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Official Curriculum Brochure
A foundational program equipping professionals to identify AI risks, apply ethical principles, protect privacy, reduce bias, improve transparency and implement AI governance. It is aligned with Microsoft Responsible AI, NIST AI RMF, ISO/IEC 42001, OECD AI Principles and emerging regulations.
Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.
Why Responsible AI matters and how it creates enterprise value.
Fairness, accountability, transparency, privacy, safety and inclusiveness.
Business, legal, ethical, operational, cyber and reputational risks.
Detect and mitigate bias; improve explainability, traceability and user trust.
Data governance, consent, privacy controls, prompt injection defense and data leakage prevention.
Governance roles, human-in-the-loop review and decision accountability.
Policies, standards, controls; NIST AI RMF, ISO/IEC 42001, OECD AI Principles, Microsoft Responsible AI and emerging AI regulations.
Conduct AI impact assessments and risk evaluations.
Vendor evaluation, procurement, contracts; safe prompting and prompt security.
Embed Responsible AI into strategy and culture; monitor incidents and drift; design a Responsible AI implementation plan.
Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.