Modular Certificate in Visual Analytics & AI Operations

Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2026063526
S$5,598

About This Course

This is a certificate under the Diploma in Infocomm & Digital Media (Applied Artificial Intelligence & Analytics).

What You'll Learn

The Modular Certificate in Visual Analytics & AI Operations provides participants with knowledge and skills in data visualisation, AI certification preparation, and machine learning operations. It covers techniques for creating reports and interactive dashboards using tools such as Tableau and Python to support data-driven decision making. Participants will also prepare for industry-recognised AI certification examinations by consolidating key concepts, tools, and methodologies. In addition, the certificate includes Agile MLOps, covering Agile project management, continuous integration and deployment, data and model management, and monitoring of machine learning applications in production environments.

Entry Requirements

GCE ‘O’ Levels
3 relevant passes & 1 year relevant working experience:
Subjects/Min. Grade:
1. English: 7
2. Mathematics (E-Maths or A-Maths): 6
3. Any one other subject (excluding CCA): 6

FT Nitec
GPA > 3.5 OR
GPA > 3.0 and 1 year of relevant working experience

PT Nitec in Technology/Services
GPA > 3.5 and 1 year of relevant working experience

FT Higher Nitec
GPA > 2.0 OR
GPA > 1.5 and 1 year of relevant working experience

PT Higher Nitec in Technology/Services
GPA > 2.0 and 1 year of relevant working experience

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

Without any of the relevant academic qualifications
At least 2 years of relevant working experience.

Recognition of Prior Learning (RPL)
Applicants who do not meet the entry requirements may be considered for admission to the course based on supporting evidence of competency

Course Details

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