Artificial intelligence has become a very popular development topic in the field of science and technology. It combines big data science and data mining methods to analyze the precious meaning behind big data, and equipped with energy-saving computing systems for real-time analysis. Artificial intelligence technology can be widely used in our daily life, covering all kinds of smart applications such as smart transportation, smart medical care, smart factories and smart agriculture, and it is ubiquitous and has infinite potential. Group A focuses on the research and development of artificial intelligence, data science, energy-saving computing and application technology, and practice the spirit of Industry-Academia co-creation of the Institute of Industry-Academia Innovation School(IAIS). Group A would integrate the rich resources and excellent teachers of NYCU with cross-domain curriculum module teaching , and combine the Industry-Academia Research Center to actively cultivate talents in the fields of artificial intelligence, energy-saving computing systems and data science, so that they have the ability to lead innovation, have the ability to solve key technical problems, meet the needs of Taiwan's economic and industrial development, and have International outlook and global competitiveness. Through the AI talent sprint, it actively promotes Industry-Academia cooperation, drives the integration of AI technology with the industry, and leads the development and growth of Taiwan's technology. The talents trained by Group A have solid basic science and AI professional knowledge, comprehend cross-domain knowledge, and have AI engineering process and practical ability. In line with this goal, the course plan of Group A covers many courses in the field of AI with both depth and breadth, including basic AI theory, AI data analysis, AI energy-saving computing system and chip platform, AI smart application and other key directions. The important feature of this course is to build diversified practical applications in the field of AI that are close to the front-line needs of the industry and integrate software and hardware, such as drones, self-driving cars, reinforcement learning visual intelligence systems, video compression, AI chip design, factory automation testing, medical data analysis and AI robots, etc., provided students with the latest academic achievements, in-depth real-world scenarios, and directly learn how to "use AI to solve real-world problems" of AI engineering practice.