4 AI development skills you need, according to Andrew Ng - and what experts say he's missing
The rise of generative and agentic AI has dramatically changed the software-building process - and the skills required.
Andrew Ng, a prominent figure in AI development, recently outlined four crucial skill areas for those pursuing careers in AI development. These include building and deploying AI applications, understanding software engineering fundamentals, using coding agents, and shaping the build. However, industry experts argue that Ng's list falls short of covering the broader skill set required in the AI landscape.
Written by urgent.news from ZDNet's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.