Artificial Intelligence (AI) in Manufacturing

Explore A*STAR Transformative AI In Manufacturing (AIM) Modules

The AI in Manufacturing (AIM) programme consists of five stackable modules that can be completed individually or as a package. The five modules are equivalent to a post-diploma certificate (PDC), and upon completing all the AIM modules, learners will be granted exemption to fulfil one of the Post-Diploma Certificate (PDC) requirements of the Specialist Diploma in Smart Manufacturing offered by Ngee Ann Polytechnic.

The five AIM modules are:

Additional Information

Upon Completion Of Each Module

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 for Each Module

AIM M1 AIM M2 AIM M3 AIM M4 AIM M5
$2,400 $1,920 $2,400 $2,400 $4,000

All fees are before funding and prevailing GST.

Nett Course Fee for Each Module

 Module International
Participants		 Singapore Citizens, 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
AIM M1 $2,616 $784,80 $304.80 $304.80
AIM M2 $2092.80 $627.84 $243.84 $243.84
AIM M3 $2616 $784.80 $304.80 $304.80
AIM M4  $2616 $784.80 $304.80 $304.80
AIM M5 $4,360 $1,308 $508 $508
All fees are inclusive of GST 9%.
LTVP+ Holders = Long Term Visit Pass Plus Holders
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

Schedules

Module
 Skills Course Reference Number Next Intake(s)' Training Period
(Click on the dates to view their schedules)		 Registration Status

AIM M1

  • Industrial Artificial Intelligence in Manufacturing (24 hours)
 TGS-2023021043 EVE 7 Jul 2026 - 23 Jul 2026
(6 sessions)
SIGN UP Now

The Jul 2026 intake is postponed. We will publish a new schedule soon.

AIM M2

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

Registration for the Jul intake closes on 14 Jul 2026.

AIM M3

  • Generative AI in Smart Manufacturing (24 hours)
 TGS-2026063853 EVE 20 Aug 2026 - 8 Sep 2026
(6 sessions)
SIGN UP Now

Registration for the Aug 2026 intake closes on 31 Jul 2026.

AIM M4

  • Production Planning & Scheduling for Smart Manufacturing (24 hours)
 TGS-2020504615 EVE 10 Sep 2026 - 29 Sep 2026
(6 sessions)
SIGN UP Now

Registration for the Sep 2026 intake closes on 27 Aug 2026.

AIM M5

  • Data-driven Predictive Maintenance and Optimal Plan (40 hours)
 TGS-2020504648 EVE 1 Oct 2026 - 3 Nov 2026
(10 sessions)
SIGN UP Now

Registration for the Oct 2026 intake closes on 23 Sep 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 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

About the Specialist Diploma in Smart Manufacturing (SDSM)

The Specialist Diploma in Smart Manufacturing (SDSM) is a collaborative programme developed by Ngee Ann Polytechnic (NP) CET Academy and A*STAR Singapore Institute of Manufacturing Technology (SIMTech) to equip professionals with the knowledge and skills required for the future of advanced manufacturing.

As the lead institution and awarding body, NP CET Academy ensures academic excellence and industry relevance, while A*STAR SIMTech contributes expertise in advanced manufacturing technologies, industrial artificial intelligence (AI), and applied research. Together, they provide learners with a comprehensive and industry-relevant learning pathway towards a Specialist Diploma qualification. Offered under Ngee Ann Polytechnic's School of Engineering, the SDSM adopts a flexible and stackable framework that allows learners to progressively build competencies and advance their professional qualifications.

