{"product_id":"implement-a-data-science-and-machine-learning-solution-for-ai-with-microsoft-fabric-dp-604","title":"Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric (DP-604)","description":"\u003cdiv\u003e\u003cp\u003eThis learning path explores the end-to-end data science process in Microsoft Fabric, from data exploration and preparation to machine learning model training and deployment. Learners gain hands-on experience using notebooks, Data Wrangler, MLflow, and Fabric-native tools to build, track, and operationalize machine learning solutions for AI-driven analytics.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eImplement a Data Science and Machine Learning Solution for AI with Microsoft Fabric (DP-604) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLoad and manage data in a Lakehouse within Microsoft Fabric.\u003c\/li\u003e\n\u003cli\u003eUtilize notebooks for comprehensive data exploration.\u003c\/li\u003e\n\u003cli\u003ePreprocess data using Microsoft Fabric's Data Wrangler for optimized model training.\u003c\/li\u003e\n\u003cli\u003eTrain and manage machine learning models with MLflow, tracking experiments effectively.\u003c\/li\u003e\n\u003cli\u003eGenerate batch predictions to apply AI in practical scenarios.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFamiliarity with basic data concepts and terminology.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eDP-604 Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003e1. Introduction to End-to-End Analytics Using Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eOverview of Microsoft Fabric and unified analytics\u003c\/li\u003e\n\u003cli\u003eEnd-to-end analytics architecture\u003c\/li\u003e\n\u003cli\u003eData teams and collaboration in Fabric\u003c\/li\u003e\n\u003cli\u003eEnabling and using Microsoft Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e2. Get Started with Data Science in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstanding the data science lifecycle\u003c\/li\u003e\n\u003cli\u003eExploring and processing data in Fabric\u003c\/li\u003e\n\u003cli\u003eTraining and scoring models\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Explore data science workflows in Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e3. Explore Data for Data Science with Notebooks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUsing Fabric notebooks for data exploration\u003c\/li\u003e\n\u003cli\u003eLoading and analyzing datasets\u003c\/li\u003e\n\u003cli\u003eUnderstanding data distribution and missing values\u003c\/li\u003e\n\u003cli\u003eApplying advanced exploration techniques\u003c\/li\u003e\n\u003cli\u003eVisualizing data with charts\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Perform data exploration using notebooks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e4. Preprocess Data with Data Wrangler\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstanding Data Wrangler capabilities\u003c\/li\u003e\n\u003cli\u003ePerforming exploratory data analysis\u003c\/li\u003e\n\u003cli\u003eHandling missing and inconsistent data\u003c\/li\u003e\n\u003cli\u003eTransforming features with operators\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Preprocess data for machine learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e5. Train and Track Machine Learning Models with MLflow\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eTraining machine learning models in notebooks\u003c\/li\u003e\n\u003cli\u003eTracking experiments with MLflow\u003c\/li\u003e\n\u003cli\u003eManaging models in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Train and track a machine learning model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e6. Generate Batch Predictions Using Deployed Models\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eCustomizing models for batch scoring\u003c\/li\u003e\n\u003cli\u003ePreparing data for predictions\u003c\/li\u003e\n\u003cli\u003eGenerating and storing predictions in Delta tables\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Generate and save batch predictions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267A95US \/ 2026-07-23T09:00:00 \/ Online","offer_id":47534211006683,"sku":"US-8705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271C25US \/ 2027-01-20T09:00:00 \/ Online","offer_id":48216573739227,"sku":"US-8705-IL","price":716.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/learningtreeinternational-dirinfosec-hhs.myshopify.com\/products\/implement-a-data-science-and-machine-learning-solution-for-ai-with-microsoft-fabric-dp-604","provider":"Learning Tree International","version":"1.0","type":"link"}