Interdisciplinary AI education aligned with United Nations Sustainable Development Goals (UN SDGs)
The AI4SG curriculum is openly available for educational use. If you use any part of this curriculum in your course, program, or research, you are required to cite the relevant publication(s) listed under each level below.
Students identify a real social problem aligned with a UN SDG, explore relevant AI technologies, and propose an AI-powered solution through research, design thinking, and team presentation. No coding required.
Cite Level 1
Students build and deploy working AI prototypes using OpenAI tools, progressing from setup through full application deployment.
| Lab | Topic | Repository |
|---|---|---|
| Lab 1 | Setting up for OpenAI development | Lab1-openai-setup |
| Lab 2 | Generating text with OpenAI | Lab2-Generating-Text |
| Lab 3 | Generating images with OpenAI | Lab3-Generating-Images |
| Lab 4 | Audio transcription | Lab4-Audio-Transcription |
| Lab 5 | Prompt engineering | Lab5-Prompt-Engineering |
| Lab 6 | Building a chatbot | Lab6-Chatbot |
| Lab 7 | Retrieval-Augmented Generation (RAG) | Lab7-RAG |
| Lab 8 | Deploying an AI application | Lab8-Deployment |
Cite Level 2 (OpenAI)
These labs guided students through building conversational AI agents using IBM Watson Assistant, progressing from basic setup to complex dialog design.
| Lab | Topic | Repository |
|---|---|---|
| Lab 1 | Watson Assistant setup | 1_Watson_Assistant |
| Lab 2a | Importing skills in Watson | 2a_ImportingSkills_Watson |
| Lab 2b | Building a virtual assistant | 2b_Virtual_Assistant |
| Lab 3 | Chatbot to conduct interviews | 3_Chatbot_to_ConductInterviews |
| Lab 4 | Creating conversational flows | 4_Creating_Conversational_Flows |
| Lab 5 | Deploying a chatbot | 5_Deploying_Chatbot |
Cite Level 2 (IBM Watson)
The full curriculum materials are available on GitHub, including all lab repositories, the ideation mini project, and citation guides.
View on GitHub ↗