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

kod szkolenia: DP-604 / ENG DL 1d

This training introduces the basics of ingesting, transforming, and analyzing streaming data with Microsoft Fabric.

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2 500,00 PLN 3 075,00 PLN brutto

The training is intended for:

•            Data Scientists

•            Data Engineers

  1. Machine Learning Fundamentals in Microsoft Fabric – You'll learn how to run machine learning experiments in MS Fabric.

    2.           Hands-on learning – Through the labs, you will gain experience that you can easily translate into real tasks at work.

    3.           Managing ML models in MS Fabric – You will gain knowledge of how MLflow works in MS Fabric.

    4.           Understanding Data Wrangler – You'll learn how to prepare data for machine learning.

    5.           Using notebooks – You will learn data mining using machine learning in MS Fabric in practice.

1.Introduction to data science in Microsoft Fabric

    • Understand the data science process
    • Explore and process data with Microsoft Fabric
    • Train and score models with Microsoft Fabric

2.Explore data science with notebooks in Microsoft Fabric

    • Explore notebooks
    • Loading data for exploration
    • Overview of data distribution
    • Check for missing data in notebooks
    • Apply advanced data mining techniques

3.Preprocessing data with Data Wrangler in Microsoft Fabric

    • Overview of Data Wrangler
    • Perform data mining
    • Handling Missing Data
    • Transform data using operators.

4.Train and track machine learning models with MLflow in Microsoft Fabric

    • Learn how to train machine learning models
    • Train and track models with MLflow and experiments
    • Model management in Microsoft Fabric.

5.Generate batch predictions using a deployed model in Microsoft Fabric

    • Customize model behavior for batch scoring
    • Prepare data before generating predictions
    • Generate and save predictions to the delta table.
  • Knowledge of basic concepts and services related to databases and machine learning.

  • Knowledge of the basics of Python and SQL (or at least one of them).

  • Completing the DP-900 Learning Path

Training method:

  • Lecture and product presentation (50%)
  • Exercise (50%)

Major teaching tools include PowerPoint presentations, test-environment demonstrations, hands-on lab environments, and Microsoft Learn 

Training: English

Materials: English