# DataRobot model in a DataRobot environment
URL: https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-workflows/dr-model-dr-env.html

> How to deploy a DataRobot model in a DataRobot environment.

# Deploy a DataRobot model in a DataRobot environment

DataRobot AutoML models allow you to deploy to a DataRobot-managed prediction environment. This deployment method is the most direct route to making predictions and monitoring, managing, and governing your model in a centralized deployment hub.

To create and deploy an AutoML model on DataRobot, follow the workflow outlined below:

```
graph TB
  A{Deployment method?} --> |Leaderboard|B[Deploy a model from the Leaderboard];
  A --> |Model registry|C[Register a model]
  C --> D[Deploy a model from the Model Registry]
```

## Deploy a model from the Leaderboard

DataRobot AutoML automatically generates models and displays them on the Leaderboard. The [model recommended for deployment](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/model-rec-process.html) appears at the top of the page. You can deploy this (or any other) model directly from the Leaderboard to start making and monitoring predictions. When you create a deployment from a model, DataRobot automatically creates a model package for the deployed model. You can access the model package at any time in the Model Registry.

[Deploy from the Leaderboard](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-methods/deploy-model.html#register-and-deploy-a-model)

## Register a model

If you don't want to deploy immediately from the Leaderboard, you can add a model package to the Model Registry to deploy later.

> [!NOTE] Note
> This method allows you to [share a model package](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/reg-action.html) or [generate compliance documentation](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/reg-compliance.html) before deploying a model.

[Register a model](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/registry/dr-model-reg.html)

## Deploy a model from the Model Registry

After you've added a model to the Model Registry, you can deploy it at any time to start making and monitoring predictions.

[Deploy from the Model Registry](https://docs.datarobot.com/en/docs/classic-ui/mlops/deployment/deploy-methods/deploy-model.html#deploy-a-registered-model)

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