Ai Risk & Governance Unleashed

Ai Risk & Governance Unleashed
Published 7/2026
Created by Arno Esterhuizen
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 5h 39m ) | Size: 7.1 GB​

Aligned with the ISACA Advanced in AI Risk certification (AAIR)
What you'll learn
Classify AI systems by function, capability, and inherent risk level
Build an AI governance committee, charter, and RACI accountability model
Apply the EU AI Act and NIST AI RMF to real AI systems
Conduct AI risk assessments and build a scored AI risk register
Perform AI threat modelling using STRIDE and AI-specific attack types
Complete a Fundamental Rights Impact Assessment under EU AI Act Article 27
Run AI vendor due diligence and map controls to threats
Prepare for the ISACA AAIR certification with scenario-based practice
Requirements
Basic understanding of risk and governance
A willingness to think in systems and frameworks - if you can follow a process, you can do this course
Description
An AI system in your organisation is already making decisions about real people - and if the board asked you today to prove it's governed, you couldn't. That gap between AI adoption and AI governance is now the fastest-growing risk in every enterprise, and closing it is exactly what this AI governance and risk course prepares you to do.
Regulators are enforcing it. Boards are accountable for it. And almost nobody is qualified to run it yet. This course takes you from "where do I even start" to genuinely capable - and prepares you for the ISACA AAIR certification (AI Audit, Assurance, and Risk) along the way.
What You'll Learn
Classify any AI system by functionality, capability, and inherent risk using the full ISACA technical taxonomy
Build AI governance structures - a governance committee, charter, and RACI that assign real accountability
Apply the EU AI Act, NIST AI RMF, and FAIR frameworks to actual AI systems, not abstract theory
Conduct AI risk assessments, threat models, and Fundamental Rights Impact Assessments end to end
Run vendor due diligence, control-to-threat mapping, and residual-risk treatment decisions
Design monitoring, incident response, and reporting for deployed AI - including agentic AI risks
Who this course is for
Risk, audit, compliance, and security professionals who've just had AI governance land on their desk
IT and governance practitioners preparing for the ISACA AAIR certification exam
Managers and leaders accountable for AI risk who need to understand what "good" actually looks like
This course is not for data scientists looking to build or tune models - this is about governing them, not coding them
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