Chevron Left
返回到 Machine Learning in Production

学生对 DeepLearning.AI 提供的 Machine Learning in Production 的评价和反馈

4.8
3,352 个评分

课程概述

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...

热门审阅

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

PR

May 24, 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

筛选依据:

551 - Machine Learning in Production 的 575 个评论(共 580 个)

创建者 Mayank A

Jul 19, 2021

build foundations for MLOPs

创建者 Arman S

Apr 20, 2022

Good foundational course

创建者 yeison d

Sep 13, 2021

Amazing intro course

创建者 N N M M

Aug 3, 2025

Very helpful course

创建者 Javier P O

Apr 8, 2022

Great introduction!

创建者 davecote

Jan 18, 2022

light but usefull

创建者 shushanta p

Aug 1, 2021

Excellent course

创建者 Ernesto A

Jul 7, 2021

Ernesto Anaya

创建者 Pham N G

Mar 30, 2025

...

创建者 Rukshar A

Dec 12, 2022

It teaches a lot about the basics of ML in industrial production. I find there is a lack of lab work and real-world examples. The provided lab works do not go in-depth teaching the concepts discussed in the course. They seemed superficial. More graded quizzes are needed to test the pupils and make the courses more interactive.

创建者 Володимир Г

Dec 8, 2025

The instructor is nice and explains things well. But There’s not much information. I didn’t complete two of the labs (I postponed them), but the course was still marked as completed. This same data-handling content is available in the Amazon courses, but in a much more extensive form.

创建者 Kamal

Nov 3, 2022

The content of the course is really good and gives a great brief about MLOps. However, there are very few lab exercises and all of them are ungraded. Moreover, all the lab exercises are in Jupyter Notebook. This is still a good introductory course to MLOps

创建者 Diego L

Jun 9, 2021

It is really a nice conversation with Andrew Ng over some problems that you face when you try to put model on production, define projects and manage it. But, the frameworks that he proposes are totally general and this course has technical debts.

创建者 jitao f

Aug 6, 2022

I have worked in AI powered healthcare imaging industry for some years. Most of concept mentioned are our daily routaine. It is good to catch them up with constructed courses but I was expecting more juciy.

创建者 Kenan M

Mar 11, 2022

Consice and Vocational , especial to those working on unstructured data. I enjoyed it. Thanks

创建者 Grischa E

Apr 16, 2025

Prof. Ng is great as always, but the course is too shallow and the assessments too simple.

创建者 Prabhanjan J

May 16, 2023

Weeks 2 and 3 were too much into theory. There wasn't much practice and application.

创建者 Olivia W

Oct 21, 2023

1) too shallow. 2) too many repeating content. Overall I don't feel very helpful

创建者 diego p

Jul 20, 2021

Much more a high level course respect to what i expected

创建者 Kiran R

Sep 25, 2021

very boring and should not be part of specialization

创建者 محمد ا

May 19, 2023

the course was full of videos without practice

创建者 Leandro K d O

Jun 13, 2021

I wish we had more practical exercises

创建者 enrico s

Jan 2, 2025

too high level and really basic

创建者 SRIKANTH M

Sep 7, 2021

its very good experience

创建者 Gal H

May 6, 2024

tensorflow..