Learner Reviews & Feedback for Machine Learning in Production by DeepLearning.AI
About the Course
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...
Top reviews
RG
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
DT
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.
176 - 200 of 563 Reviews for Machine Learning in Production
By Yudhik A
•Feb 16, 2024
The course had a decently big horizon and it helped me identify where I want to invest more time learning.
By Matthew Z
•Nov 4, 2022
This course should be a must for every Machine Learning Engineer and Applied Scientist! AN ABSOLUTE MUST!!
By Zanuar E R
•Jul 26, 2021
Great explanation from this course, now I know how to develop a machine learning problem for productivity.
By Sri V D
•Jan 6, 2023
Very good introduction to ML Ops for the Data Scientists, to understand requirements of the real world.
By Ibrahim G
•May 21, 2022
This was a really good introduction for systemetic and production level approaches for machine learning.
By James G
•May 20, 2022
Another top course by Andrew NG. Provided a great overview of the process of putting ML into production.
By stephane d
•Jun 15, 2023
A very great course as usual from Andrew.
It is very important to consider the real world of industries.
By Jonah M K
•Jun 30, 2021
Great course on the introduction of ML in production. Well presented and useful background information.
By Marija M
•Jul 12, 2021
Beautiful and inspiring overview of hows and whys in any AI project, with hands-on notebook examples.
By Salem S
•May 29, 2022
As always thank you soo much Andrew NG for Making knowledge about machine learning available for all.
By Jiangchun L
•Jun 30, 2021
Thanks for this great course and everything, Andrew! You are awesome, fantastic, great and wonderful!
By iVan D
•Jul 12, 2023
Introductory, but very comprehensive and super pragmatic, full of practical tips and best practices!
By Sreechowdary T
•Aug 5, 2021
Very informative but mostly therory, let me go throught next course in the sequece to work on handon
By Vladislav G V
•Jul 23, 2021
This is another great course by Andrew Ng: clear explanations, great examples, curious case studies!
By Hussein M
•Jun 17, 2021
It is very valuable and includes insights how to handle data, model data and how to deploy ML models
By Hector G
•Apr 13, 2023
I like the course i wish i was gonna use the certificate to get a job but anyway i learned the most
By John M
•Mar 29, 2023
It was a great learning experience for me. I really loved they way it was structured and delivered.
By vadim m
•May 20, 2021
Succinct but full of meaningful examples, holistic approach to MLOps. Well done, Andrew & the team!
By Rodrigo d s
•Jun 7, 2024
Excelent course! Very rich in content, and in details, but also concise and very well explained.
By Varun v t
•Jan 9, 2023
Excellent course to understand the steps for deploying machine learning projects into production
By Hamad U R Q
•Feb 5, 2022
Excellent course. Very easy to understand and most neglected topics. Perfectly compiled course!
By Edgar M
•Feb 2, 2024
I would have liked to see more emphasis on the deployment part but it was great I learned a lot
By Ram S
•Jan 26, 2024
A detailed course which is sufficient to start real deployment of ML in production environment.
By Gang P
•Dec 5, 2023
How Andrew draws any Machine Learning projects might go is just awesome and purely informative.