Custom Vertex AI pipelines for beginners using Docker images[Part 2]

Author(s): Ana Bildea

Originally published on Towards AI.

Machine Learning, MLOPS

This member-only story is on us. Upgrade to access all of Medium.

A step-by-step tutorial on how to build your custom Docker image on Vertex AI

Application containerization. Photo by Tom Fisk from Pexels.

In my previous post, I have discussed the process of how to implement custom pipelines in Vertex AI using Kubeflow components. To make it straightforward we have discussed a common use case called “Predict the wine quality”.

In this post, I will address mostly the creation of docker images. The goal is to explain how to configure your custom docker images from scratch. We will proceed with the steps to… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI