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WSQ - AI Vibe Coding with Python

Sessions 2 days
Duration 16 hrs
Level Intermediate
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Computational Modelling-3
TSC Code: ICT-DIT-3001-1.1

Funding for this course is valid from 1 Oct 2019 to 30 Sep 2027. Register and complete the course within this period to qualify for funding support.

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

LO1: Understand and code Python comprehensions and generators.
LO2: Manage files and folders in Python.
LO3: Understand and code Object-Oriented Programming (OOP).
LO4: Set up and use databases in Python.
LO5: Understand and code exceptions to handle errors in Python.

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
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 - AI Vibe Coding with Python

Course Code: TGS-2019504591

WSQ
SFC
PSEA
UTAP
SFEC
Absentee Payroll
MCES
Free AI Subscription

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In today’s fast-paced digital environment, the ability to rapidly build and deploy applications is a key skill for developers and professionals alike. This course, AI Vibe Coding with Python, equips learners with practical skills to develop Python-based solutions using a modern, prompt-driven development approach.

Designed for learners with foundational Python knowledge, the course focuses on applying intermediate concepts such as data structures, algorithms, and the use of Python libraries within real-world application scenarios. Through Vibe Coding workflows, learners will leverage AI-assisted development techniques to accelerate coding, improve productivity, and streamline the application development lifecycle.

Participants will engage in hands-on projects to design, build, and deploy Python applications across different domains, including automation, web applications, and data-driven solutions. The course emphasizes the end-to-end development process, from ideation and implementation to testing, version control, deployment, and basic CI/CD practices.

By the end of the course, learners will be able to develop scalable Python applications, apply AI-assisted coding techniques effectively, and deploy solutions in a structured and efficient manner. This enables learners to tackle more complex development challenges and contribute to real-world projects with confidence.

This course is suitable for aspiring developers, IT professionals, and individuals looking to enhance their capabilities in Python programming, application development, and AI-assisted (Vibe Coding) workflows.

Complete this course and, as a Singapore Citizen aged 18 or above, redeem a 6-month free subscription to a premium AI tool — ChatGPT Plus, Google AI Pro, Manus AI, Microsoft 365 Personal or Singtel AI Pass — so you can keep practising what you learn.

After the course, SWDA emails you a redemption form; choose your tool within 60 days. One subscription per person, and the course must end on or after 16 Sep 2026. How redemption works

Full Fee $750.00 Before GST

GST $67.50 9% of fee

Baseline Nett $442.50 SG/PR age 21+ · 50% funded

MCES / SME Nett $292.50 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

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.

Direct Application on SkillsFuture Portal

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.

Submit UTAP Claim

PSEA

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

Check PSEA Eligibility

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, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

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.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
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 Build Functional Python Apps with Vibe Coding

Topic 2 Deploy Python Apps on Streamlit

Topic 3 Build OOP Python Apps with Vibe Coding

Topic 4 Database Integration with Vibe Coding

Topic 5 Error Handling with Vibe Coding

Written Exam
Case Study
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:

Python 3 – free
Visual Studio Code – free
Google Colab – free, runs in the browser with a Google account
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-2019504591.
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.

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.

How to Claim the Free AI Tools Subscription

Singapore Citizens aged 18 and above who complete this course can redeem a free 6-month subscription to ChatGPT Plus, Google AI Pro, Manus AI, Microsoft 365 Personal or Singtel AI Pass (six AI tools). The course must end on or after 16 September 2026, and each person can redeem one subscription only, however many eligible courses they take.

Optionally, take the AI Ready Quiz on MySkillsFuture to check your AI readiness level.
Enrol in this course, which carries the Free AI subscription label on MySkillsFuture.
Attend and successfully complete all course requirements.
Watch for the redemption email from SWDA with the subscription request form (check your spam folder).
Choose your AI tool and submit the form within 60 days of receiving the email. You cannot change your choice afterwards.
Follow the activation instructions in the confirmation email.

Full details: MySkillsFuture and our claim 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

Aspiring Software Developer
Data Analyst
Web Developer
Automation Engineer
Data Scientist
System Administrator
Bioinformatics Specialist
Research Scientist
Finance Professional
Machine Learning Enthusiast
GIS (Geographic Information System) Specialist
IT Consultant
Network Engineer
Database Administrator
Tech Entrepreneur.

Trainers

Dr. Alfred Ang uses Python to solve real problems in the training business he leads, building AI-powered tools that generate courseware, course proposals and compliance documents. He is Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, the founder of Tertiary Courses, and a full-stack AI developer and Agentic AI solution architect who builds RAG pipelines, multi-agent systems and cloud-native platforms on AWS and Kubernetes. He holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a Graduate Diploma in Intelligent Robotics Systems from NUS-ISS, and he is a Microsoft Certified Data Scientist (DP-100), an AWS Certified AI Practitioner and an IBM certified instructor for the AI Practitioners course. His 300+ public GitHub repositories include ssg-ato-generator, a Streamlit app that produces branded SOP Word documents for SkillsFuture Singapore registered training partners with auto-extracted company details, Graphviz org charts and flowcharts; wsq-casl-cp-generator, a Streamlit web app for preparing WSQ and CASL course proposals with Claude Code content generation; and a WSQ courseware generation platform built with the Claude Agent SDK and Streamlit. His data-mining-ml-labs repository offers interactive Python and Streamlit labs for beginners in data mining and machine learning. He has also published more than 20 peer-reviewed papers. He is also a co-inventor of more than 20 US patents and holds a B.Sc (Hons) in Physics from NUS, giving him a strong analytical foundation for algorithmic thinking.

