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Course Details
Course Details
What You'll Learn
Topic 1: Generative AI Fundamentals for Design Thinking
Topic 2: AI-Assisted User Research and Opportunity Discovery
Topic 3: AI-Powered Ideation, Prototyping and Testing
Topic 4: Implementing and Measuring AI-Driven Design Solutions
Assessment
- Practical Exam
- Oral Questioning
Course Info
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
- Minimum 18 years old
Minimum Software/Hardware Requirement
Software:
You will need the following for this course:
- A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (the free tier is sufficient)
Hardware: Windows PC or Mac laptop
Funding Eligibility Criteria
Self-sponsored learners (individuals)
- Singapore Citizens and Singapore Permanent Residents aged 21 and above.
- Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
- Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.
Company-sponsored learners
- Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
- Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
- Employers can also claim Absentee Payroll funding for employees who attend during working hours.
- Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).
Conditions for all funded learners
- Attendance is taken digitally with Singpass for every session, including the assessment.
- You must complete the course and pass all assessments (assessed as Competent).
- If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
- 9% GST is charged on the full course fee before funding.
- Promo and discount codes cannot be used on funded courses.
- Any balance after funding can be paid in cash, with SkillsFuture Credit.
How to Apply SkillsFuture Credit Claim for Individuals
Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.
- Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
- We email you an invoice showing the course fee after funding.
- From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
- Click Submit a Claim and search for this course by its course code, TGS-2026064719.
- Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
- Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.
Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.
How to Apply SkillsFuture Enterprise Credit (SFEC)
SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.
Current SFEC: classes ending on or before 30 November 2026
- Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
- SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
- Check your company's SFEC eligibility and balance on EnterpriseSG.
- Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
- Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
- No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.
Any unused balance of the current SFEC expires on 30 November 2026.
Redesigned SFEC from 1 December 2026
Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.
Appeal Process
If you disagree with an assessment decision, you have the right to appeal.
- When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
- Discuss the decision with the assessor or the assessment manager first.
- If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
- Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
- An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
- You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.
Job Roles
Job Roles
- Product Manager
- UX/UI Designer
- Business Strategist
- Innovation Consultant
- Service Designer
- Organizational Development Specialist
- Business Development Manager
- Marketing Manager
- Customer Experience Manager
- Project Manager
- Operations Manager
- Brand Strategist
- Human Resources Specialist
- R&D Manager
- Entrepreneur or Startup Founder
Trainers
Trainers
Patrick Oh approaches design thinking from the standpoint of someone who has designed solutions for a living, first as an automation design engineer for years and now as a management consultant. He is a Singapore Certified Management Consultant, listed by TUV SUD as a certified consultant, and runs SG Venture Consulting, where his work spans performance management and solutions design consulting, governance, risk and compliance, and corporate compliance. He holds the CIPM certification from the IAPP and, according to a training-provider trainer profile, has provided Singapore PDPA consultancy for more than 13 years. He is also an implementer and auditor of ISO management systems, including quality and environmental management and ISO 14064 greenhouse gas accounting, and is involved in sustainability practice and community development. He writes on management topics too, including an article arguing that Agile is largely a rebranding of long-established project-management practice he had applied as an engineer and consultant.
Patrick is not the developer of the generative AI tools used in this course; his contribution is the human-centred, problem-solving discipline that makes those tools useful. As learners work through generative AI fundamentals for design thinking, he keeps attention on the real problem being solved and on responsible use, drawing on his privacy and PDPA expertise to show how to handle user research data and personal information safely when AI is involved. In the topics on AI-assisted user research and opportunity discovery, and on AI-powered ideation, prototyping and testing, he applies the instincts of a solutions designer who has had to understand stakeholders, test assumptions and iterate before committing resources. The final topic, implementing and measuring AI-driven design solutions, connects with his performance management work, where every solution needs clear measures of success. Learners leave able to use generative AI to speed up each stage of design thinking while keeping people, evidence and sound governance at the centre of their decisions.
Designing learning experiences is, at heart, a design thinking exercise, and it is central to Dr. Alfred Ang's daily work. He serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, the company behind Tertiary Courses, which he founded, and he is also a full-stack AI developer and Agentic AI solution architect. He is a DACE-certified curriculum developer and ACTA-certified trainer, holds a Graduate Certificate in Workplace Learning from the Institute for Adult Learning, and is a certified PMP and Certified ScrumMaster, so he is used to moving from user needs to prototypes in short, tested iterations. His GitHub portfolio of more than 300 public repositories includes many rapid prototypes built with AI: AICoaching, a business pitch and coaching simulator for redesigning jobs around accountable AI-agent ownership; workplacelearning, a site supporting AI transformation and job redesign; sipoc, a guided SIPOC and process-map builder for Lean Six Sigma; and arvr-playground, which generates AR and VR scenes from vibe prompts. For collaborative ideation he has built pinboard, a real-time digital canvas for sticky notes and whiteboards, livepoll, a live polling app, and whiteboard, a browser-based tool with flowchart elements and connectors. He holds a PhD in Electrical Engineering from NUS, the Certificate in AI Ethics and Governance (Senior Professional) from NTU, and Microsoft Certified AI Engineer Associate (AI-102) certification. His team at Tertiary Infotech designs Skills Framework-aligned WSQ and IBF programmes.
