Description

AI governance is becoming one of the most important career skills of the next 5 years.

The data makes the case:

• 77% of organizations across 45+ countries are already working on AI governance, and that rises to ~90% among organizations already using AI. (Source: IAPP AI Governance Profession Report)
• Yet only 26% have comprehensive AI security governance policies. (Source: Cloud Security Alliance / Google Cloud)
• 23.5% of AI governance professionals say finding qualified AI talent is a key barrier, and only 1.5% expect they will not need additional staff in the next 12 months. (Source: IAPP AI Governance Profession Report)
• Demand is shifting fast: 78% of ICT roles now include AI technical skills, while demand for AI governance skills is up 150% and AI ethics skills is up 125%. (Source: Cisco Newsroom)
• 53% of countries now have an AI literacy framework, but only 29% have labor protection frameworks for AI-related change. (Source: Global Index on Responsible AI)

The message is simple: AI is scaling faster than governance capability.

That is why upskilling in AI governance is no longer optional. It is the difference between:
• moving fast and breaking trust,
• adopting AI and controlling AI,
• being exposed to risk and being ready for it.

For leaders, teams, and professionals across legal, policy, risk, compliance, security, HR, product, and operations, AI governance is becoming the skill that defines credibility.
The next 5 years will belong to people who can turn AI into accountability, safety, and trust.

How the exercises are different
• They mirror the actual work of setting up an AI governance function inside an organization.
• They focus on real outputs, not just discussion: policies, templates, assessments, registers, evidence, and decision records.
• They build confidence by showing participants how to think through messy real-world situations involving risk, ownership, documentation, and escalation.
• They help participants leave with a repeatable method they can apply immediately in their own organizations.

Batch Dates (Individual Dates)

About the Trainer:
 

‘Trainer Profile Prasad-Kamath’

Certification Provided?

Yes.
Candidate prepared for IAPP AIGP exam
The course is structured to align closely with the IAPP (International Association of Privacy Professionals) AIGP (AI Governance Professional) Body of Knowledge, while keeping the learning practical and implementation-focused. Participants gain strong conceptual coverage, repeated application through scenarios, and a clear view of how the major AIGP domains connect in practice. It is an excellent preparation course for the exam, especially when combined with independent review and practice questions.

Outcome: participants leave with the confidence to begin or strengthen an AI governance program, speak credibly with business and technical teams, and support implementation and assurance activities in the real world.

This is a practical masterclass for people who want AI governance to work in the organization – not remain a slide deck. It combines strong AIGP exam alignment with hands-on implementation exercises so participants can build real capability, real artifacts, and real confidence.

Who should do the course:

This class is ideal for those with implementation responsibilities.

• AI governance, risk, compliance, privacy, security, legal, audit, assurance, project/program/portfolio managers, and PMO professionals
• Product, data, analytics, and technology leaders involved in AI use cases
• Business owners and managers responsible for implementing AI safely and effectively
• Professionals preparing for the IAPP AIGP certification exam
• Explain and structure an AI governance program that is practical, risk-aware, and aligned to business goals
• Design the core policies, roles, processes, and controls needed for AI oversight across the lifecycle
• Assess AI use cases, vendors, data, deployment patterns, and operational risks with confidence
• Produce implementation artifacts such as intake forms, risk registers, monitoring plans, and assurance evidence
• Build a strong foundation for AIGP exam readiness through structured coverage of the BoK (Body of Knowledge) concepts and applied scenarios

Any Pre-requisites for the course:

Should have a business understanding of the SME functioning, with exposure to financial statements, which include balance sheet, Profit & Loss, Cash Flows, trade receipts, UPI transaction-based income, credit card income, etc.

Course Curriculum: