You need to build machine learning models but want to leverage Microsoft Fabric’s integrated data science environment? Fabric combines data engineering and ML capabilities in a single platform, simplifying the path from data preparation to model deployment. Without practical skills in Fabric’s ML tools, data scientists cannot fully utilize this unified analytics environment.<\/p>\n\n\n\n
This official Microsoft DP-3027 Applied Skills training enables you in 1 day to implement data science and machine learning solutions using Microsoft Fabric. Guided by MCT-certified trainers, you learn to explore data with Spark notebooks, engineer features, train models using scikit-learn and MLflow, evaluate and compare model performance, and generate batch predictions. You practice building complete ML workflows integrated with Fabric’s lakehouse. This hands-on credential validates your data science skills on Microsoft Fabric. Sessions are available in person in Geneva and Lausanne or via virtual classroom.<\/p>\n","protected":false},"featured_media":0,"parent":0,"menu_order":0,"template":"","editeurs":[1488,1490],"domaine":[1256,1253],"class_list":["post-138196","formations","type-formations","status-publish","hentry","editeurs-microsoft","editeurs-microsoft-azure-microsoft","domaine-cloud-computing","domaine-it-pro"],"acf":{"reference":"DP-3027","duree_nombre":1,"duree_unite":"jour","prix_virtuel":850,"prix_presentiel":900,"prix_blended":"","prix_elearning":"","views":400,"niveau":["Interm\u00e9diaire"],"role":"","certifiant":"","pdus":"","lieux":["Gen\u00e8ve","Lausanne"],"formats_dapprentissage":["presentiel","virtuel"],"examen_inclus":"Non certifiant","garanti":[""],"financement":"","description_temptraining":"","description_caf":"","description_title":"Implement a data engineering solution with Azure Databricks Training (DP-3027)","objectifs":"
Microsoft Fabric provides a native data science experience that integrates seamlessly with the broader analytics platform. Using Spark notebooks, MLflow for experiment tracking and direct access to lakehouse data, data scientists can build, train and evaluate models without leaving the Fabric environment. This DP-3027 credential validates your practical ability to implement ML workflows in Fabric, an increasingly valued skill for data professionals in Switzerland.<\/p>\n
This hands-on training focuses on implementing data science solutions in Fabric. You explore data using Spark notebooks and visualization libraries, engineer features for ML models, train models using scikit-learn, track experiments and log metrics with MLflow, evaluate model performance with standard metrics, and generate batch predictions at scale. All exercises use real datasets on Fabric environments with MCT-certified trainer guidance.<\/p>\n
You should have basic Python programming skills and foundational understanding of machine learning concepts. Familiarity with Spark notebooks is helpful but not required.<\/p>\n
DP-3027 is a Microsoft Applied Skills credential, validating your practical data science implementation skills through a scenario-based assessment.<\/p>\n
DP-604 and DP-3027 cover similar ML topics within Fabric but may differ in their assessment scenarios and specific focus areas. Both validate practical data science skills on the Fabric platform. Check the latest Microsoft documentation for current differences.<\/p>","inclus_dans_ce_cours_virtuel":"