Practice of Integrating TensorFlow and DevOps in the Development of Vocational Skill Level Certification System in Chinese Higher Education Institutions
This article explores the integrated application of DevOps and deep learning technology TensorFlow in the development of vocational skill level systems, emphasizing its important role in the digital transformation of universities. In a sense, the introduction of artificial intelligence deep learning technology, the improvement of software development efficiency, and the application of DevOps have become key technologies for universities to win the success of digital transformation. This study mainly adopts a quantitative analysis methods for research and analysis, and uses Excel, SPSS 23, Python, TensorFlow to conduct correlation analysis on the sample data. Finally, this study summarizes the importance and application value of combining deep learning technology TensorFlow with DevOps in improving R&D efficiency satisfaction and strengthening the development of China's vocational skills certification system.
Authors
- Shichang Wang
- Jianzhong Li
- Wenjuan Ma
- Xiaohan Zhou
- Qiang Wan
Institutions
- Chinese Academy of Social Sciences (CN)
- Guangdong University Of Finances and Economics (CN)
- Guangdong Industry Technical College (CN)
- Guangzhou Academy of Special Equipment Inspection and Testing (CN)
- Institute of Industrial Economics (CN)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1145/3745238.3745388
- Primary Topic
- Educational Technology and Assessment
- Type
- article
- Field-Weighted Citation Impact
- 0.00