AIGP: Artificial Intelligence Governance Professional Exam – Complete Certification Training Course & Exam Dumps

Curriculum For This Course

Welcome

1Lectures

Time 00:06:14

Domain 1: LLM and AI Fundamentals

5Lectures

Time 00:39:52

Domain 1: AI Risk Taxonomy

5Lectures

Time 00:38:39

Domain 1: AI Ethics and Responsible Use

4Lectures

Time 00:30:29

Domain 1: AI Governance Principles

5Lectures

Time 00:36:55

Domain 1: AI Lifecycle

5Lectures

Time 00:42:03

Domain 1: AI Policy Development

4Lectures

Time 00:27:26

Domain 1: Responsible AI AUP

4Lectures

Time 00:29:32

Domain 1: AIGP D1 Capstone Scenario Labs

2Lectures

Time 00:17:31

Domain 2: AI Privacy

4Lectures

Time 00:31:37

Domain 2: AI Regulatory Landscape

4Lectures

Time 00:31:32

Domain 2: EU AI Act

3Lectures

Time 00:26:28

Domain 2: NIST AI RMF

5Lectures

Time 00:41:39

Domain 2: ISO/IEC 42001

4Lectures

Time 00:29:34

Domain 2: AIGP D2 Capstone Scenario Labs

2Lectures

Time 00:17:47

Domain 3: AI Transparency and XAI

4Lectures

Time 00:28:30

Domain 3: AI Bias and Fairness

4Lectures

Time 00:30:04

Domain 3: AI Data Governance and Lineage

5Lectures

Time 00:36:42

Domain 3: AI Testing, Validation, and QA

4Lectures

Time 00:29:02

Domain 3: Model Risk Management

5Lectures

Time 00:36:48

Domain 3: Human Oversight and HITL

5Lectures

Time 00:37:04

Domain 3: AI Incident Response and BCP

5Lectures

Time 00:36:53

Domain 3: AIGP D3 Capstone Scenario Labs

2Lectures

Time 00:19:16

Domain 4: AI Supply Chain and Vendor

4Lectures

Time 00:30:03

Domain 4: AI Procurement and Due Diligence

5Lectures

Time 00:36:56

Domain 4: Change Management AI

5Lectures

Time 00:42:04

Domain 4: AI Risk Metrics and Reporting

4Lectures

Time 00:29:30

Domain 4: AI Security Threats

5Lectures

Time 00:42:03

Domain 4: AI Trust and Safety

4Lectures

Time 00:30:37

Domain 4: AIGP D4 Capstone Scenario Labs

2Lectures

Time 00:18:54

Domain 4: AIGP Practice Scenarios

2Lectures

Time 00:14:20

Practice Exams

2Lectures

Time 00:04:52

Welcome
	1. Welcome to the Course	6:14

Domain 1: LLM and AI Fundamentals
	1. What AI Is and Why It Needs Governance	7:55
	2. Types of AI Systems -- ML, DL, Generative, LLMs	7:26
	3. Foundation Models and Multimodal AI	7:51
	4. AI Model Training Paradigms	8:17
	5. Inference Architectures and Agentic Extensions	8:23

Domain 1: AI Risk Taxonomy
	1. Seven AI Risk Categories: Risk Officer	7:49
	2. Likelihood, Impact, Inherent vs Residual	7:32
	3. Risk Appetite, Tolerance, and Treatment	7:34
	4. Risk Treatment Patterns: Four Options	7:50
	5. Risk Aggregation, KRIs, and Cross-Domain	7:54

Domain 1: AI Ethics and Responsible Use
	1. The Seven Responsible AI Principles	7:25
	2. Fairness and Transparency Failures	7:26
	3. Accountability and Harm Risks	7:32
	4. Privacy, Autonomy, and Ethics Risk	8:06

Domain 1: AI Governance Principles
	1. AI Governance Roles and Accountability	7:12
	2. Three Lines of Defense for AI	7:34
	3. AI Policy Hierarchy and Design	7:09
	4. Governance Program Design	7:28
	5. Governance Metrics and Program Maturity	7:32

Domain 1: AI Lifecycle
	1. The Seven AI Lifecycle Stages	8:22
	2. Stages 1-2: Framing and Data Risk	8:20
	3. Stages 3-4: Development and Testing	8:24
	4. Stages 5-6: Deployment and Monitoring	8:24
	5. Stage 7: Lifecycle Risk Aggregation	8:33

Domain 1: AI Policy Development
	1. AI Policy Hierarchy as Risk Treatment	6:33
	2. Policy as Risk Treatment Design	6:58
	3. AI Policy Types: Risk Domain Coverage	6:57
	4. Training and Review as Risk Maintenance	6:58

Domain 1: Responsible AI AUP
	1. The AI AUP as a Risk Control	7:13
	2. AUP Content Design and Structure	7:19
	3. Communication, Training, and Enforcement	7:29
	4. AUP Incident Metrics and Reporting	7:31

Domain 1: AIGP D1 Capstone Scenario Labs
	1. D1 Capstone: Ethics Committee Lab	8:27
	2. D1 Capstone: Public Sector AI Policy	9:04

Domain 2: AI Privacy
	1. GDPR Principles and Lawful Basis: Risk	9:10
	2. Art 22 and DSRs: Governance and Risk	7:08
	3. PbD and DPIAs: Program Integration	7:20
	4. Cross-Border Transfers and US Laws: Risk	7:59

Domain 2: AI Regulatory Landscape
	1. US Federal AI Obligations	8:02
	2. Sector Regulations as Compliance Risk	7:39
	3. Consumer Protection and Employment AI	8:01
	4. International Frameworks and Program Design	7:50

