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.
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
| New Intake Commencement |
Duration |
Mode and Venue |
Schedule |
Application Start and End Date |
| April and October |
Work-study Programme sponsorship period:
12 months |
Online Learning & Face-to-face lesson at Republic Polytechnic |
3 weekday (6:30pm – 9:30pm)
View Schedule Here |
April intake: Nov 2022 - Mar 2023
October intake: Apr 2023 - Sep 2023
Application outcome will be released at least 3 weeks prior to course commencement
|
Note: RP reserves the right to reschedule/cancel any programme and amend information without prior notice.
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.