Course Schedules

Classroom 13 Sessions
Online / Live
Live

Introduction

Certified Artificial Intelligence Governance Professional (AIGP) Training Course provides a comprehensive foundation for understanding how organisations can responsibly manage artificial intelligence across strategy, operations, and technology environments. As AI becomes increasingly integrated into decision-making processes, organisations must ensure that these systems operate with fairness, transparency, accountability, and regulatory compliance. Effective governance is therefore essential to manage risks while maintaining trust and ethical standards.

This AI Governance Training Course explores the principles, frameworks, and oversight mechanisms required to guide responsible AI adoption within modern organisations. Participants will learn how governance structures help manage risks related to bias, privacy, safety, and regulatory obligations while supporting innovation and operational effectiveness.

Through practical discussions, case studies, and structured exercises, the course demonstrates how governance failures can occur and how organisations can prevent them through strong oversight and accountability. By the end of the Certified Artificial Intelligence Governance Professional (AIGP) Training Course, participants will be equipped with the knowledge and tools required to build effective AI governance frameworks that ensure responsible, compliant, and trustworthy AI systems.

What are the Goals?

Certified Artificial Intelligence Governance Professional (AIGP) Training Course aims to equip participants with the knowledge and practical capabilities required to establish responsible governance frameworks for artificial intelligence systems. The course focuses on strengthening oversight, risk management, and compliance to ensure AI technologies operate ethically and transparently.

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

  • Understand the core principles of AI governance, responsible AI, and ethical AI practices

  • Develop AI governance frameworks aligned with organisational strategy and oversight needs

  • Identify and mitigate risks related to bias, safety, transparency, and privacy in AI systems

  • Apply global standards such as the EU AI Act, NIST AI Framework, and ISO/IEC 42001

  • Design governance policies that support fairness, accountability, and transparency

  • Conduct AI impact assessments, audits, and risk evaluations across the AI lifecycle

  • Establish governance roles, committees, and oversight mechanisms for AI systems

  • Support compliant and responsible AI implementation across organisational functions

  • Lead initiatives that promote trustworthy and ethical AI adoption

Who is this Training Course for?

Certified Artificial Intelligence Governance Professional (AIGP) Training Course is designed for professionals responsible for managing digital strategy, regulatory compliance, and responsible technology deployment. It is particularly valuable for individuals involved in overseeing AI adoption, risk management, and governance frameworks across organisations.

This training course is suitable for a wide range of professionals but will greatly benefit:

  • Chief technology, data, and information leaders responsible for AI oversight

  • AI and data governance professionals managing responsible AI initiatives

  • Risk management, compliance, and internal audit specialists

  • Policy makers and public sector leaders responsible for technology regulation

  • AI and machine learning specialists transitioning into governance roles

  • Digital transformation leaders overseeing AI integration

  • Legal and regulatory affairs professionals managing compliance frameworks

  • Professionals responsible for AI ethics, oversight, and responsible innovation

How will this Training Course be Presented?

This Certified Artificial Intelligence Governance Professional (AIGP) Training Course uses a structured and interactive learning approach designed to support practical understanding and real-world implementation of AI governance frameworks. Participants benefit from expert-led sessions that explain governance principles and demonstrate how they are applied across organisational and regulatory environments.

The course integrates presentations, case studies, and guided discussions to illustrate how organisations manage risks associated with artificial intelligence. Participants will examine governance challenges and explore solutions that support transparency, accountability, and regulatory compliance.

Hands-on workshops allow participants to practice activities such as AI risk assessments, policy design, compliance mapping, and governance strategy development. Scenario-based exercises help participants evaluate how AI systems should be monitored and controlled throughout their lifecycle. Comprehensive learning materials and frameworks ensure participants leave the AI Governance Training Course with practical tools that support responsible AI oversight and implementation.

Course Content

Day 1

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 2

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 3

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 4

Day Four: Designing & Implementing AI Governance Frameworks

  • Governance structures: committees, roles, oversight responsibilities
  • AI governance frameworks: NIST, ISO, and organisational models
  • Creating AI governance policies and standard operating procedures
  • Procurement governance: evaluating third-party AI vendors
  • Human-in-the-loop (HITL) and human-on-the-loop (HOTL) controls
  • Incident response management for AI failures
  • Building governance for generative AI & autonomous systems
  • Workshop: Drafting an AI governance policy for your organisation
Day 5

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

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
  • Anderson Professional Certification (APC)® Certificate will be provided to delegates who successfully completes and pass the APC assessment

Accreditation

Anderson Professional Certification
Anderson Professional Certification (APC)® are series of courses designed by industry leaders to build and enhance critical professional skills needed to succeed in today’s most in-demand fields and help you develop a mastery of skills in a certain area.
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