This course aims to provide a clear understanding of the foundations of AI ethics and their growing importance in light of the widespread adoption of intelligent technologies across various sectors. You will explore the potential and benefits of AI alongside the real-world harms and risks associated with it, gaining insight into core risk dimensions and the differences between the risks of traditional and generative AI. The course also covers principles for mitigating bias and promoting fairness, data ethics, privacy, and security within the context of local regulations, while highlighting the importance of transparency and explainability. In addition, participants will learn how to apply governance and accountability frameworks in AI projects, assess ethical and technical footprints, and explore relevant career pathways, supported by a case study that illustrates stakeholders and risks in a real-world context.