Implement a data science and machine learning solution for AI with Microsoft Fabric DP-604

Course Overview

1 - 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

2 - 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

3 - Preprocess data with Data Wrangler in Microsoft Fabric

• Understand Data Wrangler
• Perform data exploration
• Handle missing data
• Transform data with operators

4 - 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

5 - 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

Prerequisites

You should be familiar with basic data concepts and terminology.