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Curriculum for AIGP Certification Video Course
| Name of Video | Time |
|---|---|
![]() 1. Welcome to the Course |
6:14 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 1. D1 Capstone: Ethics Committee Lab |
8:27 |
![]() 2. D1 Capstone: Public Sector AI Policy |
9:04 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 1. D2 Capstone: Cross-Border AI Governance |
8:42 |
![]() 2. D2 Capstone: Multi-Framework Alignment |
9:05 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 1. D3 Capstone: AI Privacy Impact Lab |
9:32 |
![]() 2. D3 Capstone: AI Compliance Program |
9:44 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 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 |
| Name of Video | Time |
|---|---|
![]() 1. D4 Capstone: AI Deployment Governance |
9:23 |
![]() 2. D4 Capstone: Misuse and Deactivation |
9:31 |
| Name of Video | Time |
|---|---|
![]() 1. D1/D2 Cross-Domain Exam Scenarios |
7:12 |
![]() 2. D3/D4 Cross-Domain Exam Scenarios |
7:08 |
| Name of Video | Time |
|---|---|
![]() 1. Before Your First Practice Exam |
2:33 |
![]() 2. After First Practice Exam |
2:19 |
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IAPP AIGP Training Course
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