This course aims to help you develop an integrated foundational knowledge of AI and its transformational potential across many fields, especially education. The course is targeted at educators who want to develop a firmer understanding of AI that can guide their teaching practice and beyond. As a participant, you will learn about the technological foundations of how computers learn, as well as become familiar with concepts such as artificial narrow intelligence, generative artificial intelligence, artificial general intelligence, artificial superintelligence, and how to apply them. You will achieve this aim at a no-code, conceptual and practical level. You will also learn to integrate important human foundations of AI such as ethics, fairness, safety, responsibility, governance, and others. Specific case studies that integrate technology with human considerations from both non-education and education fields will be utilised.

The course is divided into smaller units. The units and their associated contents are: 
1. Introduction and Basics: 
AI everywhere, how computers learn  
2. Artificial narrow intelligence:
Data analytics/tabular data, computer vision, language models  
3. Human-level intelligence and beyond:
Generative artificial intelligence, artificial general intelligence, artificial superintelligence  
4. Human foundations I:
Ethics, fairness, safety, responsibility, human agency and philosophy  
5. Human foundations II: 
Frameworks for AI literacy, leadership, and governance  
6. Integrating and applying via case studies:
Use cases integrating technology and human considerations across different domains/fields 
 
Course Format and Delivery Options: