ML Models on Microsoft Azure focuses on building, training, deploying, and managing machine learning models using cloud-based services and tools. It enables organizations to operationalize AI solutions at scale with reliable infrastructure and managed services. This training explains core concepts such as model development workflows, training pipelines, deployment endpoints, and model versioning. It also covers Azure Machine Learning services, automated ML, model monitoring, and performance optimization techniques. You will learn how enterprises deploy ML models on Azure for real-time inference, batch processing, and intelligent applications. The course also highlights best practices for building scalable, secure, and production-ready machine learning solutions in the cloud.
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