# Create and deploy a custom model
URL: https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/custom-model-dev/create-custom-model.html

> Create, deploy, and monitor a custom inference model with DataRobot's Python client.

# Create and deploy a custom model

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/27a757bcf3b10374e70d4c406058ef9cafd28524/ecosystem_integration_templates/Custom%20Model%20End-to-End%20With%20Compliance%20Docs/Custom%20Model%20End-to-End%20With%20Compliance%20Docs.ipynb)

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.

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