(tutorial)=
# Machine learning tutorials 

(quick-start-tutorial)=

````{card} Make sure you start with the Quick start tutorial to understand the basics
```{button-link} ./01-mlrun-basics.html
:color: primary
:shadow:
:expand:
:click-parent:
Introduction to MLRun - Use serverless functions to train and deploy models
```
````

<iframe width="560" height="315" src="https://www.youtube.com/embed/xI8KVGLlj7Q" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe><br><br>


```{toctree}
:maxdepth: 1
:hidden:
01-mlrun-basics
02-model-training
03-model-serving
04-pipeline
05-model-monitoring
06-batch-infer
07-add-mlops-to-code
../feature-store/basic-demo
mlflow
```


Each of the following tutorials is a dedicated Jupyter notebook. You can download them by clicking the download icon <img src="../_static/images/icon-download.png">at the top of each page.


- {ref}`model-training-tutorial`
- {ref}`serving-ml-dl-models`
- {ref}`projects-auto-ml-pipe`
- {ref}`realtime-monitor-drift-tutor`
- {ref}`batch-infor-draft-tutor`
- {ref}`add-mlops-to-code`
- {ref}`mlfow-tracker`
- {ref}`basic-demo` 