AI Governance Bootcamp

An Intensive 5-day Training Course

AI Governance Bootcamp

Frameworks, Policies, Ethics, and Governance Controls for Responsible and Shadow AI

UPCOMING SESSIONS

Classroom sessions
DateVenueFee
11-15 May 2026Dubai - UAE$5,950RESERVE A SEAT
15-19 Jun 2026London - UK$5,950RESERVE A SEAT
24-28 Aug 2026Paris - France$5,950RESERVE A SEAT
19-23 Oct 2026Amsterdam - The Netherlands$5,950RESERVE A SEAT
23-27 Nov 2026Dubai - UAE$5,950RESERVE A SEAT
28 Dec 2026-01 Jan 2027London - UK$5,950RESERVE A SEAT
08-12 Feb 2027Dubai - UAE$5,950RESERVE A SEAT
10-14 May 2027Dubai - UAE$5,950RESERVE A SEAT
14-18 Jun 2027London - UK$5,950RESERVE A SEAT
23-27 Aug 2027Paris - France$5,950RESERVE A SEAT
18-22 Oct 2027Amsterdam - The Netherlands$5,950RESERVE A SEAT
22-26 Nov 2027Dubai - UAE$5,950RESERVE A SEAT
27-31 Dec 2027London - UK$5,950RESERVE A SEAT
Online sessions
DateVenueFee
30 Mar-03 Apr 2026Online$3,950RESERVE A SEAT
29 Mar-02 Apr 2027Online$3,950RESERVE A SEAT

Training Course Overview

The AI Governance Training Course that covers shadow AI provides a comprehensive foundation for understanding how organisations can responsibly manage artificial intelligence across strategy, operations, and technology. As AI continues to influence decision-making in both public and private sectors, organisations must ensure that the systems they deploy uphold fairness, transparency, accountability, and regulatory compliance. This AI Governance Course guides participants through the essential principles and practical structures required to oversee responsible AI adoption.

The course explores how to design and implement governance models that reduce AI-related risks while supporting innovation. Participants will examine ethical standards, regulatory frameworks, and risk-management practices that are shaping global AI oversight. Through case studies and hands-on exercises, the course helps leaders understand how governance failures occur, how to prevent them, and how to build systems that reinforce trust and safeguard organisational values. By the end of the program, participants will have a clear roadmap for ensuring that AI systems operate ethically, safely, and in line with emerging global regulations.

Training Course Objectives

The AI Governance Course equips participants with practical capabilities to design, implement, and manage AI governance structures that enable trustworthy and compliant AI adoption across industries.

By the end of this training course, participants will be able to:

  • Understand core principles of AI governance, responsible AI, and ethics
  • Develop AI governance frameworks aligned with organisational needs
  • Identify and mitigate AI risks related to bias, safety, and privacy
  • Apply global standards including the EU AI Act, NIST AI Framework, and ISO/IEC 42001
  • Build governance policies that support fairness, transparency, and accountability
  • Conduct impact assessments, audits, and AI risk evaluations
  • Establish governance roles and oversight mechanisms for AI systems
  • Support compliant and trustworthy AI integration across business functions
  • Lead ethical and sustainable AI implementation initiatives

Designed for

The AI Governance Training Course is ideal for professionals involved in digital strategy, risk oversight, regulatory compliance, and responsible AI deployment. It supports individuals working across both technical and leadership roles who are tasked with ensuring safe and ethical AI operations.

This course is ideal for:

  • Chief Officers (CTO, CIO, CDO), Directors, and Senior Managers
  • AI and Data Governance Professionals
  • Risk, Compliance, and Internal Audit Specialists
  • Policy Makers and Public Sector Leaders
  • AI/ML Engineers transitioning into governance and oversight roles
  • Digital Transformation Leaders
  • Legal and Regulatory Affairs Professionals
  • Individuals responsible for AI ethics, oversight, or responsible innovation

Learning Methods

The AI Governance Training Course uses an interactive and practical learning approach designed to support deep comprehension and real-world application. Facilitated through expert-led sessions, the course integrates presentations, case studies, and group discussions that highlight how governance principles are applied in different organisational settings.

Participants engage in hands-on workshops covering risk assessments, policy design, compliance mapping, and governance strategy development. Scenario-based learning reinforces how AI systems should be evaluated, monitored, and managed throughout their lifecycle. Comprehensive course materials and frameworks ensure participants leave with actionable tools to implement AI governance practices effectively within their organisations.

The Course Outline

Day One: Foundations of AI Governance & Responsible AI
  • Understanding AI governance: definitions, scope, and importance
  • Key drivers for AI governance in the public and private sectors
  • Overview of AI ethics principles: fairness, accountability, transparency, privacy
  • Types of AI systems and associated governance challenges
  • Case studies: governance failures (Amazon recruiting AI, COMPAS, etc.)
  • Introduction to global AI governance models and frameworks
  • Building the business case for responsible AI
  • Workshop: Mapping AI governance needs in your organisation
Day Two: Regulatory Landscapes, Standards & Compliance Requirements
  • Overview of global regulations
  • AI classifications and compliance obligations
  • Data protection laws and AI (GDPR, regional regulations)
  • Governance requirements for high-risk AI systems
  • AI documentation, transparency, and reporting obligations
  • Building internal compliance frameworks
  • Workshop: Conducting a regulatory impact assessment
Day Three: AI Risk Management, Bias, & Algorithmic Transparency
  • Understanding AI risks: technical, operational, ethical, and societal
  • Bias detection, fairness assessment, and mitigation strategies
  • Explainable AI (XAI) methods and tools
  • Governance for generative AI models and large language models
  • AI model lifecycle management and monitoring
  • Risk registers, AI control checkpoints, and audit trails
  • AI system testing and validation frameworks
  • Workshop: Conducting an AI risk assessment & bias analysis
Day Four: Designing & Implementing AI Governance Frameworks (Including Shadow AI)
  • Governance structures: committees, roles, and oversight responsibilities
  • Accountability models for AI ownership and decision-making
  • Understanding AI Shadow: causes, organisational blind spots, and governance gaps
  • Why Shadow AI emerges despite existing IT and AI policies
  • Integrating Shadow AI oversight into governance structures
  • AI governance frameworks: NIST, ISO, and organisational models
  • Creating AI governance policies, acceptable-use policies, and standard operating procedures
  • Controlling employee use of public and generative AI tools
  • Procurement governance: evaluating and approving third-party AI vendors
  • Managing Shadow AI in SaaS platforms and embedded AI tools
  • Human-in-the-loop (HITL) and human-on-the-loop (HOTL) controls
  • Incident response and escalation procedures for Shadow AI misuse or failure
  • Building governance for generative AI & autonomous systems
Day Five: Strategy, Maturity Models & Future Trends
  • Developing an enterprise AI governance strategy
  • AI maturity assessments and roadmap development
  • Aligning AI governance with organisational values and ESG goals
  • Integrating AI governance into digital transformation programs
  • Preparing for future trends: autonomous systems, AGI, and next-gen regulations
  • Capstone exercise: Designing a complete AI governance blueprint
  • Certificate examination / assessment
  • Closing session: Action plan for AI governance implementation

The Certificate

  • Anderson Certificate of Completion will be provided to delegates who attend and complete the course

In Association With

Aztech
Copex
Coventry
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    There are several convenient ways to register for our training programs:

    • Online: Explore our training calendar, choose the course that suits your needs, and click the “Register Now” button on the course details page.
    • Email: Share your details, including your name, organization, email address, and selected course, by sending an email to  [email protected]
    • Phone: Reach out to us directly at +971 4 273 3503, and our team will guide you through the registration process.

    When will I receive confirmation of my registration?

    Once your registration is successfully completed, you will receive a confirmation email within 24 hours. This email will contain your registration details, invoice, and the necessary joining instructions for the course.

    What does the training fee cover?

    The training fees include full access to the training venue, along with comprehensive training materials to enhance your learning experience. Additionally, participants will be provided with writing supplies and stationery. To ensure comfort and convenience, the fee also covers lunch and refreshing coffee breaks throughout the duration of the course.

    Where are your training courses held?

    Our training programs are hosted at luxurious five-star hotels in prestigious destinations across the globe. Some of our popular locations include Dubai, London, Kuala Lumpur, Amsterdam, New York, Paris, Vienna, and many other iconic cities.

    Can I request customized corporate training?

    Yes, we offer tailored corporate training solutions to meet your organization’s specific needs. Please contact us at [email protected] or call +971 4 273 3503 for more information.

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