Boost
Boost

Certified Governance Professional & Certificate in AI Governance

ARG-3435

Course Code

5 Days

Duration

4

Upcoming Dates

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Sector Name

Audit, Risk and Governance

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21 Dec 2026 | 25 Dec 2026
Amsterdam, Netherlands
$4,950
Limited Seats
21 Mar 2027 | 25 Mar 2027
Manama, Bahrain
$4,250
Upcoming
27 Sept 2027 | 01 Oct 2027
Abu Dhabi, UAE
$4,250
Upcoming
11 Oct 2027 | 15 Oct 2027
Abu Dhabi, UAE
$4,250
Upcoming

Course Introduction

In today’s complex and rapidly evolving business landscape, effective governance has become a cornerstone for organizational success, accountability, and sustainability. At the same time, the rise of Artificial Intelligence (AI) is reshaping how decisions are made, how risks are managed, and how value is created across industries. This dual transformation requires professionals who not only understand governance frameworks but can also navigate the unique challenges and opportunities introduced by AI technologies.

 

This program, developed by Boost Consulting and Training, is designed to equip participants with advanced knowledge and practical skills in corporate governance while integrating modern concepts of AI governance. It provides a comprehensive understanding of governance structures, policies, and best practices, alongside emerging frameworks for managing AI systems responsibly, ethically, and effectively.

 

Participants will explore how governance principles apply to both traditional organizational contexts and AI-driven environments. The course emphasizes accountability, transparency, risk management, and ethical decision-making, enabling professionals to design, implement, and oversee governance systems that align with international standards and future-ready strategies

Course Objectives

  • Understand advanced principles and frameworks of corporate governance
  • Design and evaluate effective governance structures and policies
  • Integrate governance with risk management and compliance functions
  • Explain key concepts and frameworks of AI governance
  • Identify risks, ethical considerations, and regulatory aspects of AI systems
  • Apply governance controls to AI-driven processes and decision-making
  • Develop governance strategies that align with digital transformation initiatives
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