This course covers the learning outcomes and goals of designing big data architectures using Azure Machine Learning Studio. Participants will learn how to integrate Azure ML with different data stores, work with data loads, batches, and streams, customize ML processes using R modules, and scale Azure ML web services. The teaching method includes a session by Barbara Fusinska, focusing on practical topics such as Azure capabilities, customizing models, and scaling solutions. The intended audience for this course includes data scientists, machine learning engineers, and professionals working with big data volumes.

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