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Industrial Artificial Intelligence In Manufacturing* (40 Hours)

*This is a non-WSQ module.
We are enhancing the training content and look forward to relaunching the course in Q2 2026.
Industrial AI

Introduction

Artificial intelligence is the capability of a computer to imitate, or go beyond, intelligent human behaviour. It is revolutionising manufacturing in many ways by delivering insights to reduce unplanned machine downtime, increase production throughput, reduce maintenance costs, and deliver an increase in quality.

About This Programme

Machine learning is a subset of artificial intelligence that gives computers the ability to learn from experience without being explicitly programmed; while certainly powerful, deep learning takes it to another level. It uses deep artificial neural networks and does not require feature engineering. This is enabled by large volumes of data, cheap computing power in the form of GPUs and improved algorithms. Deep learning is able to achieve superior performance to machine learning, in particular, for complex problems like image recognition. This programme takes a hands-on approach, going beyond the theory and focuses on equipping participants with the necessary skills to add value to their organisation whether that might be a start-up, SME or MNC.

Who Should Attend

This programme is designed for operation directors and managers, production/process engineers, R&D engineers and IT support staff working on processes, production and quality improvement in manufacturing industries such as precision engineering, aerospace, automotive electronics, semiconductor, oil and gas, pharmaceutical and MedTech.

Course Outline

Course Outline

This programme adopts the Learn-Practise-Implement™ (LPI™) pedagogy where participants learn the main concepts in deep learning, practise their skills through exercises, and implement solutions to real-world business problems.

Key focus areas or applications:

THEORY & EXERCISES
  • TensorFlow and Keras
  • Hyperparameter tuning and training
  • Convolutional neural networks
  • Recurrent neural networks
  • Reinforcement learning
  • Deployment learning
  • Deployment
PRACTISE
  • Project design
  • Get and explore the data
  • Prepare the data
  • Train the model
  • Fine-tune the model
  • Prepare presentation
ASSESSMENT
  • Written assessment
  • Presentation

Upon Completion of This Course

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

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.
  • Familiar with the fundamentals of machine learning.
  • Comfortable reading and writing code.
  • Ideally have experience with Python programming language.

Full Course Fee

The full course fee for this course is $4,000 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
$4,360$1,308$508
$508
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 SkillsFuture funding schemes you are eligible for, please visit www.skillsfuture.gov.sg

How Course Fees are Calculated

TYPECATEGORY OF INDIVIDUALS
International Participants Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ HoldersEmployer-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 SkillsFuture Funding SkillsFuture Funding (Baseline)  SkillsFuture Mid-career Enhanced Subsidy (MCES) ²SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee $4,000$4,000$4,000 $4,000 
SkillsFuture FundingNot Applicable  ($2,800)($3,600)($3,600)
Nett Course Fee$4,000$1,200$400$400
GST 9%
$360$108*$108*$108*
Total Nett Course Fee Payable to Training Provider$4,360$1,308$508$508
* Based on 30% of Full Course Fee

Contact Us

  • For general enquiries, please contact:

Dr Lim Cheng Leong,
Email: lim_cheng_leong@a-star.edu.sg

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.

Schedule

Module
Skills Course Reference NumberNext Intake(s)'s Training Period
(Click on the dates to view its schedules)		Registration Status
  • Industrial Artificial Intelligence In Manufacturing (42 hours)
TGS-2020505764The next intake's schedule 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 SkillsFuture Singapore (SSG)'s 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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