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

Outline

• Introduction to end-to-end analytics using Microsoft Fabric
  • Explore end-to-end analytics with Microsoft Fabric
  • Explore data teams and Microsoft Fabric
  • Enable and use Microsoft Fabric
  • Module assessment
• 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
  • Module assessment
• 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
  • Module assessment
• 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
  • Module assessment
• 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
  • Module assessment
• 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
  • Module assessment

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