Registration Closing Date: 9 June 2025
NTU PACE
Email: ask.microcredentials@ntu.edu.sg
Certificate in Responsible Generative AI Governance
The Certificate in Responsible Generative AI Governance, a joint certification between Nanyang Technological University (NTU), Singapore and the Singapore Computer Society (SCS), aims to recognise and certify professionals in Responsible Generative AI Governance.
This certification equips professionals with the essential knowledge for the responsible implementation of Generative AI (GAI) in their organisations. It covers GAI's capabilities, limitations, and associated ethical risks, along with strategies for safe deployment. Learners will engage in prompt engineering to create relevant text and images. Additionally, this certification addresses key considerations in adopting, designing, and governing GAI solutions, focusing on the avoidance of common pitfalls and the management of security risks, including prompt injection and jailbreaking.
The certification comprises 2 courses:
- CET946 Responsible Generative AI and Applications
- CET949 Addressing Issues in Generative AI System Design and Deployment
Learners will complete assignments and/or quizzes after each set of relevant concepts, applying their knowledge to real-world scenarios. These assessments are crucial for tracking progress and reinforcing key concepts. The result slip will be issued together with the course certificate upon the successful completion of each course. SCS Members who successfully pass both courses, and an additional final examination will be eligible for the award of the “Certificate in Responsible Generative AI Governance”.
The credits earned from these 2 courses can be stacked to NTU’s Graduate Certificate in Responsible Artificial Intelligence Practices.
Eligibility Requirements
Who should attend
- Learners who have or are intending to employ Generative AI technologies to improve their work processes or increase their productivity in handling day-to-day knowledge-oriented activities in a responsible manner.
To earn the Certificate in Responsible Generative AI Governance:
- Non-SCS Members must sign up for the SCS Professional Membership where they will be issued with a verifiable digital badge (downloadable) after passing all courses’ assessments and a final examination.
- The total costs incurred (including 9% GST) to attain the Certificate is approximately $3,498.90, detailed as follows:
- You can apply for your SCS Professional Membership at https://www.scs.org.sg/membership or reach out to Ms Rachel Seetho (email: rachel.seetho@scs.org.sg) for any enquiries related to the SCS Membership.
Description | Cost ($) |
---|---|
Programme Fee | *$3,270.00 |
SCS Membership Entrance Fee | $87.20 |
SCS Professional Membership Fee (1-year) | $141.70 |
Total Cost | $3,498.90 |
*The Programme Fee stipulated above is SkillsFuture Singapore (SSG) funded for up to 70%, applicable to Singapore Citizens and Permanent Residents. It will be lower for those eligible for up to 90% SSG funding.
Learner's Journey
Overview of your learning journey:
- Programme Registration
- Upon receiving your registration details, NTU will share only your full name and email address with SCS for their membership outreach. - SCS Membership Application
- SCS will reach out to you to process your SCS Professional Membership Application and collect membership fees. - Programme Fee Payment
- Once the programme has met the minimum class size and is confirmed to run, NTU will contact you via email to collect the course fees after the registration closing date. - Administrative Details
- After registration has closed and payment has been received, NTU will email your Student Network Account details and SSG Attendance QR code for the respective courses to you. - During the Programme
- To be eligible for SSG funding, you need to meet the following requirements:
• Attendance: Scan and submit your attendance for all sessions.
• Assessments: Pass the assessment(s) for both courses.
- Complete the SSG TRAQOM surveys that will be sent to you at the end of each course.
- SCS Members must also pass the final examination conducted at the end of the programme. - Programme Ends
- NTU will issue either a Statement of Accomplishment (for a grade of D and above) or a Certificate of Participation based on your assessment results.
- SCS Members can download your verifiable digital badge and professional E-Certificate in Responsible Generative AI Governance. Please contact SCS directly for any enquiries.
Course Schedule
The course and examination schedule for the Certificate in Responsible Generative AI Governance had been set as follows:
- Course Start Date: 5 July 2025
- Responsible Generative AI and Applications
- Addressing Issues in Generative AI System Design and Deployment
- Final Examination (for SCS Members only): 27 September 2025
Course Details
1. The synchronous e-learning sessions will run every Saturday from 9.30am for ten Saturdays, with a final online examination conducted on the Saturday of the 11th week.
Note: Timing is subject to change depending on the instructors’ availability. There will be no sessions scheduled on 2 August and 9 August 2025.
2. Live E-consultation for assignment and content clarification will take place every alternate Wednesday evening, except 6 August 2025.
Note: Timing is subject to change depending on the instructors’ availability.
3. Learners are given the liberty to peruse the online materials and work on your assignments on the other days of the week.
4. To be eligible for SSG funding for these assessment-based courses, learners will need to pass the assessment(s) conducted during the courses.
5. To be awarded the joint certificate, learners must (1) be an SCS member and (2) pass all assessments and a final examination.
