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Automatic Training, Testing, and Deployment of AI using CI/CD - Part 2

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Creating an MLOps Kubernetes Cluster on GKE

In this article series, we'll demonstrate how to take use a CI/CD pipeline - a tool usually used by developers and DevOps teams - and demonstrate how to use it to create a complete training, test, and deployment pipeline for AI that meets the requirements of level 2 in the Google MLOps Maturity

Added 12 May 2021
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Jenkins Jobs and Deployments for MLOps on GKE

In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.

Added 12 May 2021
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Setting Up Jenkins to Build CI/CD Pipelines for MLOps

In this article we set up Jenkins CI for this project in order to start building and automating our MLOps pipelines.

Added 13 May 2021
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Chaining MLOps Pipelines with Jenkins Workflows

In the previous article in the series we set up build Jenkins workflows. In this article, we're going to build them.

Added 14 May 2021
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Automating MLOps Deployment to Kubernetes

In this article, we develop a semi-automated deployment-to-production script, which will complete our project.

Added 17 May 2021