Agile MLOps

Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2026063528
S$2,333

About This Course

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

What You'll Learn

Provides students with an overview of Agile methodologies and Machine Learning Operations (MLOps) to enhance the efficiency and reliability of machine learning (ML) project development and delivery. It covers essential practices for planning ML project using the Agile framework, managing data and ML models, developing ML applications with continuous integration and deployment, and monitoring of ML models in the production environment. Students will learn Agile project management, MLOps and Container tools and gain hands-on experience in automating workflows to build robust machine learning projects

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 75 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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