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AIGP: Artificial Intelligence Governance Professional Certification Video Training Course

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  • 134 Students Enrolled
  • 124 Lectures
  • 15 Hours
  • 5.0 Rating
$27.49
$24.99

Curriculum For This Course

  • Welcome

    Video Name Time
    1. Welcome to the Course 6:14

  • Domain 1: LLM and AI Fundamentals

    Video Name 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

  • Domain 1: AI Risk Taxonomy

    Video Name 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

  • Domain 1: AI Ethics and Responsible Use

    Video Name 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

  • Domain 1: AI Governance Principles

    Video Name 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

  • Domain 1: AI Lifecycle

    Video Name 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

  • Domain 1: AI Policy Development

    Video Name 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

  • Domain 1: Responsible AI AUP

    Video Name 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

  • Domain 1: AIGP D1 Capstone Scenario Labs

    Video Name Time
    1. D1 Capstone: Ethics Committee Lab 8:27
    2. D1 Capstone: Public Sector AI Policy 9:04

  • Domain 2: AI Privacy

    Video Name 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

  • Domain 2: AI Regulatory Landscape

    Video Name 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

  • Domain 2: EU AI Act

    Video Name 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

  • Domain 2: NIST AI RMF

    Video Name 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

  • Domain 2: ISO/IEC 42001

    Video Name 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

  • Domain 2: AIGP D2 Capstone Scenario Labs

    Video Name Time
    1. D2 Capstone: Cross-Border AI Governance 8:42
    2. D2 Capstone: Multi-Framework Alignment 9:05

  • Domain 3: AI Transparency and XAI

    Video Name 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

  • Domain 3: AI Bias and Fairness

    Video Name 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

  • Domain 3: AI Data Governance and Lineage

    Video Name 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

  • Domain 3: AI Testing, Validation, and QA

    Video Name 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

  • Domain 3: Model Risk Management

    Video Name 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

  • Domain 3: Human Oversight and HITL

    Video Name 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

  • Domain 3: AI Incident Response and BCP

    Video Name 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

  • Domain 3: AIGP D3 Capstone Scenario Labs

    Video Name Time
    1. D3 Capstone: AI Privacy Impact Lab 9:32
    2. D3 Capstone: AI Compliance Program 9:44

  • Domain 4: AI Supply Chain and Vendor

    Video Name 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

  • Domain 4: AI Procurement and Due Diligence

    Video Name 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

  • Domain 4: Change Management AI

    Video Name 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

  • Domain 4: AI Risk Metrics and Reporting

    Video Name 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

  • Domain 4: AI Security Threats

    Video Name 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

  • Domain 4: AI Trust and Safety

    Video Name 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

  • Domain 4: AIGP D4 Capstone Scenario Labs

    Video Name Time
    1. D4 Capstone: AI Deployment Governance 9:23
    2. D4 Capstone: Misuse and Deactivation 9:31

  • Domain 4: AIGP Practice Scenarios

    Video Name Time
    1. D1/D2 Cross-Domain Exam Scenarios 7:12
    2. D3/D4 Cross-Domain Exam Scenarios 7:08

  • Practice Exams

    Video Name Time
    1. Before Your First Practice Exam 2:33
    2. After First Practice Exam 2:19

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