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Intelligent Inspection for Digital Manufacturing* (24 hours)

Banner_Intelligent Inspection for Digital Manufacturing

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 optimize 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

The attendees 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 attendees 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:

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


Our webinar was held on 25 May 2022 to offer an introduction to this course. You can also watch our webinar's video recording at our YouTube webpage.

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.

Outline - Intelligent Inspection

Upon Completion of This Course


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

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

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 module is $1,920 before funding and prevailing GST.

Nett Course Fee

Singapore Citizens, 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
$2,073.60 $622.08 $238.08
All fees are inclusive of prevailing GST.

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.

    • ¹ Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme (ETSS), subject to eligibility criteria shown below.

      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.

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

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

    How course fees are calculated

    International ParticipantsSingapore Citizens, 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
    8% GST
    $154.60 $46.08* $46.08*$46.08*
    Total Nett Course Fee Payable to Training Provider$2,073.60$622.08 $238.08$238.08
    * Based on 30% of Full Course Fee

    Contact Us

    For technical enquiries, please contact:

    Dr WANG Zhenbiao,
    Email: wang_zhenbiao@ARTC.a-star.edu.sg

    For general enquiries, please contact:

    Dr Edwin SOH,

    Mr Louis WONG,
    Email: louis_wong@ARTC.a-star.edu.sg

    Intelligent Inspection for Digital Manufacturing


    • Please register for this course through our Course Registration Form.
    • 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 FD19 Jul 2023 - 21 Jul 2023
    : Full Day  AM
    : Morning PM
    : Afternoon EVE
    : Evening