A broader path into applied AI work, beyond just GenAI.
5 min read · Skill IT Education
Most AI engineering work involves calling and integrating existing models via APIs — not training models from scratch, which is a different, more specialized skill set.
Connecting AI capability into real workflows — triggered by events, integrated with existing systems — is often more valuable in practice than raw model capability alone.
From this foundation, you can move toward GenAI/LLM specialization, MLOps, or general AI product development depending on what genuinely interests you.
This article is the short version. The full program covers it hands-on, in labs, with a mentor reviewing your work.
See AI Engineering Foundations