Ngee Ann Cet Astar Sim Tech Artc

Accelerate Your Journey to a Specialist Diploma

Completing all five modules offered under the A*STAR's Artificial Intelligence in Manufacturing (AIM) Programme allows learners to stack it with eligible NP's Post-Diploma Certificates, paving the way to the esteemed Specialist Diploma in Smart Manufacturing (SDSM) qualification. Three inspiring tracks emerge from these combinations:

Smsm Secure Automation

Track 1 | To attain the Specialist Diploma in Smart Manufacturing: Secure Automation [SDSM(SA)]

Learners have to complete the following:

  • Post-Diploma Certificate (PDC) in Smart Manufacturing and Analytics hosted by Ngee Ann Poly
  • Post-Diploma Certificate (PDC) in Industrial Cybersecurity and Resilience hosted by Ngee Ann Poly

AI and Analytics

Track 2 | To attain the Specialist Diploma in Smart Manufacturing: AI & Analytics [SDSM(AA)]

Learners have to complete the following:

  • Post-Diploma Certificate (PDC) in Smart Manufacturing and Analytics hosted by Ngee Ann Poly
  • AI in Manufacturing (AIM) Programme hosted by A*STAR SIMTech

Smsm Cyber AI Resilience

Track 3 | To attain the Specialist Diploma in Smart Manufacturing: Cyber-AI Resilience [SDSM(CR)]

Learners have to complete the following:

  • Post-Diploma Certificate (PDC) in Industrial Cybersecurity and Resilience hosted by Ngee Ann Poly
  • AI in Manufacturing (AIM) Programme hosted by A*STAR SIMTech

Through the AI in Manufacturing (AIM) Programme, A*STAR SIMTech not only enhances the course curriculum but also shapes the future of the AI & Analytics and Cyber-AI Resilience tracks, seamlessly integrating applied AI, industrial use cases, and advanced manufacturing technologies into NP’s prestigious accredited framework.

About A*STAR's AIM Programme

AI in Manufacturing
This post-diploma certificate programme, developed in collaboration with A*STAR's five transformative AI modules, is designed to equip learners with practical skills for applying artificial intelligence across the entire manufacturing value chain. Participants will build competencies in generative AI for manufacturing, industrial AI for predictive analytics and optimisation, intelligent inspection, digital production planning, and data-driven predictive maintenance. The programme emphasises real-world applications through hands-on exercises and case studies, offering access to tools such as Amazon Bedrock, LangChain, and SIMTech’s S-MOM platform. By the end of the programme, learners will understand how to implement AI-enabled solutions that enhance productivity, quality, and operational resilience in smart manufacturing environments.

The five AIM modules are:

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AIM Module
 Synopsis
Learners are equipped with data analytics and machine learning skills for equipment health monitoring and maintenance optimisation through sensor data collection, feature extraction and predictive modelling.
Learners develop understanding of generative AI concepts, prompt engineering and AI application architecture through practical exercises with Amazon Bedrock, LangChain and RAG.
Learners acquire applied AI skills for real-world manufacturing settings through lectures, case studies and hands-on exercises covering AI fundamentals, machine learning and data-driven approaches.
Learners are equipped with skills to develop and deploy automated, data-driven quality inspection systems using computer vision, image processing and machine learning techniques.
Learners master digital tools and optimisation techniques for efficient production management through advanced scheduling algorithms, digital twins and data analytics.

About Ngee Ann Polytechnic's Post Diploma Certificates

Smart Manufacturing
 
This post-diploma certificate programme builds practical skills in automation, IIoT, machine vision and data-driven manufacturing. It emphasises digitalisation, real-time monitoring and applying automation technologies to improve efficiency. Learners will gain hands-on experience in PLC programming, IIoT integration, analytics for process optimisation and machine vision for automated inspection. A capstone project reinforces these competencies in an integrated manufacturing scenario.

How to Apply

Industrial Cyber Security
 
This post-diploma certificate programme prepares learners to secure Industrial Control Systems (ICS) amid IT/OT convergence and IIoT adoption. It covers OT cybersecurity, industrial networking, ICS architecture, protocols, cyber threats and key standards. Practical exercises in a simulated OT environment develop skills in asset discovery, vulnerability management and access control. The programme culminates in a capstone project involving vulnerability scanning, simulated attacks and mitigation strategies.