Artificial Intelligence (AI) is a frontier technology that has been identified in Singapore’s Industry Transformation Map (ITM) as an enabler of growth and jobs in Singapore. To achieve this objective, manpower skilled with AI knowledge and abilities is required to contribute and develop the AI ecosystem in Singapore.
The Specialist Diploma in Applied Artificial Intelligence (SDAAI) at Republic Polytechnic will equip participants with the requisite concepts and theories that underpin AI and to develop in participants, the fundamental practical skills and knowledge for developing AI solutions. Participants will undertake practical hands-on case studies and projects in clearly identified areas in which AI is applied today, namely the application of recommender systems, virtual assistants and pattern recognition and anomaly detection.
We look forward to welcoming you into our Specialist Diploma in Applied Artificial Intelligence.
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
Under the Work-Study Post-Diploma programme, you may enjoy additional benefits such as sign-on incentive with full-time employment, assigned company mentor, well-structured training, and career advancement opportunities.
How often do I need to attend the course?
Lessons will be held at RP ACE@Paya Lebar, Lifelong Learning Institute.
Course commences in November.
| Number of Lessons |
Duration |
| Two to three times a week(Weekday) |
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.
The Specialist Diploma in Applied Artificial Intelligence consist of 2 Post-Diploma Certificates (PDC). Each certificate consisting 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 Work-Study Programme: Project is RP-based
For Work-Study Programme: 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 personalised 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 Work-Study Programme: Project as RP-based
- Work-Study Programme: Project as Company-based OJT
Singapore Citizen
|
Fee Subsidy Eligibility
|
Post Diploma Certificate (PDC) 1 Net Fee
|
Post Diploma Certificate (PDC) 2 Net Fee
|
Course Net Fee
|
|
SME-sponsored
|
$371.28
|
$464.10
|
$835.38
|
|
40 years & above
|
$359.52
|
$449.40
|
$808.92
|
|
below 40 years old
|
$539.28
|
$674.10
|
$1,213.38
|
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
|
$1,450.92
|
$1,813.65
|
$3,264.57
|
|
SME-sponsored
|
$371.28
|
$464.10
|
$835.38
|
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.