Singapore Management University (SMU) Singapore Management University (SMU) Singapore Management University (SMU)
SMU Academy

Main navigation

  • Home
  • About Us
    Overview
  • Courses & Programmes
    Course Finder Short Courses Full Certificates Industry Practice Master of Digital Economy (IPMDE) Industry Graduate Diplomas (IGDs) Internationalisation Series SkillsFuture Career Transition Programme (SCTP) SkillsFuture Level-Up Programme
  • Learning & Development for Companies
    Corporate Training Courses
  • Resources
    Events Insights News Videos & Webinars
  • FAQs
    FAQs Course Information SkillsFuture Credit
  • Contact Us
    Enquire Now Getting to SMU
  • OpenCerts Verifier

Enabling Climate Adaptation and Resilience with Digitalisation and Artificial Intelligence (AI)

  • Artificial Intelligence
  • Environmental, Social & Corporate Governance
Next Intake: 24 Sep 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
24 Sep 2026 (Thu) See Full Schedule
Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

2 days
Weekdays (9am - 6pm)

Level
Basic
Venue

Singapore Management University

Who Should Attend

  • Climate Strategy Managers
  • Digital & Data Transformation Leads
  • Artificial Intelligence Product/ Programme Managers
  • Supply Chain & Operations Risk Managers 

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

Climate adaptation and resilience are becoming increasingly important for organisations operating in a volatile and resource-constrained environment.

Digitalisation and Artificial Intelligence (AI) are emerging as key enablers in helping enterprises strengthen operational resilience, improve decision-making, and support climate adaptation strategies at scale. 

This course explores how digitalisation and AI function as core enablers of climate adaptation and resilience. Participants will examine AI applications in predictive climate modelling, supply chain risk management, infrastructure optimisation, automation, and emissions reduction. 

The course also introduces key considerations in data architecture, governance frameworks, machine learning applications, and the integration of AI into sustainability operating models. Emphasis is placed on translating digital capabilities into measurable adaptation value and connecting technical AI concepts with executive and enterprise decision-making. 

Learning Objectives

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

  • Understand climate adaptation from an enterprise optimisation perspective, distinguishing it from sustainability reporting, Environmental, Social and Governance (ESG) compliance, and long-term climate mitigation narratives 
  • Develop a shared conceptual understanding of digitalisation and Artificial Intelligence (AI), clarifying their distinct but complementary roles in improving enterprise visibility, decision-making, and operational performance 
  • Assess the impact of climate volatility and resource constraints on enterprise operations, assets, and workforce 
  • Evaluate sustainability as a design constraint, shaping optimisation and strategic decisions across the organisation 
  • Develop a shared framework and language to interpret climate adaptation and digital transformation concepts across industries, functions and professional backgrounds 

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: 5 & 7 Jan 2026 [Registration Closed]

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

Trainers

Celia Chua
Trainer
Global Green Connect Academy
Celia Chua
Trainer
Global Green Connect Academy

Celia Chua is a sustainability specialist with expertise in life cycle assessment (LCA), carbon footprint management, and ESG integration. She currently serves as Regional Head (Carbon and LCA) at Global Green Connect, where she leads initiatives to embed carbon accounting and sustainability practices across industries. Previously, she was Senior Carbon Specialist at MioTech, supporting financial institutions with ESG data and analytics.

With over a decade of experience, Celia has worked extensively on carbon measurement, climate disclosures, and sustainability strategy. She is certified in TCFD, a practicing management consultant, and an ACLP-certified trainer, combining technical expertise with instructional skills to deliver impactful learning.

Her academic credentials include a Master’s in Environmental Management (NUS), a Bachelor’s in Materials Engineering (NTU), a Diploma in Chemical Engineering (Singapore Polytechnic), and a Specialist Diploma in Data Science and AI. Celia is passionate about helping organizations integrate sustainability into operations and investments to drive measurable impact.

You might also be interested in

Jump Start in Artificial Intelligence, Machine Learning and Deep Learning
Jump Start in Artificial Intelligence, Machine Learning and Deep Learning
03 Sep 2026
Advanced Certificate in Generative Artificial Intelligence Apps Design and Prompt Engineering Module 6: Gen AI Apps Design and Prompt Engineering in Marketing and Communications
Advanced Certificate in Generative Artificial Intelligence Apps Design and Prompt Engineering Module 6: Gen AI Apps Design and Prompt Engineering in Marketing and Communications
03 Sep 2026
Certified Artificial Intelligence Governance Professional (AIGP)
Certified Artificial Intelligence Governance Professional (AIGP)
07 Sep 2026
Advanced Certificate in Generative Artificial Intelligence Apps Design and Prompt Engineering Module 2: Gen AI Apps Design and Prompt Engineering in Human Resource
Advanced Certificate in Generative Artificial Intelligence Apps Design and Prompt Engineering Module 2: Gen AI Apps Design and Prompt Engineering in Human Resource
09 Sep 2026
  • Overview
  • Assessment
  • Calculate Programme Fee
  • Fee Table
  • Intake Information
  • Trainers
Enquire
Chatbot
Hey, chat with me!

SMU Academy Chatbot

Directions & Carpark

  • Maps & Directions
  • Carpark Information

Courses

  • Course Finder
  • Short Courses
  • Full Certificates
  • Industry Practice Master of Digital Economy (IPMDE)
  • Industry Graduate Diplomas (IGDs)
  • Internationalisation Series
  • SkillsFuture Career Transition Programme (SCTP)

Explore

  • Why Choose Us
  • Frequently Asked Questions
  • Course Policies
  • Code of Conduct

Get in Touch

  • Contact Us
  • In-Person Enquiries

Follow Us On

  • Facebook
  • LinkedIn
  • Instagram
  • TikTok
  • Terms of Use
  • Website Feedback
  • Report Whistleblowing
  • Personal Data Protection
  • Facebook
  • Instagram
  • Twitter
  • LinkedIn
  • YouTube
  • SoundCloud
  • TikTok
© 2026 Singapore Management University. All Rights Reserved.