This course aims to introduce various key concepts, technologies and applications in edge artificial intelligence (AI), which is the implementation of AI applications in an edge computing environment, which allows the computation to be processed close to where the data is located. The topics covered include, but are not limited to: basic concepts and fundamental technologies in edge AI, hardware for edge AI (e.g., embedded AI accelerators, FPGA, and infrastructures), interaction between edge AI and the cloud, machine learning techniques for model compression, security and privacy in edge AI, applications of edge AI for smart health and autonomous driving.