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Frontiers in Educational Research, 2022, 5(12); doi: 10.25236/FER.2022.051216.

A Practical Study on Building a Distributed Artificial Intelligence Experimental Teaching Platform Based on Traditional Laboratories


Chunlin Chen

Corresponding Author:
Chunlin Chen

Economic Management Experimental Teaching Center, Southwest University of Finance and Economics, Chengdu, 611130, China


In the process of integration of AI teaching into various disciplines, theoretical teaching and practical teaching are given equal importance, while the experimental teaching of AI has specific and complex requirements for the experimental environment. This paper introduces the practice and reflection on the method of microservice cluster transformation into AI experimental teaching platform based on the traditional laboratory, which makes full use of the existing laboratory hardware resources, fully introduces K8s, Docker and other open source technology solutions, creates a full process experimental environment for AI teaching that can fully improve the efficiency of teaching and research without affecting the daily teaching activities, optimizes the operation mechanism and service mode, realize the on-demand customization of teaching resources, improve teaching governance, and provide useful ideas and methods for the construction of experimental teaching environment of artificial intelligence.


artificial intelligence, experimental teaching, teaching platform, microservices, K8s, Jupyter, vGPU

Cite This Paper

Chunlin Chen. A Practical Study on Building a Distributed Artificial Intelligence Experimental Teaching Platform Based on Traditional Laboratories. Frontiers in Educational Research (2022) Vol. 5, Issue 12: 87-91. https://doi.org/10.25236/FER.2022.051216.


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