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 curated collection of three cybersecurity learning roadmaps covering web penetration testing, ethical hacking, and foundational security skills. Each roadmap breaks learning into clear stages, tools, labs, and resources, helping beginners progress step-by-step from basics to hands-on offensive security practice.

A free, no-paywall cybersecurity self-study library covering foundations, pentesting, web security, exploit development, malware analysis, cryptography, defense, and programming. Books are organized by domain and difficulty with a guided learning path so beginners can progress to advanced security skills independently.

A structured binary exploitation curriculum covering stack, heap, mitigations, ROP, and automated exploitation.

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.

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

Interactive developer roadmaps inspired by Islamic pursuit of knowledge 🕌✨

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

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.

My learning roadmap for Python, Git, Web, AI, German, and preparation for an IT Ausbildung in Germany.

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 practical 100-day artificial intelligence learning challenge with daily hands-on tasks.

Structured AI learning roadmap covering Python, RAG, Agentic AI, MCP and Financial Crime transformation capabilities.