AIM-READY: Quality Assurance* (16 Hours)

*This is a non-WSQ module.
Aim Ready Quality Assurance

Introduction

In the era of smart manufacturing, AI-powered vision inspection has become a key enabler of automated quality assurance. By integrating computer vision, machine learning, and intelligent decision-making, these systems improve inspection accuracy, adaptability, and efficiency while reducing reliance on manual processes. To fully realise this impact, however, organisations must first be ready — technically and operationally — before moving to full implementation and scaling.

AI Inspection

About This Programme

This programme equips participants with the knowledge and practical skills to lead AI vision inspection initiatives in their organisations. Participants will learn to identify suitable AI-enabled visual inspection use cases, define measurable quality objectives, assess image data and imaging system readiness, evaluate AI vision approaches, determine production system integration requirements, and assess implementation feasibility and business value. Through real-world manufacturing case studies, structured readiness assessments, and project-based learning, participants will develop an individual AI vision inspection implementation roadmap and adoption proposal for a workplace-relevant quality assurance use case. No prior coding or AI model development experience is required, though participants are expected to have a basic understanding of manufacturing, quality assurance, inspection, or production processes.

Who Should Attend

This course is designed for professionals in manufacturing sectors where product quality, defect detection, process consistency, and traceability directly impact operational performance, regulatory compliance, and customer satisfaction. Relevant sectors include precision engineering, electronics and semiconductors, aerospace, automotive, medical devices, food and beverage, and other advanced manufacturing environments.
It is particularly suited for quality managers and engineers, manufacturing and process engineers, automation and machine vision engineers, production managers and supervisors, continuous improvement teams, digital transformation teams, project managers, AI initiative owners, and business or technical leaders responsible for evaluating or implementing AI-enabled quality assurance applications.


Course Outline

This course takes participants through a structured and practical learning journey, building the knowledge and skills needed to drive AI vision inspection initiatives within their organisations. From identifying opportunities to developing a concrete adoption plan, each stage of the implementation process is covered in a clear and applied manner. Specifically, participants will be able to:

  • Identify AI quality assurance opportunities
  • Assess image data readiness 
  • Plan AI deployment and integration
  • Define inspection use cases and KPIs
  • Evaluate imaging system requirements
  • Develop AI implementation roadmap

Upon Completion Of This Course

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and/or ARTC if they meet the following criteria:

  • Achieve at least 75% course attendance;
  • Take all assessments; and
  • Pass the course.

Note: Trainees will have to bear the full course fee upon failure to meet either one of the criteria.

Pre-Requisites

  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  • Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.
  • Proficiency in written and spoken English.

Full Course Fee

The full course fee for this course is $1,600 before funding and prevailing GST.

Nett Course Fee

International
Participants
Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above (MCES) ² SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$1,744 $523.20 $203.20 $203.20
All fees are inclusive of GST 9%.
Please note that fees and funding amounts are subject to change.

Long Term Visit Pass Plus (LTVP+) Holders

The Long Term Visit Pass Plus (LTVP+) scheme applies to lawful foreign spouses of Singapore Citizens with 
(i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and
(ii) where the Singapore Citizen sponsor is able to support the family.

All LTVP+ holders can be identified with their green visit pass cards, with the word 'PLUS' printed on the back of the card.

¹ Enhanced Training Support For Small & Medium Enterprise Scheme (ETSS)

The ¹Enhanced Training Support for Small & Medium Enterprises scheme (ETSS) supports company-sponsored participants with up to 90% course fee subsidies.  To qualify, both the employers and trainees must meet the following eligibility criteria.

  • Eligible Small & Medium Enterprises (SMEs) must meet all of the following conditions:
    • Registered or incorporated in Singapore
    • Employment size of not more than 200 employees, or annual sales turnover of not more than $100 million

  • SME-sponsored trainees must meet all of the following:
    • Singapore Citizen or Singapore Permanent Resident
    • Course fees are fully paid for by the employer
    • Trainee is not a full-time national serviceman
Further Information:
This scheme is intended for all organisations, including non-business entities not registered with ACRA, for example, Voluntary Welfare Organisations (VWOs), societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under the Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.
² SkillsFuture Mid-Career Enhanced Subsidy (MCES)

The ²SkillsFuture Mid-Career Enhanced Subsidy (MCES) is meant for employer-sponsored and self-sponsored Singapore Citizens aged 40 years old and above.

Eligible Singapore Citizens can receive higher subsidies of up to 90% of course fees.

SkillsFuture Credit (SFC)

All Singapore Citizens aged 25 years old and above are eligible for SkillsFuture Credit (Opening Credit), which can be used to offset course fees (for self-sponsored registrations only).

SkillsFuture Credit (Mid-Career)

The SkillsFuture Credit (Mid-Career) is only applicable for the full A*STAR SkillsFuture Career Transition Programme (SCTP) enrolments, and cannot be used for standalone or individual module sign-ups.


How Course Fees are Calculated

TYPE CATEGORY OF INDIVIDUALS
International Participants  Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
FUNDING SOURCE
 Not applicable for Funding Support SkillsFuture Funding (Baseline) SkillsFuture Mid-career Enhanced Subsidy (MCES) ² SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee $1,600  $1,600  $1,600  $1,600 
Funding Support Not Applicable   ($1,120) ($1,440) ($1,440)
Nett Course Fee $1,600 $480  $160 $160
GST 9% $144  $43.20*  $43.20*  $43.20*
Total Nett Course Fee Payable to Training Provider $1,744 $523.20  $203.20  $203.20
* Based on 30% of Full Course Fee

About the Trainers

Dr Wang Zhenbiao
Mr Simon Chin
Mr Naveen Gnanaprakasam
Mr Sean Ang
Ms Nurul Atiqah
Ms Han Jun

Registration

Sign up now

  • Please register for this course through our online form: Course Registration Form for Public Classes.
  • For the first question, please select "Modular Programmes (Standalone Modules)".
  • Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
  • When the next intake is confirmed, a confirmation email with payment information will be sent to applicants to finalise their participation.

Collateral

Download brochure

Aim Ready Quality Assurance


Contact Us

Technical Enquiries General Enquiries

Dr Wang Zhenbiao
Email: wang_zhenbiao@a-star.edu.sg 

Knowledge Transfer Office,
Email: KTO-enquiry@a-star.edu.sg

Schedule

Module
Skills Course Reference Number Next Intake(s)' Training Period
(Click on the dates to view their schedules)
Registration Status 
  • AIM-READY: Quality Assurance (16 hours)
TGS-2026065356 The schedule for the next intake is still in the planning stage.  

Note: A*STAR SIMTech and A*STAR ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.

Announcement:

  • From 1 Oct 2023, attendance-taking for SWDA-approved/SWDA-funded courses must be done digitally via the Singpass App. More information may be viewed here.
  • Participants will be provided with digital course materials when attending our courses. Please note that printed copies will not be available.
Sessions
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening