Azure AI Fundamentals: Working with Azure Machine Learning Studio

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Azure Machine Learning Studio can be used to build machine learning pipelines and manage, normalize, and transform data for use in regression, classification, and clustering models. In this course, you will work with Azure Machine Learning Studio, beginning with ingesting data from Azure storage and Azure Blob storage, labeling data in Azure Machine Learning Studio, running and testing scripts, and creating an automated model. Then you will discover how to run an automated experiment, select the best model, deploy a model as a predictive service, and test a predictive service. Finally, you will explore how to manage compute resources and data stores, manage datasets and experiments, pipelines and models, and endpoints. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.