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Courses in Collaboration with AIMfg

To drive and accelerate AI adoption by manufacturing companies, with a focus on technology translation and workforce augmentation.

The Sectoral AI Centre of Excellence for Manufacturing (AIMfg) is a pilot initiative jointly developed by the Ministry of Trade and Industry (MTI) and the Agency for Science, Technology, and Research (A*STAR). It forms part of Singapore’s effort under the Singapore National AI Strategy 2.0 (NAIS 2.0) to build a thriving industry ecosystem in Singapore with significant value creation from artificial intelligence (AI) and capabilities across the AI technology stack.

Launched in September 2024, AIMfg brings together expertise in AI and the manufacturing domain with its various use cases. This initiative will actively convene and collaborate with ecosystem stakeholders across industry, research and government, leveraging A*STAR’s capabilities in AI technologies, including Generative AI and large language models, to develop and deploy impactful solutions for businesses.

The five Areas of AI Focus in Manufacturing

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Quality Assurance

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Operations Optimisation

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Predictive Maintenance

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Product Design

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Industrial Automation


AI and new technologies are transforming industries, making workforce development essential. How can we help your organisation leverage these changes for success?

Emerging Needs Faced by Organisations in AI Adoption for Manufacturing

  • Challenges in acquiring clean and sufficient data
  • Lack of commercial platforms for proof-of-concept development
  • Growing demand for pre-built AI models to accelerate deployment
AI

AI Training for the Future of Manufacturing

Our training programmes are tailored to meet the evolving needs of the manufacturing industry. By incorporating the latest AI advancements, we ensure our training stays relevant, empowering your workforce to tackle today's challenges and seize emerging opportunities.

EXPLORE OUR CURATED COURSES TO ADDRESS YOUR NEEDS

Ai Kick-starter And Leadership

Building The Foundation Of AI For Deployment

Time Series Data Preparation


Contextualising AI for Manufacturing

Manufacturing Value Chain and Relevance Of AI Deep Dive

Operations Optimisation

Machine Learning

Quality Assurance


Predictive Maintenance


Industrial Automation

Industrial Artificial Intelligence in Manufacturing