Domain 2: EU AI Act
	1. EU AI Act Risk Classification	9:05
	2. Arts. 9 Through 15: Risk Control Map	8:43
	3. Roles, GPAI, Timeline, and Penalty Tiers	8:40

Domain 2: NIST AI RMF
	1. NIST AI RMF Overview	8:14
	2. GOVERN: RMF Risk Foundations	7:58
	3. MAP: Context and Risk Inventory	8:22
	4. MEASURE: Risk Analysis Methods	8:27
	5. MANAGE: Decisions and RMF Profile	8:38

Domain 2: ISO/IEC 42001
	1. ISO/IEC 42001 as a Governance Framework	7:20
	2. Clauses 4-7: Risk and Leadership	7:18
	3. Operational Controls and Annex A	7:17
	4. Evaluation, Improvement, and Crosswalks	7:39

Domain 2: AIGP D2 Capstone Scenario Labs
	1. D2 Capstone: Cross-Border AI Governance	8:42
	2. D2 Capstone: Multi-Framework Alignment	9:05

Domain 3: AI Transparency and XAI
	1. NIST Definitions: Transparency and XAI	7:02
	2. XAI Methods and Techniques	7:15
	3. Regulatory Drivers for XAI	7:05
	4. Governance Program Design	7:08

Domain 3: AI Bias and Fairness
	1. AI Bias Taxonomy: Risk Map	7:30
	2. Impossibility Constraint and Governance	7:12
	3. Bias Detection and Mitigation	7:35
	4. Legal Exposure by Sector	7:47

Domain 3: AI Data Governance and Lineage
	1. Data Risk: Governance Roles and Register	6:54
	2. Data Quality KRIs and Classification	7:36
	3. Lineage as Risk Evidence and Attestation	6:53
	4. Training Provenance and Third-Party Risk	7:33
	5. Data Catalog, Retention, and Access Risk	7:46

Domain 3: AI Testing, Validation, and QA
	1. The AI Testing Pyramid	6:59
	2. Data Splitting and Leakage Risks	7:17
	3. Performance Metrics by Task Type	7:13
	4. Bias Testing, Red-Teaming, Monitoring	7:33

Domain 3: Model Risk Management
	1. SR 11-7 and the MRM Framework	7:15
	2. Model Inventory Design	7:02
	3. Model Validation: SR 11-7 Pillar	7:18
	4. AI-Specific MRM Challenges	7:24
	5. MRM Governance: Lines and MRC	7:49

Domain 3: Human Oversight and HITL
	1. Human-AI Control Spectrum: Four Modes	7:05
	2. HITL Escalation Trigger Design	7:12
	3. Oversight Mechanisms: Shadow + Override	7:16
	4. Cognitive Failure Modes in Oversight	7:24
	5. Regulatory Anchors for Human Oversight	8:07

Domain 3: AI Incident Response and BCP
	1. AI Incident Response: Risk Lens	7:32
	2. Detection, Analysis, Declaration	7:11
	3. Containment and Recovery Execution	7:05
	4. Regulatory Notification Obligations	7:33
	5. Post-Incident BCP Recalibration	7:32

Domain 3: AIGP D3 Capstone Scenario Labs
	1. D3 Capstone: AI Privacy Impact Lab	9:32
	2. D3 Capstone: AI Compliance Program	9:44

Domain 4: AI Supply Chain and Vendor
	1. AI Vendor Risk Lifecycle	7:55
	2. Pre-Contract Vendor Due Diligence	7:16
	3. AI Contract Requirements	7:01
	4. EU AI Act: Supply Chain Assurance	7:51

Domain 4: AI Procurement and Due Diligence
	1. Procurement as a Risk Gate	7:21
	2. Vendor Risk Register and Assessment	7:17
	3. RFP Risks, Evaluation Matrix, and POC	7:29
	4. Procurement Governance and Due Diligence	7:20
	5. Contract Clauses, Exit Risk, and Review	7:29

Domain 4: Change Management AI
	1. Change as Risk Vector: ADKAR	8:16
	2. Change Advisory Board Risk Role	8:39
	3. Pre-Deployment Risk Gates	8:14
	4. Rollback as Risk Treatment	8:04
	5. Stakeholder Mapping for Change Risk	8:51

Domain 4: AI Risk Metrics and Reporting
	1. KRI versus KPI: AI Risk Design	7:24
	2. AI-Specific KRI Catalog	7:33
	3. Reporting Tiers and Cadence	7:04
	4. Escalation and Visualization Frameworks	7:29

Domain 4: AI Security Threats
	1. AI Security Threats as Risk Events	8:01
	2. Prompt Injection: Risk Treatment	8:07
	3. Data Poisoning and Adversarial Risk	8:13
	4. Extraction, Inversion, Supply Chain Risk	8:46
	5. Defensive Controls as Risk Treatment	8:56

Domain 4: AI Trust and Safety
	1. AI Trust, Safety, and Security	7:29
	2. Hardcoded vs Softcoded Safety Controls	7:32
	3. Safety-Critical Domains	8:02
	4. Safety Failure Modes and Assurance	7:34

Domain 4: AIGP D4 Capstone Scenario Labs
	1. D4 Capstone: AI Deployment Governance	9:23
	2. D4 Capstone: Misuse and Deactivation	9:31

Domain 4: AIGP Practice Scenarios
	1. D1/D2 Cross-Domain Exam Scenarios	7:12
	2. D3/D4 Cross-Domain Exam Scenarios	7:08

Practice Exams
	1. Before Your First Practice Exam	2:33
	2. After First Practice Exam	2:19

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AIGP: Artificial Intelligence Governance Professional

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