| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction and Course Setup | |||
| 1. Quiz 1 Course Foundations.html | 24.6 KB | ||
| 1. Welcome and Course Overview.mp4 | 21.9 MB | ||
| 1. Welcome and Course Overview_en-US.srt | 9.1 KB | ||
| 10 - Testing and Vulnerabilities in AI - Domain 2E+2F | |||
| 10. Quiz 10 AI Testing and Vulnerabilities.html | 45.6 KB | ||
| 11 - AI Incident Response - Domain 2G | |||
| 12 - AI Audit Planning, Execution and Reporting - Domain 3A-E | |||
| 11. Quiz 11 AI Audit Planning, Execution, and Reporting.html | 50.4 KB | ||
| 13 - Capstone, Exam Prep and Conclusion | |||
| 1. AAIA Final Practice Exam (94 Questions).html | 349.2 KB | ||
| 80. Course Wrap-Up, Exam Strategy, and Career Next Steps.mp4 | 11.2 MB | ||
| 80. Course Wrap-Up, Exam Strategy, and Career Next Steps_en-US.srt | 4.5 KB | ||
| Assignment 7 Capstone — MediTrust AI Audit Program Charter.html | 14.9 KB | ||
| Role Play 4 Board Presentation — AI Audit Program Results.html | 10.9 KB | ||
| Role Play 5 Job Interview — AI Audit Manager Position.html | 11 KB | ||
| images | |||
| 2 - AI Fundamentals for Auditors - Domain 1A | |||
| 2. Quiz 2 AI Models and Technology Fundamentals.html | 26.3 KB | ||
| 3 - AI Governance and Program Management - Domain 1B | |||
| 10. AI Strategy Alignment and Program Management.mp4 | 19.6 MB | ||
| 10. AI Strategy Alignment and Program Management_en-US.srt | 8.3 KB | ||
| 11. Third-Party AI Risk - Vendor Management and Supply Chain.mp4 | 36 MB | ||
| 11. Third-Party AI Risk - Vendor Management and Supply Chain_en-US.srt | 8.3 KB | ||
| 12. AI Policy Architecture - From Principle to Standard.mp4 | 16 MB | ||
| 12. AI Policy Architecture - From Principle to Standard_en-US.srt | 7.2 KB | ||
| 3. Quiz 3 AI Governance and Program Management.html | 26.8 KB | ||
| 4 - AI Risk Management - Domain 1C | |||
| 13. AI Risk Identification - Unique Risk Categories.mp4 | 19 MB | ||
| 13. AI Risk Identification - Unique Risk Categories_en-US.srt | 8.1 KB | ||
| 14. AI Risk Assessment - Quantitative and Qualitative Approaches.mp4 | 21.8 MB | ||
| 14. AI Risk Assessment - Quantitative and Qualitative Approaches_en-US.srt | 8.9 KB | ||
| 15. AI Risk Treatment and Residual Risk Acceptance.mp4 | 21.1 MB | ||
| 15. AI Risk Treatment and Residual Risk Acceptance_en-US.srt | 8.8 KB | ||
| 16. AI Risk Appetite and Tolerance Statements.mp4 | 16.1 MB | ||
| 16. AI Risk Appetite and Tolerance Statements_en-US.srt | 7.2 KB | ||
| 17. Model Risk Management - What AI Audit Inherits From Banking.mp4 | 16.5 MB | ||
| 17. Model Risk Management - What AI Audit Inherits From Banking_en-US.srt | 7.3 KB | ||
| 4. Quiz 4 AI Risk Management.html | 27.4 KB | ||
| 5 - Privacy and Data Governance for AI - Domain 1D | |||
| 18. Privacy by Design in AI - HIPAA, GDPR, and Emerging Frameworks.mp4 | 22.1 MB | ||
| 18. Privacy by Design in AI - HIPAA, GDPR, and Emerging Frameworks_en-US.srt | 8.3 KB | ||
| 19. Data Governance Programs - Ownership, Classification, and Retention.mp4 | 21.9 MB | ||
| 19. Data Governance Programs - Ownership, Classification, and Retention_en-US.srt | 8 KB | ||
| 20. Consent Management and Data Subject Rights in AI.mp4 | 37.1 MB | ||
| 20. Consent Management and Data Subject Rights in AI_en-US.srt | 8.3 KB | ||
| 21. Automated Decision-Making Rights and Data Subject Requests.mp4 | 16.8 MB | ||
| 21. Automated Decision-Making Rights and Data Subject Requests_en-US.srt | 7.5 KB | ||
| 5. Quiz 5 Privacy and Data Governance for AI.html | 31.2 KB | ||
| 6 - AI Ethics, Regulations and Standards - Domain 1E | |||
| 22. The EU AI Act - Risk Classification and Audit Implications.mp4 | 22.6 MB | ||
| 22. The EU AI Act - Risk Classification and Audit Implications_en-US.srt | 8.3 KB | ||
| 23. AI Ethics Frameworks - Fairness, Accountability, Transparency.mp4 | 22.3 MB | ||
| 23. AI Ethics Frameworks - Fairness, Accountability, Transparency_en-US.srt | 8.4 KB | ||
| 24. Global AI Regulatory Landscape - NIST, OECD, IEEE, Sector Rules.mp4 | 41.4 MB | ||
| 24. Global AI Regulatory Landscape - NIST, OECD, IEEE, Sector Rules_en-US.srt | 8.4 KB | ||
| 25. AI Transparency Obligations and Disclosure Design.mp4 | 15.4 MB | ||
| 25. AI Transparency Obligations and Disclosure Design_en-US.srt | 7.2 KB | ||
| 26. Sector-Specific AI Rules - Health, Finance, and Employment.mp4 | 18 MB | ||
| 26. Sector-Specific AI Rules - Health, Finance, and Employment_en-US.srt | 7.6 KB | ||
| 6. Quiz 6 AI Ethics, Regulations, and Standards.html | 31.2 KB | ||
| 7 - Data Management for AI - Domain 2A | |||
| 27. Training Data Quality - Completeness, Accuracy, Representativeness.mp4 | 20.3 MB | ||
| 27. Training Data Quality - Completeness, Accuracy, Representativeness_en-US.srt | 7.7 KB | ||
| 28. Data Lineage and Provenance - Tracing Data from Source to Model.mp4 | 21 MB | ||
| 28. Data Lineage and Provenance - Tracing Data from Source to Model_en-US.srt | 7.9 KB | ||
| 29. Data Preprocessing, Feature Engineering, and Transformation Controls - Validatio.mp4 | 22.3 MB | ||
| 29. Data Preprocessing, Feature Engineering, and Transformation Controls - Validatio_en-US.srt | 8.3 KB | ||
| 30. Synthetic Data, Data Augmentation, and De-identification - Privacy-Preserving Da.mp4 | 41.6 MB | ||
| 30. Synthetic Data, Data Augmentation, and De-identification - Privacy-Preserving Da_en-US.srt | 8.6 KB | ||
| 31. Training-Serving Skew and Feature Pipeline Controls.mp4 | 28.5 MB | ||
| 31. Training-Serving Skew and Feature Pipeline Controls_en-US.srt | 8.2 KB | ||
| 32. Data Labeling Quality and Annotator Agreement.mp4 | 16.9 MB | ||
| 32. Data Labeling Quality and Annotator Agreement_en-US.srt | 7.9 KB | ||
| 33. Data Sourcing, Licensing, and Third-Party Data Risk.mp4 | 16.7 MB | ||
| 33. Data Sourcing, Licensing, and Third-Party Data Risk_en-US.srt | 7.7 KB | ||
| 7. Quiz 7 Data Management for AI.html | 43.6 KB | ||
| 8 - AI Development Lifecycle and Change Management - Domain 2B+2C | |||
| 34. The AIML Development Lifecycle - Problem Definition to Deployment.mp4 | 13.7 MB | ||
| 34. The AIML Development Lifecycle - Problem Definition to Deployment_en-US.srt | 5.5 KB | ||
| 35. MLOps - Continuous Integration, Delivery, and Monitoring.mp4 | 13.6 MB | ||
| 35. MLOps - Continuous Integration, Delivery, and Monitoring_en-US.srt | 5.5 KB | ||
| 36. Model Validation - Metrics, Benchmarking, and Acceptance Criteria.mp4 | 15 MB | ||
| 36. Model Validation - Metrics, Benchmarking, and Acceptance Criteria_en-US.srt | 5.9 KB | ||
| 37. Change Management - Retraining, Versioning, and Rollback.mp4 | 13.9 MB | ||
| 37. Change Management - Retraining, Versioning, and Rollback_en-US.srt | 5.7 KB | ||
| 38. AI in Production - Deployment Patterns and Canary Releases.mp4 | 24.5 MB | ||
| 38. AI in Production - Deployment Patterns and Canary Releases_en-US.srt | 5.7 KB | ||
| 39. Predetermined Change Control Plans for Regulated AI.mp4 | 17.2 MB | ||
| 39. Predetermined Change Control Plans for Regulated AI_en-US.srt | 7.7 KB | ||
| 40. Deployment Patterns for AI - Shadow, Canary, and Blue-Green.mp4 | 16.9 MB | ||
