Modular Certificate in Machine Learning and Data Visualization (Elective) - Part of Diploma in Engineering (Electrical) (DEE1)
About This Course
Upon completion of this certificate, the participants will be able to:
• Apply machine learning algorithms and deploying practical Artificial Intelligence (Al) models with an industrial edge controller for anomaly detection and predictive maintenance.
• Acquire a firm understanding in of data importing, cleaning, interpreting and visualizing.
• Apply AI techniques to their field to get accurate solutions.
What You'll Learn
1) AI for Manufacturing Engineer (60hrs)
2) Data Handling and Information Visualisation (60hrs)
3) Machine Learning Systems for Engineers (60hrs)
Entry Requirements
The following GCE ‘O’ Level grades and with at least 1 year of relevant work 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)
Applicants who do not meet the entry requirements may be consider