# MLOps
<a name="canvas-mlops"></a>

After building a model in SageMaker Canvas that you feel confident about, you might want to integrate your model with the machine learning operations (MLOps) processes in your organization. MLOps includes common tasks such as deploying a model for use in production or setting up continuous integration and continuous deployment (CI/CD) pipelines.

The following topics describe how you can use features within Canvas to use a Canvas-built model in production.

**Topics**
+ [Register a model version in the SageMaker AI model registry](canvas-register-model.md)
+ [Deploy your models to an endpoint](canvas-deploy-model.md)
+ [View your deployments](canvas-deploy-model-view.md)
+ [Update a deployment configuration](canvas-deploy-model-update.md)
+ [Test your deployment](canvas-deploy-model-test.md)
+ [Invoke your endpoint](canvas-deploy-model-invoke.md)
+ [Delete a model deployment](canvas-deploy-model-delete.md)