---
title: AI production (video)
description: Watch a series of videos to learn the essentials required to monitor models, make predictions, and automate model retraining and replacement in production with DataRobot.

---

# AI Production (video) {: #ai-production-video }

Learn the essentials required to automate model retraining and replacement in production with DataRobot. This tutorial series covers the concepts of model lifecycle management and deployment workflows and provides practical walkthroughs for setting up model monitoring and making predictions.

<hr>

## Model lifecycle management {: #model-lifecycle-management }

Model lifecycle management in a mature data science organization is a continuous process of model retraining and model replacement in production. Keeping up with it all is only possible with automation. In this tutorial, you'll learn about model lifecycle management with DataRobot, including an introduction to the Champion/Challenger framework, automated retraining policies, and effective model replacement in production.

<div style="position:relative;padding-bottom:56.25%;">
 <iframe style="width:100%;height:100%;position:absolute;left:0px;top:0px;" title="Model lifecycle management" frameborder="0" width="100%" height="100%"
 allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" src="https://www.youtube.com/embed/2Eor75w6aR8" allowfullscreen></iframe>
</div>
<br>

<hr>

## Deployment workflow options {: #deployment-workflow-options  }

Choice and flexibility in deployments are key strengths of the AI Production platform. This tutorial illustrates five deployment workflows, allowing you to mix and match to create AI Production infrastructure with DataRobot models and custom models in DataRobot environments or cloud environments. You'll discover five alternate choices for deployment workflows and some variations on each of those five, and you'll learn how DataRobot uses the terms _custom_ and _external_ when referring to models or environments that are not native to DataRobot.

<div style="position:relative;padding-bottom:56.25%;">
 <iframe style="width:100%;height:100%;position:absolute;left:0px;top:0px;" title="Deployment workflow options" frameborder="0" width="100%" height="100%"
 allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" src="https://www.youtube.com/embed/O6u_aRQikwA" allowfullscreen></iframe>
</div>
<br>

<hr>

## Production model monitoring {: #production-model-monitoring }

Monitor production models for operational health, data drift, accuracy, fairness, or the custom business metrics you define. Learn how to configure model monitoring and access deployment reports. In this tutorial, you'll learn about the different model monitoring capabilities, where to configure settings, and how to download reports.

<div style="position:relative;padding-bottom:56.25%;">
 <iframe style="width:100%;height:100%;position:absolute;left:0px;top:0px;" title="Production model monitoring" frameborder="0" width="100%" height="100%"
 allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" src="https://www.youtube.com/embed/aBg-gAvPCag" allowfullscreen></iframe>
</div>
<br>

<hr>

## Make predictions {: #make-predictions }

There are many options for making predictions from deployed models. This tutorial illustrates the flexibility and interoperability of DataRobot predictions by looking at five specific examples. In this tutorial, the selected examples introduce the options for real-time and batch scoring with DataRobot, alongside the options for integrating with other systems. In addition, this tutorial presents the tools and options available for you to interact with your model's REST API.

<div style="position:relative;padding-bottom:56.25%;">
 <iframe style="width:100%;height:100%;position:absolute;left:0px;top:0px;" title="Make predictions" frameborder="0" width="100%" height="100%"
 allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" src="https://www.youtube.com/embed/i1rAKN4DtxM" allowfullscreen></iframe>
</div>
<br>

## Read more {: #read-more }

* [Lifecycle management](manage-mlops/index){ target=_blank }
* [Prediction types](predictions/index){ target=_blank }
