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WSQ - Build Professional Web Apps Quickly with AI-Assisted Vibe Coding

WSQ - Build Professional Web Apps Quickly with AI-Assisted Vibe Coding

WSQ Build Professional Web Apps Quickly with AI-Assisted Vibe Coding equips learners with the latest tools and workflows in AI-enhanced software development. The course introduces the concept of “Vibe Coding,” a cutting-edge approach that integrates AI copilots into the development process. Participants will explore how GitHub Copilot and other emerging tools can identify inefficiencies in traditional programming workflows and offer smart solutions to increase development speed and code quality. Learners will also gain insights into setting up AI-driven environments and effective prompting techniques for real-time collaboration with AI.

Through guided hands-on practice, learners will build full-stack web applications by applying AI tools to both frontend and backend development, including backend API integrations. The course emphasizes best practices in AI-assisted development, helping participants streamline coding processes across teams and improve productivity. By the end of the course, learners will be well-versed in modern AI coding ecosystems and capable of proposing and applying AI solutions to elevate software project efficiency.

Learning Outcomes

By end of the course, learners should be able to:

LO1: Identify gaps in existing programming workflows and propose AI-assisted solutions using GitHub Copilot to enhance efficiency.
LO2: Explore and apply emerging AI programming tools, including GitHub Copilot, to streamline organizational coding processes.

Course Brochure

Download WSQ - Build Professional Web Apps Quickly with AI-Assisted Vibe Coding

Skills Framework

This course follows the guideline of Digital Technology Adoption and Innovation ACC-ICT-3004-1.1 under Accounting Skills Framework

Certification

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$400.00	$36.00	$236.00	$156.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2025052341)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us.

Course Code: TGS-2025052341

Post-Course Support

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1: Introduction to AI-Assisted Vibe Coding

What is “Vibe Coding” — the new AI-assisted development paradigm
How AI copilots transform modern software development
Overview of AI tools for web app creation
Setting up your development environment
Best practices for prompting and “pair programming” with AI

Topic 2: Hands-On Web App Development with AI-Assisted Vibe Coding

Frontend and Backend Development with AI
Backend & API Development
AI Tool Ecosystem & Productivity

Final Assessment

Written Assessment
Practical Performance

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

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 can download and install the following software:

Visual Studio Code

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents of age 21 and above
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Steps to Apply Skills Future Claim

The staff will send you an invoice with the fee breakdown.
Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Note

SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

The candidate has the right to disagree with the assessment decision made by the assessor.
When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
The candidate must lodge the appeal within 7 days, giving reasons for appeal
The assessor can help the candidate with writing and lodging the appeal.
he assessment manager will collect information from the candidate & assessor and give a final decision.
A record of the appeal and any subsequent actions and findings will be made.
An Assessment Appeal Panel will be formed to review and give a decision.
The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
Please click the link below to fill up the Candidates Appeal Form.

Job Roles

Web Developer
Full Stack Developer
Frontend Developer
Backend Developer
Software Engineer
Application Developer
DevOps Engineer
Technical Lead
IT Consultant
AI Developer
Machine Learning Engineer
Solutions Architect
Product Engineer
Startup CTO
Innovation Manager
Agile Developer
Digital Transformation Specialist
Software Development Trainer
Systems Developer
Automation Engineer

Trainers

Mohamed Afiq Bin Mohamed Ismail: Mohamed Afiq Bin Mohamed Ismail is a software engineer, entrepreneur, and educator with extensive experience in full-stack web development and technical innovation. A graduate of Singapore Management University with a Bachelor of Science (Information Systems, Cum Laude), he is the founder of PlayTours Pte. Ltd. and a former Senior Engineering Manager at Janio Asia, where he built and scaled enterprise-level logistics platforms across the region. Recognized in the Forbes 30 Under 30 Asia list (2021), Afiq is proficient in JavaScript, VueJS, Firebase, and Python, and has a strong record of leading cross-functional engineering teams and mentoring young developers.

In the Hands-on AI-Assisted Programming Made Simple with GitHub Copilot course, Afiq leverages his real-world development experience to help learners understand how AI can accelerate software design and coding efficiency. His sessions focus on practical applications of GitHub Copilot for automating repetitive tasks, generating clean code, and improving debugging workflows. Learners benefit from his hands-on, industry-informed approach to integrating AI tools into modern software engineering practices.

Tan Woei Ming: Tan Woei Ming is a robotics engineer, educator, and software developer with deep expertise in automation, AI integration, and robotics system design. With extensive experience in Python, ROS2, and cloud-connected systems, he has led projects in robotic arm control, computer vision, and intelligent automation. As a WSQ-certified ACLP trainer, Woei Ming specializes in bridging complex engineering concepts with accessible, hands-on learning for both students and professionals. His background in robotics and AI uniquely positions him to teach how emerging technologies can enhance developer productivity and innovation.

In this course, Woei Ming introduces learners to the intersection of AI and software engineering, demonstrating how GitHub Copilot enhances programming accuracy and workflow optimization. His teaching emphasizes real-time coding examples, practical exercises, and intelligent debugging. Participants gain confidence in applying AI-assisted development techniques to streamline coding tasks and build adaptive, efficient software solutions.

Teh Siew Yee: Teh Siew Yee is a data science and AI professional with over two decades of experience leading digital transformation, analytics, and automation initiatives across Asia. Having held leadership positions at Standard Chartered Bank, SIA Engineering, and Hewlett-Packard, he combines deep business acumen with strong technical expertise in Python, AI, and cloud computing. A certified ACLP trainer and holder of a Master of IT in Business (Artificial Intelligence) from Singapore Management University, Siew Yee is passionate about helping professionals bridge the gap between AI technology and practical implementation.

In this course, Siew Yee guides learners in using GitHub Copilot to enhance productivity in programming and analytics. Her sessions emphasize AI-assisted code generation, workflow optimization, and collaboration in modern development environments. Learners gain valuable insights into how AI tools can accelerate innovation while maintaining software quality, enabling them to adopt intelligent coding practices confidently.

Truman Ng: Truman Ng is a senior IT and cloud infrastructure specialist with more than 20 years of experience across data engineering, AI systems, and automation. He holds multiple professional certifications including PMP®, Huawei HCIE®, Cisco CCNP®, and AWS Certified Solutions Architect. Truman has led large-scale technology projects that integrate AI, DevOps, and cloud-native applications, helping enterprises adopt intelligent, automated workflows. As an ACTA-certified trainer, he is known for his engaging, application-oriented teaching style that blends technical rigor with real-world relevance.

In the Hands-on AI-Assisted Programming course, Truman focuses on empowering learners to apply AI tools such as GitHub Copilot within professional software and cloud environments. His sessions combine coding practice with real-world project applications, covering topics such as intelligent code completion, cloud automation, and system integration. Learners benefit from his technical depth and ability to simplify complex AI-assisted development workflows for immediate workplace application.

Terence Ee: Terence Ee is a technology strategist and innovation consultant with over 25 years of experience in IT management, enterprise systems, and education technology. Formerly the Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, he has extensive experience implementing large-scale IT systems that enhance operational efficiency and governance. Terence holds a Master of Science in Technology Management and is a certified ACLP trainer recognized for his structured, outcome-focused teaching approach.

In this course, Terence helps learners understand how AI tools like GitHub Copilot can transform the software development lifecycle. His sessions emphasize strategic adoption of AI-driven coding assistance for productivity, code quality, and collaborative development. Participants gain practical experience in integrating AI tools into software teams, preparing them to lead innovation and digital transformation in their organizations.