| 40. Deployment Patterns for AI - Shadow, Canary, and Blue-Green_en-US.srt | 7.7 KB | ||
| 41. Model Registries, Approval Gates, and Release Evidence.mp4 | 17.5 MB | ||
| 41. Model Registries, Approval Gates, and Release Evidence_en-US.srt | 7.8 KB | ||
| 42. Model Documentation Standards - Cards, Datasheets, and Technical Files.mp4 | 17.2 MB | ||
| 42. Model Documentation Standards - Cards, Datasheets, and Technical Files_en-US.srt | 7.5 KB | ||
| 43. Reproducibility and Experiment Governance.mp4 | 16.2 MB | ||
| 43. Reproducibility and Experiment Governance_en-US.srt | 7.3 KB | ||
| 44. Auditing Retrieval-Augmented and Fine-Tuned Architectures.mp4 | 16.3 MB | ||
| 44. Auditing Retrieval-Augmented and Fine-Tuned Architectures_en-US.srt | 7.3 KB | ||
| 8. Quiz 8 AI Development and Change Management.html | 46.7 KB | ||
| 9 - AI Supervision and Monitoring - Domain 2D | |||
| 45. Human-in-the-Loop, On-the-Loop, and Out-of-the-Loop.mp4 | 25.5 MB | ||
| 45. Human-in-the-Loop, On-the-Loop, and Out-of-the-Loop_en-US.srt | 6 KB | ||
| 46. Model Drift Detection - Data Drift, Concept Drift, Performance Degradation.mp4 | 14.3 MB | ||
| 46. Model Drift Detection - Data Drift, Concept Drift, Performance Degradation_en-US.srt | 5.7 KB | ||
| 47. Explainability and Interpretability - SHAP, LIME, Counterfactuals.mp4 | 24.7 MB | ||
| 47. Explainability and Interpretability - SHAP, LIME, Counterfactuals_en-US.srt | 5.7 KB | ||
| 48. Continuous Monitoring Dashboards and Alerting.mp4 | 14.8 MB | ||
| 48. Continuous Monitoring Dashboards and Alerting_en-US.srt | 5.7 KB | ||
| 49. Automation Bias and Measuring Meaningful Human Oversight.mp4 | 28.8 MB | ||
| 49. Automation Bias and Measuring Meaningful Human Oversight_en-US.srt | 8.2 KB | ||
| 50. Subgroup Performance Monitoring and Fairness Drift.mp4 | 16.2 MB | ||
| 50. Subgroup Performance Monitoring and Fairness Drift_en-US.srt | 7.4 KB | ||
| 51. Alert Design, Thresholds, and Escalation for AI Systems.mp4 | 15.8 MB | ||
| 51. Alert Design, Thresholds, and Escalation for AI Systems_en-US.srt | 7.1 KB | ||
| 9. Quiz 9 AI Supervision and Monitoring.html | 46.1 KB | ||
| Assignment 3 AI Development Lifecycle Audit for ClinIQ Diagnostic.html | 11.5 KB | ||
| Assignment 2 EU AI Act Risk Classification for MediTrust AI Systems.html | 7.6 KB | ||
| Role Play 2 Ethics Review Board — TrialMatch Patient Selection Bias.html | 12.4 KB | ||
| Role Play 1 Risk Committee Presentation — ClinIQ Bias Incident.html | 9.7 KB | ||
| 8. AI Governance Frameworks - COBIT, NIST AI RMF, ISO 42001.mp4 | 20.5 MB | ||
| 8. AI Governance Frameworks - COBIT, NIST AI RMF, ISO 42001_en-US.srt | 8.1 KB | ||
| 9. AI Governance Structures - Roles, Committees, and Accountability.mp4 | 21.3 MB | ||
| 9. AI Governance Structures - Roles, Committees, and Accountability_en-US.srt | 8.7 KB | ||
| Assignment 1 AI Governance Gap Analysis for MediTrust.html | 7.1 KB | ||
| 4. Types of AI and Machine Learning Models - An Auditor’s Taxonomy.mp4 | 17.7 MB | ||
| 4. Types of AI and Machine Learning Models - An Auditor’s Taxonomy_en-US.srt | 7.6 KB | ||
| 5. How Neural Networks and Deep Learning Actually Work.mp4 | 18.4 MB | ||
| 5. How Neural Networks and Deep Learning Actually Work_en-US.srt | 8.6 KB | ||
| 6. Generative AI and Large Language Models - Architecture and Risks.mp4 | 19.2 MB | ||
| 6. Generative AI and Large Language Models - Architecture and Risks_en-US.srt | 8.6 KB | ||
| 7. AI System Components - Data, Models, Infrastructure, and People.mp4 | 23 MB | ||
