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Introduction
Due to the recent advancements in hardware and software technology, AI has become one of the most popular tools in numerous domains. This course intends to teach machine learning (ML) principles, optimization algorithms and extracting knowledge from a material database using various ML models.
- Graduate Certificate in Artificial Intelligence and AI Plus
- FlexiMasters in Artificial Intelligence and AI Plus
Upon completion of this course, the learner should be able to:
- Realize the impacts of ML and optimization in a broad range of applications pertaining to accelerated materials development and accelerated fault isolation.
- Grow capabilities to implement various forward and inverse algorithms on material databases.
- Build potential ML models to extract knowledge from a material database.
This course is to teach learners how to accelerate materials development for manufacturing through AI with Python implementation. It is suitable for learners who have no experience in machine learning (ML), optimization, material characteristics, material synthesis and defect detection in real-time manufacturing process, with preliminary knowledge in Python programming. It mainly covers:
AI for accelerated materials development (Project work)
- Knowledge extraction for tool wear monitoring data.
- ML regressor on concrete dataset.
- Unsupervised learning algorithms on material database.
- Anomaly detection in the manufacturing process.
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
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 | |
| CET870 AI for Advanced Manufacturing and Engineering (Basic) | 1 |
| 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 (Intermediate) | 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 |
| 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).
