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Scaling Artificial Intelligence (AI) For Climate Adaptation: From Experiments to Enterprise Impact

  • Artificial Intelligence
  • Environmental, Social & Corporate Governance
  • Basic
  • SkillsFuture
  • Short Courses
  • This module is part of Advanced Certificate in Sustainable Value Creation

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
To be advised
Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

2 days

Level
Basic
Venue

Singapore Management University

Who Should Attend

  • Chief Digital/ Data Officers
  • Enterprise Transformation Leaders
  • Artificial Intelligence (AI) Programme & Governance Leads

PREREQUISITE

  • Participants should have at least 2 years of working experience in a business, sustainability, digital, technology, operations, policy, finance, or related professional role

Overview

Scaling Artificial Intelligence (AI) from isolated pilots to enterprise-wide impact remains one of the most critical challenges in AI transformation, particularly in the context of climate adaptation.

This capstone-oriented course examines how organisations scale AI initiatives from pilot experimentation to enterprise-wide impact in support of climate adaptation. It explores the governance structures, data maturity, capability development, and risk management strategies required to support sustainable AI deployment. The module also considers risk management and organisational alignment to ensure AI initiatives deliver both sustainability and business outcomes. 

Drawing on digital transformation frameworks, the module connects AI scaling with climate strategy, enabling organisations to generate measurable impact across operations, resilience, and performance. Participants will synthesise programme insights into actionable roadmaps that support scaling AI initiatives effectively. 

Learning Objectives

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

  • Analyse why Artificial Intelligence (AI) initiatives stall at the pilot stage, and identify barriers to scaling 
  • Understand the organisational, data, and governance requirements needed to support AI at scale 
  • Apply practical approaches to embed AI into core business processes and workflows 
  • Use structured scaling frameworks to maximise value across different stages of AI deployment 
  • Evaluate the interaction between human and machine capabilities, and its impact on operational effectiveness 

Assessment

As part of the requirement for Skills and Workforce Development Agency (SWDA), there will be an assessment conducted at the end of the course. Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion.

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+

$654

(After SWDA Funding 70%)

$254

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

$654

(After SWDA Funding 70%)

Singapore Citizen ≥ 40 years old

$254

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

$254

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

$254

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

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.

SkillsFuture Level-Up Programme for Mid-Career Individuals
A SkillsFuture Credit (Mid-Career) top-up of $4,000 will be provided to Singaporeans aged 40 years and above to further offset out-of-pocket course fees for this programme.

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)

Intake Information

Next Intake: To be advised

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

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