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Generative AI and Foundation Models in Advanced Manufacturing

(MASTERCLASS IN GENERATIVE AI FOR ROBUST SHOPFLOOR)

This masterclass is co-organised with the Institute for Infocomm Research (I²R).

This programme is in collaboration with the Sectoral AI Centre of Excellence for Manufacturing (AIMfg).

Introduction

The rise of Generative AI is revolutionising industries, and this masterclass offers a deep dive into how these cutting-edge technologies can transform the Manufacturing sector. Tailored for small and medium-sized enterprises (SMEs) and industry leaders, this workshop moves beyond generic applications like ChatGPT, focusing on real-world implementations of Generative AI for factory-specific solutions.

Designed to address the unique needs of the local Manufacturing industry, the masterclass covers critical areas such as Quality Assurance, Predictive Maintenance, and Industrial Automation. Participants will learn from domain experts about practical use cases, current limitations, and the transformative potential of Gen-AI in Manufacturing.

The hands-on sessions will demonstrate how to harness open-source Gen-AI tools, create custom AI models using proprietary data, and explore the future of AI-driven manufacturing.

Through demonstrations, tutorials, and group workshops, attendees will gain practical insights and collaborative experience, equipping them to drive innovation and enhance productivity within their organisations.

Why This MasterClass

Tailored AI Solutions for Unique Needs

Customisation is Key: Understand the critical importance of adapting generative AI models to meet the specific needs and data environments of small and medium-sized enterprises (SMEs). Learn how to create solutions that integrate seamlessly with your existing systems, ensuring alignment with your unique scale, resources, and operational requirements.

Bridging the Gap Between Research and Industry

From Theory to Practise: Explore how cutting-edge academic research can be translated into practical, scalable solutions for manufacturing challenges. Gain insights on moving generative AI from proof-of-concept to deployment, addressing real-world issues like defect detection, predictive maintenance, and production line optimisation.

Hands-On Learning Experience

Practical Applications: Engage in interactive workshops that guide you through the customisation process, providing hands-on experience in developing AI models tailored for your business needs.

Industry-Specific Insights

Targeted Solutions for Manufacturing: Delve into the unique challenges faced by SMEs in the manufacturing sector and discover how generative AI can provide targeted solutions that enhance efficiency and reduce costs.

Networking with Experts and Peers

Build Connections: Connect with industry leaders, researchers, and fellow SMEs, fostering collaborations that can lead to innovative AI implementations and shared learning.

Future-Proofing Your Business

Stay Competitive: Equip your organisation with the knowledge to leverage AI effectively, ensuring you remain competitive in an increasingly digital landscape.

By attending this masterclass, you’ll gain the skills and insights needed to harness the power of generative AI, driving meaningful improvements in your operations and setting your business up for long-term success. Don’t miss this opportunity to customise AI solutions that work for you!

WHO SHOULD ATTEND

This masterclass is specifically designed for CEOs, CTOs, technical leaders, engineering managers, supervisors, product managers, system designers, design engineers, R&D engineers, application engineers, sales engineers, inspection and vision technicians, and new hires from various manufacturing sectors.

Programme Agenda

Day 1 Activities

Overview of Generative AI and Foundation Models for Advanced Manufacturing
Time Series Foundation Model for Predictive Maintenance
- State-of-the-art time series foundation model anomaly detection, fault diagnostic, remaining useful life prediction
- Leveraging foundation models for manufacturing

Day 2 Activities

Collaborative AI for Enhanced Human-Centric Services
- Human-AI collaboration for automated visual inspection
- Gen AI for knowledge capture and transfer in manufacturing
- Leveraging Gen AI and AR for assistance and training

Day 3 Activities

Emerging Gen-AI for Industrial Automation and Robotic Systems
- State-of-the-art robotics foundational models
- Robotics mapping, Indoor localisation and learning in Simulation

Trainers' profile

Dr Li Xiaoli is the Department Head and a Senior Principal Scientist with A*STAR Institute for Infocomm Research (I²R), and an adjunct full professor at the Nanyang Technological University (NTU), Singapore. He is an IEEE Fellow and a Fellow of the Asia-Pacific Artificial Intelligence Association. Since 2020, he has served on the Information Technology Standards Committee and the Infocomm Media Development Authority. Additionally, he is a health innovation expert panel member for the Ministry of Health and an AI advisor for the Smart Nation and Digital Government Office. Dr Li has published over 350 peer-reviewed papers, held leadership roles in major AI journals and conferences, and edited six books. With more than 30,000 citations and an h-index of 70+, he has been recognised by Stanford University as one of the world’s top 2% scientists in AI.

