL I was able learn many insights and tips to consider while deploying ML in production.

By Mario G R

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Jul 4, 2021

The course was very enjoyable, the readings and classes give you a basic but concise approach of what it means to bring an ML system to production.

By Aswin G

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Jun 10, 2021

Excellent resource material to understand the problems faced when deploying ML models in production and how to handle them at each and every stage,

By Yassine e k

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Jan 6, 2023

As someone with experience working with Machine Learning in Production, this course contains valuable information to which a can strongly relate