Implement a data science and machine learning solution for AI with Microsoft Fabric is a Microsoft Learn-based course for data scientists and ML engineers who use Microsoft Fabric for end-to-end machine learning workflows. Students learn to use Fabric’s Data Science experience to explore data in notebooks, train and track ML models with MLflow, run experiments, and deploy models for inference within the Fabric ecosystem.
What You Will Learn
- Set up Microsoft Fabric data science workspaces and create Spark-powered notebooks
- Explore and prepare data from OneLake using PySpark and the Fabric Data Wrangler
- Train machine learning models and track experiments using MLflow within Fabric
- Register, version, and deploy ML models using Fabric’s model registry
- Apply AI and ML model outputs to downstream Fabric items including lakehouses and data pipelines
Who Should Attend
Data scientists, ML engineers, and analytics professionals who want to build and deploy machine learning solutions using Microsoft Fabric.
Prerequisites
Python programming experience and familiarity with machine learning fundamentals. Basic Microsoft Fabric knowledge is helpful.
