In response to the "China-ASEAN 2030 TVET Flagship Courses Sharing Initiative" initiated by the Southeast Asian Ministers of Education Organization Regional Centre for Technical Education Development (SEAMEO TED), and to serve the human resource needs for international production capacity cooperation in ASEAN countries, Sichuan Vocational College of Information Technology, leveraging its professional strengths, has actively participated in the application and development of the project. Under the artificial intelligence technology application professional standard, the school has meticulously created four international digital course resources: "Machine Learning", "Introduction to Artificial Intelligence", "Deep Learning" and "Data Annotation".

The project aims to select high-quality teaching resources from Chinese vocational institutions and develop internationalized digital flagship courses that meet the needs of Chinese enterprises’ international capacity cooperation and align with the industry development plans of Southeast Asian countries. These newly launched courses, as an important part of the project, have been officially released on the China-ASEAN Technical Education Cooperation Platform (CATECP). They will be promoted by SEAMEO TED to vocational institutions and related organizations in ASEAN countries, contributing to the cultivation of technical and skilled talents in Southeast Asia, supporting the localization of employees in overseas Chinese enterprises, and enhancing the international influence of Chinese vocational education.

Through the study of these four courses, students can master the principles of machine learning algorithms, model training, and practical applications; understand fundamental AI concepts (such as machine learning and deep learning) and core technical principles, and develop basic AI tool operation skills; learn the foundational theories of deep learning, mainstream models (such as CNNs), and their practical applications; become familiar with the principles and methods of labeling structured and unstructured data, and develop the ability to provide data support for machine learning. These areas of knowledge will help students build a comprehensive knowledge system, lay a solid foundation for subsequent studies or work in the artificial intelligence technology application industry, and create more possibilities for future career development.