Curriculum For This Course
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Course Orientation
2 Lectures Time 00:31:35 -
Foundations of AI - Understand What we are trying to Protect - Optional Module
13 Lectures Time 03:50:56 -
Domain 1: AI Governance and Program Management (31%)
13 Lectures Time 03:50:20 -
Domain 2: AI Risk Management (31%)
11 Lectures Time 02:52:17 -
Domain 3: AI Technologies and Controls (38%)
15 Lectures Time 04:10:41 -
Final Section
3 Lectures Time 00:43:58
Video tutorials list
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Course Orientation
Video Name Time 1. Welcome to Cyvitrix's AAISM Training 13:18 2. Understanding the Importance of AI Governance 18:17 -
Foundations of AI - Understand What we are trying to Protect - Optional Module
Video Name Time 1. Introduction to AI Foundations 13:25 2. Artificial Intelligence and Machine Learning Basics 21:55 3. AI Governance, Accountability, and Transparency 18:17 4. Accuracy, Reliability, and Robustness 17:37 5. Learning Approaches in AI 17:22 6. Advanced Training Techniques and Models 16:34 7. Adversarial Attacks and AI Vulnerabilities 17:26 8. Bias, Fairness, and Ethical Challenges 15:01 9. AI Assurance, Audits, and Impact Assessments 18:06 10. Explainability, Interpretability, and Human Oversight 17:33 11. Data Quality, Provenance, and Lifecycle Risks 16:45 12. Synthetic Data, Training Data, and Validation Data 15:44 13. Foundations Recap – Universal AI Governance Terms 25:11 -
Domain 1: AI Governance and Program Management (31%)
Video Name Time 1. Domain 1 Overview – Building Foundations 15:32 2. Stakeholders in AI Governance 19:21 3. Industry AI Frameworks and Standards 15:36 4. Global Regulatory Landscape for AI 18:21 5. Developing AI Strategies for the Enterprise 19:57 6. Creating AI Policies and Procedures 15:14 7. AI Asset Identification and Classification 15:36 8. AI Data Governance and Life Cycle Management 18:36 9. Developing AI Security Programs 18:39 10. Defining Metrics and Monitoring AI Security 21:29 11. Business Continuity in AI-Enabled Enterprises 14:49 12. Incident Response for AI Systems 15:42 13. Domain 1 Recap – Governance, Policy, and Continuity 21:28 -
Domain 2: AI Risk Management (31%)
Video Name Time 1. Domain 2 Introduction – Managing AI Risks 13:31 2. Foundations of AI Risk Management 15:00 3. Conducting AI Risk Assessments 13:45 4. Risk Thresholds and Tolerances in AI 15:46 5. AI Risk Treatment Strategies 16:21 6. Understanding the AI Threat Landscape 15:25 7. Vulnerability Management for AI Systems 13:46 8. AI Impact Assessments 18:01 9. Vendor Risks in AI Solutions 15:28 10. AI Supply Chain Security 22:11 11. Domain 2 Recap – Risk Management Essentials 13:03 -
Domain 3: AI Technologies and Controls (38%)
Video Name Time 1. Domain 3 Introduction – Technical Mastery of AI Controls 18:12 2. AI Security Architecture Fundamentals 17:20 3. Designing Secure AI Systems 15:41 4. Integrating AI into Enterprise Architecture 19:22 5. Technical AI Strategies and Implementation Policies 14:05 6. AI Data Risks and Protection Strategies 15:19 7. Data Lineage, Traceability, and Auditability 16:36 8. Privacy in AI Systems 15:38 9. Ethics and Trust in AI 19:50 10. Safety Controls for AI Outputs 14:05 11. Monitoring AI Bias and Robustness 16:46 12. Designing AI Security Controls 15:36 13. Continuous Monitoring for AI Systems 16:04 14. Measuring AI Security Effectiveness 17:07 15. Domain 3 Recap – AI Technologies and Controls in Action 19:00 -
Final Section
Video Name Time 1. Full Course Recap – Linking Governance, Risk, and Controls 14:50 2. The Future of AI Governance and Security 15:28 3. Thank You and Next Steps 13:40
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