In CASL Generative AI for Design Thinking, Dr. Ang shows professionals how to combine human-centred innovation methods with generative AI to solve business challenges faster and more creatively. The course starts with generative AI fundamentals for design thinking, then moves into AI-assisted user research and opportunity discovery, AI-powered ideation, prototyping and testing, and finally implementing and measuring AI-driven design solutions. He uses AI to broaden and accelerate each stage, for example synthesising interview notes into themes, drafting personas and journey maps, generating many ideas quickly and producing clickable or visual prototypes in hours rather than weeks, while keeping real users and real evidence at the centre. Drawing on his own habit of building quick prototypes and testing them with people, he teaches learners to treat AI output as a starting point to be challenged rather than an answer to be accepted. He also covers the risks that matter in design work, such as biased research summaries, invented user insights and privacy in user data, informed by his NTU training in AI ethics and governance. Learners work in teams on a realistic business challenge, moving from problem definition to a tested prototype and a plan for measuring its impact. His sessions are interactive, using live polls and shared digital canvases to keep everyone contributing. He also shows how AI can play the role of a critical stakeholder, challenging assumptions in a concept before it reaches real users. To explore the prototypes and collaboration tools he has built, visit his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Sin Fatt Choong is an Agile and Design Thinking strategist with extensive experience in software engineering, consulting and organisational transformation. Over the past seven years he has specialised in guiding businesses to adopt Scaled Agile practices and integrate customer-centric innovation frameworks. A certified Scrum Master, Product Owner and Design Sprint Facilitator, he is also an ACTA-certified adult educator who uses techniques such as LEGO Serious Play and blended learning to engage participants in hands-on problem-solving. His background is rooted in design and agile practice rather than AI, and he brings those human-centred methods to working with generative AI.
In this CASL course, Sin Fatt helps participants combine human-centred innovation methods with generative AI to solve business challenges more creatively and efficiently. Learners cover generative AI fundamentals for design thinking, then use AI to support user research and opportunity discovery, ideation, prototyping and testing, before implementing and measuring AI-driven design solutions. His workshops emphasise aligning business goals with customer needs, so that AI speeds up the process without replacing the empathy and judgement at its heart. With strong facilitation and coaching skills, he helps participants build an innovation mindset and integrate AI-supported design thinking into their strategic and operational work.
Mark Tan Kee Tchuan is a Certified Lean Six Sigma Master Black Belt with over 20 years of experience in organisational transformation and operational process improvement. He has led cross-functional projects to drive standardisation and efficiency across logistics, manufacturing, service and healthcare, and has six years of industry consulting experience. A Certified Scrum Master with over a decade of project management experience, he has led RPA projects, applied design thinking to enhance user experience and trained in emotional intelligence and facilitation skills. He has also been an adjunct faculty member at the Singapore Institute of Technology (SIT) since 2016, certifying Yellow Belt students in continuous improvement.
In CASL Generative AI for Design Thinking, Mark guides participants through structured methods to identify challenges, ideate solutions and prototype innovations that align with business objectives, now accelerated with generative AI. Learners cover generative AI fundamentals, AI-assisted user research and opportunity discovery, AI-powered ideation, prototyping and testing, and the implementation and measurement of AI-driven design solutions. His approach blends Lean Six Sigma discipline with creative problem-solving, and he uses case studies and real-world applications to keep each step practical. Participants leave able to tackle complex business problems with clarity and confidence, and to apply generative AI in ways that drive sustainable innovation and measurable results.
Review
Customer Reviews (92)
- will recommend Review by Course Participant/Trainee
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. (Posted on 7/12/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Bigger classroom space (Posted on 2/16/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 1/25/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - The trainer is very engaging Review by Course Participant/Trainee
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The trainer is very engaging and is able to share relevant examples to illustrate and explain the different methodologies. (Posted on 9/7/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Lynn Foo - Very experienced and alot of stories to share! Would love to hear all your stories! Review by Course Participant/Trainee
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Should lengthen the duration of the course so can try out more methods1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
Lynn Foo - Very experienced and alot of stories to share! Would love to hear all your stories! (Posted on 9/7/2022)
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