Microsoft Azure MLOps focuses on operationalizing machine learning workflows using cloud-native tools and automation to manage the complete ML lifecycle. It enables organizations to build, deploy, monitor, and continuously improve machine learning models at scale. This training explains core concepts such as CI/CD pipelines for ML, model versioning, experiment tracking, and data pipeline integration. It also covers Azure Machine Learning services, automated deployment, model monitoring, and governance practices. You will learn how enterprises use Azure MLOps to improve collaboration between data science and engineering teams while ensuring reliability and scalability. The course also highlights best practices for building secure, production-ready, and automated ML systems in the cloud.
Showing the single result
