Amid the global push toward net-zero emissions and sustainable development, the manufacturing industry faces the dual challenges of digital transformation and carbon reduction. The "AI Smart Manufacturing and Low-Carbon Transition Workshop" is designed to equip participants with a comprehensive understanding of how artificial intelligence (AI) can be applied in smart manufacturing, while integrating carbon management practices to support sustainable transformation. This course focuses on how AI technologies—such as machine learning, image recognition, predictive maintenance, and digital twins—can enhance production efficiency and reduce energy and resource waste. In parallel, it introduces core tools for carbon management, including greenhouse gas (GHG) inventories, energy monitoring systems, and carbon footprint assessments, enabling learners to understand how manufacturers can implement carbon reduction strategies throughout the production process. Key topics include: an introduction to smart manufacturing and Industry 4.0, real-world AI applications in manufacturing, global carbon neutrality trends and policies, ISO 14064 GHG inventory standards, and practical approaches to carbon reduction in industrial settings. The workshop also features hands-on sessions where participants will collaborate in teams to work with simple AI models and design low-carbon strategies for simulated factory scenarios, strengthening their cross-disciplinary problem-solving and practical application skills. This workshop is ideal for students and technical professionals interested in AI applications, sustainable manufacturing, smart factories, or carbon management. No programming background is required. By combining theoretical insights with practical exercises, this course prepares participants to contribute to the low-carbon transformation of smart manufacturing and develop competencies aligned with the future needs of the sustainable industrial workforce.