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

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 operationalise 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.
Utilise notebooks for comprehensive data exploration.
Preprocess data using Microsoft Fabric's Data Wrangler for optimised 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

Learning Objectives

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 analysing datasets
Understanding data distribution and missing values
Applying advanced exploration techniques
Visualsing 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

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

Commercial Pricing

£835

1-Day Instructor-Led Training
Microsoft Official Content
After-Course Instructor Coaching Included
Available for Private Team Training

Would you like to take this course as a team?

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Mar 9 1:00 PM - 8:30 PM GMT

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Apr 21 2:00 PM - 9:30 PM BST

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Jul 23 2:00 PM - 9:30 PM BST

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Aug 11 9:00 AM - 4:30 PM BST

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Jan 20 2:00 PM - 9:30 PM GMT

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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.

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

DP-604 Course Delivery Methods

DP-604 Course Information

DP-604 Course Outline

Learning Objectives

Live Instructor £835

DP-604 Course FAQs

How does this course help drive business value from data and AI?

Who should attend if the goal is better collaboration between data and business teams?

Will this course help organisations operationalise AI, not just experiment with it?

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