Entra ID: Securing Identities for AI in Azure

As AI adoption grows, securing the identities that power these advanced workloads is paramount. Protecting sensitive AI data and ensuring only authorized access requires specialized identity management strategies. This course will equip you with the foundational knowledge and practical approaches to secure AI workload identities within your Azure environment using Entra ID. You will learn to: * Understand core concepts of identity and access management for AI workloads. * Design secure workload identity architectures for Azure AI services. * Implement Conditional Access policies to protect AI resources and data. * Manage and monitor identity risks associated with AI applications. * Apply best practices for least privilege and identity governance with Entra ID. * Configure modern authentication flows for AI services using managed identities. * Integrate basic identity threat detection and response patterns for AI workloads. The course begins with foundational identity concepts, progressing through architectural design, policy implementation, and risk management specific to AI workloads. This course is designed for beginners in cloud security, AI development, or identity management who want to specialize in securing AI workloads. No prior experience with Entra ID or AI security is required. Start building secure and resilient AI solutions today.