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

4.8
stars
2,792 ratings

About the Course

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process 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 production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills. Week 1: Overview of the ML Lifecycle and Deployment Week 2: Selecting and Training a Model 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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176 - 200 of 499 Reviews for Introduction to Machine Learning in Production

By Edgar M

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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

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Jan 26, 2024

A detailed course which is sufficient to start real deployment of ML in production environment.

By Gang P

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Dec 5, 2023

How Andrew draws any Machine Learning projects might go is just awesome and purely informative.

By Theo G

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Aug 15, 2022

The course content is practical, informative and exciting. I really enjoyed it. Thanks Dr. Ng!

By Aman S

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Jul 8, 2021

Explained in best way helped in understanding the thought process behind setting up ML in prod.

By hadi n

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Feb 14, 2023

This is a great course for those who want to learn about MLOs. Thanks Andrew, thanks Coursera.

By Muhammad K H

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Jul 12, 2022

It was fantastic. A lot was covered which makes me consider it more than just an introduction.

By Reza M

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Aug 31, 2021

This is about the whole picture. What comes around model, or where model is in big picture.

By Chester F

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Mar 2, 2022

Great course for understanding of a complete cycle of model development, highly recommend!

By Erica B

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Nov 28, 2021

Andrew Ng is the mentor I've been searching for! Very grateful for this course, thank you!

By MoChuxian

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May 17, 2021

Learned very useful insights about Machine Learning engineering from Andrew, thanks a lot!

By Pablo S

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Jul 15, 2023

great course to think better on the data side when building and deploying ML applications

By Lúcio R

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Jun 22, 2021

The presented topics were perfect to give a overview the major steps to deploy a ML model

By Arijit J

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Dec 31, 2023

Amazing explanation by Andrew sir. So many conceptual details to discover. Mind blowing.

By Nghĩa P

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Sep 24, 2022

I learn alot from this course. Respect Andrew alot about how he contribute to community

By S. H M

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Jun 5, 2022

It was a very interesting and useful course for me and interesting topics were mentioned

By Karl K

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Apr 19, 2022

Andrew Ng is a tremendous instructor. I felt I learned a lot and in an orderly fashion.

By Deasy I

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Apr 30, 2023

thanks for the instructor. I can understand better about MLOps through this course! :)

By Ivan O C

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Dec 11, 2021

An amanzing and useful introduction to start any ML project in a industrial context...

By Alejandro C

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Jun 4, 2022

All the concepts are explained clearly and the best practices exposed are well useful

By Kanav K

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Feb 26, 2024

basic but good introduction and reminder of key metrics when applying ML practically

By Arian N

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Feb 10, 2022

Invaluable guidance on how to approach production-grade projects. Loved the course!

By Nitin M

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May 30, 2021

Very useful and complex material made easy to understand by an excellent instructor!

By Max K

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Jul 26, 2022

Instructor provide easy-to-understand concepts and shows actual results concretely!