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The AI Engineering Skills Map
AI 工程技能图谱：从 1 万条招聘数据提炼的四大核心技能
In this post, Andrew Ng unveils the AI Engineering Skills Map, synthesized from 10,000+ job postings, dozens of expert interviews, and surveys. It identifies four core skills: building and deploying AI applications, software engineering fundamentals, using coding agents, and shaping the build. Because AI systems produce unpredictable outputs, developers must rely on statistical evals and error analysis. Strong software fundamentals help you steer agents effectively, while the rise of agentic coding shifts engineering value from implementation to product sense and tradeoff decisions. A useful guide for developers setting priorities and employers hiring AI-capable engineers.