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AIGP: Artificial Intelligence Governance Professional Certification Video Training Course
The complete solution to prepare for for your exam with AIGP: Artificial Intelligence Governance Professional certification video training course. The AIGP: Artificial Intelligence Governance Professional 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 IAPP AIGP exam dumps, study guide & practice test questions and answers.
122 Students Enrolled
15:50:56 Hours
AIGP: Artificial Intelligence Governance Professional Certification Video Training Course Exam Curriculum
1
Welcome
1 Lectures
Time 00:06:14
2
Domain 1: LLM and AI Fundamentals
5 Lectures
Time 00:39:52
3
Domain 1: AI Risk Taxonomy
5 Lectures
Time 00:38:39
4
Domain 1: AI Ethics and Responsible Use
4 Lectures
Time 00:30:29
5
Domain 1: AI Governance Principles
5 Lectures
Time 00:36:55
6
Domain 1: AI Lifecycle
5 Lectures
Time 00:42:03
7
Domain 1: AI Policy Development
4 Lectures
Time 00:27:26
8
Domain 1: Responsible AI AUP
4 Lectures
Time 00:29:32
9
Domain 1: AIGP D1 Capstone Scenario Labs
2 Lectures
Time 00:17:31
10
Domain 2: AI Privacy
4 Lectures
Time 00:31:37
11
Domain 2: AI Regulatory Landscape
4 Lectures
Time 00:31:32
12
Domain 2: EU AI Act
3 Lectures
Time 00:26:28
13
Domain 2: NIST AI RMF
5 Lectures
Time 00:41:39
14
Domain 2: ISO/IEC 42001
4 Lectures
Time 00:29:34
15
Domain 2: AIGP D2 Capstone Scenario Labs
2 Lectures
Time 00:17:47
16
Domain 3: AI Transparency and XAI
4 Lectures
Time 00:28:30
17
Domain 3: AI Bias and Fairness
4 Lectures
Time 00:30:04
18
Domain 3: AI Data Governance and Lineage
5 Lectures
Time 00:36:42
19
Domain 3: AI Testing, Validation, and QA
4 Lectures
Time 00:29:02
20
Domain 3: Model Risk Management
5 Lectures
Time 00:36:48
21
Domain 3: Human Oversight and HITL
5 Lectures
Time 00:37:04
22
Domain 3: AI Incident Response and BCP
5 Lectures
Time 00:36:53
23
Domain 3: AIGP D3 Capstone Scenario Labs
2 Lectures
Time 00:19:16
24
Domain 4: AI Supply Chain and Vendor
4 Lectures
Time 00:30:03
25
Domain 4: AI Procurement and Due Diligence
5 Lectures
Time 00:36:56
26
Domain 4: Change Management AI
5 Lectures
Time 00:42:04
27
Domain 4: AI Risk Metrics and Reporting
4 Lectures
Time 00:29:30
28
Domain 4: AI Security Threats
5 Lectures
Time 00:42:03
29
Domain 4: AI Trust and Safety
4 Lectures
Time 00:30:37
30
Domain 4: AIGP D4 Capstone Scenario Labs
2 Lectures
Time 00:18:54
31
Domain 4: AIGP Practice Scenarios
2 Lectures
Time 00:14:20
32
Practice Exams
2 Lectures
Time 00:04:52
Welcome
-
6:14
1. Welcome to the Course
Domain 1: LLM and AI Fundamentals
-
7:55
1. What AI Is and Why It Needs Governance
-
7:26
2. Types of AI Systems -- ML, DL, Generative, LLMs
-
7:51
3. Foundation Models and Multimodal AI
-
8:17
4. AI Model Training Paradigms
-
8:23
5. Inference Architectures and Agentic Extensions
Domain 1: AI Risk Taxonomy
-
7:49
1. Seven AI Risk Categories: Risk Officer
-
7:32
2. Likelihood, Impact, Inherent vs Residual
-
7:34
3. Risk Appetite, Tolerance, and Treatment
-
7:50
4. Risk Treatment Patterns: Four Options
-
7:54
