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CASL - AI for eCommerce

Sessions 1 day
Duration 8 hrs
Level Beginner
Assessment 1 hr

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: Content Management System Utilisation
TSC Code: RET-CIE-4002-1.1

Funding for this course is valid from 17 Jun 2026 to 16 Jun 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: Setup and monitor WooCommerce CMS to ensure adherence to guidelines and policies
LO2: Edit and curate product website on WooCommerce CMS
LO3: Maintain product web content on WooCommerce CMS
LO4: Recommend payment and shipping methods on WooCommerce CMS to improve customer experience
LO5: Manage issues related to WooCommerce CMS such as sales, out-of-stock, promotion etc.
LO6: Manage WooCommerce CMS performance

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.

CASL - AI for eCommerce

Course Code: TGS-2026064474

CASL
SFC
SFEC
Absentee Payroll
MCES

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AI for eCommerce equips participants with practical skills to use artificial intelligence to create, manage and optimise online retail operations. Learners will explore how AI can support product research, generate compelling product descriptions and visual content, personalise customer experiences, automate routine tasks and improve store performance.

The course covers essential eCommerce functions, including product catalogue management, inventory, payment gateways, shipping options, order fulfilment and search engine optimisation. Participants will apply generative AI to develop marketing content, customer communications, promotional campaigns and personalised product recommendations. They will also learn to use AI-powered chatbots and automation tools to respond to enquiries, support customers and streamline order-related workflows.

Participants will analyse sales trends, customer behaviour and key performance indicators using AI-assisted analytics. These insights will help them identify opportunities, forecast demand and make data-driven decisions to improve conversions and customer retention. Responsible AI practices, including data privacy, content accuracy and human review, are also addressed.

By the end of the course, participants will be able to integrate AI into key eCommerce processes, enhance customer engagement, improve operational efficiency and develop effective strategies for sustainable online business growth.

Full Fee $350.00 Before GST

GST $31.50 9% of fee

Baseline Nett $206.50 SG/PR age 21+ · 50% funded

MCES / SME Nett $136.50 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

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: AI-Enabled eCommerce Store Setup and Content Management

Topic 2: AI-Assisted Product Catalogue and Web Content Management

Topic 3: Payment, Shipping and Customer Experience Optimisation

Topic 4: AI-Powered Sales, Order and Promotion Management

Topic 5: eCommerce Analytics and Performance Optimisation

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:

Local (WordPress development environment) – free
WooCommerce plugin for WordPress – free

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-2026064474.
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

eCommerce Manager
WooCommerce Developer
Web Developer (with eCommerce focus)
Digital Marketing Specialist
Online Store Owner
Product Listing Specialist
eCommerce Consultant
Dropshipping Business Owner
Online Retail Strategist
Web Designer (specializing in online stores)
User Experience Designer (for eCommerce)
Inventory Management Specialist (online)
Digital Sales Analyst
Payment Gateway Integrator
SEO Specialist (for online shops)

Trainers

Dr. Alfred Ang has built and run commerce platforms from both sides of the checkout. As an entrepreneur, he established Eco City Hydroponics, the first online gardening store in Singapore, and founded OSWeb2Design Singapore Pte Ltd in 2007, offering e-commerce store development and digital marketing services. As a full-stack AI developer and Agentic AI solution architect, he now builds AI-powered marketplaces and payment flows, many of them visible in his GitHub portfolio of more than 300 public repositories. The ai-exams platform sells certification practice-exam bundles with free teasers and multi-gateway checkout through Stripe, PayPal, HitPay and PayNow; potluck is a marketplace connecting home chefs with diners in Singapore, with native iOS and Android companion apps; sgtutors handles tutor listings, verification payments through Stripe PayNow and a Claude AI interview; and tapcard combines digital business cards with lead capture and a Kanban sales pipeline. He serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founded Tertiary Courses, where the course-registration storefront itself runs on an e-commerce engine. He holds a PhD in Electrical Engineering from NUS and an MSc in Electrical and Electronic Engineering from NTU, and is a Microsoft Certified Power BI Data Analyst (PL-300) and AI Engineer Associate (AI-102), an AWS Certified AI Practitioner and CompTIA Security+ certified. He also built localtourguides, a marketplace for verified local tour guides across Singapore, Malaysia, China, Japan and Korea, using React, Express and PostgreSQL.