Dr Li Xiaoli has also been named as one of A*STAR's Highly Cited Researchers for 2024.

Find out more

Dr Jamie Ng Suat Ling is a Senior Principal Scientist and Head of the Advanced & Sustainable Manufacturing Division at A*STAR I²R. She leads projects in AI, analytics, automation, connectivity, and cybersecurity for manufacturing and aerospace, including predictive maintenance, IIoT for Industry 4.0, and robotics. As the Programme Lead for the Smart Automated Aircraft Visual Inspection System (SAAVIS), she focuses on automating defect detection in large structures like aircraft. Dr Ng holds a PhD in Human Factors Engineering, an MSc in Smart Product Design, and a BEng in Mechanical Engineering from Nanyang Technological University.. She has several patents and has received the Tan Kah Kee Young Inventors’ Award and the IES Prestigious Engineering Award 2023.

Dr Wan Kong Wah holds a BSc and MSc from the National University of Singapore and a PhD from the Nanyang Technological University. He is a Principal Scientist at A*STAR I²R and has authored numerous patents and technical publications, winning best paper awards at international conferences. Dr Wan collaborates with local industry and government agencies to develop AI technologies, notably in robust ID recognition, which has been licenced and deployed at Singapore Ports and ICA immigration checkpoints. His robotic conveying systems were also trialled by the ICA. His accolades include the MHA Firefly Silver Award in 2021 for project MATAR, the PST Distinguished ExCEL Innovation Project Award in 2018 for the Automated Passenger In-car Clearance System, the GovInsider Best Drone and Robotics Project Award in 2018 for Outdoor Robotic Surveillance Systems, and the Dunman Partnership Award (Silver) in 2023.

Upon Completion

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and/or ARTC if they achieve at least 75% course attendance.

Full Course Fee

The full course fee for this course is $2,000 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
$2,180	$654	$254	$254

All fees are inclusive of GST 9%.

Remarks

Participants may not be eligible for subsidies if they have already attended a MasterClass under the same title.

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)

The ¹Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme (ETSS) is for company-sponsored participants who are subject to the 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.

SKILLSFUTURE MID-CAREER ENHANCED SUBSIDY (MCES)

The ²SkillsFuture Mid-Career Enhanced Subsidy (MCES) is meant for employer-sponsored and self-sponsored Singapore Citizens aged 40 years old and above.

SkillsFuture Credit

All Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit (Opening SkillsFuture Credit and One-off SkillsFuture Credit Top Up) 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.skillsfuture.gov.sg

How course fees are calculated

TYPE	CATEGORY OF INDIVIDUALS
	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	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	$2,000	$2,000	$2,000	$2,000
SkillsFuture Funding	Not Applicable	($1,400)	($1,800)	($1,800)
Nett Course Fee	$2,000	$600	$200	$200
GST 9%	$180	$54*	$54*	$54*
Total Nett Course Fee Payable to Training Provider	$2,180	$654	$254	$254

* Based on 30% of Full Course Fee

Contact Us

For technical and general enquiries, please contact:

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

Registration

Please register for this course through our Course Registration Form for Public Classes.
For the first question, please select "MasterClasses".
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.

Collaterals

Download brochure

Schedule

Module	Skills Course Reference Number	Next Intake(s)'s Training Period (Click on the dates to view its schedules)	Registration Status
Generative AI and Foundation Models in Advanced Manufacturing (MasterClass In Generative AI for Robust Shopfloor)	TGS-2024046336	26 Mar 2025 - 28 Mar 2025	SIGN UP Now

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.

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.

Sessions

: Full day

: Morning