Certified AI Governance Leader
A 2-day practicum for the people who have to decide, sign off, and stand in front of a board or a regulator. Earned as a portfolio, not a multiple-choice exam.
2 days
~10 hours in person
6
Graded hands-on labs
Portfolio
How certification is earned
Leader-level
CIO, CDO, CTO, CISO, GRC
Aligned to frameworks
40% off the release price. Delivered as a 2-day cohort practicum, in Bangalore or virtually.
Register for the CohortSee the CP9 Leadership TrackThis course includes
- 2 days in person, ~10 hours of content and labs
- 6 graded hands-on labs — none of them multiple choice
- A real artifact from every lab: memo, scorecard, redlined policy
- 60-minute certification assessment: applied judgment + a graded practical artifact
- Built on CyBe CP9 leadership content plus new AI-governance curriculum
- Covers NIST AI RMF, ISO/IEC 42001 & 23894, OECD, and the EU AI Act
What You’ll Learn
Skills You’ll Gain
Curriculum
2 modules · 19 lessons
- Modern AI Systems Primer — GenAI, RAG, LLMOps, Agents, LAMPreview25 min
- Trustworthy AI Principles — bias, fairness, explainability, transparency, oversight25 min
- LAB — Bias & Fairness Audit: CyBeX HR Screening Decision Log45 min
- AI Risk Management Frameworks — NIST AI RMF, ISO/IEC 42001 & 23894, OECD30 min
- Global AI Regulatory Landscape — EU AI Act, US state laws, India, China30 min
- LAB — AI Model Risk-Tiering Exercise: CyBeX AI Use-Case Register35 min
- Shadow AI Reckoning — AI Tool Register, 5-Pillar AUP, EU AI Act mapping25 min
- LAB — Shadow AI Discovery Hunt: proxy logs, expenses, amnesty interviews25 min
- LAB — Data Poisoning / Garbage-In Hunt: CyBeX fraud-model retrain dataset60 min
Upcoming cohort dates
Three cohorts, each a full run of the programme — pick whichever weekend suits. Sessions run 11:00–16:00 and can be attended in Bangalore or joined virtually.
Cohort 1
Bangalore / Virtual
- 1Sat 21 NovDay 1 · 11:00–16:00
- 2Sun 22 NovDay 2 · 11:00–16:00
Cohort 2
Bangalore / Virtual
- 1Sat 12 DecDay 1 · 11:00–16:00
- 2Sun 13 DecDay 2 · 11:00–16:00
Cohort 3
Bangalore / Virtual
- 1Fri 9 JanDay 1 · 11:00–16:00
- 2Sat 10 JanDay 2 · 11:00–16:00
- 3Sun 11 JanDay 3 · 11:00–16:00
Running a cohort for your own leadership team? The programme is also delivered privately on a date of your choosing.
What backs this up
The specifics behind the claims on this page. Open any of them for the detail.
Bias & Fairness Audit
Audit an HR screening decision log and compute the approval-rate disparity that evidences the bias.
AI Model Risk-Tiering
Tier a use-case register against EU AI Act tiers and the NIST AI RMF functions.
Shadow AI Discovery Hunt
Find unapproved AI in the estate from proxy logs, expense exports and amnesty interviews.
Data Poisoning Hunt
Inspect a vendor-supplied retrain dataset and decide whether it is safe to train on.
Model Card Audit
Audit a credit-risk model card against a documentation standard and redline what is missing.
AI Security War Room
Run an AI security incident live, under time pressure, as a governance decision-maker.
- Risk
NIST AI RMF
Govern, Map, Measure and Manage used as the spine of the governance audit.
- Standards
ISO/IEC 42001 and 23894
AI management systems and AI risk guidance.
- Regulation
EU AI Act, OECD AI Principles
Risk tiering and obligations, plus the wider international baseline.
- Advisory
Reviewed by practising security and governance leaders
The full roster, with roles and organisations, is listed at /course-advisors.
