Advanced Certificate in Artificial Intelligence (AI) Product Development in the Digital Economy Module 2: Data Collection and Preprocessing for AI Product Development
- Analytics & Tech
- Innovation & Business Improvement
This module is conducted in-person.
2 days (Weekdays)
Who Should Attend
- Professionals in artificial intelligence, data science, and product development, particularly those involved in data collection and preprocessing for AI applications or seeking to deepen their understanding of these processes.
PREREQUISITES
There are no prerequisites for this programme. Prior knowledge on any of the topics is not required
Overview
Module 2 delves into the crucial process of data collection and preprocessing for artificial intelligence (AI) product development. Participants will learn about various methods and techniques for collecting relevant data, including web scraping, application programming interface (API) integration, and data acquisition from different sources. The module also covers the importance of data quality and strategies for ensuring clean, accurate, and reliable datasets through preprocessing techniques such as cleaning, normalization, and feature engineering. Participants will also explore ethical considerations related to data collection and processing in the context of AI product development within the digital economy. By the end of this module, participants will have gained practical skills in acquiring high-quality data sets essential for successful AI product development projects.
Learning Objectives
At the end of the 2-day module, participants will be able to:
- Understand the importance of data collection and preprocessing in artificial intelligence (AI) product development within the context of the digital economy
- Demonstrate proficiency in selecting appropriate data sources and methods for collecting high-quality data to be used in AI product development
- Apply various techniques for cleaning, transforming, and preparing raw data to ensure its suitability for use in AI models and products
- Evaluate different strategies for handling missing or incomplete data during the preprocessing stage of AI product development
- Develop a comprehensive understanding of ethical considerations related to data collection and preprocessing in the context of developing AI products for the digital economy
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$654 (After SSG Funding 70%) |
$254 (After SSG Funding 70% |
$654 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
|
International Participant |
$2,180 (No Funding) |
$2,180 (No Funding) |
$2,180 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- 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
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Loading schedule information...
*Online registration will close 5 calendar days before the course start date
You might also be interested in
