WSQ-accredited courses are eligible for SkillsFuture subsidies.

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Course Description

This course provides a practical, business-focused introduction to AI and Machine Learning for non-technical professionals. Through hands-on activities and real-world case scenarios, learners will explore key concepts like algorithmic predictions, generative content, and pattern recognition using no-code AI tools.

Learners will gain the skills to interpret AI outputs, evaluate tool capabilities, and identify how AI can streamline workflows, enhance decision-making, and solve workplace challenges.

Prerequisite

Participants should be familiar with basic digital tools (e.g. Google Workspace, Microsoft Office) and be open to experimenting with simple AI platforms like chatbots or Teachable Machine. No coding experience is required.

Target Audience

This course is suitable for professionals working in operations, marketing, project coordination, or digital initiatives who are keen to explore practical uses of AI tools in their work. It is relevant for individuals tasked with improving efficiency, experimenting with automation, or making sense of AI tool outputs in business contexts.

Course Highlights

In this AI and Machine Learning course, you will learn:

  • Learn the fundamentals of AI and ML and how they apply to business tasks
  • Explore supervised and unsupervised learning models through demos and peer practice
  • Use AI tools such as chatbots and Teachable Machine to automate tasks
  • Assess the feasibility of using AI in workplace projects
  • Apply structured prompts and interpret AI-generated outputs

Course Objectives

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

  • Define Generative AI and explain its workplace applications, including strengths and limitations of AI outputs
  • Analyse how algorithm design impacts business process efficiency, and differentiate suitable use cases where AI or ML applications can enhance outcomes
  • Apply AI tools such as chatbots or classifiers to automate routine tasks, and assess how these tools can improve process outcomes
  • Interpret AI-generated performance outputs such as confidence scores or predictions, and assess their business relevance and limitations
  • Evaluate and compare Artificial Intelligence (AI) applications based on workflow compatibility, data readiness, and effectiveness, and communicate suitable solution options to stakeholders

Certification

A SkillsFuture WSQ Statement of Attainment (SOA) – Artificial Intelligence Application in Product Development under the Skills Framework TSC and Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the AI and Machine Learning course assessment and achieved at least 75% attendance.

Course Outline

Instructor-Led | Mode of Delivery (Lecture & Illustration, Case Studies, Group Discussion)

  • Definition and types of AI and ML
  • Business applications of AI
  • Benefits and limitations of AI tools
  • Evaluating suitability of AI for workplace tasks
  • Case studies: successful and failed implementations

Instructor-Led | Mode of Delivery (Lecture & Illustration, Group Activity, Practical Examples)

  • How algorithms work
  • Business processes that benefit from automation
  • Matching AI methods to workflow problems
  • Comparing algorithm efficiency
  • Mapping tools to departmental needs

Instructor-Led | Mode of Delivery (Demonstration & Practical Application, Hands-On Exercises)

  • No-code AI and ML tools
  • Chatbots and guided automation
  • Image classification walkthroughs
  • Text generation demos
  • Evaluating gains in efficiency

Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Peer Practice)

  • Confidence scores and output interpretation
  • Common errors and AI limitations
  • Post-output decision-making
  • Aligning AI use with business goals

Instructor-Led | Mode of Delivery (Lecture & Illustration, Case Study, Group Discussion)

  • Tool selection frameworks
  • Stakeholder communication
  • Planning implementation
  • Ethical use and constraints

Course Fees

Course Fee:
S$990.00 (inclusive of 9% GST)

Course Fee After Eligible SSG Subsidies:
From S$297.00 (inclusive of 9% GST) after SSG Subsidies

 

SkillsFuture Mid-Career Enhanced Subsidy (MCES)

Eligible for Singapore Citizens, aged 40 years old and above

Nett course fee payable (including 9% GST): S$297.00

Course fees after subsidies can be further offset by SkillsFuture Credit.

SkillsFuture Baseline Funding

Eligible for 21 years old and above, and a

  • Singaporean Citizen; or
  • Permanent Resident; or
  • Long Term Visitor Pass Plus (LTVP+) Holder

Nett course fee payable (including 9% GST): S$495.00

Course fees can be further offset by SkillsFuture Credit for Singapore Citizens aged 25 and above. Singapore Citizens aged 21 to 31 may also offset fees with the Post Secondary Education Account Funds.

Enhanced Training Support for SMEs (ETSS)

Eligible for SME Company-Sponsored, 21 years old and above, and a

  • Singapore Citizen; or
  • Permanent Resident; or
  • Long-Term Visitor Pass Plus (LTVP+) Holder

Nett course fee payable (including 9% GST): S$297.00

Course fees after subsidies can be further offset by Skillsfuture Enterprise Credit (SFEC)

SkillsFuture Baseline Funding

Eligible Non-SME Company-Sponsored, 21 years old and above, and a

  • Singaporean Citizen; or
  • Permanent Resident; or
  • Long Term Visitor Pass Plus (LTVP+) Holder

Nett course fee payable (including 9% GST): S$495.00

Course fees after subsidies can be further offset by Skillsfuture Enterprise Credit (SFEC)

SkillsFuture Mid-Career Enhanced Subsidy (MCES)

Eligible for Non-SME Company-Sponsored, Singapore Citizens, aged 40 years old and above

Nett course fee payable (including 9% GST): S$297.00

Course fees after subsidies can be further offset by Skillsfuture Enterprise Credit (SFEC)

Check your eligible grant amount and nett payable course fees when you apply now.

Frequently Asked Questions (FAQs)

This course is ideal for professionals in operations, marketing, digital transformation, or project coordination who want to explore AI and ML for productivity and decision-making improvements.

No. This course is designed for non-technical professionals and focuses on no-code AI and ML tools.

Learners will work with tools such as chatbots, Teachable Machine, and other simple AI-powered automation and content-generation platforms.

Yes. The course introduces key AI and ML fundamentals, supervised and unsupervised models, and practical use cases.

Absolutely. The course includes demos, exercises, and peer practice sessions with AI and ML tools.

 You will be able to evaluate AI’s potential in your workflows, apply AI tools to automate tasks, and interpret AI outputs for better decision-making.

WSQ AI and Machine Learning Course

Build Smart Workflows with AI and ML Tools

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