Deepening Industry–Education Integration to Empower Faculty Development | The First Session of the 2026 AI+Industrial Digitalization Specialized Faculty Training Program Concludes Successfully

Deeply cultivating industry–education integration to empower faculty development! From July 18 to 22, the first session of the 2026 AI + Industrial Digitalization Technology Specialized Faculty Training Program concluded successfully at Chengfei Intelligence’s headquarters. The five-day program centered on systematic theoretical instruction, immersive hands-on training, and a comprehensive final assessment. Throughout the course, participating instructors engaged in dedicated study and successfully completed all training requirements, graduating with distinction.

This training program is closely aligned with the core requirements of the national “AI Plus Manufacturing” Special Action Implementation Opinions, precisely addressing the challenges and pedagogical pain points associated with the digital transformation of engineering disciplines—such as intelligent manufacturing, industrial automation, and the industrial internet—in vocational colleges. Leveraging a meticulously structured small-class teaching model, the training adopts… “Theoretical Explanations + Hands-on Practice + Case Studies + Comprehensive Assessment” An integrated teaching system has been developed to create high-quality courses that align with the cutting edge of industrial sectors and are tailored to vocational education settings, thereby effectively helping vocational educators update their knowledge frameworks and enhance their digital, hands-on teaching skills.

This course is scientifically structured into distinct levels and progresses step by step, covering everything from foundational technologies to cutting-edge AI applications, and moving from learning individual modules to hands-on integration of multiple technologies—delivering a comprehensive, practical learning experience at every stage. In the initial phase of the training, the Chengfei Intelligent engineering team started with fundamental technologies and guided participants in mastering Siemens NX MCD digital twin technology. They provided detailed instruction on core topics such as software operation, electromechanical object modeling, sensor configuration, and motion control. Through hands-on electromechanical integration exercises and comprehensive project simulations, they helped all trainees establish a solid practical foundation in digital twin technology.

With a solid foundation in core technologies, the curriculum has advanced to offer specialized Node-RED IoT low-code programming training. The engineering team guides learners from basic to more complex topics, starting with software installation, fundamental program development, and resource library utilization, and gradually progressing to advanced skills such as industrial PLC data acquisition, cloud‑based communication, database operations and maintenance, and visual dashboard development. This comprehensive approach equips educators with practical expertise in low-code development, industrial data processing, and visualized operations and maintenance, aligning with the demands of modern industrial education.

In the latter phase of the training, the focus shifts to cutting-edge AI technologies in the industry, with an emphasis on specialized hands-on workshops for developing Coze industrial intelligent agents. The engineering team provides a detailed breakdown of the Coze platform’s core functionalities, offering step-by-step instruction on practical tasks such as creating and deploying industrial intelligent agents, building workflows, and integrating plugins. Drawing on real-world industrial scenarios, participants apply these skills to implement concrete use cases, including cloud communications, AI model training, device access control, intelligent data querying, automated equipment control, and fault‑alert notifications. Finally, a comprehensive systems integration exercise ties together the entire curriculum—covering digital twins, PLC programming, low-code data acquisition, and AI agent development—enabling the seamless convergence of OT, CT, and AI technologies. This approach thoroughly hones the participating instructors’ ability to apply advanced technologies and effectively translate them into classroom instruction.

For this training session, Chengfei Intelligence undertook comprehensive planning and coordination while providing full‑scale logistical support. Leveraging the headquarters’ state‑of‑the‑art training facilities and a complete suite of specialized industrial equipment, it delivered end-to-end technical assistance and instructional services, ensuring the program’s high quality, efficiency, and orderly implementation.
 

This specialized training program has precisely addressed the shortcomings of vocational educators in digital and intelligent technologies, effectively overcoming the challenges of upgrading engineering‑focused instruction and injecting fresh momentum into the reform of vocational programs, curriculum updates, and the enhancement of talent development. Looking ahead, Chengfei Intelligence will continue to leverage its core strengths in the industrial digitalization sector, deepen its commitment to the integrated development of industry and education, and steadily build high‑quality vocational training and technology‑exchange platforms. By delivering cutting‑edge, practical industrial digitalization training resources, the company will fully cultivate highly skilled technical talent, contribute to the high‑quality development of vocational education, and empower the digital transformation and upgrading of the manufacturing sector.