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DataRobot API resources > AI accelerators > Ecosystem integration templates > Create and deploy a custom model

Create and deploy a custom model

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This accelerator outlines how to create, deploy, and monitor a custom inference model with DataRobot's Python client. You can use the Custom Model Workshop to upload a model artifact to create, test, and deploy custom inference models to DataRobot’s centralized deployment hub.

Updated December 11, 2023