Curriculum
- 5 Sections
- 23 Lessons
- 1 Day
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- Foundations of AI and Data Governance5
- 1.1Evolution and rise of AI in enterprise settings
- 1.2Key concepts: AI lifecycle, model drift, data governance, fairness, bias
- 1.3Risks of ungoverned AI: regulatory, reputational, operational
- 1.4Explainability (XAI), Black-box AI, Ethical AI, Responsible AI
- 1.5Case Discussion: Data privacy lapses due to AI – GDPR vs AI
- Understanding ISO/IEC 42001 — The First AI Management System Standard5
- Risk, Compliance & Ethical Considerations in AI Systems5
- 3.1Algorithmic bias, transparency, accountability
- 3.2Regulatory frameworks: EU AI Act, India’s DPDP Act, US AI Executive Order
- 3.3Designing Responsible AI programs
- 3.4Case Based Learning: When a hiring algorithm went wrong – risk mitigation lessons
- 3.5Simulation Exercise: Risk assessment of a proposed AI-based automation system
- Operationalizing ISO/IEC 42001 — Tools, Templates, and Governance Frameworks5
- AI-Ready Enterprise: Roadmap, Maturity Models & Action Planning3