Course Details
Course Details
What You'll Learn
Topic 1: Designing Full Stack Web Applications with AI Vibe Coding
Topic 2: Building Dynamic and Responsive User Interfaces
Topic 3: Creating Interactive Controls and Application Features
Topic 4: Developing Reusable Components and Full Stack Architecture
Topic 5: Building Forms, Managing Data and Producing Documentation
Assessment
- Written Exam
- Practical Exam
Course Info
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- 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 Software/Hardware Requirement
Software:
You will need the following for this course:
- Node.js (LTS) – free
- Visual Studio Code – free
- An AI coding assistant with a free tier, e.g. GitHub Copilot Free in Visual Studio Code
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, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.
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-2021008635.
- 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.
How to Apply UTAP (NTUC Members)
NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.
Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.
- Make sure your NTUC membership is paid up before the course starts.
- Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
- Attend at least 75% of the course and sit all assessments.
- Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
- Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
- NTUC usually pays the claim within 4 weeks of submission.
Read more in our UTAP guide.
How to Apply PSEA
Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.
- Check that this course shows the PSEA tag on its MySkillsFuture page.
- Check your PSEA balance on MOE's Student Finance System with Singpass.
- Download and complete the PSEA withdrawal form, then submit it to us.
- We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
- MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.
More details: MOE PSEA overview.
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
- Front-End Developer
- Full Stack Developer
- Front-End Framework Developer
- Web Application Developer
- UI/UX Developer
- JavaScript Developer
- Web Designer (wanting to expand into development)
- Software Engineer (with a focus on web apps)
- Mobile App Developer
- E-commerce Website Developer
- CMS Developer
- Freelance Web Developer
- SPA (Single Page Application) Developer
- Enterprise Web Application Developer
- Digital Product Manager.
Trainers
Trainers
Dr. Alfred Ang is a full-stack AI developer whose public GitHub portfolio reads like a catalogue of the applications this course teaches learners to build. He is also an Agentic AI solution architect, the founder of Tertiary Courses, and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, where he designs and delivers Skills Framework-aligned WSQ programmes in modern application development. His work covers the whole stack, from frontend and backend systems to LLM orchestration, workflow automation and scalable cloud infrastructure. fitnessapp is a full-stack fitness platform with a React, TypeScript, Tailwind and Vite client, an Express, Prisma and PostgreSQL API, a CMS-driven marketing site, a member class calendar, an admin dashboard and social login. ai-exams is a certification practice-exam platform on Next.js, Prisma and PostgreSQL with timed exam modes, AI-assisted question generation and multi-gateway checkout. tertiary-hrms is a Next.js HR and accounting platform with role-based access, attendance and Singapore CPF payroll, and sgtutors is a tutor marketplace with document verification, a Claude AI interview step, payments and an analytics dashboard. He uses AI coding agents in this work and has published a set of Claude Code skills, including a README generator and a mobile responsiveness tester. His certifications include AWS Certified Solutions Architect, Microsoft Certified AI Engineer Associate (AI-102) and CompTIA Security+, and he holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS.
In this WSQ AI Vibe Coding for Full Stack Web Applications course, Dr. Ang teaches aspiring developers and IT professionals to turn natural-language requirements into working software while staying in charge of the result. The first topic, designing full stack web applications with AI vibe coding, covers how to describe an application clearly, ask the assistant to plan its architecture and review the plan before any code is written. Learners then build dynamic and responsive user interfaces, followed by interactive controls and application features such as navigation, state and user actions. The fourth topic develops reusable components and a full stack architecture, connecting the frontend to back-end services, REST APIs, database models and authentication, the same layered structure he uses in his own Next.js, Express and Prisma projects. The final topic covers forms, data management and documentation, where learners validate input, persist and retrieve records, and have the assistant help produce clear technical documentation. Throughout, he stresses structured prompting, testing and debugging: reading the code the AI writes, spotting insecure or fragile patterns, and iterating with precise feedback rather than regenerating everything. His security certification shows in how he handles authentication and input validation, and his deployment experience helps learners understand what changes when an app leaves their laptop. Classes are hands-on from start to finish, and each learner completes a working full stack application. As an ACTA-certified trainer and DACE-certified curriculum developer, he aligns the labs with the WSQ assessment requirements. To see the full stack applications he has built, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Fritz Lim is an ACTA-certified trainer and software developer whose recent work brings AI-assisted development workflows into building responsive web applications that integrate Firebase and cloud services. He has over 15 years of experience in programming, web development and database management, and has taught extensively in polytechnics and private academies, specialising in JavaScript, React, Node.js and SQL. He favours hands-on projects, so learners spend much of their time building rather than listening.
