Building an MLOps Model API

Sergio Virahonda

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10 May 2021CPOL1 min read

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In this article we build the model API to support the prediction service.

Here we build an API that will load our model from the production registry to enable the prediction service described in the Google MLOps Maturity Model.

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This article is part of the series 'Automatic Training, Testing, and Deployment of AI using CI/CD ◁ Prev View All

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Sergio Virahonda

United States

Sergio Virahonda grew up in Venezuela where obtained a bachelor's degree in Telecommunications Engineering. He moved abroad 4 years ago and since then has been focused on building meaningful data science career. He's currently living in Argentina writing code as a freelance developer.

Building an MLOps Model API

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