Governing AI Workloads with AI Foundry

Deploying artificial intelligence at scale requires a careful balance between rapid innovation and strict compliance. This text-based course guides you through establishing robust governance frameworks for your AI workloads using AI Foundry. You will transition from basic AI deployment to structuring fully compliant, secure, and cost-effective AI operations. By reading through structured explanations and analyzing real-world configuration examples, you will learn how to protect sensitive data, manage resource quotas, and enforce policy-driven controls across your organization. What you'll learn: Understand foundational AI governance principles and risk management frameworks; Configure policy-driven controls to restrict unauthorized model deployments; Enforce operational safeguards, including content filtering and safety system settings; Manage computing costs and resource quotas across diverse team environments; Apply modern security practices to protect sensitive training data and model endpoints; Monitor AI system performance and compliance through audit logs and metrics. The course begins with essential terminology and the core pillars of AI governance. You will then progress through step-by-step written guides on setting up policies, configuring safety filters, and managing budgets to ensure secure and efficient AI operations. This course is designed for beginning AI administrators, compliance officers, and IT professionals looking to secure their organization's AI initiatives. No prior experience with AI governance is required. Start reading today to build a secure and responsible foundation for your organization's AI journey.