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

This course is designed to build practical skills in implementing data science and machine learning solutions using Microsoft Fabric. The course explores the complete end-to-end data science process,...

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$675 USD
Duration 1 day
Course Code DP-604T00
Available Formats Classroom, Virtual

Upcoming Course Dates

  • Jun 26, 2026 - Jun 26, 2026 (1 day)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 option(s) below
    Live Virtual | 9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
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Overview

Course Description

This course is designed to build practical skills in implementing data science and machine learning solutions using Microsoft Fabric. The course explores the complete end-to-end data science process, from understanding and exploring data to preparing and transforming datasets for analysis. Students will learn how to train, evaluate, and track machine learning models, as well as how to deploy those models and generate predictions using Microsoft Fabric tools and capabilities.

Audience Profile

This course is intended for data professionals and practitioners who regularly work with machine learning models and are responsible for building, evaluating, and deploying data science solutions. Students should already be familiar with the data science process, Python, and common open-source machine learning frameworks such as scikit-learn.

Skills Gained

  • Use Microsoft Fabric to manage data, notebooks, experiments, and models for data science projects.
  • Explore and analyze data using notebooks in Microsoft Fabric to identify patterns and insights.
  • Preprocess and transform data using Data Wrangler in Microsoft Fabric to prepare it for machine learning model training.
  • Train, track, and manage machine learning models using MLflow in Microsoft Fabric to develop AI solutions.
  • Generate and utilize batch predictions from deployed machine learning models in Microsoft Fabric to enrich data and derive insights.

Prerequisites

Familiarity with basic data concepts and terminology.

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Course Details

Course Details

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

Schedule

1 options available

  • Jun 26, 2026 - Jun 26, 2026 (1 day)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 option(s) below
    Live Virtual | 9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote

FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

Course was great and informative. The instructor had a good flow and was very personable.

The class was very vast paced however the teacher was very good at checking in on us while giving us time to complete the labs.

Good course. I appreciate the time the instructor put into teaching this class.

Great oppportunity for me to get training on the software during my work day.

ExitCertified gave a great course on AWS that covered all of the basics in depth with good lab materials.