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Introduction to Machine Learning in Production に戻る による Introduction to Machine Learning in Production の受講者のレビューおよびフィードバック



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...




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



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.


Introduction to Machine Learning in Production: 101 - 125 / 351 レビュー

by Mahsa P


This course is a wonderful overview of different steps of a machine learning project from scoping to deployment.



V​ery interesting course for actual product implementation of Machine Learning: Andrew NG is the best master!!!

by david g


Even as a Data Scientist, I found this very relevant to define & get a clarity on such frameworks & processess

by Olaf S


The short videos made it easy to work through it fast. In addition the optional-lab tasks were really awesome.

by Dao M D


Great course for people who want to get the idea of putting Machine Learning notebooks' code into production!

by Kacper T


Clear and concise. The lecturer approaches the subject with objectivity but also with immense passion for it.

by Sushant B


it was an awesome introduction to an important part of AI/ML that is going to decide the future of the field

by Mahtab S


This course opened my eyes on how to tackle any AI projects in a business environment. Thanks a lot Andrew!

by Zanuar E R


Great explanation from this course, now I know how to develop a machine learning problem for productivity.

by Ibrahim G


This was a really good introduction for systemetic and production level approaches for machine learning.

by James G


Another top course by Andrew NG. Provided a great overview of the process of putting ML into production.

by Jonah M K


Great course on the introduction of ML in production. Well presented and useful background information.

by Marija M


Beautiful and inspiring overview of hows and whys in any AI project, with hands-on notebook examples.

by Salem S


As always thank you soo much Andrew NG for Making knowledge about machine learning available for all.

by Jiangchun L


Thanks for this great course and everything, Andrew! You are awesome, fantastic, great and wonderful!

by Sreechowdary T


Very informative but mostly therory, let me go throught next course in the sequece to work on handon

by Vladislav G V


This is another great course by Andrew Ng: clear explanations, great examples, curious case studies!

by Hussein M


It is very valuable and includes insights how to handle data, model data and how to deploy ML models

by vadim m


Succinct but full of meaningful examples, holistic approach to MLOps. Well done, Andrew & the team!

by Hamad U R Q


E​xcellent course. Very easy to understand and most neglected topics. Perfectly compiled course!

by Aman S


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

by Muhammad K H


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

by Reza M


T​his is about the whole picture. What comes around model, or where model is in big picture.

by Chester F


G​reat course for understanding of a complete cycle of model development, highly recommend!

by Erica B


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