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。

🎯 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 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.

My personal roadmap to learn Android app hacking and document everything I study step-by-step.

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.

🚀 A free, complete DevOps course — 16 stages of full written lessons from beginner to advanced: Linux, CI/CD, Docker, Kubernetes, Terraform, cloud, SRE. Read on the site or in ROADMAP.md.

A curated personal knowledge repository containing core theory, coding patterns, interview preparation, academic research highlights, and learning roadmaps for modern AI and Data Science.

Interactive developer roadmaps inspired by Islamic pursuit of knowledge 🕌✨

🔥 Linux C/C++ Backend Learning Path: MySQL, Redis, OS, Network, 29 Projects, Interview Questions | Full Roadmap for Backend Engineers

Learning roadmap for AI/ML Engineer roles: 7 phases, study schedules, 100+ resources, progress tracking, interview prep. From math to LLMs, RAG, MLOps, and deployment.

A curated list of my favorite C# libraries, tools, and learning resources.

A stage-by-stage AI/ML engineering learning roadmap — from CS foundations to production AI systems.

根据简历研究最新 AI 与泛 AI 职业机会，并生成个性化学习路线。

A research-oriented roadmap for learning artificial intelligence, grounded in foundational concepts and modern AI systems.

Structured AI/ML career roadmap with 4 role-based paths. Interactive web app with phases, topics, clickable learning links, and progress tracking. Covers math, ML, deep learning, LLMs, RAG, MLOps, and Big Data.

Learning deep learning in the open — hands-on roadmaps and code across transformers, attention, MoE, RAG, agents, and more.

Step-by-step JavaScript learning roadmap covering fundamentals, core concepts, and practical exercises to help beginners build a strong foundation in web development