Modular Certificate in DevOps & Artificial Intelligence (AI)

Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2026064843
S$5,598

About This Course

This is a certificate under the Diploma in Engineering (Computer Engineering).

What You'll Learn

The Certificate in DevOps & Artificial Intelligence (AI) provides students with knowledge and practical skills in DevOps, AIoT application development, machine learning, and artificial intelligence using Python. It covers the software development process and the role of DevOps in modern application development, including the use of tools such as Git, Github, Jenkins, Docker, and Kubernetes to support AIoT applications within a DevOps infrastructure. Students will also learn core AI and machine learning principles, Python programming, and data analytics techniques for data cleaning, exploration, and preparation. The certificate equips students to implement machine learning algorithms, apply predictive models to real-world problems, and use data visualisation techniques to communicate insights effectively.

Entry Requirements

GCE ‘O’ Levels
3 relevant passes and 1 year relevant working experience:
Subjects/Min. Grade:
English Language: 7
Mathematics (Elementary or Additional): 7
Science: 7

FT Nitec
GPA >= 3.5 in an engineering or IT discipline OR
GPA >= 3.0 in an engineering or IT discipline and 1 year of relevant working experience

PT Nitec in Technology/Services
GPA > 3.5 in an engineering or iIT discipline and 1 year of relevant working experience

FT Higher Nitec
GPA > 2.0 in an engineering or IT discipline OR
GPA > 1.5 in an engineering or IT discipline and 1 year of relevant working experience

PT Higher Nitec in Technology/Services
GPA > 2.0 in an engineering or IT discipline and 1 year of relevant working experience

WSQ Diploma
Relevant WSQ Advanced Certificate (or higher) with 1 year of relevant working experience and Level 6 for both WSQ Workplace Literacy SOA & Workplace Numeracy SOA.

Course Details

Duration 180 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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