Azure Machine Learning Studio Beginner Lab Course – Workspaces, Datasets & Notebooks is a hands-on introductory program designed to help learners understand how to use Microsoft Azure Machine Learning Studio in a practical environment. The course begins with a welcome section that introduces the learning experience and prepares students for guided lab exercises. It then focuses on preparing for labs, ensuring learners understand the setup and requirements needed to work effectively in Azure ML Studio. The course introduces Azure Machine Learning Studio, explaining its role as a cloud-based platform for building and managing machine learning solutions. Learners will then learn how to provision an Azure Machine Learning Studio workspace, which is the main environment where all projects and resources are managed. The course continues with working with workspaces, helping learners organize and manage their machine learning projects efficiently. It also covers datasets and experiments, showing how data is imported, used, and tested to build machine learning models. Finally, the course introduces notebooks, where learners can write and execute Python code for data analysis and model development. This lab-based course is ideal for beginners who want practical experience with Azure Machine Learning. By the end, learners will confidently navigate workspaces, manage datasets, run experiments, and use notebooks for real machine learning tasks.