Specialist Diploma in Smart Manufacturing: AI & Analytics (SDSM(AA))
About This Course
The Specialist Diploma in Smart Manufacturing (AI & Analytics) provides a comprehensive foundation in automation, IIoT-enabled operations and industrial AI. Learners will gain applied skills in automated systems, data analytics and AI-driven optimisation across manufacturing processes, from quality inspection to predictive maintenance.
Post Diploma Certificates
PDC1 – Smart Manufacturing Automation & Analytics [NP]
This post-diploma certificate builds practical skills in automation, IIoT, machine vision and data-driven manufacturing. It emphasises digitalisation, real-time monitoring and applying automation technologies to improve efficiency. Learners will gain hands-on experience in PLC programming, IIoT integration, analytics for process optimisation and machine vision for automated inspection. A capstone project reinforces these competencies in an integrated manufacturing scenario.
PDC3 – AI in Manufacturing [A*STAR (SIMTech/ARTC)]
Through five modules# exclusively offered by A*STAR (SIMTech/ARTC), learners will be equipped with practical skills to apply artificial intelligence across the entire manufacturing value chain. Learners will develop competencies in generative AI for manufacturing, industrial AI for predictive analytics and optimisation, intelligent inspection, digital production planning and data-driven predictive maintenance. Real-world application is reinforced through hands-on exercises and case studies, supported by exposure to tools such as Amazon Bedrock, LangChain and SIMTech’s S-MOM platform. Learners will be able to understand and implement AI-enabled solutions that enhance productivity, quality and operational resilience in smart manufacturing environments.
#The five modules are equivalent to a post-diploma certificate (PDC) and upon completing all the modules, learners will be granted exemption to fulfil one of the PDC requirements of the Specialist Diploma in Smart Manufacturing (AI & Analytics).
What You'll Learn
Entry Requirements
Applicants must possess a diploma or higher qualification from local Polytechnics/Universities in electrical, electronic, mechanical, manufacturing, communication, computer, instrumentation, control engineering, information technology or related fields.
Applicants with other equivalent qualifications will be considered case-by-case based on relevant work experience.