Overview
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.
Course Description & Learning Outcomes
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.
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
Recommended Prerequisites
We recommend that participants of this masterclass course should have the following pre-requisites:
AWS technical essentials
Intermediate-level proficiency in Python
Schedule
Date: 16 Jul 2025, Wednesday
Time: 9:00 AM - 6:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: IOI Central Boulevard Towers East Tower, 2 Central Blvd, Training Room: SIN18 06.101 The Grand Palace Casual Training Room, 018916
Date: 17 Jul 2025, Thursday
Time: 9:00 AM - 6:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: IOI Central Boulevard Towers East Tower, 2 Central Blvd, Training Room: SIN18 06.101 The Grand Palace Casual Training Room, 018916
Date: 18 Jul 2025, Friday
Time: 9:00 AM - 1:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: Advanced Remanufacturing and Technology Centre (ARTC), Tesla Meeting Room3 CleanTech Loop, CleanTech Two Block A, Level 3., 637143
Pricing
Course fees: The full course fee for this course is $2,000 before funding and prevailing GST.
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Amazon Web Services (AWS) (Proficiency level: Proficient)
- Python (Proficiency level: Proficient)
Speakers
Trainer's Profile:
Jimmy Silva, Senior Technical Instructor, Amazon Web Services (AWS)
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.
Trainer's Profile:
Philips Kokoh Prasetyo, Senior Technical Instructor, Amazon Web Services (AWS)
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.
Trainer's Profile:
Su Myat Phyoe, Senior Research Engineer , A*STAR SIMTech
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.
Trainer's Profile:
Clara Tang, Senior Research Engineer, A*STAR ARTC
Ms Clara Tang is a Senior 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).
Partners
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