Governing and Securing AI Ready Infrastructure on Azure

As organizations rapidly adopt artificial intelligence, securing the underlying cloud infrastructure becomes a critical priority. Setting up AI workloads without proper guardrails can lead to compliance violations, data leaks, and unexpected costs. This text-based course guides you through the foundational principles of designing, securing, and governing Azure infrastructure tailored for AI. You will transition from understanding basic cloud security concepts to implementing robust governance frameworks that keep your AI workloads compliant and secure. What you'll learn: Understand foundational cloud governance frameworks and how they apply to AI resources; Configure Azure Policies and identity access controls to enforce security guardrails; Implement responsible AI safeguards and data protection mechanisms within your cloud environment; Apply Zero Trust security principles to protect sensitive training data and model endpoints; Monitor and audit AI infrastructure costs and performance using modern observability tools. The course begins with essential terminology and the core pillars of cloud governance before moving into step-by-step written walkthroughs for policy creation, access management, and infrastructure monitoring. You will solidify your learning through practical, text-based scenarios and review exercises. This course is designed for IT administrators, security professionals, and cloud beginners who want to build a strong foundation in cloud governance for AI. No prior experience with AI infrastructure is required. Start reading today to build a secure and compliant foundation for your organization's AI initiatives.