Microsoft Private Public

Implement a data science and machine learning solution for AI with Microsoft Fabric (DP-604T00)

1 day
Microsoft FabricAI

Learn to implement end-to-end data science and machine learning solutions in Microsoft Fabric, including data preparation, MLflow tracking, and batch prediction

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Price per student
$681.10
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Course Overview

Build practical skills for implementing end-to-end data science and machine learning solutions with Microsoft Fabric. Learn to explore, prepare, and transform data; train, evaluate, and track models; deploy models; and generate batch predictions using Microsoft Fabric tools and capabilities.

Course Benefits

  • Understand the end-to-end data science process in Microsoft Fabric.
  • Explore and visualize data with Microsoft Fabric notebooks.
  • Prepare and transform datasets with Data Wrangler.
  • Train, evaluate, track, and manage machine learning models with MLflow.
  • Deploy models and customize their behavior for batch scoring.
  • Generate predictions and save them to a Delta table.

Delivery Methods

Public Class
Live expert-led online training from anywhere. Guaranteed to run .
Private Class
Delivered for your team at your site or online.

Microsoft Certified Partner

Webucator is a Microsoft Certified Partner. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Microsoft Certified Partner

Course Outline

  1. Introduction to end-to-end analytics using Microsoft Fabric
    1. Explore end-to-end analytics with Microsoft Fabric
    2. Explore data teams and Microsoft Fabric
    3. Enable and use Microsoft Fabric
    4. Module assessment
  2. Get started with data science in Microsoft Fabric
    1. Understand the data science process
    2. Explore and process data with Microsoft Fabric
    3. Train and score models with Microsoft Fabric
    4. Module assessment
  3. Explore data for data science with notebooks in Microsoft Fabric
    1. Explore notebooks
    2. Load data for exploration
    3. Understand data distribution
    4. Check for missing data in notebooks
    5. Apply advanced data exploration techniques
    6. Visualize charts in notebooks
    7. Module assessment
  4. Preprocess data with Data Wrangler in Microsoft Fabric
    1. Understand Data Wrangler
    2. Perform data exploration
    3. Handle missing data
    4. Transform data with operators
    5. Module assessment
  5. Train and track machine learning models with MLflow in Microsoft Fabric
    1. Understand how to train machine learning models
    2. Train and track models with MLflow and experiments
    3. Manage models in Microsoft Fabric
    4. Module assessment
  6. Generate batch predictions using a deployed model in Microsoft Fabric
    1. Customize the model's behavior for batch scoring
    2. Prepare data before generating predictions
    3. Generate and save predictions to a Delta table
    4. Module assessment

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

Class Prerequisites

Experience in the following is required for this Microsoft Fabric class:

  • Familiarity with basic data concepts and terminology.
  • Familiarity with the data science process and Python.
  • Familiarity with a common open-source machine learning framework such as scikit-learn.

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