Issue 10 | Promoting Learning through Training, Promoting Application through Learning - AI Visual Devices The offline training for maintenance engineers has come to a successful conclusion!

In the spring of March, let's embark on a journey of growth together. From March 23rd to 26th, the 10th offline training for AI visual equipment maintenance engineers of KeyeTech kicked off and successfully concluded in the KeyeTech Park. The four-day high-intensity immersive learning helped customers solidify their technical barriers with professional empowerment.

KeyeTech combines past training experience and continuously iterates the training system. This training session has comprehensively optimized the training cycle, teaching mode, and student scale to provide more efficient empowerment solutions and help enterprises quickly build a talent pool for equipment maintenance.

This training adopts a high-quality small class model with algorithms as the main focus and machinery as a supplement, strictly controlling the scale of students and ensuring the depth of teaching. Senior lecturers combine real-life demonstrations, one-on-one Q&A, and flexible adaptation. Supported by the company's continuous iteration of technological strength, algorithm training only takes 2-3 days, significantly reducing the threshold for algorithm operation. Students can start working independently after graduation. The mechanical part focuses on practical scenarios, with concise and stable content that has been verified through practical experience!

The end of the course adopts a dual practical assessment of "algorithm+mechanical" to comprehensively test the learning outcomes. Those who pass the assessment will be awarded a professional skills certificate with authoritative certification from KeyeTech, providing authoritative endorsement for their professional abilities and strong support for the high skilled talent pool of the enterprise.

This training not only strengthens students' specialized skills and solves the problem of "shortage of technical talents and insufficient maintenance capabilities" for customers, but also builds an industry exchange platform to achieve a win-win situation of "empowering science and technology, promoting student growth, and benefiting enterprises".

The original intention remains unchanged, and the empowerment continues.In the future, KeyeTech will continue to optimize its training system to help customers steadily move forward in the field of intelligent vision.