Gen AI for Climate Change in Financial Services
Mitigate Climate Risk and Enhance Your Brand Image with Generative AI
Protect your financial institution’s reputation while reducing carbon emissions. Learn how to harness AI & Generative AI to navigate the complexities of climate change and drive sustainable growth.
Enroll Immediately
15 minutes per day
6 weeks
Certificate of achievement
Hands-on Projects
Programme Instructors
Huy Nguyen Trieu
Co-founder, CFTE
Amit Agrawal
Snr. Climate Tech Advisor
A programme part of the AI in Finance Academy, training +20,000 professionals across organisations.
A programme part of the AI in Finance Academy, training +20,000 professionals globally.
Harness Generative AI for a sustainable financial future
Powered by big data and unparalleled computing capabilities, generative AI is the cutting-edge trend transforming sustainability. It is a massive shift in how analysts will create value and conduct projects differently.
Our programme is designed to equip professionals with the knowledge and skills to leverage generative AI technologies effectively in their ESG strategies.
Of new Climate Change roles did not exist 20 years ago.
(LinkedIn, 2024).
Increase of jobs in the ESG sector in Singapore because of climate change impact.
(Hrsea Economic times, 2022).
Of office workers mention a clear commitment to ESG would attract them to work in the companies
(KPMG Survey 2023)..
AI can be a powerful accelerant in addressing the climate crisis.
Designed for your success.
Master this topic with our all-round curriculum featuring..
Constantly updated course
You will never miss any new industry updates.
Industry recognised certification
Get an accredited certificate endorsed by trusted bodies.
Hands-on projects for practical uses
Learn how to use generative AI tools for marketing.
Join the gobal community
Lifetime access to our community of 10K+ visionaries.
Real-World Applications and case studies
Discover how leading organisations are harnessing generative AI for marketing and enhance your skills with our hands-on exercises and learn from industry best practices.
Delivered by Amit Agrawal – Climate Tech Advisor
Season business advisor helping ClimateTech, Financial Technology, IT Software, and management consulting firms to scale ESG strategies in North America.
Your All-Access Pass to sustainability
Dive into a world of learning with flexible video and reading courses. Plus, get the inside scoop from top sustainability experts around the globe. You will get to understand the intricacies of sustainability efforts at globally.
Complete GenAI for Climate Change Toolkit
Accelerate your sustainability career with our carefully curated video library designed to teach you how to leverage generative AI through expert-led tutorials and real-world examples.
At the end of this programme, you'll...
The bite-sized courses enable you to get the basics right from the mechanism of Generative AI, current climate change landscape and value chain only 15 minutes per day for 6 weeks.
You will get the chance to understand the generative AI applications in climate change and how other companies are implementing generative AI to drive sustainable outcomes.
Learn how to use the cutting-edge generative AI tools in marketing from market research, analysing data and making informed decisions, all driven by Gen AI.
Learn how to use AI responsibly by identifying the opportunities, data management, ethical consideration and regulations worldwide.
The course enables you to understand the current implementation of generative AI and key success factors of user journey. You will be able to apply the strategic framework to your team.
From basic to advanced concepts
15-minute lesson per day over 6 weeks. Aquire all the skills for Generative AI.
This week explores the definition, the inner mechanisms, and the evolution of Generative AI.
- Day 1: Definition of Generative AI
- Day 2: Differences between traditional Machine Learning and Generative AI
- Day 3: Transformers: a revolutionary breakthrough
- Day 4: Scaling transformers
- Day 5: LLMs as a new human/machine interface
This week discusses the Generative AI landscape and key players such as infrastructure providers, model providers and application providers.
- Day 6: Model providers
- Day 7: Infrastructure providers
- Day 8: Application providers
- Day 9: Hands-on project: Getting started with ChatGPT and Customer Personas
- Day 10: Hands-on project: Analysing & extracting information from PDF Reports with AI
This week delves into the ESG domain and compare traditional approaches with AI-driven methods.
- Day 11: Introduction and Background of Climate Change
- Day 12: Current landscape of Generative AI in Climate Change
- Day 13: Current challenges in Climate Action
- Day 14: Traditional vs AI-driven Approach
- Day 15: Expert interview: TBC
This week discusses Generative AI applications and current initiatives and use cases in climate change.
- Day 16: Framework of Generative AI in Climate Change
- Day 17: Practical Applications and Strategy
- Day 18: Case Study: Generative AI in Climate Risk Analysis
- Day 19: Case Study: Optimising Energy Consumption in City
- Day 20: Case Study: Earth-2 and Geospatial
This week focuses on practical applications of generative AI tools in climate change. Projects include using AI for understanding climate change concepts, analysing reports and carbon footprint calculation.
- Day 21: Navigate key Generative AI tools
- Day 22:Hands-on project: Understanding Climate Change Concepts
- Day 23:Hands-on project: Reporting Analysis with ChatGPT
- Day 24: Hands-on project: Carbon Footprint Calculation
- Day 25: Role of Cloud in Climate Action
This week examines the advantages and key success factors of implementing AI in Climate Action and explores the regulation globally.
- Day 26: Advantages / Key Success Factors of AI implementation in Climate Action
- Day 27: Need for Global AI Regulations
- Day 28: Challenges
- Day 29: Ethical issues in Gen AI in Climate Action
- Day 30: Expert interview: TBC
Who should take this course?
