LF logo
by learnformula
search
Log in
search
Courses/Engineering/Engineering Management

AI Management Systems for Engineering Organisations

Strategically integrate AI frameworks to streamline technical workflows, optimize team productivity and scale innovation across your entire engineering organization.

Created byCheng Wei Ma
5.0
(1 reviews)
BeginnerUpdated Jun 24, 2026
AI Management Systems for Engineering Organisations

What You'll Learn

check_circleExplain how AI is being integrated into engineering workflows and operational environments
check_circleIdentify key governance, ethical, and organisational risks associated with AI deployment
check_circleUnderstand the role of ISO/IEC 42001 and AI management system principles
check_circleAssess practical approaches for managing trust, transparency, and human oversight in AI-enabled processes
check_circleEvaluate how engineering organisations can balance innovation with accountability and risk management

About This Course

Artificial intelligence is moving rapidly from experimentation into operational engineering environments, influencing decision-making, design processes, asset management, maintenance planning, project delivery, and organisational strategy. Yet the challenge for engineering organisations is no longer simply identifying where AI can be used. Increasingly, the focus is shifting toward how AI can be implemented responsibly, governed effectively, and integrated in ways that support trust, safety, and professional accountability.

This session examines AI adoption from an engineering governance and risk perspective, focusing on the practical realities of implementation within engineering organisations. It explores emerging frameworks for AI management, the role of standards such as ISO/IEC 42001, and the organisational controls needed to manage risk while supporting innovation. Participants will gain practical insight into how engineering teams can establish governance structures, maintain human oversight, and develop responsible approaches to AI deployment across technical and operational environments.

Key Topics Discussed:

  • The shift from experimental AI use to operational deployment in engineering organisations
  • Core principles of AI governance, risk management, and accountability
  • Overview of AI management system frameworks and standards, including ISO/IEC 42001
  • Embedding human oversight in AI-supported engineering decision-making
  • Managing safety, reliability, and ethical considerations in AI-driven systems
  • Organisational controls for scaling AI across engineering, maintenance, and project delivery
  • Aligning AI adoption with regulatory expectations and professional standards
  • Building trust in AI outputs within technical and operational teams

Your Instructor

Cheng Wei Ma
Cheng Wei Ma

President | Risk and Insurance Management Association of Singapore

menu_book1 courses
star1 reviews

Mr. Andeed Ma is the President of the Risk and Insurance Management Association of Singapore (RIMAS). With over 17 years of experience in AI, Cybersecurity, and Risk Management, he has contributed significantly to companies like ServiceNow, ByteDance, and CyberArk. Mr. Ma lectures and mentors at the Singapore University of Social Sciences (SUSS) and the Singapore Management University (SMU), specializing in Automation, Cloud Computing, Regulatory Technology, and Sustainable AI Ethics. He co-authored the Wiley-published book AI for Humanity: Building a Sustainable AI for the Future (ISBN: 9781394180301). He advises companies on adopting AI Management Systems responsibly and an active member of the Global Fintech Institute, Institute of Blockchain Singapore, and AI International Institute (AIII). Mr. Ma played a key role in developing the Singapore Standard for ISO 42001:2023 AI Management System as their Convenor, contributed to IEC for SEG 15: Metaverse, and ForHumanity, a UK charity organization for independent AI audits.

Credit Information

Do these courses count toward my professional development requirements?

This portal is provided as a training and development resource for City of Markham employees. Every course is delivered by a qualified subject matter expert or learning organization, is quantifiable in hours, and is verifiable — you receive a documented certificate of completion for every course you finish, stored on LearnFormula indefinitely.

If you hold a professional designation (for example in engineering, accounting, human resources, or law), courses may be counted as professionally relevant, verifiable learning activities toward your continuing professional development. Individual practitioners are responsible for confirming that an activity meets the requirements of their professional body. For questions about the City of Markham's training and development policies, please speak with your people leader or Human Resources.

What Students Are Saying

5.0
Student's Choice
1 reviews

Frequently Asked Questions

We are a registered provider with 327+ associations and regulatory bodies worldwide. We operate across 29 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.