| 7. AI System Components - Data, Models, Infrastructure, and People_en-US.srt | 10.1 KB | ||
| img_118324042.js | 203.6 KB | ||
| 63. AI Audit Planning - Scoping, Risk Assessment, and Objectives.mp4 | 12.4 MB | ||
| 63. AI Audit Planning - Scoping, Risk Assessment, and Objectives_en-US.srt | 4.8 KB | ||
| 64. Designing AI Audit Programs - Control Objectives and Procedures.mp4 | 12.3 MB | ||
| 64. Designing AI Audit Programs - Control Objectives and Procedures_en-US.srt | 4.8 KB | ||
| 65. AI Audit Testing - Sampling Methodologies.mp4 | 12.6 MB | ||
| 65. AI Audit Testing - Sampling Methodologies_en-US.srt | 4.8 KB | ||
| 66. Evidence Collection - Logs, Configurations, and Model Artifacts.mp4 | 12.5 MB | ||
| 66. Evidence Collection - Logs, Configurations, and Model Artifacts_en-US.srt | 4.9 KB | ||
| 67. Data Quality Assessment and Data Analytics in AI Audits.mp4 | 11.2 MB | ||
| 67. Data Quality Assessment and Data Analytics in AI Audits_en-US.srt | 4.4 KB | ||
| 68. Writing AI Audit Findings - Condition, Criteria, Cause, Effect.mp4 | 10.9 MB | ||
| 68. Writing AI Audit Findings - Condition, Criteria, Cause, Effect_en-US.srt | 4.6 KB | ||
| 69. AI Audit Reports - Structure, Ratings, and Board Communication.mp4 | 10.4 MB | ||
| 69. AI Audit Reports - Structure, Ratings, and Board Communication_en-US.srt | 4.6 KB | ||
| 70. The AI Audit Universe and Risk-Based Annual Planning.mp4 | 36.9 MB | ||
| 70. The AI Audit Universe and Risk-Based Annual Planning_en-US.srt | 10.2 KB | ||
| 71. Scoping AI Audits - Boundaries, Exclusions, and Materiality.mp4 | 20.7 MB | ||
| 71. Scoping AI Audits - Boundaries, Exclusions, and Materiality_en-US.srt | 9 KB | ||
| 72. Control Objectives and Testable Criteria for AI Systems.mp4 | 19.1 MB | ||
| 72. Control Objectives and Testable Criteria for AI Systems_en-US.srt | 8.3 KB | ||
| 73. Walkthroughs and Inquiry Techniques for AI Auditees.mp4 | 15.2 MB | ||
| 73. Walkthroughs and Inquiry Techniques for AI Auditees_en-US.srt | 7.7 KB | ||
| 74. Statistical Sampling for AI Model Outputs.mp4 | 17.9 MB | ||
| 74. Statistical Sampling for AI Model Outputs_en-US.srt | 8.3 KB | ||
| 75. Reperformance and Independent Model Testing.mp4 | 17.6 MB | ||
| 75. Reperformance and Independent Model Testing_en-US.srt | 8.1 KB | ||
| 76. Evaluating Evidence Reliability in AI Audits.mp4 | 18.1 MB | ||
| 76. Evaluating Evidence Reliability in AI Audits_en-US.srt | 8.1 KB | ||
| 77. Working with AI Specialists and Using the Work of Others.mp4 | 28.9 MB | ||
| 77. Working with AI Specialists and Using the Work of Others_en-US.srt | 8.4 KB | ||
| 78. Audit Committee and Board Reporting on AI.mp4 | 17 MB | ||
| 78. Audit Committee and Board Reporting on AI_en-US.srt | 7.7 KB | ||
| 79. Remediation Tracking and Continuous AI Auditing.mp4 | 17.6 MB | ||
| 79. Remediation Tracking and Continuous AI Auditing_en-US.srt | 8 KB | ||
| Assignment 5 AI Audit Plan for MediTrust.html | 13.1 KB | ||
| Assignment 6 Complete AI Audit Report — ClinIQ Diagnostic.html | 13.4 KB | ||
| 59. AI Incident Classification and Response Frameworks.mp4 | 14 MB | ||
| 59. AI Incident Classification and Response Frameworks_en-US.srt | 5.5 KB | ||
| 60. AI Incident Investigation - Root Cause Analysis and Forensics.mp4 | 25.6 MB | ||
| 60. AI Incident Investigation - Root Cause Analysis and Forensics_en-US.srt | 5.5 KB | ||
| 61. Post-Incident Review and Lessons Learned.mp4 | 13.9 MB | ||
| 61. Post-Incident Review and Lessons Learned_en-US.srt | 5.6 KB | ||
| 62. AI Incident Severity, Blast Radius, and Notification.mp4 | 17.4 MB | ||
