Introduction
This course teaches learners to implement Generative AI (GAI) responsibly in organisations. It addresses key issues throughout the design, development, deployment, and post-deployment stages. Learners will explore practical considerations, from deciding to adopt a GAI solution to designing a suitable system and establishing governance. The aim is to equip AI practitioners with the knowledge to avoid common pitfalls when integrating GAI in their organisations. Additionally, the course covers security and safety aspects like jailbreaking and prompt injection, highlighting unique vulnerabilities in GAI systems and offering strategies for resilient and responsible deployment.This course is credit-bearing (2 AU) and stackable to:
- Graduate Certificate in Responsible Applied Artificial Intelligence (6 AU)
- FlexiMasters in Responsible Applied Artificial Intelligence (15 AU)
- Master of Computing in Applied Artificial Intelligence (30 AU)
Learners will receive their Statement of Accomplishment (for a grade of D and above) or Certificate of Participation for this course—dependent upon their assessment performance.
This course is part of the FlexiMasters in Responsible Applied Artificial Intelligence.
This course is offered as part of the Certificate in Responsible Generative AI Governance programme and is not available for registration as an individual course.
The Certificate in Responsible Generative AI Governance programme is offered in collaboration with the Singapore Computer Society (SCS), who will reach out to applicants to provide more information about this certification.
At the end of the course, learners will be able to:
- Apply various practical technical and operational considerations to the design and deployment of a generative AI solution for a given use case.
- Design sound governance and risk management strategies to ensure that GAI systems are implemented responsibly and securely within the enterprise.
- Describe the different types of security and safety challenges posed by GAI systems and be able to propose appropriate mitigation strategies, techniques and processes to manage such security and safety risks, both during and post deployment.
This course is suitable for AI practitioners working in industries that are currently employing or intending to employ Generative AI technologies to improve their work processes or increase their productivity in a responsible manner.
Standard Course Fee: S$4360
| SSG Funding Support | BEFORE funding & GST | AFTER SSG funding (if eligible under various schemes) & 9% GST |
| Course Fee | Course Fee Payable | |
| Singapore Citizen (SC) and Permanent Resident (PR) (Up to 70% funding) | $4,000.00 | $1,308.00 |
| Enhanced Training Support for SMEs (ETSS) | $4,000.00 | $508.00 |
| Singapore Citizen aged ≥ 40 years old SkillsFuture Mid-career Enhanced Subsidy (MCES) (Up to 90% funding) | $4,000.00 | $508.00 |
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits for this course. Click here for more information.
- Learners can utilise their SkillsFuture Credits for this course.
- Singaporeans aged 40 years and above are able to use their SkillsFuture Credit (Mid-Career) top-up of $4,000 to offset the course fee after SSG funding.
FlexiMasters in Responsible Applied Artificial Intelligence
- Responsible Generative AI and Applications (3 AU)
- AI Ethics and Governance Fundamentals (2 AU)
- Addressing Issues in AI Ethics and Governance (3 AU)
- Human-centred Artificial Intelligence User Experience and Data Visualisation (3 AU)
- Responsible Agentic Artificial Intelligence and Applications (2 AU)
