DP-604: Implement a Data Science Machine Learning Solution for AI with Microsoft Fabric (Live Online)

This course is designed to equip learners with the skills to implement data science and machine learning solutions using Microsoft Fabric. Participants will gain hands-on experience managing data, notebooks, experiments, and models, enabling them to seamlessly integrate data from across their organization and collaborate effectively with other data professionals. By the end of the course, attendees will be proficient in data exploration, preprocessing, model training, and generating predictions, all within the robust Microsoft Fabric environment.Throughout the course, learners will delve into the data science process, explore datasets using notebooks, preprocess data with Data Wrangler, and utilize MLflow for model management. This comprehensive training ensures that participants can confidently build and deploy machine learning models to generate actionable insights, enhancing their data science capabilities.Audience ProfileThis course is ideal for data scientists, data analysts, and machine learning engineers who are looking to enhance their skills in implementing data science solutions using Microsoft Fabric. It is also suitable for professionals responsible for managing and integrating data within their organizations, seeking to leverage advanced data science tools and techniques.PrerequisitesYou should be familiar with basic data concepts and terminology.Course OutlineModule 1: Get started with data science in Microsoft FabricUnderstand the data science processExplore and process data with Microsoft FabricTrain and score models with Microsoft FabricExercise - Explore data science in Microsoft FabricModule 2: Explore data for data science with notebooks in Microsoft FabricExplore notebooksLoad data for explorationUnderstand data distributionCheck for missing data in notebooksApply advanced data exploration techniquesVisualize charts in notebooksExercise: Use notebook for data exploration in Microsoft FabricModule 3: Preprocess data with Data Wrangler in Microsoft FabricUnderstand Data WranglerPerform data explorationHandle missing dataTransform data with operatorsExercise: Preprocess data with Data Wrangler in Microsoft FabricModule 4: Train and track machine learning models with MLflow in Microsoft FabricUnderstand how to train machine learning modelsTrain and track models with MLflow and experimentsManage models in Microsoft FabricExercise - Train and track a model in Microsoft FabricModule 5: Generate batch predictions using a deployed model in Microsoft FabricCustomize the model's behavior for batch scoringPrepare data before generating predictionsGenerate and save predictions to a Delta tableExercise - Generate and save batch predictions