Short Course

Machine Learning Solution Design

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
To be advised3Classroom LearningTGS-2022014568

Course Overview

Machine Learning Operations (MLOps) is a set of practices that aims to deploy and maintain Machine Learning (ML) models in production reliably and efficiently. Machine Learning models are tested and developed in isolated experimental systems. MLOps is about orchestrating the steps in the ML pipeline, then automating the execution of the pipeline for continuous training (CT) of the models. This course provides a high-level understanding of the processes required in the creation of Machine Learning solutions and design. Practical hands-on interactions with the tools forms a part of the learning process.

Course Objectives

This course will enable learners to:

  • Understand and execute the processes of MLOps from ML solution design of new model pipelines
  • Understand ML lifecycle management
  • Learn the tools and techniques in MLOps

Job Role Readiness

  • Data Engineers
  • Data Analysts
  • Software Engineers
  • Any professionals involved in Machine Learning lifecycle management.

Prerequisites

  • At least a polytechnic diploma
  • Basic Python programming knowledge

Testimonials


The course is well-structured to understand how machine learning models work in details. The professor explained the concepts clearly.

Ho Gui Ying

This course is quite in-depth in the logic behind machine learning algorithms, where the professor is quite detailed and clear in her explanations, making it easy for people to understand. It would be advisable for those who have some knowledge as it can be tough for those with zero knowledge in coding and data science.

Lim Jiahui

Instructors


Dr Yeo Wee Kiang

Dr Ai Xin

Dr Ganesh Neelakanta Iyer

A/Prof Danny Poo

Programme Fees


Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
39 years old
or younger
40 years old
or older
Full Programme Fee S$3,150.00 S$3,150.00 S$3,150.00 S$3,150.00 S$3,150.00
Less: SSG Grant Amount S$2,205.00 S$2,205.00 S$2,205.00 S$2,205.00 -
Nett Programme Fee S$945.00 S$945.00 S$945.00 S$945.00 S$3,150.00
9% GST on Nett Programme Fee S$85.05 S$85.05 S$85.05 S$85.05 S$283.50
Total Nett Programme Fee Payable, Including GST S$1,030.05 S$1,030.05 S$1,030.05 S$1,030.05 S$3,433.50
Less Additional Funding - S$630.00 - S$630.00 -
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$1,030.05 S$400.05 S$1,030.05 S$400.05 S$3,433.50
  1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
  2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
  3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

Other Information

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.