This WSQ course is aimed at learners with foundational Python knowledge who want to apply intermediate concepts such as data structures, algorithms and Python libraries in real applications, using a prompt-driven vibe coding approach. Dr. Ang structures it around five practical outcomes. Learners first build functional Python apps by describing requirements to an AI assistant and reviewing the code it produces, then deploy those apps on Streamlit so they run in a browser and can be shared with colleagues. Next comes object-oriented Python, where he shows how to prompt for sensible classes, methods and inheritance and how to refactor code when the AI's first attempt is too clever or too long. The final topics cover database integration, connecting apps to persistent storage, and error handling with exceptions, logging and input validation, the areas where generated code most often needs a careful human review. Because his own Streamlit tools generate formal documents that must be accurate, he places real emphasis on testing and verification rather than accepting output that merely looks right. As an ACTA-certified trainer and DACE-certified curriculum developer, he reinforces each topic with guided labs and checkpoints aligned to the WSQ assessment, so learners build skills step by step and leave with working, deployed applications and a reusable workflow for future projects. Learners are encouraged to explain each generated function in their own words before moving on. To explore his Python and Streamlit projects, visit his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Solomon Soh is a data scientist and AI trainer with a strong track record in delivering advanced Python programming and machine learning solutions. Having worked with organisations such as IBM, Workforce Optimizer and Certis Cisco, he has led projects in natural language processing, computer vision, reinforcement learning and predictive analytics. He has served as lead instructor for data science bootcamps and corporate training, has supervised more than 20 applied projects in Python and data science, and holds certifications in AI engineering, cloud computing and agile methodologies. He also holds a double degree from Singapore Management University (Summa Cum Laude), an MBA and a Master's in Financial Engineering.

In WSQ AI Vibe Coding with Python, Solomon draws on his experience guiding learners through coding best practices and software engineering workflows. Learners build functional Python apps with vibe coding, deploy them on Streamlit, create object-oriented applications, integrate databases and implement error handling. He places particular emphasis on object-oriented programming principles, helping learners steer AI assistants towards modular, reusable and scalable code. Bridging theory with practice, he ensures participants leave able to use AI-assisted development to build working Python applications quickly, and to understand the code well enough to maintain and extend it in data science, AI and software projects.

Bernard Peh is an ACLP-certified principal trainer and data scientist with more than two decades of experience in data science, financial advisory and investments. As Senior Partner at Big Data Venture Capital (BigDataVC) and a trainer across multiple Accredited Training Organisations in Singapore, he has designed and delivered courses in Python programming, AI, data analytics and financial modelling. He specialises in Python programming and AI implementation, and is skilled at guiding learners from foundational coding to object-oriented programming. Bernard has trained corporate clients including Singtel, NCS and CapitaLand, and his leadership roles in financial advisory firms allow him to blend technical depth with business insight.

In WSQ - AI Vibe Coding with Python, Bernard combines his Python teaching experience with AI-assisted development. Learners build functional Python apps with vibe coding, deploy them on Streamlit, progress to object-oriented designs, integrate databases and apply structured error handling. His emphasis on modular program design and hands-on coding practice helps participants understand and improve the code that AI tools generate, rather than simply copying it. By the end of the course, learners can use prompt-driven workflows to build robust, maintainable Python applications that are relevant to their own work.

Dr Alvin Ang is a data science and AI trainer with a PhD in Operations Research from Nanyang Technological University. His expertise covers Python programming, object-oriented programming, machine learning and advanced data analytics, which he has applied in both research and consultancy. Over the past decade he has taught at NTU, SUSS, Curtin University and SP Jain School of Global Management, receiving multiple teaching awards. An ACLP-certified trainer with multiple IBM and Kaggle certifications in Python, data science and software development, he also founded the open-source data science community DataFrens.sg.

In WSQ AI Vibe Coding with Python, Dr Ang combines his extensive experience teaching Python in academic, professional and corporate settings with a modern, prompt-driven development approach. Learners build functional Python apps with vibe coding, deploy them on Streamlit, structure object-oriented applications, integrate databases and handle errors robustly. His OOP background is especially useful here, helping learners guide AI assistants towards modular, reusable code rather than one-off scripts. Participants leave with the confidence to direct AI coding tools, review and improve what they generate, and apply the same workflow to data science, AI and software development projects.

Shahul H. Maricar is an ACLP-certified trainer with over a decade of experience in software systems integration, coding and data science. With a strong foundation in both hardware and software development, he has delivered training in Python, JavaScript, HTML/CSS and embedded systems across corporate, academic and adult learning environments. As an associate trainer with Tertiary Infotech and other institutions, he has conducted WSQ programmes in Python programming, web development and product design. His Python expertise extends into modular design and algorithm development, and he emphasises problem-solving and hands-on practice in his teaching.

In WSQ - AI Vibe Coding with Python, Shahul brings this Python and data science background to a modern, prompt-driven development approach for learners with foundational Python knowledge. Learners build functional Python apps with vibe coding and deploy them on Streamlit, then build object-oriented Python apps, where his strength in modular design and algorithm development is especially valuable. The course continues with database integration and error handling using vibe coding. Throughout, Shahul helps participants understand and test the code AI tools generate rather than simply accepting it. Learners leave able to build and deploy robust, scalable Python applications more quickly and with confidence.