Azure Machine Learning 101 – Complete Beginner Series is a structured introduction to Microsoft Azure’s machine learning platform, designed for beginners who want to understand how cloud-based AI systems are built, trained, and deployed. The course begins with Episode One, where learners are introduced to the core concepts of Azure Machine Learning, its environment, and how it supports end-to-end ML workflows. It then progresses into Automated Machine Learning (AutoML), explaining how Azure can automatically build, test, and optimize machine learning models with minimal manual intervention, making it easier for beginners to get started with AI development. The series also covers how to deploy the best-performing model and integrate it into real-world applications such as Power BI, enabling users to consume machine learning predictions through web services and dashboards. Additionally, learners explore the different types of compute in Azure Machine Learning, understanding how cloud resources are used to train and run models efficiently depending on workload needs. This series is ideal for beginners, data science students, and professionals who want to build practical knowledge in cloud-based machine learning. By the end of the course, learners will have a strong understanding of Azure ML workflows, model deployment, and compute management in real production environments.
