Azure Machine Learning focuses on building, training, deploying, and managing machine learning models at scale using Microsoft’s cloud ecosystem. It enables data scientists and developers to create end-to-end ML workflows with automated tools, pipelines, and collaborative environments. This training explains core concepts such as workspace setup, datasets, compute targets, model training, hyperparameter tuning, and MLOps practices. It also covers model deployment, versioning, monitoring, and integration with Azure services for real-time and batch predictions. You will learn how organizations use this platform to operationalize AI solutions for forecasting, classification, and intelligent automation. The course also highlights best practices for building scalable, secure, and production-ready machine learning systems.
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