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

4.8
stars
3,085 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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76 - 100 of 542 Reviews for Machine Learning in Production

By Taku F

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Jun 6, 2021

The course was fairly compact and you would be able to finish each week lesson every day if you eager to do so. It was fun and educational. I loved the surprise in the last question of the optional quiz in week 3.

By Motilal R S

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Jun 13, 2021

Great course explaining concepts on ML lifecycle and deployment, especially touching topics like concept and model drift, monitoring models, error analysis, experiment tracking, pipeline and lineage. I loved it.

By ChenChang S

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Jun 23, 2021

This is a great introduction for how the mature machine learning product could be morph into mature products with multiple challenges. It helps me a lot for understanding how future AI industry looks like !

By Daniel Y

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Dec 17, 2021

This course would be very useful if you are ML-engineers, data scientists. However, this course does not teach you how to code. To code, you need to take Deep Learning specialization or some other courses.

By Xiaonan S

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Sep 23, 2021

Very practical materials and application-focused methodology! A lot of rule-of-thumb gathered from ML pipeline experiences. Clear definition on acronyms and mainly easy-to-follow non-technical guidances.

By Mohammed S

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Jan 31, 2024

I think you should never start applying for any ML jobs until you take this! a lot of things that I've been doing - were that based only on my intuition - are now so clear and systematic! Thanks Andrew!

By Hector B

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Jun 11, 2021

Very valuable course for those who already have some knowledge on machine learning or AI applications. Very close to what systems engineering processes recommend, as when seeking ISO15288 compliance.

By cattaneo

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Nov 7, 2022

Excellent course. Happy to reconnect with Andrew after a few years to continue my ML journey.

Full of useful tips & tricks, but also deep thoughts on how the ML community should evolve its practices.

By Dr. F T

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Aug 15, 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.

By rahul g

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Jun 5, 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

By Nilay

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Jul 12, 2021

Introduces you to the basics of MLOps in a well paced mannar. Would request to add more examples of structured data sets, as many companies usually are dealing with the related problems.

By Somaye K

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Jan 8, 2023

I really enjoy participating in a great class like Andrew's class. It's full of useful and applicable points that I encounter during a real prj.

Thanks for sharing this asset with us :))

By UGENTERAAN A L M

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Jun 5, 2021

The content of this course has been especially useful for me. I wish there were more emphasis on the tools recommendation as well, but the theoretical knowledge was just fine. Thank you!

By dongkyoung c

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May 21, 2021

Practical and well-structured advices throughout the lifecycle of ML. Examples from real world problems & experiences make the advices more tangible and helps to reflect on own problems.

By Gent S

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May 26, 2021

Andew Ng is truly a world leader in the field, the way he approaches the subject and the explanations he gives are truly unparalleled. It always a pleasure taking a course he instructs.

By Andrei N

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Jun 12, 2022

Good intro on key concept in MLOps. Would recommend it to anyone who is stepping into this field as well as for ML Hobbists to understand the main challenges of a ML production system

By Alejandro M R

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May 19, 2021

This is a great course to learn many practical procedures and techniques, to apply ML algorithms to real world problems and do it well, by avoiding common mistakes and deliver value.

By Aaryan A

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Dec 24, 2022

A great start with respect to the MLOps specialisation. If anyone wants to take this single course, then not a lot should be expected because this is only a start to the main MLOps.

By Pratyush M K

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Jan 9, 2023

Excellent course! Andrew Ng is an exceptional human being. His teaching skill are impeccable and you as a student actually are interested in what he's telling you and learn more.

By Di W

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Feb 13, 2022

Wonderful and practical MLOps introductory Materials. Very systematic and useful! Always appreciate Dr. Ng uses the most easy to understand language to explain difficult problems

By Ilce M

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Jun 20, 2021

I would recommend this course to anyone who has to implement models in production. It is an introductory course but it does have a few key concepts that are good to keep in mind.

By Muhammad I K

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Apr 17, 2022

An excellent start for becoming a Machine Learning Engineer where one learns about the complete lifecycle of a machine learning project from scoping to deployment to monitoring.

By Edi W

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Nov 15, 2024

I learned many new perspective on how I can build my machine learning product and some pitfalls that could happen. It gives me fundamental on how do I design my product better.

By Pawel R

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May 25, 2021

This course helped me to organize my knowledge, and showed the questions that I should regullarly ask to either technical, or business teams to create valuable AI-based product

By Jungwei F

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Jun 13, 2021

The course helped both validate what I knew about the topic and update me about many new trends/tools via high quality references + first hand experences from the instructor.