AI Governance & Responsible AI — ISO/IEC 42001
capability building,
designed for your organisation.
A custom-built corporate programme for compliance officers, risk officers, internal auditors, data protection officers, AI governance committee members, CISO/CIO leadership, and senior consultants advising organisations on AI governance. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- EU AI Act: high-risk system obligations, GPAI obligations, timeline of enforcement
- India DPDP Act 2023 + emerging Digital India Act provisions for AI
- Sectoral overlays: BFSI (RBI/SEBI), healthcare (DGFT), telecom (TRAI)
- Why ISO/IEC 42001 has become the de facto enterprise AI management standard
Want the full module-by-module syllabus, sample assignments, and pricing?
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Demonstrable skills your team will apply on live projects.
Implement ISO/IEC 42001 AI Management System
Clause-by-clause: context, leadership, planning, support, operation, evaluation, improvement — with evidence.
Map AI governance across frameworks
Integrated view across ISO 42001, ISO 27001, NIST AI RMF, EU AI Act, DPDP Act.
Design AI risk management for the organisation
Risk taxonomy, scoring methodology, control design, monitoring cadence.
Pass GSDC ISO 42001 Lead Implementer
Two attempts; cohort first-attempt pass rate 85%.
Lead AI governance for your organisation
Equipped to chair AI governance committee, run audit-readiness, advise board on AI exposure.
Build a regulatory consulting capability
Consultants leave equipped to advise client organisations on AI governance and certification path.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Aware ISO/IEC 42001 exists but unclear on its structure, requirements, or implementation path
- ·Limited understanding of how ISO 42001 relates to ISO 27001, NIST AI RMF, EU AI Act
- ·No working framework for AI risk management beyond generic IT risk practices
- ·Cannot translate AI governance principles into operational policies, procedures, and controls
- ·Limited fluency with regulatory landscape: EU AI Act, India DPDP Act, US sectoral, China
- ·No audit-readiness experience for AI systems — gap analysis, evidence collection, certification path
Where they'll arrive
- ✓ISO/IEC 42001 implementation — designs and deploys an AI Management System against the standard's clauses
- ✓Multi-framework fluency — maps ISO 42001 ↔ ISO 27001 ↔ NIST AI RMF ↔ EU AI Act for integrated governance
- ✓AI risk management — applies model risk, data risk, operational risk, ethics risk frameworks to real AI systems
- ✓Policy and procedure design — drafts AI policies, procedures, and controls that survive audit
- ✓Audit-readiness — conducts gap analyses, prepares evidence, manages internal and external audits
- ✓GSDC ISO 42001 Lead Implementer credential — globally recognised governance specialist credential
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
ISO/IEC 42001 is focused on building and improving an Artificial Intelligence Management System for responsible AI development, deployment, monitoring, risk management, transparency, and governance. ISO/IEC 27001 is focused on an Information Security Management System for managing information security risks, confidentiality, integrity, and availability. In simple terms, ISO 27001 protects information; ISO 42001 governs how AI systems are built and used responsibly.