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Introduction
Artificial Intelligence is pervasive in real-world scenarios. With recent advancements, AI has enabled significant progress to improve productivity and system performance in advanced manufacturing and engineering (AME), including system maintenance, process monitoring, optimization, product verification and quality assurance. This course is aimed to introduce relevant machine learning and data analytics methods and techniques to improve the intelligence in typical problem-solving and decision-making challenges in this domain.
- Graduate Certificate in Artificial Intelligence and AI Plus
- FlexiMasters in Artificial Intelligence and AI Plus
At the end of the course, learners are able to:
- Describe basic concepts and methods of general AI and data analytics techniques.
- Apply basic AI and data analytics techniques to in solving basic problems in AME
This course will teach students how artificial intelligence (AI) and data analytics are applied to solve practical problems in AME through the introduction of basic methods and techniques. Using hands-on examples coded in Python, it will introduce basic concepts when applying AI in object detection, segmentation, recognition, defect/anomaly detection from signals/images, (deep) machine learning, explainable machine learning basics, and other relevant techniques. It is suitable for students who is interested to solve AME problems but have no experience in signal/image processing, nor machine learning.
No pre-requisites are needed to enrol in the individual courses.
Participants need to take note that those without qualifications or prior working experience in relevant engineering or the related fields, may find the course contents challenging.
Standard Course Fee: S$1,944
SSG Funding Support | Course fee payable after SSG funding, if eligible under various schemes | ||
Fee BEFORE funding & GST | Fee AFTER funding & 8% GST | ||
Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) | s$1,800.00 | S$583.20 | |
Enhanced Training Support for SMEs (ETSS) | S$223.20 | ||
SCs aged ≥ 40 years old | |||
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Select one of the following options:
| COURSE TITLE | ACADEMIC UNIT |
| AI for Advance Manufacturing and Engineering | |
| CET871 AI for Advanced Manufacturing and Engineering (Intermediate) | 1 |
| CET872 AI for Advanced Manufacturing and Engineering (Advanced) | 1 |
| AI for Bioimage, Signal Analysis & Healthcare | |
| CET873 AI for Bioimage, Signal Analysis & Healthcare (Basic) | 1 |
| CET874 AI for Bioimage, Signal Analysis & Healthcare (Intermediate) | 1 |
| CET875 AI for Bioimage, Signal Analysis & Healthcare (Advanced) | 1 |
| AI for Business Analytics | |
| CET876 AI for Business Analytics (Basic) | 1 |
| CET877 AI for Business Analytics (Intermediate) | 1 |
| CET878 AI for Business Analytics (Advanced) | 1 |
| AI for Drug discovery & Protein Interactions | |
| CET879 AI for Drug discovery & Protein Interactions (Basic) | 1 |
| CET880 AI for Drug discovery & Protein Interactions (Intermediate) | 1 |
| CET881 AI for Drug discovery & Protein Interactions (Advanced) | 1 |
| AI for Computational Geonomics | |
| CET882 AI for Computational Geonomics (Basic) | 1 |
| CET883 AI for Computational Geonomics (Intermediate) | 1 |
| CET884 AI for Computational Geonomics (Advanced) | 1 |
| AI for Accelerated Materials Development | |
| CET885 AI for Accelerated Materials Development (Basic) | 1 |
| CET886 AI for Accelerated Materials Development (Intermediate) | 1 |
| CET887 AI for Accelerated Materials Development (Advanced) | 1 |
| AI for Smart City and Urban Systems | |
| CET888 AI for Smart City and Urban Systems (Basic) | 1 |
| CET889 AI for Smart City and Urban Systems (Intermediate) | 1 |
| CET890 AI for Smart City and Urban Systems (Advanced) | 1 |
Listed courses are:
- Credit-bearing and stackable to Graduate Certificate in Artificial Intelligence and AI Plus (total 9AUs) and FlexiMasters in Artificial Intelligence and AI Plus (total 15AUs).
