Diploma in Applied AI (Artificial Intelligence) for eCommerce (Mandarin)
Overview
The field of AI in eCommerce is fast-evolving. This diploma program covers practical applications of AI across online business planning, digital marketing, customer engagement, and growth strategies. It is designed for individuals looking to build career-ready skills or pursue professional certifications in AI-powered eCommerce and digital business.
Objective
This diploma equips adult learners with practical, job-ready AI skills for the eCommerce sector. It helps bridge the AI skills gap and supports Singapore’s Smart Nation and Digital Economy goals. Students will learn to use AI tools to build, market, and grow online businesses—enhancing both employability and entrepreneurial potential.
Course Information
Course Structure
The course consists of 5 modules:
Unit 1 Introduction to AI and Its Applications
Unit 2 eCommerce Foundations — Building Business Plan and Channels
Unit 3 eMarketing — Building Your Brand, Content System, and Campaigns
Unit 4 Building User Connections — Storytelling, Live Engagement, and Asset Rebuilding
Unit 5 Growth — Scaling, Optimization, and Team/Partner Management
Module Outlines
Unit 1 Introduction to AI and Its Applications
This module introduces the fundamentals of Artificial Intelligence (AI), including how AI models work, how services are priced, and key ethical and data considerations for business use. Learners will gain an overview of different AI types, practical tools, and responsible practices for using AI effectively and safely.
Learning Outcomes:
Differentiate between traditional Machine Learning and Generative AI technologies.
Understand AI service pricing, including token-based usage and model selection.
Describe how AI powers reasoning, content generation, and multimodal applications.
Build and customize simple AI agents for tasks and workflows.
Locate and apply effective prompts using curated marketplaces and libraries.
Compare global AI ecosystem, and understand open-source vs proprietary models.
Recognize key data governance and intellectual property issues in AI deployment.
Apply responsible AI practices, such as disclosing AI-generated content and avoiding misuse.
Unit 2 eCommerce Foundations — Building Business Plan and Channels
This module focuses on using AI tools to develop a practical eCommerce business plan and launch initial sales channels. Learners will map the end-to-end journey of starting an online business, from ideation and validation to store setup and scaling. Through hands-on activities and AI-powered support, they will gain the skills to plan, validate, and build their first digital storefront.
Learning Outcomes:
Understand the eCommerce journey from ideation to scaling.
Use ChatGPT to plan a business model with tools like the Business Model Canvas.
Conduct early product research using platforms like Google Trends and SimilarWeb.
Write a business plan with AI assistance for faster, clearer articulation.
Compare and select suitable sales channels.
Build and launch your first online store or product listing.
Unit 3 eMarketing — Building Your Brand, Content System, and Campaigns
This module focuses on how to leverage AI tools to build a strong brand, automate marketing content creation, and execute data-driven campaigns. Learners will use AI to shape brand identity, generate campaign ideas, produce consistent content, and track performance through intelligent dashboards. The goal is to enhance marketing efficiency while staying aligned with brand strategy.
Learning Outcomes:
Define brand identity elements using AI, including value propositions, personas, and visual style.
Automate content systems with AI-generated taglines, tone guidelines, and templates.
Use AI tools for campaign brainstorming, creative generation, and design collaboration.
Track marketing performance using AI dashboards focused on hooks, reach, acquisition, and retention.
Unit 4 Building User Connections — Storytelling, Live Engagement, and Asset Rebuilding
This module explores how advanced AI tools can be used to enhance customer engagement, deepen brand storytelling, and scale communication across borders. Learners will use AI to craft interactive narratives, automate customer service, manage branded content assets, and communicate effectively with international audiences.
Learning Outcomes:
Use AI to script brand stories and interactive live experiences.
Set up AI-driven customer support systems such as chatbots and smart FAQs.
Manage and refresh visual assets while maintaining brand consistency.
Apply AI tools (e.g., avatars and translation) for cross-border communication.
Unit 5 Growth — Scaling, Optimization, and Team/Partner Management
This module focuses on how to scale eCommerce operations using AI—from optimizing sales and inventory to managing remote teams and ensuring responsible AI usage. Learners will explore predictive tools, automation strategies, and multilingual expansion techniques, while also learning how to build transparency and trust when deploying AI in customer-facing processes.
Learning Outcomes:
Apply predictive AI to optimize sales forecasting and inventory operations.
Implement dynamic pricing strategies and AI-powered personalization.
Use AI to support remote collaboration via SOPs, asset libraries, and project dashboards.
Deploy multilingual tools and best practices for cross-border localization.
Scope of Study
Principles, theories, case studies, research work
Delivery Mode
PPT Lectures, case studies, tutorials, discussion, team work, field trips, real life experience, presentation and role play etc.
Commencement Dates/Intakes
Click to view course intakes from website.
Course Duration
Full-time
Full-time: 6 months institutional training + 6 months industry attachment
Maximum allowable period to complete the course is 12 months from date of course commencement
Part-time
Part-time: 6 months of institutional training
Maximum allowable period to complete the course is 12 months from date of course commencement
Class Period
Full-time
5 session per week x 3 hours per session
Total course hours: 360
Part-time
1 session per week x 6 hours per session
Total course hours: 360
For Part-time: plus Weekend-Friday night, case studies: 3hours, Weekend-Saturday, assignment workshop: 3hours and Weekend-Sunday, group discussion: 3hours which make a total hours of 216 hours plus 144 hours equal to Total 360 course hours
Payment Mode
Click to view details on payment mode
Click to view details on Fee Protection Scheme (FPS)
For further information or clarification, please call our Student Support
Services Officer at +65 6221 0603
Assessment Methods
No
Assessment Type
Mark allocation
1.
Course work assignment
100%
Assessment Grading Criteria
Grade
Marks
Distinction
80 and above
Merit
65 to 79
Pass
50 to 64
Fail
to 49
Expected Examination Results Release Dates
Assessment results shall be released within 3 months upon completion of the last assessment.
Qualification Awards
Diploma in Applied AI (Artificial Intelligence) for eCommerce will be awarded by British Education Centre
Graduation Requirements
Achieve a Pass grade in all units, plus a Pass in the Industry Attachment (IA); where IA is unavailable, Project Work may be substituted as an alternative
Teacher Qualifications
The Committee for Private Education (CPE) is duly notified on all teachers in British Education Centre. All teachers have the required qualifications. Please refer to our Teachers list in the website for more details.
Average Teacher-Student Ratio is 1:30
Please note that the maximum number of students in the classroom is subjected to the maximum allowable seating capacity
Progression Pathway
Students who successfully complete the Diploma in Applied AI for eCommerce may consider progressing to higher-level courses in AI-driven digital commerce or advanced AI marketing offered by digital business and marketing institutes.
Entry Requirements
Age and Academic:
Age: At least 16 years old
Academic: Minimum 3 Passes at GCE ‘O’ Level or Completion of Secondary or High School or Equivalent
For mature candidates who does not meet the above MER, the candidate must be at least 30 years old with 8 years working experience
Language Proficiency: Pass in Mandarin at GCE C6 Level or High School or Equivalent.
