About Course
AI systems are increasingly embedded in everyday work, and organisational performance now depends heavily on the quality of human judgement applied around AI use. Professionals who can interpret AI-generated outputs well and exercise sound oversight are positioned to help their organisations capture the full value of AI while safeguarding decision quality and trust.
As the capstone course of the six-part Psychology of AI series, this course brings together the principles and practices covered across Parts 1 to 5 and applies them to a real-world human-AI collaboration challenge. Working in cross-functional teams, participants design, test and present a responsible AI solution or governance framework using Capabara tools. Learners will develop an end-to-end prototype, workflow or policy model, while articulating its business return on investment and return on integrity.
The course can also be taken independently by learners who wish to focus on applying responsible AI principles through a hands-on capstone experience.
Delivered over two days of classroom-facilitated training at SIT Punggol Campus, the course combines team-based studio work with a final project presentation.
This course is developed in partnership with Straits Interactive, a leading edtech company committed to enabling organisations to thrive in a business landscape defined by Generative AI.
Who Should Attend
Minimum Entry Requirements
Preferably a degree or diploma holder with at least 3 years of relevant working experience
The Psychology of AI Series
This course is part of a collection of 6 Psychology of AI courses by SITLEARN. View the full collection here.
Learning Outcomes
By the end of this course, learners will be able to:
- Integrate psychological, ethical and governance principles into a practical human-AI collaboration framework or solution
- Design and prototype an AI-enabled solution, such as a process, decision-support tool or policy intervention, using Capabara tools
- Evaluate the ethical, operational and business impact of an AI solution using ISO-aligned frameworks
- Defend their proposed solution with evidence-based reasoning and measurable return on investment (ROI) and return on integrity (ROIn) metrics.
- Reflect critically on lessons learned, including professional growth and what responsible AI adoption means for their organisation.
Teaching Team
Dr. Kevin Shepherdson
Founder & CEO, Straits Interactive
Dr. Celine Chew
Chief AI Learning Officer, Straits Interactive
Course Details
Schedule
| Course Run | Dates | Time |
|---|---|---|
| May 2027 | 24 - 25 May 2027 | 9:00 am – 6:00 pm |
| September 2027 | 16 - 17 Sep 2027 | 9:00 am – 6:00 pm |
| January 2028 | 20 - 21 Jan 2028 | 9:00 am – 6:00 pm |
Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Mode of Assessment: Assignment
Fee Structure
The full fee for this course is S$2,616.00.
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$784.80 |
| Singapore Citizen (40 & Above) Funded under SkillsFuture Mid-Career Enhanced Subsidy (MCES) | 90% | S$304.80 |
| Singapore PR / LTVP+ Holder | 70% | S$784.80 |
| Non-Singapore Citizen | Not Eligible | S$2,616.00 |
Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.
Course Runs
New Engineering Micro-credentials Launching Soon!
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