Security and governance features like network isolation (VNET,Private IP) , managed identity, RBAC, Policy etc. are top of mind for almost every enterprise worldwide. But creating a ML solution in a manner that is secure and meets enterprise compliance requirements is challenging. Using Azure Machine Learning see how to build and train ML models with managed and secure cloud hosted workstations (Compute Instances). Finally, deploy models on private AKS clusters to complete ML lifecycle. For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy . Also, if you need any further assistance then you can raise a support ticket and get it addressed.
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