What is ISO?
The International Organization for Standardization (ISO) is an independent, non-governmental body that develops globally recognised standards to ensure quality, safety, efficiency, and interoperability across industries. ISO standards provide structured frameworks for organisations to improve operations, comply with regulations, and meet customer expectations. Commonly adopted across sectors, these standards support continuous improvement and international best practices in areas such as quality management, environmental responsibility, and information security.
Who Should Join
This training is ideal for:
- Quality, environmental, and IT managers
- Internal auditors and compliance officers
- Department heads and operations leaders
- SMEs preparing for ISO certification
- Professionals aiming to enhance their qualifications with ISO knowledge
- No prior ISO experience is required for foundational modules
Training Modules (Online, On-Demand)
ISO/IEC 22989:2023 — Understanding AI Concepts and Terminology
This course introduces the foundational concepts, terminology, and principles of artificial intelligence (AI) as defined in the ISO/IEC 22989:2023 standard. It is designed for professionals looking to build a clear understanding of AI technologies, their capabilities, and how they fit into organizational and societal contexts. The course clarifies key terms and supports informed decision-making around the adoption and governance of AI systems.
ISO/IEC 42001:2023 — Requirements for AI Management Systems
This course focuses on the requirements outlined in ISO/IEC 42001:2023, the world's first management system standard specifically for artificial intelligence. It guides participants through establishing, implementing, maintaining, and continually improving an AI management system. The course helps organizations align their AI initiatives with globally recognized best practices, addressing risks, responsibilities, and ethical considerations in the use of AI.
[Funded] ISO/IEC 14064-1& 3:2018 & ISO/IEC 14067 — Greenhouse Gas Practitioner for Logistic Industry (F2F, Online, or Hybrid)
This course is a 6-day training program designed to equip logistics professionals with the skills to implement and manage greenhouse gas (GHG) accounting and reporting based on ISO/IEC 14064-1 & 3:2018 and ISO/IEC 14067:2018. This course addresses logistics-specific challenges, such as fuel consumption, fleet management, and supply chain emissions, to develop comprehensive carbon management plans and achieve accurate GHG reporting and verification.
[Funded] ISO 14068-1:2023 — Carbon Neutrality for Logistics Industry (F2F, Online, or Hybrid)
This course is a course is a 2-day training program designed to equip logistics professionals with the knowledge and skills to achieve carbon neutrality in their operations. Aligned with ISO 14068-1:2023, the course revisits key concepts of greenhouse gas (GHG) emissions quantification and reporting, outlines carbon footprinting for products, and provides a clear pathway to Net Zero through a logistics-specific carbon neutrality management plan. Participants will learn methodologies for carbon footprint quantification, offsetting, and maintaining carbon neutrality status.
[Funded] ISO/IEC 42001:2023 — AI Management System Lead Implementer for Logistic Industry (F2F, Online, or Hybrid)
This course is designed to equip professionals in the logistics sector with the knowledge and skills to implement and manage an Artificial Intelligence Management System (AIMS) based on ISO/IEC 42001. This comprehensive training program focuses on leveraging AI to optimize logistics operations, enhance efficiency, reduce costs, and improve supply chain resilience. Participants will gain a deep understanding of global AI regulations, the core principles of AIMS, and practical applications tailored to the logistics industry.
[Funded] courses are included in the List of Pre-approved Courses under the Maritime and Aviation Training Fund. Successful applicants can receive a reimbursement of 80% of their course fees, with a maximum funding limit of HKD 30,000.