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AAIA: ISACA Advanced in AI Audit Certification Video Training Course
The complete solution to prepare for for your exam with AAIA: ISACA Advanced in AI Audit certification video training course. The AAIA: ISACA Advanced in AI Audit certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Isaca AAIA exam dumps, study guide & practice test questions and answers.
118 Students Enrolled
21:47:13 Hours
AAIA: ISACA Advanced in AI Audit Certification Video Training Course Exam Curriculum
1
Welcome
1 Lectures
Time 00:06:27
2
Domain 1: AI Risk Taxonomy
5 Lectures
Time 00:36:39
3
Domain 1: AI Lifecycle
5 Lectures
Time 00:37:03
4
Domain 1: AI Governance Principles
5 Lectures
Time 00:38:39
5
Domain 1: NIST AI RMF
5 Lectures
Time 00:37:57
6
Domain 1: ISO/IEC 42001
5 Lectures
Time 08:15:17
7
Domain 1: AI Ethics Responsible Use
5 Lectures
Time 00:43:00
8
Domain 1: Responsible AI AUP
5 Lectures
Time 00:38:46
9
Domain 1: AI Privacy
5 Lectures
Time 00:40:04
10
Domain 1: AI Data Governance Lineage
5 Lectures
Time 00:36:43
11
Domain 1: AAIA Capstone
2 Lectures
Time 00:14:32
12
Domain 2: AI Security Threats
5 Lectures
Time 00:42:54
13
Domain 2: AI Incident Response BCP
5 Lectures
Time 00:37:59
14
Domain 2: Change Management
5 Lectures
Time 00:42:55
15
Domain 2: AI Supply Chain Vendor
5 Lectures
Time 00:41:37
16
Domain 2: AI Procurement Due Diligence
5 Lectures
Time 00:38:15
17
Domain 2: AI Bias Fairness
5 Lectures
Time 00:37:17
18
Domain 2: AI Trust Safety
5 Lectures
Time 00:40:41
19
Domain 2: AAIA D2 Capstone
3 Lectures
Time 00:25:40
20
Domain 3: AI Audit Methodology
5 Lectures
Time 00:36:57
21
Domain 3: AI Transparency XAI
5 Lectures
Time 00:38:39
22
Domain 3: AI Testing Validation QA
4 Lectures
Time 00:30:29
23
Domain 3: Human Oversight HITL
5 Lectures
Time 00:39:46
24
Domain 3: AAIA D3 Capstone
1 Lectures
Time 00:09:05
25
Domain 3: AAIA Practice Scenarios
2 Lectures
Time 00:14:37
26
Domain 3: Practice Exams
2 Lectures
Time 00:05:15
Welcome
-
6:27
1. Welcome to the Course
Domain 1: AI Risk Taxonomy
-
7:38
1. Seven AI Risk Categories: Auditor's Map
-
6:57
2. Inherent Risk, Residual, Audit Trail
-
7:08
3. Risk Register Design and Audit Sampling
-
7:18
4. Risk Treatment Decisions: Four Options
-
7:38
5. Third-Party AI Risk and Reporting
Domain 1: AI Lifecycle
-
7:02
1. The Seven AI Lifecycle Stages
-
7:01
2. Stages 1-2: Framing and Data Audit
-
7:38
3. Stages 3-4: Development and Testing
-
7:41
4. Stages 5-6: Deployment and Monitoring
-
7:41
5. Stage 7 and Full-Lifecycle Planning
Domain 1: AI Governance Principles
-
7:22
1. Governance Roles and Accountability
-
7:15
2. Three Lines of Defense for AI
-
7:57
3. Policy Hierarchy and Sign-Off Gates
-
7:55
4. Oversight Committees and Escalation
-
8:10
5. Governance Metrics and Audit Findings
Domain 1: NIST AI RMF
-
7:06
1. NIST AI RMF Overview
-
7:38
2. GOVERN: Audit Scope and Evidence
-
7:40
3. MAP: Context and Categorization
-
7:36
4. MEASURE: Audit Testing Methods
-
7:57
5. MANAGE and Crosswalk
Domain 1: ISO/IEC 42001
-
7:24
1. ISO/IEC 42001 Architecture
-
7:48
2. Context, Leadership, and AI Policy
-
7:42
3. Planning and Support
-
7:23
4. Operational Controls and AIMS Lifecycle
-
7:45 :00
5. Clauses 9-10: Evaluation and Improvement
Domain 1: AI Ethics Responsible Use
-
8:38
1. The Seven Responsible AI Principles
-
8:00
2. Fairness and Transparency
-
8:14
3. Accountability and Human Oversight
-
8:44
4. Non-Maleficence, Privacy, and Autonomy
-
9:24
5. Framework Crosswalks
Domain 1: Responsible AI AUP
-
7:29
1. AUP Architecture: Audit Entries
-
7:35
2. AUP Content -- Prohibited Uses and Tiers
-
7:42
3. Communication and Training Audit
-
7:59
4. Enforcement and Exception Audit
-
8:01
5. AUP Incident Program Audit
Domain 1: AI Privacy
-
9:58
1. GDPR Principles: Auditor View
-
7:24
2. Art 22: Automated Decisions -- Audit
