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

Course 8705 Advantage Plan Course

  • Duration: 1 day
  • Language: English
  • Level: Foundation

This learning path explores the end-to-end data science process in Microsoft Fabric, from data exploration and preparation to machine learning model training and deployment. Learners gain hands-on experience using notebooks, Data Wrangler, MLflow, and Fabric-native tools to build, track, and operationalize machine learning solutions for AI-driven analytics.

DP-604 Course Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

DP-604 Course Information

In this course, you will learn how to:

  • Load and manage data in a Lakehouse within Microsoft Fabric.
  • Utilize notebooks for comprehensive data exploration.
  • Preprocess data using Microsoft Fabric's Data Wrangler for optimized model training.
  • Train and manage machine learning models with MLflow, tracking experiments effectively.
  • Generate batch predictions to apply AI in practical scenarios.

Prerequisites

  • Familiarity with basic data concepts and terminology.

DP-604 Course Outline

1. Introduction to End-to-End Analytics Using Microsoft Fabric

  • Overview of Microsoft Fabric and unified analytics
  • End-to-end analytics architecture
  • Data teams and collaboration in Fabric
  • Enabling and using Microsoft Fabric

2. Get Started with Data Science in Microsoft Fabric

  • Understanding the data science lifecycle
  • Exploring and processing data in Fabric
  • Training and scoring models
  • Hands-on: Explore data science workflows in Fabric

3. Explore Data for Data Science with Notebooks

  • Using Fabric notebooks for data exploration
  • Loading and analyzing datasets
  • Understanding data distribution and missing values
  • Applying advanced exploration techniques
  • Visualizing data with charts
  • Hands-on: Perform data exploration using notebooks

4. Preprocess Data with Data Wrangler

  • Understanding Data Wrangler capabilities
  • Performing exploratory data analysis
  • Handling missing and inconsistent data
  • Transforming features with operators
  • Hands-on: Preprocess data for machine learning

5. Train and Track Machine Learning Models with MLflow

  • Training machine learning models in notebooks
  • Tracking experiments with MLflow
  • Managing models in Microsoft Fabric
  • Hands-on: Train and track a machine learning model

6. Generate Batch Predictions Using Deployed Models

  • Customizing models for batch scoring
  • Preparing data for predictions
  • Generating and storing predictions in Delta tables
  • Hands-on: Generate and save batch predictions

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DP-604 Course FAQs

The course shows how to move from raw data to actionable insights using Microsoft Fabric, helping teams build repeatable, scalable AI solutions that support faster and more informed business decisions.

This course is ideal for data analysts, data scientists, and data engineers who work closely with business stakeholders and need a shared, end-to-end approach to analytics and machine learning in Fabric.

Yes. The focus is on end-to-end workflows—preparing data, training models, tracking results, and deploying predictions—so teams can move beyond pilots and into production-ready AI solutions.