learning-roadmap

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.

Open-source Turkish Swift learning roadmap, from language fundamentals to iOS architecture and testing.

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

A free zero-to-capstone roadmap for modern C++23, Qt 6, QML, and Qt Quick.

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 bilingual AI engineering roadmap with notes, code examples, and learning resources.

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.

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 text-first, 12-stage engineering curriculum for AI/ML × Cloud × DevOps × MLOps (12–24 months). Canonical books & official docs only.

🚀 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.

A practical 12-week Agentic AI learning roadmap covering LLM foundations, tool calling, RAG, memory, MCP, multi-agent systems, evaluation, security, and production deployment.

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 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。

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