如何从传统Developer升级为AI Engineer

「28期AI Web全栈班公开课 | 如何从Developer升级为AI Engineer」是匠人学院面向想要在AI时代完成技术升级的同学推出的一场线上直播公开课。本次活动由匠人学院创始人 Lightman Wang 主讲，他将结合真实企业级项目案例，拆解当下企业眼中的“全栈新标准”，帮助你真正理解 AI Engineer 与传统 Web Developer 之间的核心差异 。 许多同学已经学完了前后端全栈课程，掌握了 React、Node.js、MongoDB 等技术，却发现自己依然只能“写网页”，而做不出真正可以上线的 AI 产品。这场公开课将围绕一个真实 AI 项目，从“项目驱动式学习（Project-driven Learning）”出发，带你理解如何从0到1搭建完整 AI 系统，包括：前端（React / Next.js）交互设计、后端（Node.js / Express）服务搭建、AI 模块（OpenAI API / RAG / Prompt）接入，以及在云端（Docker / AWS / CI/CD）完成部署上线 。 通过本次课程，你将清晰看到 AI 集成能力如何成为新一代全栈开发者的必修模块，学习如何在项目中边做边学、自我调试与部署，把一个想法真正变成可用的 AI 产品，而不是停留在 Demo 或课后作业层面。同时，活动还为报名同学提供干货资料、免费 1v1 职业咨询与简历点评机会，以及 AI Web 全栈班（AI Engineering 方向）的专属课程优惠，适合正在学习前端/后端、想升级为 AI 工程师或希望了解真实企业 AI 项目流程的你参加 。 The event “28th AI Web Full Stack Open Class | How to Upgrade from Developer to AI Engineer” is a live online workshop hosted by JR Academy, designed for developers who want to level up from traditional web development to real-world AI engineering. Led by JR Academy founder Lightman Wang, this open class explains why “AI Engineer” is one of the most in-demand technical roles in the next three years and what skills companies actually expect beyond just React and Node.js knowledge. Over the past few years, many students have completed full stack courses and learned technologies such as React, Node.js, and MongoDB. However, when the AI wave truly arrived, they realised they could still only build standard web applications, not real AI-powered products. This workshop is created to bridge exactly that gap – the gap between “being able to use AI” and “being able to build and ship AI systems”. During the session, you will experience project-driven learning instead of the traditional “learn theory first, do a project later” approach. The instructor will start from a real AI project and walk you through the entire journey of building an AI system from scratch. You will see how to design the front end with React / Next.js, build backend services with Node.js / Express, integrate AI modules such as OpenAI API, RAG (Retrieval-Augmented Generation), and Prompt Engineering, and finally deploy everything to the cloud using Docker, AWS, and CI/CD pipelines. The open class also focuses on mindset and engineering practices: learning how to grow “inside a project”, how to debug and deploy by yourself, and how to turn AI features into usable, reliable products instead of one-off demos. It is ideal for current frontend or backend learners, junior developers who want to understand how AI projects are run inside real companies, and anyone who feels lost about where to start in the AI era. Participants who register will gain access to exclusive learning materials, a chance to book free 1-on-1 career consultation and resume review, as well as special discounts for the AI Web Full Stack (AI Engineering) program. If you are serious about moving from “writing code” to “shipping AI products”, this event gives you a clear roadmap and a first-hand look at what modern AI engineering actually looks like from end to end.