Chevron Left
Back to Machine Learning in Production

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

4.8
stars
3,125 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.

Filter by:

501 - 525 of 547 Reviews for Machine Learning in Production

By Mohammad A S

•

Dec 27, 2022

Amazing course, the only problem is the video quality of the last week.

By Myrzakhan N

•

Jul 6, 2021

This course was very useful on planning ml model deployment lifecycle!

By Jaret A

•

Jul 1, 2021

Very interesting, a lot of new little concepts. I enjoy Andrew's tips.

By Umberto S

•

Jul 23, 2021

Really clear explanation about foundamentals of ML in real world

By Dong P

•

Dec 27, 2021

Great course for establishing real Machine Learning projects

By daokhanh

•

Dec 30, 2022

Very overview as well as provide more good documentation

By Baurjan S

•

Jul 15, 2022

It's a great introduction course. But excessively easy.

By Christian K

•

Jun 22, 2022

The content is great, but it could be condensed a lot!

By Sudip C M

•

Mar 25, 2022

Good intro course on machine learning for production

By Maud G

•

Jul 9, 2024

Very good class with very concrete examples.

By chirag k

•

Jun 13, 2024

It was a good experience and learning.

By Timothy G

•

Jul 10, 2021

Learn some additional information Mlop

By changfuli

•

Jun 6, 2021

Would be great if comes with more labs

By Janis P

•

Jun 25, 2024

More practical work would be prefered

By Bob R

•

Feb 17, 2023

great outline for real-life projects

By Kepchyck

•

Mar 22, 2022

It's cool, but it isn't for begginer

By MUHAMMAD I Z

•

May 22, 2023

A lot of theory makes it boring :(.

By Simon A

•

Jul 27, 2021

Great, but needs more content !

By Maria E

•

Jan 26, 2022

use a more hands on approach.

By Payam M

•

Feb 23, 2023

Could've been more concise.

By Mayank A

•

Jul 19, 2021

build foundations for MLOPs

By Arman S

•

Apr 20, 2022

Good foundational course

By yeison d

•

Sep 13, 2021

Amazing intro course

By Javier P O

•

Apr 8, 2022

Great introduction!

By davecote

•

Jan 18, 2022

light but usefull