---
title: Models in production videos
description: Explore DataRobot MLOps to provide a central hub to deploy, monitor, manage, and govern models in production.

---

# Models in production videos {: #models-in-production-videos }

DataRobot MLOps provides a central hub to deploy, monitor, manage, and govern all your models in production. These videos show how to deploy models to the production environment of your choice and continuously monitor the health and accuracy of your models, among other metrics.

See the full library on [DataRobot's YouTube channel](https://www.youtube.com/@DataRobot){ target=_blank }.

Section                                 | Purpose
----------------------------------------|--------------------
[AI production](gs-ai-prod-videos)      | Monitor models, make predictions, and automate model retraining and replacement in production (4 videos).
[Champion/challenger framework](gs-champion-challenger-videos) | Maintain effective models by training challengers to compete with the deployed model, adapting your deployment to constant changes in real-world conditions.
[Custom LLMOps and MLOps monitoring metrics](gs-custom-metrics-videos) | See the process for defining and creating custom LLMOps and MLOps monitoring metrics in DataRobot.
[Repeatable batch scoring](gs-batch-scoring-videos) | Set-up scheduled, repeatable batch scoring jobs with cloud and tech alliance partners.
