Introduction
With the rapid growth in Generative Artificial Intelligence (GAI) technologies, professionals in every industry need a good grasp of what GAI is and how they can exploit it in a responsible and thoughtful manner. This introductory course helps learners understand GAI technology, its capabilities, limitations and applications in various scenarios. More importantly, it highlights new ethical risks associated with the use of GAI, along with risk mitigation strategies and practical approaches in deploying trusted GAI solutions. Exercises in effective prompt engineering techniques will expose learners to the use of GAI tools to generate relevant text and images that are context-appropriate for their needs and that of their organisations. At the completion of this course, learners will have acquired the understanding and skills to responsibly exploit GAI technologies within their organisation and existing work processes.This course is credit-bearing (3 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:
- Describe the basic technology behind Generative AI (GAI) algorithms and how they relate to GAI applications, performance and limitations.
- Develop a comparative appreciation for the current variety of GAI models and tools, and the skills in making appropriate choices for different use cases.
- Understand new ethical risks associated with the use of GAI and develop skills to mitigate such risks and implement responsible GAI solutions.
- Relate best practices in GAI applications to existing GAI governance frameworks, guidelines and evolving international AI regulatory landscape.
- Develop practical and responsible understanding for how effective prompts can be engineered for generating relevant and appropriate text and images for various use cases relevant to one’s domains of interest.
This course is suitable for learners working in industries that are currently employing or intending to employ Generative AI technologies to improve their work processes or increase their productivity in handling day-to-day knowledge-oriented activities.
Standard Course Fee: S$6540
| 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) | $6,000.00 | $1,962.00 |
| Enhanced Training Support for SMEs (ETSS) | $6,000.00 | $762.00 |
| Singapore Citizen aged ≥ 40 years old SkillsFuture Mid-career Enhanced Subsidy (MCES) (Up to 90% funding) | $6,000.00 | $762.00 |
- 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
- Addressing Issues in Generative AI System Design and Development (2 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)
