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Generative AI for Manufacturing* (24 Hours)

*This is a non-WSQ module.
Generative AI for Manufacturing

Introduction

Artificial Intelligence, particularly Generative AI and Agentic AI, is increasingly transforming how organisations operate across various industries. In modern manufacturing environments, large amounts of data are generated from sensors, production systems, quality inspections, and maintenance records. Extracting actionable insights from this data can be quite challenging.

This 3-day course is designed as a hands-on, application-focused experience for technical and domain professionals who want to move beyond theoretical concepts and into real implementation. It offers a beginner-friendly pathway, taking learners from the foundations of generative AI to building agentic AI prototypes specifically for manufacturing. Participants are expected to have a basic comfort level with cloud-based tools and should possess beginner-level proficiency in Python.

About This Programme

The course equips learners with practical and career-relevant skills to design and implement agentic AI solutions specifically for the manufacturing sector.

  • Day 1 and Day 2
    Participants will learn about generative AI and the fundamentals of AI agents, covering project planning, prompt engineering, and architecture patterns for building large language model (LLM) applications using a managed foundation-model platform, such as Amazon Bedrock, and an LLM application framework.
  • Day 3
    Participants will implement a manufacturing-focused Retrieval-Augmented Generation (RAG) workflow in a hosted notebook/lab environment. They will evaluate and tune retrieval methods for generation quality and extend the solution into a simple multi-agent workflow using LangGraph for diagnostics, potential cause analysis, and recommended actions. Learners will have the ability to leverage large language models (LLMs) to apply them to manufacturing use cases without the need for finetuning.

The course concludes with a guided mini project in which trainees will work in small groups to build a simple multi-agent agentic AI application for a manufacturing scenario. This project will cover the diagnostic process, potential causes of issues, and suggest recommended checks or actions.

Who Should Attend

This course is ideal for manufacturing and industrial organisations eager to harness the power of generative AI and agentic AI to significantly boost operational efficiency, enhance equipment reliability, assure quality, and improve decision-making capabilities. It caters to a broad audience, including:

  • Technical professionals (engineers, developers, and data/automation experts) tasked with bringing innovative prototypes to life.
  • Non-technical stakeholders (leaders and process owners) who must assess the feasibility, value, and potential risks of adopting these transformative technologies.

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:

  • RAG Development
  • Building LLM Applications
  • LangGraph for Multi-agents
  • AI Agent Fundamentals
  • Cloud-based Tools for AI
  • Generative AI

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 course 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.

Full Course fee

The full course fee for this course is $2,400 before funding and prevailing GST.

Nett Course Fee

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
(MCES) ²		SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$2,616
$784.80$304.80$304.80
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 ParticipantsSingapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders Employer-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) ² SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee$2,400$2,400 $2,400$2,400
SkillsFuture FundingNot Applicable ($1,680)($2,160)($2,160)
Nett Course Fee$2,400$720$240$240
GST 9%
$216 $64.80* $64.80* $64.80*
Total Nett Course Fee Payable to Training Provider$2,616 $784.80 $304.80$304.80
* Based on 30% of Full Course Fee

About the Trainers

Mr Jimmy Silva

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Mr Jimmy Silva is a Senior Technical Instructor with Amazon Web Services (AWS). He has been guiding teams through the complexities of cloud technologies and agile methodologies. His and his team’s collective efforts have solidified AWS as a bastion of innovation and skill development. With a focus on Chef.io and AWS services, he leads with a forward-thinking approach to technical training. The journey in IT over these years has imbued him with a profound understanding of project management, database administration, and pre-sales engineering. At the core of his professional ethos lies a commitment to driving technological transformation and cultivating robust client relationships, all while mentoring the next generation of cloud professionals.

Mr Philips Kokoh Prasetyo

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Mr Philips Kokoh Prasetyo is a Senior Technical Instructor with Amazon Web Services (AWS). He is a lifelong learner, researcher, and developer who is passionate about developing intelligent systems to help improve the quality of human lives. He is also interested in early-stage startups. His specialities include data mining, information retrieval, machine learning, natural language processing, and big data processing.

Dr Nan Zhou Myo Lee

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Dr Nan Zhou Myo Lee is a Principal Scientist at A*STAR SIMTech. advancing agentic reasoning and manufacturing knowledge systems in support of A*STAR’s Sectoral AI Centre of Excellence for Manufacturing (AIMfg). His work focuses on building human‑centred AI agents, semantic reasoning engines, and knowledge backbones that capture shopfloor context and institutional know‑how to enable trustworthy, explainable decision support across manufacturing workflows. He holds a PhD from Nanyang Technological University and brings experience spanning digital manufacturing/IIoT, simulation, and applied machine learning.

Mr Li Yunmiao

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Mr Li Yunmiao is a Senior Research Engineer from A*STAR ARTC’s Manufacturing Knowledge Systems Team. His work focuses on agentic AI architecture, knowledge driven manufacturing intelligence, and the development of scalable AI systems for Industry 4.0 applications. He contributes to the design and implementation of advanced AI frameworks in support of A*STAR’s AIMfg programme. He is also the inventor of multiple IPOS filed patents related to AI triage, cycle time estimation, and agentic AI architectures.

Contact Us

  • For technical enquiries, please contact:
Ms Clara Tang,
Email: clara_tang@a-star.edu.sg
  • 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 Number Next Intake(s)' Training Period
(Click on the dates to view their schedules)		Registration Status
  • Generative AI for Manufacturing (24 hours)
TGS-2026063853EVE 20 Aug 2026 - 8 Sep 2026
SIGN UP Now

Registration for the Aug 2026 intake closes on 31 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 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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