| 62. AI Incident Severity, Blast Radius, and Notification_en-US.srt | 7.8 KB | ||
| Role Play 3 Incident Response — StaffOptima Wrongful Termination.html | 10.9 KB | ||
| 52. Testing AI - Unit, Integration, and Adversarial Testing.mp4 | 14 MB | ||
| 52. Testing AI - Unit, Integration, and Adversarial Testing_en-US.srt | 5.6 KB | ||
| 53. Bias and Fairness Testing - Statistical Parity and Disparate Impact.mp4 | 15 MB | ||
| 53. Bias and Fairness Testing - Statistical Parity and Disparate Impact_en-US.srt | 5.7 KB | ||
| 54. AI Security Threats - Data Poisoning, Model Extraction, Evasion.mp4 | 14.4 MB | ||
| 54. AI Security Threats - Data Poisoning, Model Extraction, Evasion_en-US.srt | 5.7 KB | ||
| 55. Prompt Injection, Hallucinations, and GenAI Vulnerabilities.mp4 | 14.4 MB | ||
| 55. Prompt Injection, Hallucinations, and GenAI Vulnerabilities_en-US.srt | 5.8 KB | ||
| 56. Red Teaming and Adversarial Testing Programmes.mp4 | 29.1 MB | ||
| 56. Red Teaming and Adversarial Testing Programmes_en-US.srt | 7.9 KB | ||
| 57. Evaluating LLM Outputs - Hallucination and Groundedness.mp4 | 17.6 MB | ||
| 57. Evaluating LLM Outputs - Hallucination and Groundedness_en-US.srt | 7.6 KB | ||
| 58. AI Supply Chain Security and Model Provenance.mp4 | 17.5 MB | ||
| 58. AI Supply Chain Security and Model Provenance_en-US.srt | 8 KB | ||
| Assignment 4 Bias Audit Report for ClinIQ Diagnostic.html | 10.7 KB | ||
| 2. Understanding the AAIA Exam - Domains, Weights, and Strategy.mp4 | 11.7 MB | ||
| 2. Understanding the AAIA Exam - Domains, Weights, and Strategy_en-US.srt | 5.8 KB | ||
| 3. Meet MediTrust AI - Our Healthcare AI Company.mp4 | 16 MB | ||
| 3. Meet MediTrust AI - Our Healthcare AI Company_en-US.srt | 7 KB |
AI Audit Masterclass: ISACA AAIA Certification Prep
https://WebToolTip.com
Published 8/2026
Created by Dr. Amar Massoud
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English + subtitle | Duration: 80 Lectures ( 7h 19m ) | Size: 1.6 GB
Master AI governance, risk, and audit across all 3 AAIA domains — with a full healthcare AI case study.
What you'll learn
⚡ Audit AI systems across all three ISACA AAIA domains using COBIT 2019, NIST AI RMF, ISO/IEC 42001 and the EU AI Act
⚡ Build AI risk registers, governance maturity assessments, and audit programs that stand up to audit committee scrutiny
⚡ Test AI models for bias using the right fairness metric for the decision — and recognize when the wrong metric hides a real disparity
⚡ Evaluate MLOps controls and tell the difference between a control that exists and a control that actually operates
⚡ Assess AI-specific security threats: data poisoning, model extraction, membership inference, and prompt injection
⚡ Investigate AI incidents, determine blast radius, and handle regulatory notification obligations
⚡ Write audit findings using condition-criteria-cause-consequence that survive management challenge
⚡ Evaluate AI audit evidence for sufficiency, reliability and independence — including when management produced the numbers
Requirements
❗ An existing audit credential (CISA, CIA, CPA or equivalent) is required by ISACA to sit the AAIA exam — but not to take this course
❗ Working knowledge of audit fundamentals: evidence, sampling, professional skepticism, and audit reporting
❗ No machine learning or programming background needed — all AI concepts are taught from scratch for auditors
❗ A willingness to do the work: the assignments require you to draft real audit deliverables
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