Curriculum For This Course
Video tutorials list
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Welcome
Video Name Time 1. Welcome to the Course 6:27 -
Domain 1: AI Risk Taxonomy
Video Name Time 1. Seven AI Risk Categories: Auditor's Map 7:38 2. Inherent Risk, Residual, Audit Trail 6:57 3. Risk Register Design and Audit Sampling 7:08 4. Risk Treatment Decisions: Four Options 7:18 5. Third-Party AI Risk and Reporting 7:38 -
Domain 1: AI Lifecycle
Video Name Time 1. The Seven AI Lifecycle Stages 7:02 2. Stages 1-2: Framing and Data Audit 7:01 3. Stages 3-4: Development and Testing 7:38 4. Stages 5-6: Deployment and Monitoring 7:41 5. Stage 7 and Full-Lifecycle Planning 7:41 -
Domain 1: AI Governance Principles
Video Name Time 1. Governance Roles and Accountability 7:22 2. Three Lines of Defense for AI 7:15 3. Policy Hierarchy and Sign-Off Gates 7:57 4. Oversight Committees and Escalation 7:55 5. Governance Metrics and Audit Findings 8:10 -
Domain 1: NIST AI RMF
Video Name Time 1. NIST AI RMF Overview 7:06 2. GOVERN: Audit Scope and Evidence 7:38 3. MAP: Context and Categorization 7:40 4. MEASURE: Audit Testing Methods 7:36 5. MANAGE and Crosswalk 7:57 -
Domain 1: ISO/IEC 42001
Video Name Time 1. ISO/IEC 42001 Architecture 7:24 2. Context, Leadership, and AI Policy 7:48 3. Planning and Support 7:42 4. Operational Controls and AIMS Lifecycle 7:23 5. Clauses 9-10: Evaluation and Improvement 7:45 :00 -
Domain 1: AI Ethics Responsible Use
Video Name Time 1. The Seven Responsible AI Principles 8:38 2. Fairness and Transparency 8:00 3. Accountability and Human Oversight 8:14 4. Non-Maleficence, Privacy, and Autonomy 8:44 5. Framework Crosswalks 9:24 -
Domain 1: Responsible AI AUP
Video Name Time 1. AUP Architecture: Audit Entries 7:29 2. AUP Content -- Prohibited Uses and Tiers 7:35 3. Communication and Training Audit 7:42 4. Enforcement and Exception Audit 7:59 5. AUP Incident Program Audit 8:01 -
Domain 1: AI Privacy
Video Name Time 1. GDPR Principles: Auditor View 9:58 2. Art 22: Automated Decisions -- Audit 7:24 3. PbD and DPIAs: Audit Control Framework 7:24 4. Data Subject Rights: Audit Scope 7:27 5. Cross-Border Transfers: Audit 7:51 -
Domain 1: AI Data Governance Lineage
Video Name Time 1. AI Data Governance Architecture 6:57 2. Data Quality and Classification 7:40 3. Data Lineage for AI Auditors 7:05 4. Training Data Provenance and Risks 7:39 5. Catalog, Retention, and Access Control 7:22 -
Domain 1: AAIA Capstone
Video Name Time 1. D1 Capstone: Meridian Financial 7:10 2. D1 Capstone: Helix Analytics Scenario Lab 7:22 -
Domain 2: AI Security Threats
Video Name Time 1. Auditing AI Security 7:47 2. Auditing Prompt Injection Controls 8:29 3. Auditing Adversarial and Training Data 8:20 4. Auditing Extraction and Supply Chain 8:56 5. Auditing the Defensive Control Set 9:22 -
Domain 2: AI Incident Response BCP
Video Name Time 1. AI Incident Response Fundamentals 7:45 2. Detection, Analysis, and Declaration 7:16 3. AI-Specific Containment and Recovery 7:41 4. Regulatory Notification Obligations 7:39 5. Auditing BCP for AI Systems 7:38 -
Domain 2: Change Management
Video Name Time 1. Change Management Fundamentals 9:07 2. Stakeholder Analysis and Communication 8:23 3. Training and Resistance: Audit View 8:35 4. Metrics, Monitoring, and Reinforcement 8:27 5. Role Redesign and Sustaining AI Change 8:23 -
Domain 2: AI Supply Chain Vendor
Video Name Time 1. AI Vendor Risk Lifecycle 8:05 2. Pre-Contract Diligence: Audit 8:05 3. AI Contract Requirements 8:27 4. Third-Party Assurance Frameworks 8:40 5. Ongoing Vendor Oversight and Offboarding 8:20 -
Domain 2: AI Procurement Due Diligence
Video Name Time 1. AI Procurement Lifecycle 7:49 2. Auditing Needs Assessment and RFP Design 7:09 3. Auditing Vendor Evaluation and POC 7:50 4. Auditing Procurement Governance 7:38 5. Auditing Contract, Onboarding, Handoff 7:49 -
Domain 2: AI Bias Fairness
Video Name Time 1. AI Bias Sources and Categories 7:34 2. Fairness Metrics for Auditors 7:18 3. Fairness Impossibility Theorems 7:15 4. Bias Detection Audit Methodology 7:21 5. Bias Mitigation and Legal Exposure 7:49 -
Domain 2: AI Trust Safety
Video Name Time 1. AI Trust, Safety, and Security 7:52 2. Trust Hierarchy Frameworks 8:10 3. Hardcoded vs Softcoded Limits 7:53 4. Safety-Critical Deployment Domains 8:30 5. Failure Modes and Safety Assurance 8:16 -
Domain 2: AAIA D2 Capstone
Video Name Time 1. D2 Scenario Lab: AI Config Mgmt Audit 8:15 2. D2 Scenario Lab: AI IAM Audit 8:18 3. D2 Scenario Lab: HITL Oversight Audit 9:07 -
Domain 3: AI Audit Methodology
Video Name Time 1. AI Audit Methodology Overview 7:25 2. Planning and Risk Assessment 7:50 3. Control Identification 7:29 4. AI Audit Testing Approaches 7:15 5. Reporting and Follow-up 6:58 -
Domain 3: AI Transparency XAI
Video Name Time 1. Transparency and Explainability 7:29 2. Post-Hoc XAI Methods: LIME and SHAP 7:46 3. Inherently Interpretable Models 7:59 4. Regulatory Explainability Obligations 7:40 5. Communicating AI Decisions to Users 7:45 -
Domain 3: AI Testing Validation QA
Video Name Time 1. Auditing the AI Testing Pyramid 7:17 2. Auditing Data Splits and Holdout 7:21 3. Auditing Metrics and Bias Testing 8:09 4. Auditing Red-Teaming and Monitoring 7:42 -
Domain 3: Human Oversight HITL
Video Name Time 1. Auditing HITL: Scope and Controls 7:30 2. Auditing HITL Escalation Triggers 7:53 3. Auditing Oversight Design Patterns 7:51 4. Auditing Cognitive Failure Modes 7:56 5. Regulatory Anchor Compliance Testing 8:36 -
Domain 3: AAIA D3 Capstone
Video Name Time 1. D3 Capstone: Audit Techniques Lab 9:05 -
Domain 3: AAIA Practice Scenarios
Video Name Time 1. Scenario Walkthrough: D1 and D2 Patterns 6:55 2. Scenario Walkthrough: D2 and D3 Patterns 7:42 -
Domain 3: Practice Exams
Video Name Time 1. Before Your First Practice Exam 2:33 2. After First Exam 2:42
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