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Generative AI Applications for Robust Shopfloor

(MASTERCLASS IN GENERATIVE AI FOR ROBUST SHOPFLOOR)

This masterclass is co-organised with Amazon Web Services.

Introduction

To effectively address complex problems and improve decision-making processes in manufacturing production shopfloor, Generative AI (Gen AI) technology must be integrated with domain-specific knowledge. During the 3-day MasterClass, participants will learn how to combine their domain expertise with contextual understanding to fine-tune gen AI models and ensure their relevance and accuracy in specific applications.

GAIN THESE UNIQUE OPPPORTUNITIES FROM OUR MASTERCLASS!

Training in partnership with Amazon Web Services

Amazon Bedrock offers a robust ecosystem with powerful foundational models, tools, and services tailored for generative AI applications.

Understand Gen AI deployment from a project implementation perspective

Planning a Generative AI Project Generative AI in practice
Risk mitigation strategies in Gen AI projects

Tailored for manufacturing industry needs

Practical hands-on Gen AI for manufacturing industrial use cases
Gen AI to robustize shopfloor operations case studies

End-to-end RAG application development

Demonstration: Integrating Amazon Bedrock Models with LangChain Agents
Demonstration: Gen AI application built using self-managed tools

Why This MasterClass

As organisations seek to harness artificial intelligence to drive innovation and competitive advantage, executives need to be well-versed in the fundamentals of generative AI. Our upcoming masterclass is meticulously designed to give c-suite and senior business leaders from technical and non-technical business units the knowledge and tools necessary to lead generative AI initiatives effectively.

In this masterclass course, participants will gained knowledge and thought leadership to design and introduce generative AI solutions to be used in a manufacturing shopfloor, leveraging large language models to contextualise to manufacturing use cases without the need of fine-tuning.

The course provides an overview of generative AI, planning a generative AI project, the foundations of prompt engineering, the architecture patterns to build generative AI applications, and having hands-on opportunities with Amazon Web Services like Bedrock and LangChain. In addition, participants will also learn an alternative method to leverage generative AI capabilities using open-source technologies and evaluate the suitability of each method for their future generative AI initiatives.

Who Should Attend

Executives
Senior Business Leaders
Software Developers interested in developing LLM models

Pre-requisites

We recommend that participants of this masterclass course should have the following pre-requisites:

AWS technical essentials
Intermediate-level proficiency in Python

Programme Agenda

Day 1 Activities

Participants will be introduced to machine learning and generative AI (Gen AI), along with its challenges and impact on domain applications. They will learn to plan a Gen AI project, understand essential steps, and mitigate risks for actual deployment. This day will include an Amazon Bedrock session covering architecture, manufacturing use cases, setup, and prompt engineering techniques. Demonstrations will focus on fine-tuning prompts and addressing biases in domain processes.

Day 2 Activities

The day will start with a review of Amazon Bedrock application components, foundational models, datasets, and securing AI applications. Participants will have the opportunity to gain hands-on experience with word embeddings and secure setups. The workshop will explore Bedrock foundation models for inference, advanced methods, and data protection. It will also cover LangChain integration, optimising large language models, effective prompts, and efficient data management. Demonstrations will showcase LangChain with Bedrock for contextual prompts, text summarisation, question answering, chatbots, and code generation tailored to specific scenarios with manufacturing domain case studies.

Day 3 Activities

The focus will be on enabling a robust manufacturing shop floor with the help of Gen AI-related open-source tools, libraries, and models. The day will centre on the end-to-end development of RAG (Retrieval Augmented Generation) applications in Gen AI for manufacturing. It will include demonstrations and hands-on sessions on critical aspects of Gen AI development, such as vectorising documents and using RAG on vectorised databases.

Day 1 & 2
Amazon Web Services Singapore
23 Church Street, #10-01, Singapore 049481
VIEW MAP TO VENUE
Day 3
Advanced Remanufacturing and Technology Centre (ARTC)
3 CleanTech Loop, #01/01, CleanTech Two, Singapore 637143
VIEW MAP and Directions TO VENUE

Trainers' profile

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 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 specialties include data mining, information retrieval, machine learning, natural language processing, and big data processing.

Ms Su Myat Phyoe is a Senior Research Engineer with A*STAR SIMTech. She has experience working in both research and industry entities. She is skilled in statistical data analysis, MMS design and implementation, forecasting, natural language processing and programming. She has held Research Associate positions at the Nanyang Technological University and was in various software development positions in Myanmar and Singapore.

Ms Clara Tang is a Research Engineer from A*STAR ARTC’s Digital Infrastructure and System Team. Her focus is on Microservices, DevSecOps, and Kubernetes Technology to develop Smart Manufacturing Services for Industries. She assists researchers and software developers to deploy secure coding to cloud platforms via DevSecOps CI/CD pipeline and maintains highly available on-prem and cloud platforms. She is a Certified Kubernetes Application Developer (CKAD) and Certified Scrum Master (CSM).

Upon Completion

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and a Certificate of Completion by Amazon Web Services 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%.

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 enquiries, please contact:

Ms Clara TANG,
Email: clara_tang@SIMTech.a-star.edu.sg

For 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 Applications For Robust Shopfloor (MasterClass In Generative AI for Robust Shopfloor)	TGS-2024046336	18, 19, 20 Nov 2024	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