Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric

Get started with data science in Microsoft Fabric

• Understand the data science process
• Explore and process data with Microsoft Fabric
• Train and score models with Microsoft Fabric
• Exercise - Explore data science in Microsoft Fabric

Explore Data for Data Science with Notebooks in Microsoft Fabric

• Explore notebooks
• Load data for exploration
• Understand data distribution
• Check for missing data in notebooks
• Apply advanced data exploration techniques
• Visualize charts in notebooks
• Exercise: Use notebook for data exploration in Microsoft Fabric

Preprocess Data with Data Wrangler in Microsoft Fabric

• Understand Data Wrangler
• Perform data exploration
• Handle missing data
• Transform data with operators
• Exercise: Preprocess data with Data Wrangler in Microsoft Fabric

Train and Track Machine Learning Models with MLflow in Microsoft Fabric

• Understand how to train machine learning models
• Train and track models with MLflow and experiments
• Manage models in Microsoft Fabric
• Exercise - Train and track a model in Microsoft Fabric

Generate batch predictions using a deployed model in Microsoft Fabric

• Customize the model's behavior for batch scoring
• Prepare data before generating predictions
• Generate and save predictions to a Delta table
• Exercise - Generate and save batch predictions