5. Risk Aggregation, KRIs, and Cross-Domain
Domain 1: AI Ethics and Responsible Use
-
7:25
1. The Seven Responsible AI Principles
-
7:26
2. Fairness and Transparency Failures
-
7:32
3. Accountability and Harm Risks
-
8:06
4. Privacy, Autonomy, and Ethics Risk
Domain 1: AI Governance Principles
-
7:12
1. AI Governance Roles and Accountability
-
7:34
2. Three Lines of Defense for AI
-
7:09
3. AI Policy Hierarchy and Design
-
7:28
4. Governance Program Design
-
7:32
5. Governance Metrics and Program Maturity
Domain 1: AI Lifecycle
-
8:22
1. The Seven AI Lifecycle Stages
-
8:20
2. Stages 1-2: Framing and Data Risk
-
8:24
3. Stages 3-4: Development and Testing
-
8:24
4. Stages 5-6: Deployment and Monitoring
-
8:33
5. Stage 7: Lifecycle Risk Aggregation
Domain 1: AI Policy Development
-
6:33
1. AI Policy Hierarchy as Risk Treatment
-
6:58
2. Policy as Risk Treatment Design
-
6:57
3. AI Policy Types: Risk Domain Coverage
-
6:58
4. Training and Review as Risk Maintenance
Domain 1: Responsible AI AUP
-
7:13
1. The AI AUP as a Risk Control
-
7:19
2. AUP Content Design and Structure
-
7:29
3. Communication, Training, and Enforcement
-
7:31
4. AUP Incident Metrics and Reporting
Domain 1: AIGP D1 Capstone Scenario Labs
-
8:27
1. D1 Capstone: Ethics Committee Lab
-
9:04
2. D1 Capstone: Public Sector AI Policy
Domain 2: AI Privacy
-
9:10
1. GDPR Principles and Lawful Basis: Risk
-
7:08
2. Art 22 and DSRs: Governance and Risk
-
7:20
3. PbD and DPIAs: Program Integration
-
7:59
4. Cross-Border Transfers and US Laws: Risk
Domain 2: AI Regulatory Landscape
-
8:02
1. US Federal AI Obligations
-
7:39
2. Sector Regulations as Compliance Risk
-
8:01
3. Consumer Protection and Employment AI
-
7:50
4. International Frameworks and Program Design
Domain 2: EU AI Act
-
9:05
1. EU AI Act Risk Classification
-
8:43
2. Arts. 9 Through 15: Risk Control Map
-
8:40
3. Roles, GPAI, Timeline, and Penalty Tiers
Domain 2: NIST AI RMF
-
8:14
1. NIST AI RMF Overview
-
7:58
2. GOVERN: RMF Risk Foundations
-
8:22
3. MAP: Context and Risk Inventory
-
8:27
4. MEASURE: Risk Analysis Methods
-
8:38
5. MANAGE: Decisions and RMF Profile
Domain 2: ISO/IEC 42001
-
7:20
1. ISO/IEC 42001 as a Governance Framework
-
7:18
2. Clauses 4-7: Risk and Leadership
-
7:17
3. Operational Controls and Annex A
-
7:39
4. Evaluation, Improvement, and Crosswalks
Domain 2: AIGP D2 Capstone Scenario Labs
-
8:42
1. D2 Capstone: Cross-Border AI Governance
-
9:05
2. D2 Capstone: Multi-Framework Alignment
Domain 3: AI Transparency and XAI
-
7:02
1. NIST Definitions: Transparency and XAI
-
7:15
2. XAI Methods and Techniques
-
7:05
3. Regulatory Drivers for XAI
-
7:08
4. Governance Program Design
Domain 3: AI Bias and Fairness
-
7:30
1. AI Bias Taxonomy: Risk Map
-
7:12
2. Impossibility Constraint and Governance
-
7:35
3. Bias Detection and Mitigation
-
7:47
4. Legal Exposure by Sector
Domain 3: AI Data Governance and Lineage
-
6:54
1. Data Risk: Governance Roles and Register
-
7:36
2. Data Quality KRIs and Classification
-
6:53
3. Lineage as Risk Evidence and Attestation
-
7:33
4. Training Provenance and Third-Party Risk
-
7:46
