📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI Compliance and Regulatory Risk Management, from foundations to a certified capstone project.
Outline
Exploring the EU AI Act and its implications • Understanding OECD AI Principles and NIST AI RMF • Identifying sector-specific guidelines for AI compliance
Outline
Assessing bias and transparency in AI systems • Evaluating data privacy and accountability in AI • Identifying algorithmic harm and explainability concerns
Outline
Creating AI audits and impact assessments • Developing compliance lifecycle checklists • Implementing robust AI governance systems
Outline
Preparing for the EU AI Act and US Executive Order on AI • Understanding the implications of emerging regulations • Developing strategies for compliance and risk mitigation
Outline
Designing audit-ready AI pipelines • Implementing data privacy and security measures • Ensuring transparency and explainability in AI decision-making
Outline
Balancing innovation with public interest and legal obligations • Managing brand trust and reputation in AI development • Developing strategies for responsible AI innovation
Earn government-registered certification in AI Compliance and Regulatory Risk Management
e-Certificate and e-Marksheet issued on successful completion.
