Azure Security and Compliance for MLOps focuses on securing machine learning workflows deployed on cloud infrastructure while ensuring regulatory compliance. It enables organizations to protect data, models, and pipelines across the entire ML lifecycle. This training explains core concepts such as identity and access management, encryption, key vaults, and secure data storage. It also covers threat protection, network security, monitoring, and governance policies within MLOps environments. You will learn how enterprises use Azure security services to safeguard ML workloads, ensure compliance standards, and reduce risks in production systems. The course also highlights best practices for building secure, compliant, and enterprise-ready MLOps solutions.
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