How to integrate GenAI into hands-on tech learning so teams build real skills, not just tool awareness.
Despite the rapid rise of tools like GitHub Copilot and ChatGPT, only about 15% of developers are regularly use GenAI in their workflows. This gap isn’t due to lack of access, it’s due to how learning is structured.
Most training treats GenAI as a side topic or a separate course. But adoption only happens when people use the tools in real, meaningful work. At bILTup, we’ve been integrating GenAI into our hands-on, challenge-based workshops across DevOps, Cloud, and Software Engineering. Here's what we've learned.
People don’t internalize GenAI workflows by watching demos. They learn by applying the tools in real context:
This kind of embedded learning builds fluency and confidence without needing separate “AI training.”
If you're designing a workshop or learning experience, here’s how to fold GenAI into the process:
As with any new tool, the real challenge isn’t access, it’s habit. Embedding GenAI into everyday development workflows means normalizing its use during learning. That means creating space for experimentation, iteration, and even failure. By treating GenAI like a teammate rather than a tutorial, teams are more likely to adopt it in more effective ways.