A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
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🎯 从零基础到 AI Agent 全栈工程师 · 110 个详细教程 · 58 万字 · 400+ GitHub 项目精选 · Obsidian 友好 · 中文
Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.
A structured binary exploitation curriculum covering stack, heap, mitigations, ROP, and automated exploitation.
A comprehensive, structured Python learning roadmap and reference guide. Contains complete, runnable scripts covering basic syntax, intermediate concepts, advanced system-level programming (asyncio, memory, GIL), design patterns, and ecosystem frameworks.
A free zero-to-capstone roadmap for modern C++23, Qt 6, QML, and Qt Quick.
A free bilingual AI engineering roadmap with notes, code examples, and learning resources.
My personal roadmap to learn Android app hacking and document everything I study step-by-step.
A complete Python Full Stack learning repository designed for beginners to advanced developers. Covers Python fundamentals, Django backend development, REST APIs, JWT authentication, React frontend integration, database management, and real-world deployment using Render and cloud platforms. Includes practical projects and hands-on examples.
A free, open-source roadmap to learn AI from zero — 34 lessons from your first line of Python to shipping an LLM app. Read on the web or straight from the Markdown.