Physical Artificial Intelligence in the Real World: Transforming Work and Everyday Life for Businesses
- Innovation & Business Improvement
- Leadership & Management
This course is conducted on-campus.
To use your SkillsFuture Credit, please submit your claim through our payment portal. Do not submit the claim manually via the SkillsFuture page. Please refer to our step-by-step guide here.
2 days
Singapore Management University
Who Should Attend
- Logistics & Retail Operations/ Facilities Managers
- Supply Chain Managers
- Quality Assurance Managers/ Engineers
- Smart Building Consultants
- Operations Directors
- Process Engineers
PREREQUISITES
There are no prerequisites for this programme. As this programme is conducted in English, participants should be proficient in reading, writing, and communicating in English.
Overview
Designed for business professionals with no prior background in AI or robotics, the programme explores how Physical AI is transforming modern operations through technologies such as computer vision, smart sensors, and edge devices. Participants will examine real-world applications including automated checkout, quality inspection, safety monitoring, energy optimisation, predictive maintenance, and inventory optimisation.
Participants will also take part in a simple yet powerful hands-on lab using Google Teachable Machine, where they will train a simple computer vision model with just a laptop and webcam. By the end of the course, participants will gain clear insight into how Physical AI systems sense, think and act in the real world and where they can add value to organisations, all without any coding or technical background.
Learning Objectives
At the end of the 2-day course, participants will be able to:
- Understand the fundamentals of Physical Artificial Intelligence (AI) and how intelligent systems think, and act
- Explore how Physical AI systems perceive their environment, make decisions and support business operations
- Recognise real-world workplace applications such as automated checkout, quality inspection, safety monitoring and predictive maintenance
- Identify the key steps involved in training a simple computer vision model using Teachable Machine
- Identify business opportunities enabled by smart devices, sensors, and AI-driven physical systems
- Interpret how data and decisions flow through Physical AI systems
- Compare different types of Physical AI solutions for business use
- Understand safety, ethics, and governance considerations in deploying Physical AI
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 SMU Academy.
Calculate Programme Fee
Fee Table
| EMPLOYER-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$784.80 (After SSG Funding 70%) |
$304.80 (After SSG Funding 70% |
$784.80 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
|
International Participant |
$2,616 (No Funding) |
$2,616 (No Funding) |
$2,616 (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.
Employer 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
Employers 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)
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