Work-Study Post-Diploma (Specialist Diploma in Applied Artificial Intelligence)

School of Infocomm, Lifelong learning, Specialist Diploma in Applied Artificial Intelligence

About the Course

Artificial Intelligence (AI) is a frontier technology that has been identified as an enabler of growth under the Singapore’s Industry Transformation Map (ITM). 

To better meet the growing demand for skilled AI professionals, the Specialist Diploma in Applied Artificial Intelligence (SDAAI)will equip participants with the necessary concepts and know-how in developing comprehensive AI solutions.

Throughout the course, participants will take part in hands-on projects and examine case studies on the applications of AI in the areas of computer vision and natural language processing

Career Opportunities

Job opportunities in the AI field include:

  • AI Solutions Developer
  • AI Engineer
  • Business Intelligence Developer

What is so unique about this programme?

Participants who are enrolled successfully in this work-study post-diploma programme could:

  • Hold a full-time IT job & draw a full-time IT Salary
  • Learn and apply relevant knowledge & skills from the specialist diploma programme into their day job
  • Receive company sponsorship for the specialist diploma course
  • Receive guidance from an industry mentor at their workplace
  • Receive $5,000 sign-on incentive on successful completion of work-study programme (for Singapore Citizens only)
  • Prepare for relevant industry certifications

How often do I need to attend the course?

Lessons will be held 3 times a week online with 2 face-to-face sessions per module at RP ACE @ Woodlands.

Course commences in April

Number of Lessons Duration
Three times/week (Weekdays) 6:30pm - 9:30pm

What will I get out of this

Upon graduation, I have expanded my career towards AI project engagement. This has allowed me to contribute my new skillsets to my company, MindCraft.

Example, recently we have sealed a partnership with KeyReply, a key AI platform technologist that is accredited by iHiS, the technology agency for the public healthcare sector in Singapore. Graduating in Specialist Diploma in Applied Artificial Intelligence (SDAAI) has open a new wave of knowledge, participating in upcoming project that improves lives and numerous career opportunities.

I recommend to everyone who embarked in pursuing IT to consider enrolling such courses.
Mr Richard Lim
SDAAI Class of 2021

The Specialist Diploma in Applied Artificial Intelligence consist of 2 Post-Diploma Certificates (PDC). Each certificate consist of 4 or 3 modules each respectively, as shown in the table below:

Post-Diploma Certificate Modules
Fundamentals of Artificial Intelligence

Programming for Artificial Intelligence

Data Management and Ethics
Machine Learning Fundamentals

Deep Learning Fundamentals

Technologies of Artificial Intelligence Computer Vision 
Natural Language Processing
Capstone Project*

• Non Work-Study Programme: Project as RP-based
• Work-Study Programme: Project as Company-based OJT

Module Synopses

1. Post-Diploma Certificate in Fundamentals of Artificial Intelligence

The PDC in Fundamentals of Artificial Intelligence is intended to equip students with the requisite concepts and theories that underpin artificial intelligence and the fundamental practical skills and knowledge for developing AI solutions.

This post-diploma certificate consists of the following 4 modules:

Programming for Artificial Intelligence

This module equips students with the fundamentals of programming using Python. Students will learn how to solve problems through coding a software program. Fundamentals on software structure, variables, selection and iteration constructs will be covered. Students will be able to create software to solve simple programming problems related to AI.

Data Management and Ethics

This module offers an introduction to the use of open-source data platform and framework for storing large bulk of data. It aims to provide an overview of the data life cycle of the machine learning pipeline and running of high-throughput training and evaluation operations of the learning models. The lessons will typically focus on the practices associated with data management and the development of databases for operations, such as real-time data acquisition and preparation. Participants will also examine issues using basic ethical and legal frameworks, reasoning, guidelines and/or principles to create a greater awareness of general ethical and legal issues involved in the field of AI, with a particular focus on privacy and data protection-related issues.

Machine Learning Fundamentals

This module covers basic concepts in machine learning and the use of various open source libraries like scikit-learn, Tensorflow, and Keras to build basic machine learning application with Linear regression, K nearest neighbors, SVMs, decision trees and unsupervised learning. Upon completing the module, participants will be able to explain the essential principles of machine learning, with hands-on experience in building, validating and deploying machine learning models using Python.

Deep Learning Fundamentals

This module aims to introduce participants to the key topics associated with deep learning. This module will cover the fundamental underpinnings of Artificial Neural Networks (ANN), Convolution Neural Networks (CNN), Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) networks and the fundamentals will be supported with practical work that involves participants developing and deploying an ANN, CNN, RNN, and LSTM.

2. Post-Diploma Certificate in Technologies of Artificial Intelligence

This PDC focuses on applying and extending the skills and knowledge of students in 2 specific technologies of artificial intelligence. These AI technologies include Computer Vision and Natural Language Processing.

This post-diploma certificate consists of the following 3 modules:

Computer Vision

The aim of the module is to develop artificial intelligent (AI) solutions for computer vision (CV) problems. The solutions will use classical, modern, or/and cloud-based image processing and analysis methods. This module also covers the analysis and design of the CV problems.
Upon completing the module, students will be able to analyse CV problem, design a solution, develop the solution, enhance the accuracy of the solution and deploy the developed solution.

Natural Language Processing

Natural language processing (NLP) is a branch of artificial intelligence that helps computers to understand, interpret and manipulate human language.
This module aims to introduce students to the development of AI solutions for NLP. Students will acquire knowledge in common NLP tasks and will be able to differentiate the different approaches (traditional, machine learning and deep learning) use to design and perform these tasks. Students will gain hands-on practice using suitable libraries, toolkits and services that allows them to perform NLP related tasks and develop applications that can process, interpret and understand text.

Capstone Project*

In this capstone project, students demonstrate their competencies in architecting, designing and building AI solutions in response to problem statements. Students will apply their AI knowledge and expertise to develop and test their AI model. Students will then present a project report to demonstrate the validity of their model and proficiency.

• Non Work-Study Programme: Project as RP-based
• Work-Study Programme: Project as Company-based OJT

Please click here to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).

WSP Eligibility

Singaporeans and Singapore Permanent Residents who are:

  • Applicants should possess a relevant local polytechnic Diploma in Information Technology or Computer Science within three years of graduation from the Polytechnics or the Operational Ready Date (ORD) for full-time National Servicemen, or
  • within five years of graduation from the Polytechnics, and if their employer is a participating company.

Course Entry Requirement

Applicants should preferably possess a relevant local polytechnic Diploma in one of the following disciplines:

  • Engineering Sciences
  • Information and Digital Technology

Admission will be reviewed and approved by the polytechnic on a case-by-case basis.

Conditional Offer

Graduating student (in final academic year) from a local polytechnic may apply for the programme.
Click here for more information on how to apply for the programme and receive a Conditional Offer.
Please click here to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).

Last updated on 01 Mar 2024

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