Course curriculum

  • 01

    Welcome to the programme

    • Thank you for enrolling into the course!
  • 02

    Welcome to the programme!

    • Welcome to Generative AI for Climate Change

    • ▶️ A Welcome from Huy Nguyen Trieu, Co-Founder of CFTE

    • A Welcome from senior lecturer - Amit Agrawal

    • Join our Global Community!

    • Preliminary Survey - Getting Started
  • 03

    Day 1: Definition of Generative AI

    • ▶️ Definition of Generative AI

    • 🎮 Quizlet Exercise | Match the AI Terminology

    • 📚 Readings
  • 04

    Day 2: Differences between Traditional Machine Learning and Generative AI

    • ▶️ Differences between Traditional Machine Learning and Generative AI

    • 📚 Readings

    • ✍ Self Assessment
  • 05

    Day 3: Transformers: a revolutionary breakthrough

    • ▶️ Transformers : A Revolutionary Breakthrough

    • 📚 Readings
  • 06

    Day 4: Scaling transformers

    • ▶️ Scaling transformers

    • 📚 Readings
  • 07

    Day 5: LLMs as a new human/machine interface

    • ▶️ LLMs as a new human/machine interface

    • Using AI in our Professional Lives
  • 08

    Week 1 Conclusion

    • 📕 Week 1 Handbook

    • ✍ Self Assessment
  • 09

    Week 2: The Landscape of Generative AI

    • Welcome to Week 2
  • 10

    Day 6: Model Providers

    • ▶️ Model Providers

    • 📚 Readings

    • 📐 Quizlet Exercise | Find the Model Providers
  • 11

    Day 7: Infrastructure Providers

    • ▶️ Infrastructure Providers

    • 📚 Readings

    • 📐 Quizlet Exercise | Find the Infrastructure Providers
  • 12

    Day 8: Application Providers

    • ▶️ Application Providers

    • 📐 Quizlet Exercise | Match the Application Providers
  • 13

    Day 9: Hands-on project: Getting started with ChatGPT and Customer Personas

    • CAT Framework

    • Project Introduction

    • 📕 Project Handbook

    • Project Tools

    • Project Instructions

    • Project Conclusion
  • 14

    Day 10: Hands-on project: Analysing & extracting information from PDF Reports with AI

    • Project Introduction

    • 📕 Project Handbook

    • Project Tools

    • Project Instructions

    • Project Conclusion
  • 15

    Week 2 Conclusion

    • 📕 Week 2 Handbook

    • ✍ Self Assessment

  • 16

    Week 3: Current landscape of Generative AI in Climate Change

    • Welcome to Week 3
  • 17

    Day 11: Introduction and Background of Climate Change

    • ▶️ Introduction and Background of Climate Change
  • 18

    Day 12: Current landscape of Generative AI in Climate Change

    • Current landscape of Generative AI in Climate Change

    • 📚 Readings
  • 19

    Day 13: Current challenges in Climate Action

    • Current challenges in Climate Action

    • 📚 Readings
  • 20

    Day 14: Traditional vs AI-driven Approach

    • Traditional vs AI-driven Approach

  • 21

    Week 3 Conclusion

    • Congratulations

    • 📕 Week 3 Handbook

    • ✍ Self Assessment
  • 22

    Week 4: Applications of Generative AI in Climate Change

    • Welcome to Week 4
  • 23

    Day 16: Framework of Generative AI in Climate Change

    • Framework of Generative AI in Climate Change

    • 📚 Readings
  • 24

    Day 17: Practical Applications and Strategy

    • Practical Applications and Strategy

    • 📚 Readings
  • 25

    Day 18: Case Study: Generative AI in climate risk analysis

    • Case Study: Generative AI in climate risk analysis
  • 26

    Day 19: Case Study: Optimising Energy Consumption in City​

    • Case Study: Optimising Energy Consumption in City​
  • 27

    Day 20: Case Study: Earth-2 and Geospatial

    • Case Study: Earth-2 and Geospatial

    • 📚 Readings
  • 28

    Week 4 Conclusion

    • Congratulations

    • 📕 Week 4 Handbook

    • ✍ Self Assessment
  • 29

    Week 5: From Theory to Practice: Practical Approach

    • Welcome to Week 5
  • 30

    Day 21: Navigate key Generative AI tools

    • Navigate key Generative AI tools

    • 📚 Readings
  • 31

    Day 22: Hands-on project: Understanding Climate Change Concepts

    • Hands-on project: Understanding Climate Change Concepts
  • 32

    Day 23: Hands-on project: Reporting Analysis with ChatGPT

    • Hands-on project: Reporting Analysis with ChatGPT
  • 33

    Day 24: Hands-on project: Carbon Footprint Calculation

    • Hands-on project: Carbon Footprint Calculation
  • 34

    Day 25: Role of Cloud in Climate Action

    • Role of Cloud in Climate Action
  • 35

    Week 5 Conclusion

    • Congratulations

    • 📕 Week 5 Handbook

    • ✍ Self Assessment
  • 36

    Week 6: Opportunity and risk in Climate Action

    • Welcome to Week 6
  • 37

    Day 26: Advantages / Key Success Factors of AI implementation in Climate Action

    • Advantages / Key Success Factors of AI implementation in Climate Action

    • Self Assesment
  • 38

    Day 27: Need for Global AI Regulations

    • The Risk of Using AI wrongly

    • Framework to use AI (TPP)

    • Frameworks to use AI

    • Need for Global AI Regulations

    • 📚 Readings AI Regulations

    • The Story behind

    • FEAT Principles

    • FEAT Principles

    • Fairness

    • Ethics

    • Accountability

    • Transparency

    • ✍ Self Assessment FEAT
  • 39

    Day 28: Project MindForge

    • Project Mindforge

    • Project MindForge

    • Executive Summary - Emerging Risks and Opportunities of Generative AI for Banks

    • Key Goals of the MindForge Framework

    • Handling Hallucinations in Generative AI

    • Intellectual Property (IP) Considerations in GenAI

    • Emerging Risks and Opportunities of Generative AI for Banks

    • ✍ Self Assessment
  • 40

    Day 29: Risks and Challenges

    • Risks & Challenges

    • Application of ML and Gen AI in Financial Crime and Fraud Dectection
  • 41

    Day 30: Ethical issues in Gen AI in Climate Action

    • Ethical issues in Generative AI in Climate Action

    • 📚 Readings
  • 42

    Week 6 Conclusion

    • Congratulations

    • 📕 Week 6 Handbook

    • ✍ Self Assessment
  • 43

    Congratulations on completing the programme!

    • Future Outlook

    • Congratulations!

    • 🏆 Share your achievement