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Azure Machine Learning Step 6: Team Environment & Enterprise Governance

In person

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When
Times are shown in the venue time zone (America/New York, UTC−5).
Where
Format
In person
Topics
AI & MLBackendData & AnalyticsDesign & UXDevOps & Infrastructure
Price
Not specified

About the event

The sixth session in the Azure Machine Learning series moves from individual workflows to team-based development and enterprise-scale governance. It covers structuring workspaces, hubs, and registries for collaboration, managing access with Azure RBAC and identities, organizing shared assets, enforcing policies and naming standards, cost management and FinOps, and implementing CI/CD and MLOps workflows. The focus is on reproducibility, auditability, and compliance when operating ML at organizati

Machine-translated

Sources

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