SPECIALIST DIPLOMA IN AI SOLUTIONS DEVELOPMENT (PCJ)
Course Overview
Artificial Intelligence (AI) is permeating every sector of our life. It is used in search engines that push personalised information to us. It is used on our phones for facial recognition. It influences what we see and buy online, and how we handle financial transactions. It impacts every sector of industry from transport to healthcare. Artificial Intelligence is causing job disruptions and challenging us to re-consider how we conduct business operations. As companies advance to embrace AI, there is a surging demand for professionals with the skills and experience to support businesses. This course will help you acquire these skills, including how to use machine learning and deep learning algorithms to create solutions.
This course is eligible for SkillsFuture Study Award. For more information, please visit the website below.
http://www.skillsfuture.sg/studyawards/advanced-manufacturing
Application/Entry Requirement
The minimum entry requirement is at least a Polytechnic Diploma or ITE Technical Diploma/Technical Engineer Diploma/Work-Learn Technical Diploma in a technology or IT-related course, or equivalent.
Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.
| Subject Code | Subject | ||
|---|---|---|---|
| CAI1C01 | Principles of Machine Learning
This subject introduces the fundamentals of machine learning algorithms. Students will learn a range of model-based and algorithmic machine learning methods, including regression and classification. Topics covered will also include the machine learning pipeline. |
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| CAI1C02 | Machine Learning Solutions Development
This subject enables students to build new and enhance existing solutions development through the application of machine learning algorithms. |
| Subject Code | Subject | ||
|---|---|---|---|
| CAI1C03 | Principles of Deep Learning
This subject introduces the fundamental techniques of deep learning. Topics covered include basic neural networks, deep unsupervised learning and reinforcement. |
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| CAI1C04 | Deep Learning Solutions Development
This subject enables students to build new and enhance existing solutions development through the application of deep learning algorithms. |
Modes of Assessment
- Class participation
- Class tests
- Assignments
- Projects
Career Opportunities
At the entry level, the job positions are Application Developers. Upon completing the course, graduates can look forward to role expansion in their work scope. They can also look forward to upgrading their knowledge and skills through further CET and executive programmes offered by local Institutes of Higher Learning.
| Intake Info | Application Period | Course Duration | |
|---|---|---|---|
19 April 2021 |
02 November 2020 - 25 January 2021 |
1 Year |
APPLY |
| Fee Type | Total Fees w GST |
|---|---|
| SME-sponsored Singapore Citizens & Permanent Residents | S$304.56 |
| Singapore Citizens aged 40 & above | S$295.32 |
| Singapore Citizens aged below 40 | S$436.56 |
| Singapore Permanent Residents | S$1,168.44 |
| Others & Repeat Students | S$2,914.68 |
SkillsFuture Credit Approved. For more details, please click here.
Course fees payable is based on per MC.
Course fees will be reviewed by MOE on an annual basis and adjusted accordingly.
MOE subsidy will not be applicable for students who repeat a module or semester.
With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by Work Support Scheme (WSS), for more information, please visit:
https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html
Course Contact
- tsa_acadcet@tp.edu.sg
- 67881212
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8.30am – 6.00pm (Mon – Fri)
Our office is open for appointment only on Mon – Wed, please contact tsa@tp.edu.sg / 6788 1212 to make an appointment if you would like to visit us.
We apologise for not able to attend to walk-ins currently.
Closed on Sat, Sun & Public Holidays
- Website: https://www.tp.edu.sg/tsa
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Temasek SkillsFuture Academy
Temasek Polytechnic
East Wing Block 1A,
Level 3, Unit 81
21 Tampines Ave 1
Singapore 529757
Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.
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