AIDU-REGU-303
Delivery Type: Live, instructor-led Remote or In person
Prerequisites: AI Foundations for Professionals, AI Safety
This course provides professionals with a rigorous, non-technical framework for understanding and operationalizing AI regulations in real organizational settings. Rather than treating regulation as a legal abstraction or checklist, it explains why AI regulation exists, what triggers regulatory obligations, and how those obligations translate into concrete organizational duties.
Participants learn how AI systems are regulated through risk classification, documentation, oversight, and enforcement, regardless of whether systems are built internally, purchased from vendors, or embedded into workflows. The course emphasizes regulatory structure, scope, and accountability, teaching participants how to interpret regulatory language, classify AI systems, identify obligations, and design internal processes that withstand audits and enforcement actions.
The focus is on regulatory readiness as an organizational capability, not compliance theater. Participants leave equipped to assess regulatory exposure, assign responsibility, and make defensible decisions about when AI use should proceed, be limited, or be avoided.
Core Topics:
Why governments regulate AI
What counts as an AI system under the law
Risk-based regulatory frameworks
Prohibited AI practices
High-risk AI systems and regulated domains
Organizational obligations for high-risk AI
Human oversight as a legal requirement
Transparency and disclosure requirements
Data governance obligations in AI regulation
Conformity assessments and pre-deployment checks
Post-deployment monitoring and incident reporting
Allocation of legal responsibility
Enforcement, penalties, and legal exposure
Cross-border regulation and jurisdiction
Regulatory readiness and organizational design
Outcomes:
Explain why AI is regulated differently from traditional software
Determine whether a system is legally considered AI
Classify AI systems under risk-based regulatory frameworks
Identify prohibited and restricted AI uses
Understand obligations triggered by high-risk designation
Map regulatory requirements to internal roles and processes
Design documentation, oversight, and monitoring workflows
Prepare for audits, investigations, and enforcement actions
Assess cross-border regulatory exposure
Recognize when AI use should be delayed, limited, or avoided
