AI for Manufacturing Engineer - Part of Modular Certificate in Machine Learning and Data Visualization (Elective) (DEM1)
About This Course
This module introduces students with the technical skills to apply machine learning algorithms and deploying practical Artificial Intelligence (Al) models with an industrial edge controller for anomaly detection and predictive maintenance. The course will also cover the essential concepts and background for data analysis on supervised and unsupervised machine learning models and their applications in advanced manufacturing.
What You'll Learn
Entry Requirements
Min. 3 relevant GCE ‘O’ levels and with at least 1 year of relevant working experience:
• English Language (Grade 1-7)
• Mathematics (Grade 1-6)
• Science (Grade 1-6)
OR NITEC with GPA >= 3.5
OR NITEC with GPA >= 3.0 and with at least 1 year of relevant work experience
OR Higher NITEC with GPA >= 2.0
OR Higher NITEC with GPA >= 1.5 and with at least 1 year of relevant work experience
OR NITEC in Technology or Services with GPA >= 3.5 and with at least 1 year of relevant working experience
OR Higher NITEC in Technology or Services with GPA >=2.0 and with at least 1 year of relevant working experience
OR relevant Advanced WSQ Certificate (or higher) and Level 6 WSQ Workplace Literacy SOA and Workplace Numeracy SOA and with at least 1 year of relevant working experience
OR applicants with at least 2 years of relevant working experience may apply for the course
Recognition of Prior Learning (RPL)