In CASL AI for eCommerce, Dr. Ang equips participants to use AI across the full life of an online store. Topic one covers AI-enabled store setup and content management, and topic two applies generative AI to the product catalogue and web content, from product research and descriptions to images and search engine optimisation. Topic three addresses payment, shipping and customer experience optimisation, where his work integrating several payment gateways helps learners understand the choices behind a smooth, trustworthy checkout. Topic four covers AI-powered sales, order and promotion management, including personalised recommendations, customer communications and campaign content, and topic five turns store data into insight through eCommerce analytics and performance optimisation, drawing on the reporting discipline behind his PL-300 certification. He is practical about where AI helps most, such as drafting large catalogues, spotting patterns in sales data and automating routine customer replies, and about where human judgement must remain, such as pricing decisions, product claims and handling complaints. His security background adds sensible guidance on protecting customer and payment data. As an ACTA-certified trainer and DACE-certified curriculum developer, he runs the course with hands-on activities built around each participant's own products or business idea, so the techniques are immediately usable. Participants leave able to create, manage and optimise online retail operations with AI as a dependable assistant. He also covers inventory, order fulfilment and shipping options, so participants can configure a store that runs reliably day to day. To see the marketplaces and checkout systems he has built, explore his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Allen Wong is a seasoned digital marketing strategist and CEO of Medistation Pte. Ltd., with a strong track record of driving over $5 million in revenue through e-commerce and digital campaigns. In earlier roles as a marketing manager and consultant, he enhanced online presence, optimised SEO and managed digital operations for multiple organisations. Allen is ACLP-certified and combines entrepreneurial and teaching expertise, which makes him an effective mentor for people building or growing online stores.

This CASL course, AI for eCommerce, covers how AI can support every stage of running an online store. Participants set up an AI-enabled store and manage its content, use AI to build product catalogues and web content, optimise payment, shipping and customer experience, manage sales, orders and promotions with AI, and analyse eCommerce performance. In his e-commerce training Allen emphasises user-friendly stores that integrate seamlessly with digital marketing, guiding participants through store setup, product optimisation, analytics and customer engagement. Drawing on real-world business cases, he helps learners balance technical functionality with strategic growth so they can maximise conversions and build scalable e-commerce businesses.

Patrick Foo is an ACTA-certified trainer with extensive experience in adult learning and digital business training. He has worked with diverse learners, helping them acquire practical skills in digital platforms, online marketing and e-commerce, and specialises in breaking down complex e-commerce concepts into simple, actionable steps that participants can apply immediately to their businesses. His e-commerce training guides learners through setting up and managing WooCommerce stores, covering product listings, payment integration, inventory management and customer engagement strategies.

In AI for eCommerce, he builds on this store-building experience to show how artificial intelligence can support online retail operations. Learners use AI to set up a store and manage content, build the product catalogue and web content, and optimise payment, shipping and the customer experience. They then apply AI to sales, order and promotion management, and use eCommerce analytics to improve performance, from generating compelling product descriptions and visuals to automating routine tasks. His hands-on teaching style helps participants build confidence step by step, so entrepreneurs and business owners leave able to design, launch and optimise an online store that uses AI for sustainable growth.

Ray Teoh (Tham Kim) is a digital marketing veteran with over 23 years of experience leading marketing and e-commerce initiatives across Singapore, Malaysia and Greater China. He has held senior leadership positions at Singapore Press Holdings, Innity and iClick Interactive, achieving milestones such as increasing revenue by 400% at SPH and driving iClick to profitability. As Director of eDragon Group, he focuses on digital growth strategies using platforms such as Baidu, WeChat, Douyin and Ctrip. An ACLP-certified trainer, he has conducted digital marketing and e-commerce programmes with institutions such as SIRS (NYP) and the Singapore Productivity Centre, including WooCommerce training.

In AI for eCommerce, Ray applies this e-commerce and digital growth experience to the use of AI across online retail operations. Learners use AI to set up their store and manage content, build the product catalogue with compelling descriptions and visuals, and optimise payment, shipping and the customer experience. They then apply AI to sales, order and promotion management, and use eCommerce analytics to improve store performance. Drawing on his knowledge of local and international digital ecosystems, Ray helps participants connect their online stores to broader marketing and sales strategies, so they can personalise customer experiences, automate routine tasks and run higher-performing eCommerce operations.

Janice Ong is an ACLP-certified trainer and e-commerce consultant with over 20 years of experience in business development, sales and digital marketing. She has worked globally in the technology and engineering sectors, holding senior business and marketing roles before moving into training. As a freelance trainer, she has taught digital marketing, SEO and e-commerce to learners ranging from business leaders to students. She specialises in e-commerce store creation using WooCommerce, Shopify and WordPress, and her training covers every stage of online store development, from setup and customisation to payment integration and optimisation for sales.

In AI for eCommerce, she shows learners how artificial intelligence can support each part of running an online retail business. Participants use AI to set up a store and manage content, build the product catalogue and web content, and optimise payment, shipping and the customer experience. They then apply AI to sales, order and promotion management, and use eCommerce analytics to improve store performance, from generating product descriptions and visual content to automating routine tasks and personalising the customer experience. With her strong commercial background and learner-centred approach, she helps participants leave able to build professional, scalable eCommerce operations that drive measurable business results.