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 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.

Interactive developer roadmaps inspired by Islamic pursuit of knowledge 🕌✨

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

🔥 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.

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.

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

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

My personal learning profile and cybersecurity development roadmap.

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