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Diploma in AI Enabled Mechanical Engineering

Build practical mechanical engineering capability with digital tools, AI awareness, and future ready workplace skills.

This diploma is designed to prepare learners with essential knowledge in mechanical engineering while introducing the practical role of Artificial Intelligence in modern industry. The programme combines foundational technical learning with digital literacy, problem solving, safety awareness, and future ready competencies to support entry level preparation for Industry 4.0 work environments.

9 Months Part Time | Blended Learning | 600 Hours | Diploma Awarded


Suitable for individuals seeking foundational training in mechanical engineering, as well as entry level workers aiming to upskill for workshop, manufacturing, or engineering support roles.

S$3000 | Installment Payment Available

About the Programme


The Diploma in AI Enabled Mechanical Engineering is developed to equip learners with practical technical skills in mechanical engineering while integrating future ready competencies in Artificial Intelligence, digital literacy, workplace communication, problem solving, and safety. The programme is intended to support learners preparing for entry level roles in Industry 4.0 environments, where technical work is increasingly influenced by digital systems, data driven processes, and smarter operational workflows.


Today, employers are not only looking for people who understand basic mechanical work. They are also looking for individuals who can adapt to modern technologies, work safely, communicate effectively, and operate with stronger awareness of how digital tools and AI are shaping engineering environments. This diploma is designed to build that wider capability in a structured and practical way.


Learners will develop knowledge across workplace communication, digital literacy, AI awareness, routine fault finding, workplace safety, mechanical systems, basic maintenance, fitting, and supervised repair planning. The programme helps bridge foundational engineering knowledge with practical workplace expectations, creating a more relevant pathway for those entering technical support, workshop, manufacturing, and maintenance related environments.


Strong emphasis is placed on practical readiness. Rather than focusing only on theory, the diploma helps learners understand how technical knowledge, digital competence, and workplace discipline must work together in modern mechanical environments. By the end of the programme, learners should be better prepared to support engineering related work, carry out basic maintenance activities, and contribute more confidently in settings where technology and operational expectations continue to evolve.


For employers, this diploma supports the development of a workforce that is more prepared for modern engineering and maintenance environments. For learners, it offers a practical pathway into a growing field where technical skill, digital readiness, and workplace reliability can strengthen long term employability.

Key Highlights 


  • Foundational mechanical engineering knowledge
    Build core understanding of mechanical systems, tools, equipment handling, and basic maintenance practices.


  • Digital and AI readiness
    Develop awareness of digital tools, AI concepts, and future ready capabilities relevant to modern engineering environments.


  • Workplace communication and teamwork
    Strengthen communication, instruction following, and collaboration skills needed in technical and workshop settings.


  • Safety and sustainability focus
    Apply safe work practices, use PPE correctly, and build awareness of risk control and sustainable habits in work environments.


  • Capstone based application
    Consolidate learning through a supervised repair task that supports confidence, teamwork, and practical workplace relevance.


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Potential Employment Opportunities

  • Mechanical Engineering Assistant

  • Maintenance Technician

  • Workshop Support Staff

  • Engineering Operations Assistant

These opportunities may be found across manufacturing, service, and engineering related sectors.


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Target Audience

This programme is suitable for:


Individuals seeking foundational training in mechanical engineering

Entry level workers aiming to upskill for workshop, manufacturing, or engineering support roles


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Entry Requirements

  • Applicants should meet the following minimum requirements:

  • Minimum Age: 16 years old

  • Language Proficiency: Basic proficiency in English, written and spoken

  • Academic Qualification: GCE “N” Level, Secondary 4 Normal, or equivalent.

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Graduation Requirements

To successfully complete the diploma, learners are expected to meet the required attendance for all modules, pass all required assessments including quizzes, assignments, practical tasks, and final capstone components, and achieve the required overall passing standard for programme completion. The submitted document also states assessment hours of 60 hours, covering quizzes, assignments, and final project presentation.


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Programme Details

  • Mode of Delivery: Blended

  • Duration: 9 months, part time

  • Class Frequency: 2 days per week, 4 hours per day

  • Total Course Hours: 600 hours


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Programme Modules

The diploma consists of 8 modules designed to build technical, digital, and workplace capability progressively across the programme.


Workplace Communication & Team Collaboration

Build effective workplace communication, follow instructions in technical contexts, and strengthen teamwork skills needed in servicing and maintenance environments.

60 Hours | 6 Credits | Blended


Digital Literacy & Basic Computer Skills

Develop confidence in using digital devices, productivity tools, and online communication safely and effectively in modern workplace settings.

60 Hours | 6 Credits | Blended


Generative AI, LLMs & Prompt Engineering

Understand the basics of AI and large language models, learn how to write effective prompts, and apply AI more responsibly for workplace tasks.

60 Hours | 6 Credits | Blended


Problem Solving & Routine Fault Finding

Learn how to identify routine faults, apply structured problem solving methods, and respond more appropriately to common technical issues.

60 Hours | 6 Credits | Blended


Workplace Safety, Risk & Sustainability

Apply safe work practices, use PPE correctly, and build awareness of risk control and sustainable habits in technical work environments.

60 Hours | 6 Credits | Blended


Introduction to Mechanical Systems & Tools

Understand basic mechanical components, use tools more safely, and handle equipment properly in workshop or technical support settings.

60 Hours | 6 Credits | Blended


Basic Machine Maintenance & Fitting

Develop awareness of machine maintenance routines, part assembly and fitting, and the importance of recording activities correctly.

60 Hours | 6 Credits | Blended


Capstone Project: Mechanical System Repair

Apply learning to a supervised repair task, demonstrate teamwork in practice, and present repair outcomes with greater confidence.

180 Hours | 18 Credits | Face to Face


Total Programme Hours: 600 | Total Credits: 60


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Assessment Methods

Assessment may include online quizzes, short written tests, practical tasks, supervised application work, and final capstone presentation components. The submitted course document states a total of 60 assessment hours.


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Award to be Conferred

Upon successful completion, learners will be awarded the:

  • Diploma in AI Enabled Mechanical Engineering


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Start your course enquiry today. Our team will get in touch to answer your questions and guide you to the most suitable course.

Preferred Course

Required for validation purposes.

Residential Status
Singapore Citizen or Permanent Resident
Valid work pass holder in Singapore
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