AI

SK AX Launches AI Agent Training for Non-Developers

AI TIMES ·

[Photo: AI-generated image: SK AX]

✦ AI Summary

According to AI TIMES, SK AX launched an educational program called "AI Bootcamp Vibe" on October 1 to help general employees without coding…

According to AI TIMES, SK AX launched an educational program called "AI Bootcamp Vibe" on October 1 to help general employees without coding knowledge build AI agents themselves and use them in their work. The course is structured as a 4-week hands-on program and focuses on designing and implementing agents that can be applied immediately based on each trainee's own tasks. A key feature is that generative AI creates code when functions are described in natural language, making it usable outside development teams. The program is designed to reduce corporate operational burdens by running the entire education and evaluation process on AI, while also providing support tailored to each learner's level of understanding. After completing the course, participants will be able to independently create tools needed in real work settings and, if necessary, connect them with services that integrate with internal systems. Through this, SK AX aims to strengthen an educational ecosystem that expands AI use from select teams to the entire company.

Perspective

The significance of this program lies in its attempt to shift the center of gravity of AI adoption from specialized teams to frontline employees. The fact that it is designed not to stop at the end of training, but to have each person directly solve work-related problems, shows that corporate AI use is moving beyond pilot projects and into a phase that changes the way people work. In the end, the difference in competitiveness is likely to come less from having the technology itself than from how evenly the entire organization can use and spread it.

This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.

This article was produced with the help of an automated content generation algorithm.


Source: AI TIMES

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