Work

Practice of Integrating TensorFlow and DevOps in the Development of Vocational Skill Level Certification System in Chinese Higher Education Institutions

Year: 2025

Type: conference-paper

Abstract: 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.

Source: Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI)

DOI: 10.1145/3745238.3745388

Authors: Jianzhong Li, Xiaochuan Zhou, Qiang Wan, Shichang Wang, Wenjuan Ma

Institutions: Guangdong Innovative Technical College, Guangzhou Huanan Business College, Chinese Academy of Social Sciences, Institute of Industrial Economics, Guangzhou Nanyang Polytechnic College

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4412789642

FWCI:

Cites: 2

Cited by:

Related to: 10