📄 中文摘要
人工智能工程正在迅速成为一种核心工程学科，而非实验性领域。预计到 2026 年，最具影响力的系统将是由大型语言模型（LLMs）、检索管道、智能体、可观察性和安全控制组成的网络，而非单一模型。企业高管已经将生成性 AI 视为战略基础设施，企业领导者的采用率在不到一年的时间内从 55% 上升至 75%。这一趋势表明，AI 工程的学习和应用正在加速，推动着行业的变革与创新。
从开发者到人工智能工程师：深入了解 Datacamp 与 Langchain 的 AI 工程学习路径
📄 English Summary
From Dev To Ai Engineer Inside The Datacamp X Langchain Ai Engineering Learning Track
AI engineering is rapidly emerging as a core engineering discipline rather than an experimental field. By 2026, the most impactful systems will consist of orchestrated networks of large language models (LLMs), retrieval pipelines, agents, observability, and security controls, rather than single models. Executives are already viewing generative AI as strategic infrastructure, with adoption among business leaders rising from 55% to 75% in less than a year. This trend indicates that the learning and application of AI engineering are accelerating, driving transformation and innovation across industries.