(tutorial)= # Machine learning tutorials (quick-start-tutorial)= Each of these MLRun tutorials is a dedicated Jupyter notebook, illustrating different capabilities of MLRun. You can download them by clicking the download icon at the top of each page. ```{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 ``` ````{card} Make sure you start with the Quick start tutorial to understand the basics ```{button-link} ./01-mlrun-basics.ipynb :color: primary :shadow: :expand: :click-parent: Introduction to MLRun - Use serverless functions to train and deploy models ``` ```` - {ref}`quick-start-ml` - {ref}`model-training-tutorial` - {ref}`serving-ml-dl-models` - {ref}`projects-auto-ml-pipe` - {ref}`realtime-monitor-drift-tutor` - {ref}`batch-infer-drift-tutor` - {ref}`add-mlops-to-code` - {ref}`mlflow-tracker` - {ref}`basic-demo`