Library / Artificial Intelligence
AI Governance, Risk & Privacy Masterclass
On Udemy
About this course
Master Enterprise AI Governance, Privacy Technology, and Global Compliance Standards (EU AI Act, NIST AI RMF, ISO/IEC 42001)Welcome to the definitive, comprehensive masterclass on Enterprise AI Governance & Privacy Technology. As organizations rapidly deploy Generative AI, Large Language Models (LLMs), and autonomous agentic workflows, the demand for certified professionals who understand legal compliance, risk management, and technical privacy engineering has skyrocketed.
Whether you are a Chief AI Officer, Privacy Engineer, MLOps Lead, Risk Manager, or Compliance Officer, this course provides the end-to-end blueprint required to govern artificial intelligence safely and effectively.
What You Will Learn & Master:
Global AI Regulations & Frameworks: Deep dive into the EU AI Act (prohibited systems, high-risk compliance, fines), NIST AI Risk Management Framework (NIST AI RMF 1.0), ISO/IEC 42001 Artificial Intelligence Management Systems, and international standards (OECD, UNESCO, Executive Order 14110).
AI Security & Privacy Threat Vectors: Defend against data reconstruction attacks, membership inference attacks, prompt injection, model inversion, extraction, and data poisoning.
Technical Privacy-Enhancing Technologies (PETs): Master Differential Privacy, Homomorphic Encryption, Secure Multi-Party Computation (SMPC), Trusted Execution Environments (TEEs), and Zero-Knowledge Proofs (ZKPs).
Bias, Fairness, & Model Explainability: Implement post-hoc explainability frameworks like SHAP and LIME, quantitative fairness metrics, and pre/in/post-processing bias mitigation engineering.
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Udemy: 2026-10-22 · Coursera: 2026-10-22 · O'Reilly: 2026-10-22 · 365 Data Science: 2026-10-22
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