Intelligent Inspection for Digital Manufacturing* (24 hours)

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

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 become familiar with the principles of deep learning technologies. The process to develop a deep learning model which work as expected will be described in the course. Typical applications using deep learning technologies and deep learning research directions will be discussed and explained.

This course consists of 3 full-day sessions covering hands-on session using both commercial software and open source networks for developing deep learning models. This would enhance the understanding of deep learning principles. At the end of the course, the participants will be able to develop deep learning models for their potential inspection applications.

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

Course Outline

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 courses fee upon failure to meet either one of the criteria.

Pre-Requisites, Full and Nett Course Fees


  • 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

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


  • 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.


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 Credit

For more information on the SkillsFuture funding schemes you are eligible for, please visit

How course fees are calculated

International ParticipantsSingapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ HoldersEmployer-sponsored and self-sponsored Singapore Citizens aged 40 years and aboveSMEs-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
Not applicable for SkillsFuture FundingSkillsFuture 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
SkillsFuture FundingNot 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

Contact Us

  • For technical enquiries, please contact:

Dr WANG Zhenbiao,

  • For general enquiries, please contact:

Dr Edwin SOH,


  • Please register for this course through our Course Registration Form for Public Classes.
  • For the first question, please select Qn1: Modular Programmes
  • Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
  • Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.


Skills Course Reference Number Training Period 
(Click on dates to view schedules)
Registration Status
  • Intelligent Inspection for Digital Manufacturing (24 hours)
TGS-2023021043 The next intake's schedule is still in the planning stage.

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


  • From 1 Oct 2023, attendance-taking for SkillsFuture Singapore (SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening

Production Planning & Scheduling for Smart Manufacturing (24 hours)

Production Planning & Scheduling for Smart Manufacturing