GAICC ISO/IEC 42001 Foundation (certification)
Learn the basics of AI governance and ISO/IEC 42001 certification Course — the first step in building and auditing Artificial Intelligence Management Systems (AIMS).
Our Process
Explore our structured path to mastering artificial intelligence management systems and achieving compliance excellence.

Phase One: Course Enrollment
Secure your spot in our HRD Corp Claimable ISO 42001 Foundation training.
Phase Two: Core Learning
Gain essential knowledge officially accredited by the Global AI Certification Council.
Professional Certification
Advance your professional expertise with recognized AI compliance credentials.
GAICC ISO/IEC 42001 Foundation Course
The GAICC ISO/IEC 42001 Foundation Course introduces participants to the fundamentals of ISO 42001 certification and AI governance. You’ll learn what ISO/IEC 42001 is, why it matters, and how the certification process works. The program helps you understand the certification journey — including accreditation, audits, and compliance — while building awareness of governance roles, responsibilities, and the ethical principles required for responsible AI.
Drafting a Simple AI Governance Policy – Build a foundational framework for accountability, roles, and compliance.
Key Skills You’ll Gain
✅ Understanding Standards & Terminology – Learn the core concepts, vocabulary, and requirements of ISO/IEC 42001:2023 Course.
✅ Analysing Organisational Context – Identify internal and external factors, stakeholders, and scope for implementing AI governance.
✅ Recognising Risks & Ethical Concerns – Explore key challenges such as bias, fairness, transparency, and accountability in AI systems.

Practical Outcomes You’ll Achieve
By the end of this course, participants will be able to:
Note: This course fulfills exam eligibility requirements.
✅ Explain what ISO/IEC 42001 is and why it matters — including its role in responsible AI and links to other ISO standards.
✅ Describe the certification process — understand accreditation, certification, and audit stages.
✅ Apply AI governance terminology — transparency, bias, explainability, accountability, and fairness.
✅ Define the scope and stakeholders of an AI Management System (AIMS) — including internal and external drivers.
✅ Identify leadership roles and governance policies required for ISO/IEC 42001 compliance.
✅ Recognise ethical and regulatory issues in AI — from privacy and bias to accountability and global frameworks.
✅ Draft a basic AI governance policy and accountability structure that aligns with ISO/IEC 42001 requirements.
