Azure Machine Learning Beginner Course – Setup, Workspace, Compute & Designer is a step-by-step introduction designed for beginners who want to start working with Microsoft Azure Machine Learning. The course begins with signing up for an Azure Student Starter account, helping learners access Azure services easily for learning and experimentation. It then moves into understanding subscriptions and creating a Machine Learning workspace, which is the main environment where all AI and machine learning projects are built and managed. Learners will also explore how to set up a compute instance, which provides the cloud power needed to run experiments, train models, and process data efficiently. A major part of the course focuses on Azure Machine Learning Designer, where users learn how to build machine learning workflows visually without heavy coding. It also introduces jobs and experiments, explaining how models are executed and evaluated in Azure. In addition, learners will work with data preparation techniques such as summarizing data and normalizing data, which are essential for building accurate machine learning models. This course is ideal for beginners who want a practical and visual approach to machine learning in the cloud. By the end, learners will be able to set up Azure ML environments, manage compute resources, and build end-to-end machine learning workflows using Azure tools confidently.