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AI for Shopify eCommerce

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

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.

Course Brochure

Download Course Brochure

Certification

  • 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.

AI for Shopify eCommerce

Course Code: C398

9 Review(s) | Add Your Review

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What's This Course About

This course equips participants with practical skills to build, manage, and enhance a Shopify eCommerce store using Artificial Intelligence (AI). Learners will explore how AI tools can support key stages of eCommerce development, from setting up the storefront and creating product content to improving customer experience and streamlining day-to-day store operations.

Participants will learn to configure Shopify themes, product catalogues, collections, inventory, orders, customers, discounts, and essential store settings. They will use AI to generate and refine product titles, descriptions, images, promotional content, SEO keywords, and marketing materials. The course also explores how AI can support personalised customer experiences, customer enquiries, product recommendations, and eCommerce marketing activities.

Learners will gain hands-on experience using Shopify's built-in features and AI capabilities to optimise store content, improve search visibility, analyse sales and customer data, and identify opportunities for business improvement. Key considerations such as payment setup, shipping, store security, testing, and publishing will also be covered.

By the end of the course, participants will be able to create and manage a professional Shopify eCommerce store and apply AI effectively to improve content creation, marketing, customer engagement, operational efficiency, and data-driven decision-making to support eCommerce business growth.

Funding Options

No funding is available for this course

For CASL funding, please checkout the details at CASL - AI for Shopify eCommerce Store

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

* Required Fields

Additional Note

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

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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

Topic 1: AI Vibe Coding for eCommerce Store Setup and CMS

Topic 2: Product Catalogue and Web Content Management

Topic 3: AI-Assisted Storefront and Customer Experience Customisation

Topic 4: Shopping Cart, Checkout and Order Management

Topic 5: Payment, Tax, Shipping and Fulfilment Integration

Course Info

Prerequisite

No prior eCommerce or coding experience is required. Participants should be comfortable using a computer and a web browser.

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • Data analysts
  • Financial analysts
  • Marketers
  • Researchers

Trainers

Trainers

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally

Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing. Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.

Review

Customer Reviews (9)

Will Recommend Review by Course Participant/Trainee
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
Nil (Posted on 5/21/2018)
Might Recommend Review by Course Participant/Trainee
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 agenda is well structured and the content is good. It would be better if this is 2 day course with more hands on practice.

The lecturer is friendly and passionate about the subject, and the quiet environment is excellent for the class (Posted on 2/26/2018)
Will Recommend Review by Course Participant/Trainee
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
Weekend is better for me. For today, i have to use my annual leave. Even i want to attend some courses, weekdays are not good for me. (Posted on 12/12/2017)
Will Recommend Review by Course Participant/Trainee
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
May wish to consider putting together all the visualization plots and create a gallery for the course promotional materials

Can send participants the list of packages to install in advance to save on downloading and installing time (Posted on 8/28/2017)

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