This course aims to help students understand the applications of artificial intelligence (AI) in industries and master the core concepts and strategies of low-carbon transition to address global industrial transformation and sustainable development needs. The course covers the fundamentals of AI technology, smart manufacturing applications, low-carbon transition strategies, carbon management techniques, and corporate ESG development trends. By integrating theoretical instruction with practical exercises, students will gain an in-depth understanding of how AI technology can be utilized to enhance manufacturing efficiency, reduce energy consumption and carbon emissions, and achieve green production goals. First, the course will introduce the basic concepts and applications of AI technology, covering machine learning, deep learning, computer vision, big data analytics, predictive maintenance, and the Industrial Internet of Things (IIoT), and how these technologies improve the flexibility and efficiency of smart manufacturing. Additionally, the course will analyze AI’s critical role in production scheduling, quality inspection, automation control, and smart supply chain management. Next, the course will focus on low-carbon transition and carbon management strategies, explaining carbon footprint calculation, carbon inventory techniques, carbon asset management, carbon trading mechanisms, and international standards such as ISO 14064 and the GHG Protocol. It will also explore how companies can optimize energy usage and reduce carbon emissions through AI technology to align with global sustainability trends. Furthermore, the course will analyze successful case studies of smart manufacturing and low-carbon transition worldwide to help students understand how businesses leverage technological innovation to achieve net-zero transformation. Finally, the course will include hands-on projects and case studies. Students will use AI data analytics tools to simulate smart manufacturing scenarios and carbon management systems, learning how to apply AI technology for carbon emission monitoring, energy efficiency analysis, and decision-making optimization. This will further develop their practical application skills and problem-solving abilities. Through this course, students will gain a comprehensive understanding of AI and low-carbon technologies, equipping them to tackle the challenges of sustainable development in the manufacturing industry, create competitive advantages for businesses, and drive the implementation of green manufacturing and low-carbon transition.