Core Viewpoint - The article announces a training program focused on the application of artificial intelligence in materials science, emphasizing the importance of AI in driving innovation and industrial progress in the materials industry [1][2]. Summary by Sections Training Content - The program will cover various topics including: 1. New paradigms in materials science driven by AI 2. AI-enabled data acquisition, processing, and standardization in materials 3. AI's role in the discovery and design of new materials 4. AI applications in predicting material structures and properties 5. Use of AI in material characterization and testing 6. Multi-scale high-throughput computing in materials science 7. Automation in materials science experiments and design using AI 8. Core principles of AI-enabled materials science technologies 9. Applications of machine learning in materials science 10. Case studies of deep learning in materials science 11. Applications of reinforcement learning in key materials science technologies 12. Neuromorphic and brain-like computing applications in materials science 13. AI's contribution to intelligent manufacturing and industrialization of materials 14. Analysis of outstanding achievements in AI-enabled materials science [1][2]. Participants - The program is targeted at leaders, researchers, and technical personnel from enterprises, research institutes, and universities engaged in materials science, as well as individuals interested in the field [2]. Schedule and Location - The third session is scheduled from July 24 to 27, 2025, in Beijing (with online participation available) - The fourth session will take place from September 11 to 14, 2025, in Guangzhou (also with online participation) [2]. Invited Experts - Experts from renowned institutions such as the Chinese Academy of Sciences, Tsinghua University, Beijing University of Science and Technology, and Shanghai Jiao Tong University will be invited to teach [2]. Fees and Registration - The fee for participation is 4,980 yuan per person, which includes costs for experts, venue, meals, materials, and teaching services. Accommodation is available but at the participant's expense. The training is organized by Beijing Dingji Technology Consulting Co., Ltd. [3].