
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.
------------------------------
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.
------------------------------
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
------------------------------
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.
------------------------------
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.
------------------------------
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
------------------------------
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
------------------------------
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.
------------------------------
Award to be Conferred
Upon successful completion, learners will be awarded the:
Diploma in AI Enabled Mechanical Engineering
------------------------------