Specialist Diploma in AI Solutions Development

SPECIALIST DIPLOMA IN AI SOLUTIONS DEVELOPMENT (PCJ)

Duration 1 year (Part-time)

Frequency 7pm to 10pm, 2 times a week (blended learning)

Certificate Part-time Diploma & Post-Diploma

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 reconsider 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.

Entry Requirements

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.

Who Should Attend

The intended target participants are fresh graduates and working professionals who possess a Polytechnic diploma in a technology-related field.

What You'll Learn

To be awarded the Specialist Diploma, participants are required to complete a total of 2 Post-Diploma Certificates (PDCs). A certificate will be issued upon successful completion of each PDC.

	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.
	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.
	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.

Course Schedule/Apply

Intake Info	Application Period	Course Duration
Not available for April 2023 intake	NA	1 year	Register Interest

Course Fees

Course fee per Post-Diploma Certificate

Fee Type	Total Fees w GST
SME-sponsored Singapore Citizens & Permanent Residents	S$305.40
Singapore Citizens aged 40 & above	S$295.32
Singapore Citizens aged below 40	S$449.40
Singapore Permanent Residents	S$1,181.28
Others & Repeat Students	S$2,966.04

SkillsFuture Credit Approved. For more details, please click here.

Course fees payable is based on per PDC.

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
Monday - Thursday: 8:30am - 6:00pm
Friday: 8:30am - 5:30pm

Closed during lunchtime, 12:00pm - 1:00pm
and on weekends and public holidays.
https://www.tp.edu.sg/tsa
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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