-
7:24
3. PbD and DPIAs: Audit Control Framework
-
7:27
4. Data Subject Rights: Audit Scope
-
7:51
5. Cross-Border Transfers: Audit
Domain 1: AI Data Governance Lineage
-
6:57
1. AI Data Governance Architecture
-
7:40
2. Data Quality and Classification
-
7:05
3. Data Lineage for AI Auditors
-
7:39
4. Training Data Provenance and Risks
-
7:22
5. Catalog, Retention, and Access Control
Domain 1: AAIA Capstone
-
7:10
1. D1 Capstone: Meridian Financial
-
7:22
2. D1 Capstone: Helix Analytics Scenario Lab
Domain 2: AI Security Threats
-
7:47
1. Auditing AI Security
-
8:29
2. Auditing Prompt Injection Controls
-
8:20
3. Auditing Adversarial and Training Data
-
8:56
4. Auditing Extraction and Supply Chain
-
9:22
5. Auditing the Defensive Control Set
Domain 2: AI Incident Response BCP
-
7:45
1. AI Incident Response Fundamentals
-
7:16
2. Detection, Analysis, and Declaration
-
7:41
3. AI-Specific Containment and Recovery
-
7:39
4. Regulatory Notification Obligations
-
7:38
5. Auditing BCP for AI Systems
Domain 2: Change Management
-
9:07
1. Change Management Fundamentals
-
8:23
2. Stakeholder Analysis and Communication
-
8:35
3. Training and Resistance: Audit View
-
8:27
4. Metrics, Monitoring, and Reinforcement
-
8:23
5. Role Redesign and Sustaining AI Change
Domain 2: AI Supply Chain Vendor
-
8:05
1. AI Vendor Risk Lifecycle
-
8:05
2. Pre-Contract Diligence: Audit
-
8:27
3. AI Contract Requirements
-
8:40
4. Third-Party Assurance Frameworks
-
8:20
5. Ongoing Vendor Oversight and Offboarding
Domain 2: AI Procurement Due Diligence
-
7:49
1. AI Procurement Lifecycle
-
7:09
2. Auditing Needs Assessment and RFP Design
-
7:50
3. Auditing Vendor Evaluation and POC
-
7:38
4. Auditing Procurement Governance
-
7:49
5. Auditing Contract, Onboarding, Handoff
Domain 2: AI Bias Fairness
-
7:34
1. AI Bias Sources and Categories
-
7:18
2. Fairness Metrics for Auditors
-
7:15
3. Fairness Impossibility Theorems
-
7:21
4. Bias Detection Audit Methodology
-
7:49
5. Bias Mitigation and Legal Exposure
Domain 2: AI Trust Safety
-
7:52
1. AI Trust, Safety, and Security
-
8:10
2. Trust Hierarchy Frameworks
-
7:53
3. Hardcoded vs Softcoded Limits
-
8:30
4. Safety-Critical Deployment Domains
-
8:16
5. Failure Modes and Safety Assurance
Domain 2: AAIA D2 Capstone
-
8:15
1. D2 Scenario Lab: AI Config Mgmt Audit
-
8:18
2. D2 Scenario Lab: AI IAM Audit
-
9:07
3. D2 Scenario Lab: HITL Oversight Audit
Domain 3: AI Audit Methodology
-
7:25
1. AI Audit Methodology Overview
-
7:50
2. Planning and Risk Assessment
-
7:29
3. Control Identification
-
7:15
4. AI Audit Testing Approaches
-
6:58
5. Reporting and Follow-up
Domain 3: AI Transparency XAI
-
7:29
1. Transparency and Explainability
-
7:46
2. Post-Hoc XAI Methods: LIME and SHAP
-
7:59
3. Inherently Interpretable Models
-
7:40
4. Regulatory Explainability Obligations
-
7:45
5. Communicating AI Decisions to Users
Domain 3: AI Testing Validation QA
-
7:17
1. Auditing the AI Testing Pyramid
-
7:21
2. Auditing Data Splits and Holdout
-
8:09
3. Auditing Metrics and Bias Testing
-
7:42
4. Auditing Red-Teaming and Monitoring
Domain 3: Human Oversight HITL
-
7:30
1. Auditing HITL: Scope and Controls
-
7:53
2. Auditing HITL Escalation Triggers
-
7:51
3. Auditing Oversight Design Patterns
-
7:56
4. Auditing Cognitive Failure Modes
-
8:36
5. Regulatory Anchor Compliance Testing
Domain 3: AAIA D3 Capstone
-
9:05
1. D3 Capstone: Audit Techniques Lab
Domain 3: AAIA Practice Scenarios
-
6:55
1. Scenario Walkthrough: D1 and D2 Patterns
-
7:42
2. Scenario Walkthrough: D2 and D3 Patterns
Domain 3: Practice Exams
-
2:33
1. Before Your First Practice Exam
-
2:42
2. After First Exam
About AAIA: ISACA Advanced in AI Audit Certification Video Training Course
AAIA: ISACA Advanced in AI Audit certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
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