Practical Use Cases with Azure Machine Learning

Learn how to apply ML models in real-world business scenarios using Azure ML. This course will teach you to prototype with AutoML and Designer, build end-to-end workflows, and operationalize models through batch inference pipelines.
Many ML professionals know how to build models, but applying those models to deliver business outcomes is a different challenge. In this course, Practical Use Cases with Azure Machine Learning, you'll learn to implement real-world ML workflows using Azure ML Studio and Designer tools. First, you'll explore how to choose the right ML techniques, classification, regression, or clustering for various enterprise use cases, and prototype quickly using AutoML and Designer. Next, you'll construct complete end-to-end ML pipelines and evaluate their effectiveness using real outputs and metrics. Finally, you'll learn how to operationalize your solutions through batch inference, configure jobs, and deliver results in usable formats. When you're finished with this course, you'll have the skills and knowledge of Azure Machine Learning needed to design, deploy, and iterate on practical ML solutions.
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