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Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.


You should be familiar with basic data concepts and terminology.


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

Additional information


1 day

Guaranteed to run