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MLOps Level 1: Continuous Training

In MLOps level 1 the machine learning pipeline is automated. By doing so you achieve continuous training of the machine learning model as well as continuous delivery of the model prediction service.

Marco Susilo
TDS Archive
Published in
5 min readMay 9, 2021

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Photo by Christopher Burns on Unsplash

Recommended Pre-Reading

In order to get the most from this article it is important that you understand the terminology I will be using. To familiarise yourself with the terminology I have outlined the various steps of a machine learning service in great detail in this article: https://towardsdatascience.com/steps-of-a-machine-learning-process-7acc43973385.

Some of the concepts discussed overlaps with DevOps philosophy and others are specific to MLOps. To read more about how these two practices compare and contract please check out my article: https://towardsdatascience.com/mlops-vs-devops-5c9a4d5a60ba

If you are interested to learn more about how this level of MLOps differs from level 0 please check out my article: https://towardsdatascience.com/mlops-level-0-manual-pipelines-7278b9949e59 which is visualised below:

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Marco Susilo
Marco Susilo

Written by Marco Susilo

A Kaggle expert, certified Machine Learning Specialist AWS, passionate about cloud, analytics and technology. Founder of PassionIT (https://www.passionit.tech)