Microsoft Azure MLOps with Azure Training focuses on building and operationalizing machine learning workflows using cloud-native tools and automation. It enables organizations to streamline the end-to-end ML lifecycle from data preparation and model training to deployment and monitoring. This training explains core concepts such as CI/CD pipelines for machine learning, model versioning, experiment tracking, and reproducible workflows. It also covers Azure Machine Learning services, containerization, automated deployment, model monitoring, and governance practices. You will learn how enterprises use Azure to improve collaboration between data science and engineering teams while ensuring scalable and reliable ML systems. The course also highlights best practices for building secure, production-ready, and automated machine learning solutions in the cloud.
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