Focusing on data science solutions using Microsoft Fabric machine; from building and deploying predictive models with dedicated built-in tools, to using the Python SDK and other open-source frameworks. In this demo, we will: • Get on board with designing and preparing end-to-end Machine Learning solutions using Microsoft Fabric • Getting and exploring data in Fabric • Working with notebooks using Python and Spark • Explore, train, and tune predictive machine-learning models • Learn how to prepare your models for deployment by creating pipelines and using MLFlow • Deploy, monitor, and retrain your models All materials will be available on GitHub.