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 recommender systems, virtual assistants, pattern recognition and anomaly detection.

What is so unique about this programme?

Participants will undertake practicum and projects in AI such as:

  • Application of recommender systems
  • Virtual assistants
  • Pattern recognition
  • Anomaly detection

How often do I need to attend the course?

Lessons will be held at RP ACE@Paya Lebar, Lifelong Learning Institute.
Course commences in June.

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

Note: Some lessons will be conducted via e-learning.

What will I get out of this

My motivation for signing up for this course is to have a sense of how AI has progressed all these years. This course has given me the opportunity to be up to date on the emerging trends — chatbots, recommender systems, raspberry pi, pattern recognition, machine learning algorithms, and more — which I really enjoyed, although it’s tough having to balance work-family-education commitments. I am therefore grateful to all the lecturers for their time spent running this course.
Mr Andrew Tan
2019 Graduate

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

Post-Diploma Certificate Modules
Fundamentals of Artificial Intelligence Math for Machine Learning
Introduction to Programming
Introduction to Data Management for Machine Learning
Machine Learning Fundamentals
Applications of Artificial Intelligence Pattern Recognition & Anomaly Detection
Recommender Systems
Virtual Assistants
Capstone Project*

*For Non ELP: Project is RP-based

For ELP: Project is Company-based OJT

Module Synopses

1. Post-Diploma Certificate in Fundamentals of Artificial Intelligence

Math for Machine Learning

This module offers an introductory mathematical understanding of Linear Algebra, Calculus, Probability Theory and Statistics that is necessary for a good grasp of the inner workings of learning algorithms to getting good results. Student will use the understanding for considerations of accuracy, training time, model complexity, number of parameters and number of features to choose the right algorithm, tuning and optimization of the model.

Introduction to Programming

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.

Introduction to Data Management for Machine Learning

This module offers a comprehensive introduction to the use of open-source data platform and framework for storing large bulk of data, provide a comprehensive view of the data life cycle of the machine learning pipeline and running of high-throughput training and evaluation operations of the learning models. Classes typically focus on the practices associated with data management and the development of databases for operations, like real-time data acquisition and preparation.

Machine Learning Fundamentals

This module covers basic concepts in machine learning and the use of various open source libraries like scikit-learn, tensorflow, pytorch and keras to build basic machine learning application with perceptron, K nearest neighbors, neural networks, SVMs, decision trees and unsupervised learning. Student will also be introduced to the basic of Markov decision processes and reinforcement learning.

2. Post-Diploma Certificate in Applications of Artificial Intelligence

Pattern Recognition and Anomaly Detection

This module covers the application of AI in the field of pattern recognition and anomaly detection to help identify unusual patterns that do not conform to expected behaviour. The class will focus on machine learning based approaches like Support Vector Machine and Neural Network.

Recommender Systems

This module covers the application of AI in the field of Recommender Systems that helps to alleviate the problem of information overload. Class will focus on different filtering techniques to provide users with personalized content and services.

Virtual Assistants

This module covers the integration of AI systems and interface to build Virtual Assistants. Students will apply techniques to build dialog systems, perform machine translation, Speech Recognition and text summarization.

Capstone Project*

In this capstone project, students demonstrate their competencies in architecting, designing and building AI solutions in response to problem statements provided by our Industry Partners.
  • Non ELP: Project as RP-based
  • ELP: Project as Company-based OJT
Commencement Date Duration Venue Schedule
June and November 270 hours RP ACE@Paya Lebar, Lifelong Learning Institute View Schedule Here


  • Applicants should possess a relevant local polytechnic Diploma or Degree in Information Technology or Computer Science from a recognised institution.

  • They must also have at least 2 years of relevant work experience. Applicants who do not possess the above qualification shall be reviewed on a case-by-case basis.

Singapore Citizen

Fee Subsidy Eligibility Post-Diploma Certificate (PDC) 1 Net Fee Post-Diploma Certificate (PDC) 2 Net Fee Course Net Fee
SME-sponsored $291.72 $364.65 $656.37
40 years & above $282.48 $353.10 $635.58
below 40 years old $423.72 $529.65 $953.37

Singapore Permanent Resident

Fee Subsidy Eligibility Post-Diploma Certificate (PDC) 1 Net Fee Post-Diploma Certificate (PDC) 2 Net Fee Course Net Fee
Self-sponsored $1,142.76 $1,428.45 $2,571.21
SME-sponsored $291.72 $364.65 $656.37

Non Singapore Citizen/ Permanent Resident

Post-Diploma Certificate (PDC) 1 Net Fee Post-Diploma Certificate (PDC) 2 Net Fee Course Net Fee
$2,863.32 $3,579.15 $6,442.47

Note:
*Payment may be made using SkillsFuture Credit.
*Fees reflected are inclusive of GST (Goods & Service Tax).
*From 1 July 2020, Workfare Training Scheme (WTS) and fee subsidy under WTS will cease. WTS will be replaced by Workfare Skills Support Scheme (WSS). For more information on WSS, please refer to www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html

Republic Polytechnic reserves the right to make changes to the course fee and application closing dates without prior notice. The commencement of each course is subject to sufficient number of participants.

All information is accurate at time of publishing.

Last updated on 24 Sep 2020

Need more help?

If you are still unsure about which course to pursue, please contact our Academy for Continuing Education.  

Republic Polytechnic reserves the right to make changes to the course fee and application closing dates without prior notice.  The commencement of each course is subject to a sufficient number of participants. All information is accurate at time of publishing.