AAIA Course #10: The AI/ML Lifecycle and MLOps for Auditors
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AAIA Course #10: The AI/ML Lifecycle and MLOps for Auditors
6 просмотров · 2 дня назад
StackLessons
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6 просмотров · 2 дня назад
Master the six-stage ML lifecycle as a chain of control checkpoints—and learn why a mature model registry is what makes an AI system auditable at all. This deep-dive covers versioning, CI/CD governance, deployment strategies, rollback readiness, and monitoring controls that separate disciplined MLOps from ad-hoc engineering. You'll understand the critical gaps Meridian's auditors found in their fraud model, and why a stable KPI can hide data or concept drift. Essential for AAIA candidates tackling Domain 2 AI Operations scenarios.
What You'll Learn
This video walks the operational backbone of auditable AI systems. You'll learn to read each lifecycle stage as an audit checkpoint, not an engineering step—and to recognize when MLOps discipline is missing. Understand why experiment trackers and model registries are not the same, how CI/CD enforces governance automatically, and why rollback readiness must be tested, not assumed.
Key Topics
• The six-stage ML lifecycle: data acquisition, development, validation, deployment, monitoring, decommissioning
• Model registries and versioning as immutable systems of record
• CI/CD pipelines and deployment strategies (blue-green, canary, rolling) as evidence trails
• Data drift vs. concept drift—two separate monitoring controls
• Rollback as a control, not a feature: testing and evidence requirements
• Privacy-by-design across every lifecycle stage
• Reconstructing audit evidence when MLOps discipline is absent
Chapters
0:00 Introduction
2:14 What Auditors Found: The Missing Paper Trail
5:34 The Six-Stage Lifecycle as Control Checkpoints
8:44 The Model Registry: Your System of Record
11:13 CI/CD, Versioning, and Automated Governance
12:34 Deployment Strategies and Rollback Readiness
15:19 Monitoring Controls: Why a Green Dashboard Can Lie
18:03 The Cost of Missing MLOps Discipline
20:44 Privacy-by-Design and Silent Retirement
22:12 Key Takeaways for Domain 2
Resources
🔗 ISACA AAIA Certification: https://www.isaca.org/credentialing/aaia
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#ISACA #AAIA #AIAudit
📌 Chapters
0:00 Introduction
2:14 What Auditors Found: The Missing Paper Trail
5:34 The Six-Stage Lifecycle as Control Checkpoints
8:44 The Model Registry: Your System of Record
11:13 CI/CD, Versioning, and Automated Governance
12:34 Deployment Strategies and Rollback Readiness
15:19 Monitoring Controls: Why a Green Dashboard Can Lie
18:03 The Cost of Missing MLOps Discipline
20:44 Privacy-by-Design and Silent Retirement
22:12 Key Takeaways for Domain 2
#ISACA #AAIA #MLOps