Dive into the data science process and discover how to train machine learning models for artificial intelligence within Microsoft Fabric. This course covers loading data into a Lakehouse, exploring data using notebooks, preprocessing data with Data Wrangler, training models with MLflow, and generating batch predictions with deployed models.

Familiarity with basic data concepts and terminology. Understanding of the Python programming language and machine learning frameworks like scikit-learn is advantageous.

Module 1: Introduction to Data Science in Microsoft Fabric

Module 2: Explore Data for Data Science with Notebooks

Module 3: Preprocess Data with Data Wrangler in Microsoft Fabric

Module 4: Train and Track Machine Learning Models with MLflow

Module 5: Generate Batch Predictions using Deployed Models