This course provides participants with the knowledge and skills required to build data science and machine learning solutions using Microsoft Fabric. The focus is on understanding how to operationalize AI workloads, integrate machine learning models with data pipelines, and leverage Fabric’s analytics capabilities to deliver AI-powered insights.
Machine learning and AI are essential components of modern data strategies. In this course, you’ll learn how Microsoft Fabric supports the full machine learning lifecycle—from data preparation and model training to deployment and monitoring. Through hands-on labs and real-world examples, you will get to work with data transformation, feature engineering, ML models, and operationalizing AI solutions in an enterprise context. Participants will leave with practical experience that can be applied directly in business analytics and AI initiatives.
Key takeawaysAfter completing this course, participants will be able to:
PrerequisitesRecommended:
Target audienceThis course is intended for:
Participants explore the end-to-end machine learning lifecycle, including data ingestion, preprocessing, model training, and evaluation.
This section covers how to prepare data, clean and transform datasets, and engineer features that improve model performance.
Participants learn how to build, train, and evaluate machine learning models using Fabric’s built-in tools and frameworks.
This section focuses on deploying models into production, including creating scoring endpoints and integrating models with applications or dashboards.
Learn how to connect machine learning models with real-time and batch data pipelines in Fabric to deliver up-to-date predictions and insights.
Participants gain experience in monitoring deployed models, managing retraining workflows, and applying governance best practices.
This section explains how data science and analytics teams can collaborate using Fabric, including version control, reproducibility, and scalable workflows.
This one-day, instructor-led training is recommended as preparation for the assessment Implement a data science and machine learning solution with Microsoft Fabric
Microsoft Applied Skills is a new scenario-based credential that proves your proficiency in skill sets specific to critical business problems, so you can make a bigger impact on your projects, your organization, and your career.
Hva kreves for å delta på dette kurset?
Du bør ha grunnleggende kunnskap om dataanalyse og maskinlæring, samt erfaring med SQL og gjerne Python.
Er dette et praktisk kurs?
Ja. Kurset inneholder hands-on øvelser med dataforberedelse, modelltrening og modellutrulling.
Hvor lenge varer kurset?
Kurset gjennomføres normalt over tre dager som instruktørledet undervisning.
Er kurset knyttet til en sertifisering?
Nei. Dette er ikke direkte knyttet til en sertifisering, men gir ferdigheter som er relevante for AI- og maskinlæringsroller.
Trenger jeg erfaring med Microsoft Fabric fra før?
Nei, det er en fordel, men kurset går gjennom relevante konsepter og verktøy som brukes i Fabric.
Hvilke verktøy jobber jeg med i løpet av kurset?
Du vil jobbe med Fabric-verktøy for dataforberedelse, modellering, distribuering og overvåking av maskinlæringsmodeller.
