Masterclass Advanced Innovation & Manufacturing (AIM) 2026

Masterclass Advanced Innovation & Manufacturing 2026
1 October 2026
Penang, Malaysia
Trainers: Renee Tan & Irfan Md Ghazaly

Manufacturing organisations are facing increasing pressure to improve productivity, reduce operational inefficiencies, accelerate response times, strengthen quality performance, and retain critical knowledge across their operations. Yet many engineering, production, quality, and maintenance teams continue to spend significant time on repetitive reporting, document management, issue investigation, and administrative coordination.

This practical 1-day hands-on masterclass is designed to help manufacturing professionals understand how Artificial Intelligence (AI) can be applied safely and effectively to streamline daily operations, automate low-value tasks, improve workflow efficiency, and enhance decision-making without compromising governance, safety, or data protection requirements.

Through live demonstrations, guided hands-on exercises, real-world manufacturing scenarios, and collaborative team activities, participants will explore where AI delivers the greatest operational value, how it integrates with existing workflows and systems, and how organisations can begin adopting AI using non-confidential data.

Whether you are responsible for engineering, production, quality assurance, maintenance, continuous improvement, operational excellence, or digital transformation initiatives, this masterclass will provide practical knowledge and actionable ideas that can be immediately applied within your organisation.

Course Objectives

By attending this masterclass, participants will be:

• Discovering practical ways of reducing manual effort across engineering, production, quality and maintenance workflows using AI.
• Recognising where AI is creating the fastest productivity gains in repetitive, document-heavy and analysis-heavy manufacturing tasks.
• Exploring how AI is supporting faster reporting, clearer communication and more structured decision-making across day-to-day operations.
• Experimenting with realistic manufacturing scenarios to build confidence in using AI tools for workplace applications.
• Understanding how current systems and workflows are being enhanced through AI-assisted integration with documents, spreadsheets, forms and enterprise platforms.
• Learning how sensitive information is being protected through safer usage practices, data classification and human review checkpoints.
• Identifying where their own teams are benefiting most from AI adoption and where customised in-house training can accelerate business impact.

Learning Outcomes

By the end of the masterclass, participants will be able to:

• Identifying high-value manufacturing tasks that are being automated with AI to improve speed, consistency and team productivity.
• Applying AI to summarising, structuring, comparing and drafting operational content to reduce administrative burden and improve output quality.
• Recognising which stages of the production cycle are benefiting most from AI support and where low-risk adoption should begin.
• Using simple prompting approaches to generate more useful, accurate and work-ready outputs from AI tools.
• Exploring how engineering, production, quality and maintenance teams are improving workflows with AI-assisted reporting, troubleshooting and knowledge support.
• Distinguishing between non-confidential use cases and protected data scenarios to support safer and more responsible AI adoption.
• Understanding how AI is being integrated with existing systems and processes without disrupting current operations.
• Designing a practical team-based AI use case that can be adapted for their own manufacturing environment.
• Building stronger readiness for customised corporate training and pilot implementation within their organisations.

Contact us for further details to register your team:
📞 +65 8868 1418
📧

We are proudly supported by leading industry organisations, innovation hubs, and business networks dedicated to advancing deep tech and sustainable manufacturing.

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More info: advancedmanufacturingasia.com

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