Introduction to Artificial Intelligence

Discover the Power of AI

Artificial Intelligence (AI) is found in many applications today. From on-demand car ride services, to chatbots, to online recommendation services, AI has helped businesses work more efficiently and effectively.

Introduction to Artificial Intelligence is designed for individuals who wants to understand what AI is and its applications at work.

Duration
1 day, 9am - 5pm

Who Should Attend

Adult learners with some computer knowledge and a keen interest in artificial intelligence, machine learning and data.

Programme Outline

Learning Objectives

Understand what is AI
Understand Machine Learning
Understand Deep Learning
Data Analytics

Part 1 - The intuition of AI

In this workshop, we explore the derivative of what empower some of the most common AI solutions. Participants will have a hands-on basic artificial neural network with Weka as part of their classification task.

Part 2 - Introduction to Text Mining Works

Participants will be able to appreciate some ideas of NLP implementations, in particular text mining where it could be prevalent in either speech or cybersecurity at a high-level context.

Part 3 - Machine Learning, Deep Learning, and Artificial Intelligence

Handwriting is a ubiquitous form of art which is unique to an individual. At a high-level, participants will appreciate the mechanism behind some of the more intriguing form of art and how one capitalises on handwriting to predict what digit he is writing.

Part 4 - Image Recognition with Artificial Intelligence

Image and facial recognition are some of the more advanced and complicated AI technology that man has ever explored. At a high-level, we will explore the mechanism image processing works and the participants will also be shown with a realia of a simple IoT device that can empower a common facial recognition.

Assessment

Participants will do a simple project based on the common Neural network model with Weka.

Course Fees and Funding

Full course fee inclusive of prevailing GST	You pay S$981.00
SkillsFuture Course Fee subsidy (up to 70%) For Singapore Citizens < 40 years old For Permanent Residents	You pay as low as S$294.30
Mid-Career Enhanced Subsidy (up to 90%) For Singapore Citizens ≥ 40 years old	You pay as low as S$114.30
Enhanced Training Support for SMEs (up to 90%) For SME - Sponsored employees	You pay as low as S$114.30

The above module fee payable is inclusive of 9% GST.
This course is not eligible for the $4,000 credit under SkillsFuture Credit (Mid-Career) top-up scheme.

Instructor

Kwan Hui Lim
Fellow, SUTD Academy
Assistant Professor at SUTD

Kwan Hui LIM is an Assistant Professor at the Information Systems Technology and Design Pillar, Singapore University of Technology and Design, and leads the Social and Urban Analytics Lab. Previously, he was a Research Fellow at the School of Computing and Information Systems, University of Melbourne, Research Engineer at the Living Analytics Research Centre, Singapore Management University, Research Intern at IBM Research – Australia, and various visiting appointments. He received his PhD from the University of Melbourne, and MSc (Research) and BCompSci (1st Class Honours) from the University of Western Australia.

He is a recipient of the 2016 Google PhD Fellowship in Machine Learning. His research interests are in Data Mining, Machine Learning, Artificial Intelligence, Social Network Analysis, and Social Computing.

Thia Wei Soon
Instructor, SUTD Academy

Wei Soon has more than ten years of experience working in the manufacturing and IT sectors. He worked as a data scientist using data analytics and machine learning to deliver actionable insights and drive strategic marketing initiatives. In recent years, as a technology consultant, he successfully helped clients to streamline enterprise operations and achieved cost saving through the adoption of robotic process automation.

Wei Soon has a Master of IT in Business Artificial Intelligence from Singapore Management of University and a B.Eng in Mechanical Engineering from Nanyang Technological University. He is proficient with tools such as Tableau, Jupyter, RStudio, MS Visual Studio, Automation Anywhere, UiPath, and programming languages such as Python, R, C#, HTML5, and JavaScript.

SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

Reporting of national statistics and conducting of holistic continuing education training research and analysis;
Facilitate the conduct of the relevant surveys and audits in relation to the Course;
General administration of the Course including but not limited to processing of the subsidy provided by SSG;
Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and
SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.

I agree to:

Attend and complete all lectures, class exercises, workshops and assessments;
Complete the Course feedback at the end of the Course;
Complete the post Course survey sent about 3 to 6 months after class attendance; and
Sign up for a personal email account.

SUTD Privacy Statement

For more information on SUTD's privacy statement, please visit https://sutd.edu.sg/Privacy-Statement.

SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

If a written notification is sent to sutd_academy@sutd.edu.sg within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made.
No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to sutd_academy@sutd.edu.sg. Terms and conditions apply.

Registration Policy

Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.
Course enrolment is based on a first-come, first-served basis.
SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances.

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.
Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

For more info, please visit SkillsFuture website at https://www.skillsfuture.gov.sg/enhancedsubsidy

Funding under Enhanced Training Support for SMEs ("ETSS")

ETSS is an enhanced funding to enable SMEs to send their employees for training.
SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.
In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.
To qualify, SMEs must meet all of the following criteria:
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents

For more info, please visit SSG website at https://www.ssg.gov.sg/programmes-and-initiatives/funding/enhanced-training-support-for-smes1.html

Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit https://e2i.com.sg/individuals/ntuc-education-and-training-fund/.

Funding under Post-Secondary Education Account ("PSEA")

The Post-Secondary Education Account (PSEA) is part of the Post-Secondary Education Scheme to help pay for the post-secondary education of Singaporeans.

This is part of the Government’s efforts to encourage every Singaporean to complete their post-secondary education. It also underscores the Government’s commitment to support families in investing in the future education of their children and to prepare them for the economy of the future. PSEA is not a bank account.

It is administered by the Ministry of Education (MOE) and is opened automatically for all eligible Singaporeans.

Account holders can use their PSEA funds to pay for their own or their siblings’ approved fees and charges for approved programs conducted by approved institutions.

However, you will have to check your eligibility and balance by contacting MOE first.

Contact MOE at (65) 6260 0777

E-mail to MOE at contact@moe.edu.sg

Click here for MOE website.