Fees & Funding
Standard Programme Fee: S$10,900 (inclusive of GST)
SSG Funding Support | Programme Fee | Course fee payable after SSG funding, if eligible under various schemes |
---|---|---|
BEFORE funding & GST | AFTER funding & 9% GST | |
Singapore Citizen (SC) and Permanent Resident (PR) (Up to 70% funding) |
S$10,000.00
| S$3,270.00 |
Enhanced Training Support for SMEs (ETSS) | S$1,270.00 | |
Singapore Citizen aged ≥ 40 years old SkillsFuture Mid-career Enhanced Subsidy (MCES) (Up to 90% funding) |
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits for each course. Click here for more information.
- Learners can utilise their SkillsFuture Credits for these courses.
- Singaporeans aged 40 years and above are able to use their SkillsFuture Credit (Mid-Career) top-up of $4,000 to offset the course fees after SSG funding.
Certification
Faculty and Industry Trainer
![]() | Assoc Prof Guosheng LinAssoc Prof Guosheng Lin is an Associate Professor at the College of Computing and Data Science (CCDS), NTU. Before moving to Singapore, he was a research fellow at the Australian Centre for Robotic Vision (ACRV), affiliated with The University of Adelaide. His research interests lie in computer vision and deep learning. His recent work focuses on generative learning, including 3D generation and editing, video generation and editing, scene generation, controllable generation, and their applications in scene understanding and 3D vision. |
![]() | Asst Prof Wang WenyaAsst Prof Wang Wenya is an Assistant Professor at the College of Computing and Data Science (CCDS), NTU. She has received her PhD degree from CCDS, NTU, supervised by Sinno Jialin Pan, and the BSc degree from the School of Mathematical Sciences, NTU. Her main research interest lies in Natural Language Processing with extension to Multimodal Learning, particularly investigating and utilising the mystery of generative AI in knowledge reasoning, model explainability and trustworthiness. |
![]() | Assoc Prof Goh Wooi BoonAssoc Prof Goh Wooi Boon is the Associate Dean (Continuing Education - FlexiMasters & Short Courses) at the College of Computing and Data Science (CCDS), NTU. Before joining NTU, he was senior engineer and later engineering section manager at the Mechanization and Automation department of Hewlett Packard Singapore. His industrial engineering expertise is in the area of developing robot-assisted automation systems. Assoc Prof Goh’s interests lie in the interface between humans and computers, especially the design of interactions and issues arising from such interactions, including ethical and societal issues. He is a regular instructor for courses in AI Ethics and Governance (AIEG) and was a reviewer for the Singapore Computer Society’s AIEG Body of Knowledge (BoK) 2.0. |
![]() | Assoc Prof Chia Liang Tien, ClementAssoc Prof Chia Liang Tien, Clement is an Associate Professor at the College of Computing and Data Science (CCDS), NTU. He was the Director, Centre for Multimedia and Network Communications 2002-2007 and Head, Division of Computer Communications 2006-2009. Assoc Prof Chia’s research interests can be broadly categorized into two main areas, Internet related research with emphasis on the Semantic Web and Multimedia Understanding for Information Management through media analysis, annotation and adaptation. |
![]() | Dr Zhiqi ShenDr Zhiqi Shen is a Senior Lecturer at the College of Computing and Data Science (CCDS), NTU. His research interests include goal oriented intelligent agents, multi agent systems, agent oriented software engineering and interdisciplinary research in artificial intelligence (AI), machine learning, game design, digital storytelling, e-learning, e-health, crowdsourcing and active ageing. Collaborating with Harvard, MIT and NIE/LSL researchers, “Virtual Singapura” built using his agent based game engine is the first immersive, situated and massive multi-user online role playing (MMORP) virtualised learning environment in Singapore for enabling students to learn through exploring in virtual worlds. |
![]() | Ong Chin AnnMr Ong Chin Ann is a lecturer at the College of Computing and Data Science (CCDS), NTU, with over a decade of experience teaching various Computer Science and Cybersecurity courses. He holds numerous professional certifications, including Certified Trainer, Certified Software Tester, Certified Security Specialist, Certified Network Defender, CISCO CCNA, and Microsoft Certified Azure and AI Fundamentals. He is involved in developing LLM-powered tools for educational purposes. His research explores the importance of secure LLM applications and ethical considerations in their deployment. Mr Ong is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a Professional Member from the Singapore Computer Society (SCS). |
![]() | Dr Zhang JiehuangDr Zhang Jiehuang is a lecturer at the College of Computing and Data Science (CCDS), NTU. He is a data scientist with years of experience in the technology sector. He currently teaches data science and AI in CCDS, focusing on developing responsible AI systems in real world settings. During his PhD, Dr Zhang developed a set of methodologies to guide and evaluate responsible AI systems for software and AI development. He was previously in the data chapter team of the Development Bank of Singapore (DBS) bank, where he led high impact projects to build and deploy AI models to predict incidents and discover insights into customer activity. Dr Zhang was also involved in the scoping and proof of concept of Generative AI use cases to apply to the banking and finance sector. |