In WSQ - AI Vibe Coding for Full Stack Web Applications, Fritz emphasises the use of AI tools to accelerate coding and streamline development. He guides learners as they translate natural-language requirements into functional code, design full stack applications, build dynamic and responsive user interfaces, and create interactive controls and features. Participants go on to develop reusable components and a sound full stack architecture, build forms, manage data and produce documentation. His sessions cover front-end design, back-end integration and database connectivity, ensuring learners can build complete web applications. By blending hands-on projects with AI-powered tools, Fritz equips participants to apply modern workflows to full stack development with confidence.
Lim Cheng Chong is an ACTA-certified trainer and NUS Computer Science graduate with expertise in interactive media, applied machine learning, IoT, web programming and app development. He has taught at BCA Academy and NUS, and has created more than 900 educational videos with over 5 million views on his YouTube channel. His industry training engagements include web programming, app development and AI-driven applications for organisations such as CSIT, SMRT, Panasonic and HP. He combines this technical background with a proven ability to make programming accessible.
In WSQ - AI Vibe Coding for Full Stack Web Applications, Cheng Chong guides learners through building scalable web apps using front-end frameworks, server-side coding and database integration, enhanced by AI development tools. Participants design full stack applications with AI vibe coding, build dynamic and responsive user interfaces, and create interactive controls and application features. They then develop reusable components and a full stack architecture, and finish by building forms, managing data and producing documentation. By pairing technical mastery with clear teaching, he helps learners translate natural-language requirements into working code they understand, so they can design, develop and deploy modern full stack applications with confidence.
Mohamed Afiq is a Forbes 30 Under 30 Asia 2021 honoree in enterprise technology and co-founder of Janio Asia, where he engineered logistics systems handling more than 20,000 daily deliveries. With deep expertise in JavaScript, React, Node.js and cloud-based systems, he has trained learners in full stack development and AI-powered workflows through SGUP and academy programmes. In his training, he focuses on using AI-assisted coding platforms to simplify the web development process, and his entrepreneurial success underlines his ability to translate code into scalable business applications.
In WSQ - AI Vibe Coding for Full Stack Web Applications, Afiq guides participants through building modern, end-to-end web applications with AI-assisted development workflows. Learners design full stack web applications with AI vibe coding, build dynamic and responsive user interfaces, and create interactive controls and application features. They then develop reusable components and a full stack architecture, before building forms, managing data and producing documentation. His sessions cover the journey from UI design to server-side logic, with practical demonstrations of how AI tools optimise the workflow. Participants gain both technical coding skills and the ability to use AI to boost productivity, turning natural-language requirements into functional, well-structured code.
Shahul Hameed Maricar is a certified ACLP trainer and MOE instructor with over a decade of experience in systems integration, product design and technical training. In his AI-assisted web development training, he introduces AI tools to automate repetitive coding tasks while covering core full stack concepts such as responsive design, server-side programming and database integration. He has delivered WSQ training in HTML, CSS, JavaScript and Node.js, helping learners build both front-end and back-end applications, and his multidisciplinary background in software integration, multimedia and STEM education enables him to bridge design, coding and deployment in full stack projects.
In WSQ - AI Vibe Coding for Full Stack Web Applications, Shahul guides learners in translating natural-language requirements into functional code and refining applications through structured iteration. Learners design full stack web applications with AI vibe coding, then build dynamic and responsive user interfaces and create interactive controls and application features. The course continues with reusable components and full stack architecture, and concludes with building forms, managing data and producing documentation. His beginner-friendly, learner-centred approach makes the AI-assisted workflow accessible to aspiring developers as well as IT professionals. Participants leave able to build complete, end-to-end web applications more efficiently and with greater confidence.
Review
Customer Reviews (7)
- Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 10/1/2026)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 - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 10/1/2026)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 - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 10/1/2026)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 - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 10/1/2026)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 - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 10/1/2026)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
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