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Live online · ASEAN and GCC teams

Certified AI Governance Professional (CAIGP)

40 live hours to build practical AI governance capability.

SUNY Advanced Diploma for Chief AI Governance & Privacy Officer (SUNY Potsdam).

AIGP-aligned, OTP in progress.

Download ASEAN prospectusBook a Consultation

GCC teams: book a consultation for your regional prospectus.

Cohort 2 — tentative schedule

22 December 2026 to 9 February 2027.

Tuesday, Wednesday and Thursday, 7:30–10:30 PM MYT. Dates are tentative; confirm your team's schedule during consultation.

Programme director

Bharani Kumar Depuru · IAPP FIP / AIGP / CIPP/E · 21+ years of experience.

05Curriculum

A working programme for people who will be held to it

The CAGPO programme at a glance

Format
Live virtual, recorded
Workload
40 live hours
Time
11:30 AM – 3:30 PM IST · 2:00–6:00 PM MYT
Cohort
Board, C-suite and senior leaders
Award
SUNY Potsdam Advanced Diploma
Delivery
Live online for ASEAN and GCC teams

40 live hours covering the governance curriculum below, applied to your organisation's AI exposure.

01/ 08

The Executive Lens on AI

M1 · Session 1

Why traditional governance goes blind on AI, taught through this year’s real failures.

AIGP Domain IISO 42001 Cl. 4You build: AI inventory baseline

Simulation & lab

  • Incident teardown: the 2026 agent sandbox escape
  • Your organisation’s AI inventory, first pass

Topics covered

  • Board-level AI taxonomy: analytical, generative, agentic
  • Harm categories already in litigation
  • Why traditional governance fails with AI
  • India, ASEAN and EU regulatory context

02/ 08

Building the Governance Backbone

M2 · Session 2

Who owns the model, who approves the agent, and who can press stop.

AIGP Domain IISO 42001 Cl. 5You build: RACI matrix for AI decision rights

Simulation & lab

  • Build the RACI for AI decision rights
  • Kill-switch authority mapping

Topics covered

  • Decision rights from board to model owner
  • Developer–Deployer–User accountability chain
  • Cross-functional alignment: risk, legal, data, engineering
  • AI governance committee design

03/ 08

Future-Proofing Enterprise Policy

M3 · Session 3

Policy that survives vendors, shadow AI and cross-border data flows.

AIGP Domain IVISO 42001 Annex AYou build: Vendor AI risk evaluation process

Simulation & lab

  • Vendor AI due-diligence questionnaire
  • Agent permissions policy

Topics covered

  • Meaningful human oversight, including for agents
  • Third-party and vendor AI risk
  • Shadow AI and acceptable-use policy
  • Contract clauses that matter

04/ 08

The Privacy & Data Protection Battleground

M4 · Session 4

Consent and purpose when models repurpose data.

CIPPAIGP Domain IIYou build: Privacy impact assessment for one live AI system

Simulation & lab

  • DPIA-to-AIIA bridge
  • Consent flow review for an AI agent

Topics covered

  • DPDP Act & Rules, GDPR, PDPA side by side
  • Notice, consent, purpose limitation
  • Controller / processor obligations for AI
  • Special-category data and cross-border transfer

05/ 08

Sectoral Crossfire

M5 · Session 5

Where AI risk meets IP, discrimination, consumer and financial regulation.

AIGP Domain IIYou build: Sector-specific obligations register

Simulation & lab

  • Sector exposure scan
  • Synthetic-content labelling check

Topics covered

  • IP and copyright in training and outputs
  • Algorithmic discrimination
  • Synthetic media and deepfake labelling (IT Rules 2026)
  • RBI, SEBI and BFSI expectations

06/ 08

Decoding the EU AI Act

M6 · Session 6

Because it follows your customers, not your address.

AIGP Domain IIYou build: EU AI Act classification memo

Simulation & lab

  • Classify five of your own AI systems
  • Provider-or-deployer decision tree

Topics covered

  • Risk tiers and prohibited practices
  • Provider vs deployer; Article 25 reclassification
  • GPAI obligations and conformity
  • Penalties and enforcement timeline

07/ 08

Anchoring to Global Standards

M7 · Session 7

Harmonise the stack without audit fatigue.

ISO 42001 Cl. 6–10AIGP Domain IIYou build: Standards crosswalk & gap register

Simulation & lab

  • ISO 42001 gap assessment
  • Control crosswalk: ISO 42001 × NIST × EU AI Act

Topics covered

  • ISO/IEC 42001 AI management system
  • NIST AI RMF and OECD principles
  • Singapore, UAE, India and North Asia regimes
  • Which certificate means what

08/ 08

Governing the AI Lifecycle, End to End

M8 · Sessions 8–10

From design gate to responsible retirement, then defend it before a board.

AIGP Domains III–IVISO 42001 Cl. 8–10You build: AI Governance Charter + 90-Day Roadmap

Simulation & lab

  • S9: map your organisation’s full exposure
  • S10: defend your charter before a mock board

Topics covered

  • Design intent, data governance, deployment gates
  • Monitoring, drift and assurance
  • Incident response for wrong, convincing and acting AI
  • Audit readiness and retirement

07Simulation lab

Governance you can lose at

Playable simulations built by AiSPRY that adapt to the markets you select: India, Malaysia, Singapore, the Gulf or the EU.

GovernSim

Run a company for five rounds against rival teams. Every budget cut to governance raises the probability that your AI fails spectacularly later, and the market remembers.

Cascade

Three incidents land at once. You learn the hardest lesson in the field: each type of AI failure demands a different first move.

Fails by being wrong

Analytical AI — Drift, bias, silent degradation.

Fails by being convincing

Generative AI — Hallucination at scale, believed.

Fails by acting

Agentic AI — It doesn’t answer wrongly. It does the wrong thing.

Discuss your organisation's AI governance needs

Explore the SUNY Advanced Diploma and IAPP AIGP exam pathway with our team.

Book a Consultation
What stood out most was the programme's practical and structured approach to AI adoption. The industry-specific examples, combined with clear frameworks for evaluating feasibility and designing solutions, made the learning highly relevant to our business.
Royan Lewis · Commercial Manager, Bahwan IT
What stood out most was the trainer's simple way of explaining Data Science and GenAI, and showing us different AI tools that I had not used before. It made me realise how useful these tools can be in our daily work.
Mohd Sharil Bin Razali · Researcher, JPPH