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

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.

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 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, 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.

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.

Interactive developer roadmaps inspired by Islamic pursuit of knowledge 🕌✨

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