- Audience
CIO, CDO, CTO, CISO, GRC leads and techno-legal counsel
Built for decision-makers rather than for implementers.
Who Should Attend
Executive Decision-Makers
CIO, CDO, CTO and CISO — the people who actually sign off on AI systems and answer for them in front of a board or a regulator.
GRC & Privacy Leads
GRC leads, Data Protection Officers and techno-legal counsel who own the governance framework, the vendor gate, and the regulatory response.
Product & Architecture Leads
Product Managers and Enterprise or Security Architects who decide what gets built, what gets bought, and what controls ship with it.
How You’ll Be Certified
Do the Work
Six graded hands-on labs across the two days. Each one hands you a realistic artifact — a dataset, a policy draft, a vendor questionnaire — and requires you to find something wrong in it before you can move on. None are pass/fail on multiple choice alone.
6 graded labs · 5 newly authored for CAIGL
Produce the Artifacts
Every lab produces a deliverable that gets scored: a fairness-metrics memo, a tiered use-case register, a data-integrity report, a redlined model card, a vendor risk scorecard, and a board-ready findings memo.
One graded deliverable per lab
Sit the Assessment
A closing 60-minute assessment combining short applied-judgment scenarios — each one a decision a governance leader actually has to make, not recall trivia — with one graded practical artifact submitted for scoring.
60 min · Day 2 afternoon
Certify
Certification is awarded on cumulative performance across the six lab deliverables plus the closing assessment — not on the assessment alone. You earn it as a portfolio of work, the way the job is actually done.
Portfolio-based certification
Frameworks and standards aligned with
CAIGL is a portfolio-assessed credential in its own right. The curriculum teaches and applies these frameworks directly — every lab artifact is produced against one of them, so the governance vocabulary you leave with is the one auditors and regulators already use.
| Body | Framework / standard | Why it matters |
|---|---|---|
| NIST | NIST AI Risk Management Framework NIST AI RMF | Govern, Map, Measure and Manage used as the spine of the governance audit. |
| ISO/IEC | ISO/IEC 42001 ISO 42001 | AI management systems — the certifiable standard organisations are audited against. |
| ISO/IEC | ISO/IEC 23894 ISO 23894 | AI risk management guidance, applied alongside 42001 in the labs. |
| European Union | EU AI Act | Risk tiering and obligations, used directly in the use-case register lab. |
| OECD | OECD AI Principles OECD | The trustworthy-AI baseline most national AI policies are built on. |
NIST AI Risk Management Framework
Govern, Map, Measure and Manage used as the spine of the governance audit.
ISO/IEC 42001
AI management systems — the certifiable standard organisations are audited against.
ISO/IEC 23894
AI risk management guidance, applied alongside 42001 in the labs.
EU AI Act
Risk tiering and obligations, used directly in the use-case register lab.
OECD AI Principles
The trustworthy-AI baseline most national AI policies are built on.
Faculty for This Course
Satyavathi Divadari
CEO & Founder · CyBe Global / CSA Bangalore
Madhukeshwar Bhat
Academia Advisor · CSA Bangalore Chapter
Course Advisors
Practising security leaders who review this curriculum and keep it current.
Amod Suresh Puranik
Director – Head Data & AI Security · Virtusa Corp
Ashwini Siddhi
Co-Founder & CEO · Securacy.AI
Dr Ram Kumar G
Cyber Security and Risk Leader · Volvo Group
Sai Lakshmi Sathyanarayana
Partner, Cyber Leader · EY GDS
What Learners Say
“This was different learning experience all together. So much fun and so much to learn. The energy was continuously high to know what’s next. Not just regular content but every time something new and different. I recommend this learning methodology to every learner.”
Pravinkumar Jha
Head of Product and Cloud Security
“That sounds like such a refreshing change from usual conferences. Learning through music and teamwork really makes complex concepts stick in a fun way.”
Rohan Pinto
CTO and Founder, 1Kosmos