Azure Machine Learning 101 is a practical introductory course designed for beginners who want to understand how machine learning works inside the Microsoft Azure ecosystem. The course provides a clear overview of Azure Machine Learning Studio and explains how to build, train, deploy, and manage machine learning models using both UI-based and automated tools.

Learners start with the fundamentals of Azure Machine Learning, gaining familiarity with the workspace, pipelines, and core services. The course then introduces Automated Machine Learning (AutoML), showing how models can be trained efficiently without extensive coding. It also explains the four types of compute in Azure ML and how to choose the right compute option for training, experimentation, or deployment.

In addition, the course covers best practices for deploying machine learning models as web services and demonstrates how to consume these models inside tools like Power BI. Data handling is also addressed through an introduction to datastores and datasets using the Azure ML UI.

This course is ideal for data analysts, beginners in machine learning, and professionals who want to leverage Azure ML for real-world projects without deep prior experience.