
关于本节目
人工智能赋能机械工程文凭课程旨在培养学生在机械工程领域的实用技术技能,同时融入人工智能、数字素养、职场沟通、问题解决和安全等方面的未来发展能力。该课程旨在帮助学生为进入工业4.0环境下的入门级岗位做好准备,在这样的环境中,技术工作日益受到数字系统、数据驱动流程和更智能的操作工作流程的影响。
如今,雇主不仅需要了解基本机械操作的人才,还需要能够适应现代技术、安全作业、有效沟通,并深刻理解数字化工具和人工智能如何改变工程环境的人才。本文凭课程旨在以系统且实用的方式培养学员的这些综合能力。
学员将学习职场沟通、数字素养、人工智能意识、日常故障排查、职场安全、机械系统、基础维护、装配和监督维修计划等方面的知识。该课程有助于将基础工程知识与实际职场需求相结合,为那些进入技术支持、车间、制造和维护相关环境的人员提供更具针对性的职业发展路径。
本课程高度重视实践能力的培养。它并非仅侧重理论,而是帮助学员理解在现代机械环境中,技术知识、数字技能和职业素养如何协同运作。课程结束时,学员应能更好地支持工程相关工作,开展基础维护活动,并在技术和运营要求不断发展的环境中更加自信地做出贡献。
对于雇主而言,该文凭有助于培养更适应现代工程和维护环境的员工队伍。对于学习者而言,它提供了一条进入蓬勃发展领域的实用途径,在这个领域,技术技能、数字化素养和工作可靠性能够增强长期就业竞争力。
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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