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Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric (DP-604)
Course 8705
1 DAY COURSE

Price:
Course Outline

Dive into the data science process and discover how to train machine learning models for artificial intelligence within Microsoft Fabric. This course covers loading data into a Lakehouse, exploring data using notebooks, preprocessing data with Data Wrangler, training models with MLflow, and generating batch predictions with deployed models.

Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric (DP-604) Benefits

  • 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.
    • Understanding of the Python programming language and machine learning frameworks like scikit-learn is advantageous.

DP-604 Course Outline

Introduction to Data Science in Microsoft Fabric

Get acquainted with the data science process within Microsoft Fabric, including managing data, notebooks, experiments, and models.

Explore Data for Data Science with Notebooks

Utilize Microsoft Fabric notebooks for in-depth data exploration, covering loading data, understanding data distribution, handling missing data, and applying advanced exploration techniques.

Preprocess Data with Data Wrangler in Microsoft Fabric

Learn how to preprocess data effectively using Data Wrangler in Microsoft Fabric, including data cleaning, handling missing values, and feature transformation.

Train and Track Machine Learning Models with MLflow

Discover how to train machine learning models in notebooks, track experiments with MLflow, and manage models efficiently within Microsoft Fabric.

Generate Batch Predictions using Deployed Models

Learn to utilize machine learning models deployed in Microsoft Fabric to generate batch predictions, enhancing data enrichment and analysis capabilities.

Course Dates
Attendance Method

How will you be attending the class?

Selecting 'Live Virtual' allows you to attend remotely from work or home. You will receive email communication well before the class starts with detailed instructions on how to validate your equipment and connect to the classroom for a quality learning experience.

Additional Details (optional)

Private Team Training

Interested in this course for your team? Please complete and submit the form below and we will contact you to discuss your needs and budget.