Azure Machine Learning, an enterprise-grade AI service for the end-to-end machine learning lifecycle, can help you to accelerate time to value in your workflows, streamline machine learning operations (MLOps), develop with confidence, and design responsibly. Wondering where to begin? Get started with an Azure Machine Learning workspace, where you can collaborate with colleagues to create artifacts and jobs, author pipelines, register data assets and models, and much more. If you’re a beginner, I think the Explore the Azure Machine Learning workspace learning path on Microsoft Learn is a great place to discover what all this means. Additionally, as you #LearnMicrosoftAI, this learning path helps you prepare for Exam DP-100: Designing and Implementing a Data Science Solution on Azure to earn the Microsoft Certified: Azure Data Scientist Associate certification. From exploring Azure Machine Learning workspaces to building, deploying, and managing high-quality models—this learning path is just the beginning!
