Intelligent Inspection for Digital Manufacturing* (24 Hours)

*This is a non-WSQ module.
Intelligent Inspection for Digital Manufacturing
 

Introduction

In Industry 4.0, digital technologies make manufacturing more agile, flexible and responsive to the customers. Nowadays, it is able to have a smart and digital factory where advanced technologies (IoT, 5G, Machine Learning, Deep Learning, etc.) work together to optimise the manufacturing process and improve customer satisfaction.

Machine vision systems together with automated image-based analysis offer manufacturers a certain level of assurance in product quality inspection. For inspection in quality assurance process, deep learning turn out to be a game changer as it is powerful in the way of mimicking human intelligence to distinguish anomalies in complex patterns.

About the Programme

Participants will learn the principles of deep learning and the practical process of developing models that perform reliably in manufacturing environments. The course covers typical deep learning applications for inspection, common challenges in real deployment, and current research directions and industry best practices. Delivered over three full-day sessions, it includes hands-on training using both commercial software and open-source frameworks to strengthen understanding and build practical capability. By the end of the course, participants will be able to develop and apply deep learning models for their own inspection use cases.

AI Segment (What’s Covered in AI)

This programme focuses on AI-powered visual inspection using modern deep learning—especially Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs)—for image classification and segmentation tasks such as defect and anomaly detection. Participants will work through the end-to-end AI workflow, including data preparation and augmentation, model selection, training, validation, performance evaluation, and deployment, to design, train, and evaluate inspection-ready AI models.
AI

Who Should Attend

This course is relevant for business owners and management with intention to have a first understanding of or to develop capability of deep learning for industry intelligent inspection applications.

Moreover, it is applicable to Individuals and staff who are currently employed or wish to be employed in visual inspection/image processing related fields, seeking to have a first understanding of the deep learning technologies.

A typical candidate profile could be a/an:

  • Quality Control Manager/Engineer
  • Machine Learning Engineer
  • Production Supervisor/Manager

What Our Trainees Say

Course Outline

The programme employs the Learn-Practise-Implement™ (LPI™) pedagogy, where fundamental knowledge and principles taught will be reinforced with hands-on practices.

Key focus areas or applications:

  • Data collection and preparation
  • Deep learning principles
  • Perform segmentation task
  • Deep learning neural networks
  • Model training and evaluation
  • Deep learning applications

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 $1,920 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 older (MCES) ² SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$2092.80 $627.84 $243.84 $243.84
All fees are inclusive of GST 9%.
Please note that fees and funding amount are subject to change.

Long Term Visit Pass Plus (LTVP+) Holders

  • The 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.

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

SMEs that meet all of the following eligibility criteria:

  • Registered or incorporated in Singapore
  • Employment size of not more than 200 or with annual sales turnover of not more than $100 million

SME-sponsored Trainees:

  • Must be Singapore Citizens or Singapore Permanent Residents.
  • Courses have to be fully paid for by the employer.
  • Trainee is not a full-time national serviceman. 

Further Info: This scheme is intended for all organisations, including non-business entities not registered with ACRA e.g. VWOs, societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.

SkillsFuture Mid-Career Enhanced Subsidy (MCES)

SkillsFuture Credit

For more information on the funding support schemes you are eligible for, please visit www.skillsfuture.gov.sg

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 SMEs-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 $1,920   $1,920 $1,920   $1,920
Funding Support Not Applicable   ($1,344)  ($1,728)  ($1,728)
Nett Course Fee $1,920  $576  $192 $192
GST 9% $172.80  $51.84*  $51.84*  $51.84*
Total Nett Course Fee Payable to Training Provider $2,092.80 $627.84  $243.84  $243.84
* Based on 30% of Full Course Fee

About the Trainers

Dr Wang Zhenbiao
Mr Simon Chin
Mr Naveen Gnanaprakasam
Dr Wang Zhenbiao
Dr Wang Zhenbiao
Principal Scientist
A*STAR ARTC

Dr Wang Zhenbiao is a Principal Scientist with the Intelligent Product Verification Group under A*STAR Advanced Remanufacturing and Technology Centre (ARTC). He has more than 8 years of experience working in software development, image processing, system automation and deep learning development.

Mr Simon Chin
Mr Simon Chin
Lead Development Engineer
A*STAR ARTC

Mr Simon Chin is a Lead Development Engineer with the Intelligent Product Verification Group under A*STAR Advanced Remanufacturing and Technology Centre (ARTC). He has more than 16 years of working experience in machine vision system development and deployment.

Mr Naveen Gnanaprakasam
Mr Naveen Gnanaprakasam
Senior Research Engineer
A*STAR ARTC

Mr Naveen Gnanaprakasam is a Senior Research Engineer with the Intelligent Product Verification Group under A*STAR Advanced Remanufacturing and Technology Centre (ARTC). He is a masters graduate with more than a year and a half of experience in vision inspection systems and deep learning-based artificial intelligence.

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

Intelligent Inspection for Digital Manufacturing

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
  • Intelligent Inspection for Digital Manufacturing (24 hours)
 TGS-2023021043 EVE 28 Jul 2026 - 18 Aug 2026
SIGN UP Now

Registration for the Jul 2026 intake closes on 17 Jul 2026.

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
 

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