Managing Secure AI-Ready Infrastructure with Azure

As organizations integrate AI agents into their workflows, securing the underlying cloud infrastructure becomes a critical priority. This course guides you through establishing a zero-trust foundation for AI workloads, ensuring your data and agents remain secure and compliant without relying on risky hardcoded credentials. What you'll learn: 1. Understand foundational security concepts for AI workloads and zero-trust architecture. 2. Configure Entra ID managed identities to eliminate stored credentials in your applications. 3. Apply Azure RBAC roles to enforce the principle of least privilege for AI agents. 4. Deploy Azure Cosmos DB for NoSQL to serve as a secure, scalable conversation store. 5. Implement compliance and data protection practices for agent history and memory. You will start with key terminology and foundational security concepts before moving into step-by-step written explanations on identity configuration and database deployment. This course is designed for cloud beginners, developers, and IT administrators looking to secure modern AI infrastructure, with no prior security experience required. Start building a secure foundation for your AI applications today.