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How to implement CI/CD for your Vertex AI Machine Learning Pipeline

Automatically deploy and run your machine learning pipeline. A real deep dive, step by step.

Sascha Heyer
Google Cloud - Community
5 min readOct 28, 2021

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In this article, we cover how Vertex AI Pipelines are scheduled and gather a deep understanding of the inner workings. We use that knowledge to implement an automatic deployment for our machine learning pipeline.

At the end of this article, you have a Vertex AI Pipeline that is updated automatically based on changes in the GitHub Repository.

This article covers an interim solution until Google provides a more flexible way of integrating Vertex AI into a CI/CD environment.

Let’s recap

In my previous article, I covered the basic knowledge and a bunch of best practices around the Vertex AI Pipeline. If you’re new to Vertex AI Pipeline I recommend starting with that article and coming back to this one.

There is one concept I want to highlight again, keep that in mind as you go through…

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Google Cloud - Community
Google Cloud - Community

Published in Google Cloud - Community

A collection of technical articles and blogs published or curated by Google Cloud Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.

Sascha Heyer
Sascha Heyer

Written by Sascha Heyer

Hi, I am Sascha, Senior Machine Learning Engineer at @DoiT. Support me by becoming a Medium member 🙏 bit.ly/sascha-support

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