Andrew Ng: "AI Engineering Skills Map: Building and Deploying AI Applications"
Andrew Ng outlines the essential skills required for building and deploying AI applications, emphasizing the iterative nature of AI development. He highlights the importance of understanding LLM foundations and grounding models with data to manage the inherent unpredictability of AI systems.
Why it matters
As AI integration grows, defining standardized engineering practices is critical for creating reliable and scalable software.
@AndrewYNg The most important skills in Building and Deploying AI Applications. AI Engineering Skills Map: Building and Deploying AI Applications I previously wrote about our AI Engineering Skills Map, with the highest level skills being (i) Building and deploying AI applications, (ii) Software engineering fundamentals, (iii) Using coding agents, and (iv) Shaping the build. In this article, I will flesh out the first of them.
Being skilled at building and deploying AI applications means knowing:
This map of skills was formed by analyzing a large number of job postings, structured expert interviews, and survey responses.
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