Ai Risk Management & Certification Prep Guide
Published 4/2026
Created by Fortivance Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 89 Lectures ( 9h 29m ) | Size: 8.62 GB

Independent prep aligned with leading AI risk certifications including ISACA AAIR. Not affiliated with ISACA.
What you'll learn
✓ Identify and assess AI-specific risks across the full AI lifecycle using structured frameworks aligned to the AAIR exam domains.
✓ Apply globally recognized standards - NIST AI RMF, EU AI Act, and ISO/IEC 23894 - to practical AI risk scenarios and case studies.
✓ Design data, model, and organizational controls to detect, mitigate, and monitor risks in real-world AI deployments.
✓ Build an enterprise AI risk program integrated with GRC platforms, risk registers, incident response, and reporting structures.
✓ Recognize emerging threats including agentic AI risks, generative AI harms, adversarial attacks, and third-party supply chain risks.
Requirements
● Basic familiarity with risk management or IT/technology governance concepts is helpful but not required - all foundational ideas are introduced clearly.
● No prior AI or machine learning expertise is needed; all technical concepts are explained in plain, jargon-free language with real-world examples.
Description
This course contains the use of artificial intelligence.
AI Risk Management Masterclass | Unofficial Exam Prep for the ISACA AAIR Certification
Preparing for the AAIR exam? This masterclass gives you a structured, practical, and plain-language path through AI risk management - built for risk, audit, compliance, and governance professionals who want to master the subject and walk into the exam with confidence.
Before You Enroll This is an independent, unofficial exam preparation course. It is not affiliated with, endorsed by, or produced in partnership with ISACA. AAIR™, Advanced in AI Risk™, and ISACA® are trademarks of ISACA, referenced here solely for educational context. Use ISACA's official materials as your primary study resource. This course is designed to complement them - helping you decode complex concepts, apply frameworks to real scenarios, and retain what matters most.
What You Get
• Initial assessment test to benchmark your starting point
• Chapter quizzes after every module to reinforce learning
• Role play scenarios and practical assignments grounded in real AI risk situations
• 300+ exam-oriented practice questions across all three domains
• Full-length timed practice test simulating actual exam conditions
• Downloadable AI Risk Management Toolkit with templates, checklists, and reference materials
What This Course Covers
• AI fundamentals and why AI risk differs from traditional technology risk
• AI bias, harms, and ethical and societal implications including ESG
• Risk identification, analysis, evaluation, and mitigation strategies
• Key frameworks including NIST AI RMF, EU AI Act, and ISO/IEC 23894
• Enterprise AI governance, policy frameworks, roles, and accountability
• AI risk monitoring, reporting, incident response, and business continuity
• Managing enterprise AI risk programs including third-party and supply chain risk
Who Should Enroll Risk managers, auditors, compliance officers, governance professionals, legal advisors, and IT security practitioners holding a qualifying prerequisite certification who want to validate their AI risk expertise with a globally recognised credential.
Enroll today. Study smart. Earn your AAIR.
Disclaimer: This course is independently created and is not affiliated with or endorsed by ISACA. ISACA®, AAIR™, and related marks are trademarks of ISACA. Refer to ISACA's website for official exam information.
Who this course is for
■ Risk, compliance, audit, and governance professionals seeking structured, exam-oriented preparation for the ISACA AAIR certification.
■ IT, data, and technology leaders responsible for overseeing AI system design, deployment, monitoring, and organizational risk governance.
■ Professionals in legal, operations, HR, and business functions who need to evaluate and manage AI-related risks within their organizations.