Professionals including those in Corporate, Education, Academia, Training Associations, NGOs and more across these roles
Sustainability and research teams
Senior Leaders and Executives
ESG Research Teams
Compliance Teams
Risk Management Teams
Why our alumni love our programmes
Delivered by Top Industry Experts
Huy Nguyen Trieu
Co-Founder and Programme Director
Amit Agrawal
Helping ClimateTech, FinTech, IT Software and management consulting firms to scale in North America
Huy Nguyen Trieu is the Co-Founder of CFTE and CEO of The Disruptive Group, an advisory firm in innovation and finance. He is also a Venture Partner at Mundi Ventures, a VC fund in Fintech and Insurtech.
Passionate about upskilling, Huy co-founded CFTE to help people improve their skills in a tech-driven world. Previously, he was a Managing Director at Citi, and held roles at Royal Bank of Scotland and Société Générale. Huy also led Ukibi, a VC-funded startup in the US.
Huy Nguyen Trieu
Co-founder and Programme Director, CFTE; Former Managing Director, Citi
Shonali Krishnaswamy
Expert in AI and Machine Learning, Mobile and Distributed Analytics, Intelligent Systems. CTO at AIDA Technologies Pte Ltd
Dr. Shonali Krishnaswamy is the Chief Technology Officer at AIDA Technologies, a leading AI and machine learning company in Singapore. With a Ph.D. in Computer Science from Monash University, she has held significant roles such as Head of Data Analytics at A*STAR and Associate Professor at Monash University. Her career spans over 15 years in data science and intelligent systems, during which she has published over 150 research papers and led one of Singapore’s largest analytics teams.
Dr. Krishnaswamy has received numerous accolades, including the Institute of Engineers Singapore Prestigious Engineering Award and the ASEAN Outstanding Engineering Award, and was named one of Singapore’s Inaugural 100 Women in Technology in 2020
Delivered by Top Industry Experts
Huy Nguyen Trieu
Co-founder and Programme Director, CFTE; Former Managing Director, Citi
Huy Nguyen Trieu is the Co-Founder of CFTE and CEO of The Disruptive Group, an advisory firm in innovation and finance. He is also a Venture Partner at Mundi Ventures, a VC fund in Fintech and Insurtech.
Passionate about upskilling, Huy co-founded CFTE to help people improve their skills in a tech-driven world. Previously, he was a Managing Director at Citi, and held roles at Royal Bank of Scotland and Société Générale. Huy also led Ukibi, a VC-funded startup in the US.
Amit Agrawal
Helping ClimateTech, FinTech, IT Software and management consulting firms to scale in North America
Amit is a seasoned Business Advisor in ClimateTech and FinTech, excels in regulatory risk management and ESG trends. With experience at firms like KPMG, Amit has guided organisations through complex regulatory landscapes, driving impactful ESG changes.
Programme Details
Start date
Beginning of October
Programme Tuition
£450
Programme Format
100% online, self-paced
Earn an industry-accredited certificate
Receive a Certificate in Generative AI issued by CFTE. The certificate online can serve as a stepping stone to further advancement in your career. Don’t miss this opportunity to stand out in your field.
Make Gen AI your organisation's ESG Driver.
40% discount valid until September 1st
Apply the code to claim the discount: genai40esg
Apply the code to claim the discount: genai40esg
Pricing includes:
- 6 chapters and 4 hours of expert content
- Guest experts video
- Hands-on projects
- 7 Handbooks
- Lifetime access to global community
- Accredited Certificate (In progress)
Mode of payment.
We accept all major credit cards and debit cards.
Get reimbursed by your employer.
Speak to your manager about the course, and get a reimbursement by your employer. Here is how you can do it (with a template provided).
Instalments.
You can choose to pay the full amount, or you can opt for a 2-part payment plan option. The 2-part payment option requires one payment upfront, followed by second during your course.
Register your interest to Generative AI in Climate Change now
Save your spot to get a special discount when the course is launched
Looking to upskill your organisation? Talk to us.
Interested in training your organisation or sponsoring the course? Contact our team and get more information on the programme.
FAQ
Most frequent questions and answers about our specialisation
What is the course about?
The course is an online certificate programme designed to empower professionals and institutions with skills to use and leverage generative AI in Climate Change.
The course is self-paced, featuring 15-min daily lessons over 6 weeks with hands-on projects, case studies and industry expert interviews.
The course content covers fundamentals of generative AI, the landscape of generative AI in climate change, current and future applications, and risk management and regulation.
Why this course?
Participants will gain in-depth knowledge of generative AI, understand its applications and underlying mechanisms, and learn about global trends and know how to integrate AI in their organisations.
The course is designed for professionals in ESG who want to enhance productivity and stay competitive in their jobs.
Accessing this course
Participants can immediately enrol the course, costing £450.
- Mode of payment– We accept all major credit cards and debit cards.
- Instalments – You can choose to pay the full amount, or you can opt for a 2-part payment plan option. The 2-part payment option requires one payment upfront, followed by second and third during your course. Contact our team at learning@cfte.education for more information.
- Get reimbursed by your employer. Speak to your employer and get funded for your learning! Here’s how we can help.
You will have access to the course for 6 months from enrolment. This duration is set to ensure you can pace yourself for the best learning outcome. Though not a common request, you can talk to us if you need an extension of the access after the 6 months are up.
Yes, you will receive a digital certificate upon successful completion of the course. This certificate is digital so it can be shared at any time and embedded into your online professional profile.
If you decide within one week after enrolling in the course (or 5% of completion) that it’s not the right fit for you, we will issue a full refund.
