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

Course Summary

This course builds practical skills for implementing data science and machine learning solutions using Microsoft Fabric. Participants work through the complete end-to-end data science process — exploring and understanding data, preprocessing and transforming datasets, training and tracking machine learning models, and deploying those models to generate predictions — all using native Fabric tools such as Notebooks, Data Wrangler, and MLflow.

Prerequisites:

  • Familiarity with the data science process
  • Working knowledge of Python
  • Familiarity with common open-source machine learning frameworks such as scikit-learn
  • Familiarity with basic data concepts and terminology
Purpose
Implement an end-to-end data science and machine learning solution using Microsoft Fabric
Audience
Data professionals and practitioners who build, evaluate, and deploy machine learning models
Role
AI Engineers | Data Scientists
Skill level
Beginner
Style
Lecture | Hands-on Activities | Labs
Duration
1 day
Related technologies
Microsoft Fabric | Python | Notebooks | Data Wrangler | MLflow | Delta Lake

 

Learning objectives
  • Understand and navigate the data science process within Microsoft Fabric
  • Explore and analyze data using Fabric notebooks
  • Handle missing data, outliers, and data distributions during exploration
  • Preprocess and transform data using Data Wrangler
  • Train machine learning models using open-source frameworks in Fabric notebooks
  • Track model training runs, metrics, and versions using MLflow and Experiments
  • Manage and register machine learning models within a Fabric workspace
  • Prepare datasets and generate batch predictions from a deployed model
  • Save generated predictions to a Delta table for downstream use

What you'll learn:

In this Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric course, you'll learn:

Get Started with Data Science in Microsoft Fabric

  • Understand the data science process
  • Train models with notebooks in Microsoft Fabric
  • Track model training metrics with MLflow and experiments
  • Manage data science artifacts (notebooks, experiments, models) in Fabric
  • Collaborate with other data professionals in a Fabric workspace

Explore Data for Data Science with Notebooks in Microsoft Fabric

  • Work with Fabric notebooks for data exploration
  • Load data into notebooks from sources such as a Lakehouse
  • Understand data distributions and summary statistics
  • Identify and handle missing data and outliers
  • Apply data exploration techniques
  • Visualize data using charts and graphs within notebooks

Preprocess Data with Data Wrangler in Microsoft Fabric

  • Introduce Data Wrangler and its role in the data science workflow
  • Perform data exploration within Data Wrangler
  • Identify preprocessing needs and apply cleaning operations
  • Handle missing values and apply imputation strategies
  • Use one-hot encoding and other techniques to convert categorical data for machine learning

Train and Track Machine Learning Models with MLflow in Microsoft Fabric

  • Train machine learning models with open-source frameworks
  • Train models with notebooks in Microsoft Fabric
  • Track model training metrics with MLflow and experiments
  • Manage and version models in Microsoft Fabric

Generate Batch Predictions Using a Deployed Model in Microsoft Fabric

  • Save a trained model in the Microsoft Fabric workspace
  • Customize model behavior for batch scoring
  • Prepare and preprocess data for prediction
  • Apply the model to a dataset to generate new predictions
  • Save the generated predictions to a Delta table
  • Deploy models for real-time prediction services   

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

real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
fully customized

Tailored Outlines

Once-size-fits-all doesn't apply to training teams. That's where we come in!

Dive in and learn more

When transforming your workforce, it’s important to have expert advice and tailored solutions. We can help. Tell us your unique needs and we'll explore ways to address them.

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