5. Data Catalog, Retention, and Access Risk
Domain 3: AI Testing, Validation, and QA
-
6:59
1. The AI Testing Pyramid
-
7:17
2. Data Splitting and Leakage Risks
-
7:13
3. Performance Metrics by Task Type
-
7:33
4. Bias Testing, Red-Teaming, Monitoring
Domain 3: Model Risk Management
-
7:15
1. SR 11-7 and the MRM Framework
-
7:02
2. Model Inventory Design
-
7:18
3. Model Validation: SR 11-7 Pillar
-
7:24
4. AI-Specific MRM Challenges
-
7:49
5. MRM Governance: Lines and MRC
Domain 3: Human Oversight and HITL
-
7:05
1. Human-AI Control Spectrum: Four Modes
-
7:12
2. HITL Escalation Trigger Design
-
7:16
3. Oversight Mechanisms: Shadow + Override
-
7:24
4. Cognitive Failure Modes in Oversight
-
8:07
5. Regulatory Anchors for Human Oversight
Domain 3: AI Incident Response and BCP
-
7:32
1. AI Incident Response: Risk Lens
-
7:11
2. Detection, Analysis, Declaration
-
7:05
3. Containment and Recovery Execution
-
7:33
4. Regulatory Notification Obligations
-
7:32
5. Post-Incident BCP Recalibration
Domain 3: AIGP D3 Capstone Scenario Labs
-
9:32
1. D3 Capstone: AI Privacy Impact Lab
-
9:44
2. D3 Capstone: AI Compliance Program
Domain 4: AI Supply Chain and Vendor
-
7:55
1. AI Vendor Risk Lifecycle
-
7:16
2. Pre-Contract Vendor Due Diligence
-
7:01
3. AI Contract Requirements
-
7:51
4. EU AI Act: Supply Chain Assurance
Domain 4: AI Procurement and Due Diligence
-
7:21
1. Procurement as a Risk Gate
-
7:17
2. Vendor Risk Register and Assessment
-
7:29
3. RFP Risks, Evaluation Matrix, and POC
-
7:20
4. Procurement Governance and Due Diligence
-
7:29
5. Contract Clauses, Exit Risk, and Review
Domain 4: Change Management AI
-
8:16
1. Change as Risk Vector: ADKAR
-
8:39
2. Change Advisory Board Risk Role
-
8:14
3. Pre-Deployment Risk Gates
-
8:04
4. Rollback as Risk Treatment
-
8:51
5. Stakeholder Mapping for Change Risk
Domain 4: AI Risk Metrics and Reporting
-
7:24
1. KRI versus KPI: AI Risk Design
-
7:33
2. AI-Specific KRI Catalog
-
7:04
3. Reporting Tiers and Cadence
-
7:29
4. Escalation and Visualization Frameworks
Domain 4: AI Security Threats
-
8:01
1. AI Security Threats as Risk Events
-
8:07
2. Prompt Injection: Risk Treatment
-
8:13
3. Data Poisoning and Adversarial Risk
-
8:46
4. Extraction, Inversion, Supply Chain Risk
-
8:56
5. Defensive Controls as Risk Treatment
Domain 4: AI Trust and Safety
-
7:29
1. AI Trust, Safety, and Security
-
7:32
2. Hardcoded vs Softcoded Safety Controls
-
8:02
3. Safety-Critical Domains
-
7:34
4. Safety Failure Modes and Assurance
Domain 4: AIGP D4 Capstone Scenario Labs
-
9:23
1. D4 Capstone: AI Deployment Governance
-
9:31
2. D4 Capstone: Misuse and Deactivation
Domain 4: AIGP Practice Scenarios
-
7:12
1. D1/D2 Cross-Domain Exam Scenarios
-
7:08
2. D3/D4 Cross-Domain Exam Scenarios
Practice Exams
-
2:33
1. Before Your First Practice Exam
-
2:19
2. After First Practice Exam
About AIGP: Artificial Intelligence Governance Professional Certification Video Training Course
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- Premium File 222 Questions & Answers. Last update: Oct 03, 2026
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