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Corporate Innovation through Artificial Intelligence (AI) Intrapreneurship

  • Innovation & Business Improvement
Next Intake: 21 May 2026 (Thu)
  • Basic
  • SkillsFuture
  • Short Courses

This programme 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.

Next course starts on
21 May 2026 (Thu) See Full Schedule
Fee
SGD2,616* (as low as SGD304.80 after maximum funding) Learn More
Duration

2 days
Weekdays (9am - 6pm)

Level
Basic
Venue

Singapore Management University

Who Should Attend

  • Innovation Managers
  • Product Managers
  • Strategy Leads
  • Digital Transformation Officers
  • Business Analysts

Overview

Unlock tangible business value and competitive advantage through hands-on application of Artificial Intelligence (AI) strategies.

This course offers a strategic and hands-on exploration of how AI can drive innovation within modern organisations. It starts with a solid foundation in AI - its evolution, key technologies, core competencies, and real-world impact, setting the stage for more advanced applications. Participants will then explore how AI is transforming industries, examining real-world case studies and engaging in discussions that reveal the practical value of AI skills in today’s job market.

The core of the course focuses on AI-intrapreneurship, empowering participants to lead innovation from within existing companies. Through frameworks, tools, and strategies, participants learn to overcome implementation challenges, manage AI initiatives, and align technological solutions with business goals. Finally, participants bring their learning to life by designing a real-world AI driven solution.

The course equips future intrapreneurs and innovators with the mindset, knowledge, and tools to drive meaningful change through AI within corporate environments.

Learning Objectives

At the end of the 2-day course, participants will be able to:

  • Understand the fundamentals of Artificial Intelligence (AI)
  • Apply AI for intrapreneurship and innovation
  • Align AI solutions with business goals
  • Design and communicate an AI development and deployment strategy

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of every module. The mode of assessment varies depending on the modules and it will be either an online quiz or group presentation.

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

Click here for more information about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

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%
+ ETSS Funding 20%)

$784.80

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$304.80

(After SSG Funding 70%
+ MCES Funding 20%)

$304.80

(After SSG Funding 70%
+ ETSS Funding 20%)

$304.80

(After SSG Funding 70%
+ MCES Funding 20%)

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.
(Please note that PSEA payments will be temporarily unavailable from 10 to 30 April 2026 due to a scheduled blackout by the Ministry of Education.)

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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*Registration will close 5 calendar days before the course start date, or once the class is full, whichever comes first.

Trainers

Chew Ern
Founder
AI @ One-North
Chew Ern
Founder
AI @ One-North

Chew Ern is an experienced AI venture builder, solution architect, and corporate innovator with over two decades of multidisciplinary experience spanning artificial intelligence, financial technology, and engineering leadership. His work bridges strategy and implementation; helping organisations leverage AI to achieve measurable innovation outcomes.

Chew Ern’s approach to learning is grounded in hands-on learning and business relevance. He blends real-world case studies with practical lab sessions, guiding participants to ideate, prototype, and deploy AI solutions that align with organisational objectives. His sessions foster an intrapreneurial mindset — equipping professionals to act as catalysts for AI-driven transformation within their own enterprises.

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