这是资源链接合集，不含可安装的代码或工具；多数链接指向外部课程、视频和书籍，部分需注册或付费；README 未说明任何运行环境或依赖
learn-ai-engineering
ashishps1GPL-3.0更新放缓一份免费的 AI 与 LLM 学习路线合集，把从深度学习基础到 RAG、Agent、提示工程的资料串成体系，适合想系统入门或补课的人按图索骥。
Learn AI and LLMs from scratch using free resources
暂无版本6,225star +25 / 7 天1,476fork同步于 2026-11-10 17:35 UTC
一份免费 AI/ML 与 LLM 学习资源清单，帮你从数学基础一路学到 Agent 开发
一份免费的 AI 与 LLM 学习路线合集，把从深度学习基础到 RAG、Agent、提示工程的资料串成体系，适合想系统入门或补课的人按图索骥。
核心能力
- 按数学、深度学习、LLM、Agent 等主题分层整理学习链接
- 汇总 Transformer、MoE、推理模型等 LLM 原理的图解与文章
- 收录 LangChain、LlamaIndex、Ollama 等 LLM 工具与框架入口
- 提供 RAG、Prompt 工程、MCP、MLOps 的课程与实战仓库
- 附必读经典论文清单，含 Attention Is All You Need 等原文链接
容易踩的坑
内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README
暂无 release 数据（可能没有发版，或尚未同步）。
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Learn AI Engineering
A comprehensive collection of free resources to learn everything about AI/ML, LLMs and Agents.
Mathematical Foundations
- Mathematics Roadmap for Machine Learning
- Essence of Linear Algebra - 3Blue1Brown
- Probability & Statistics - Khan Academy
- Statistics Fundamentals - Josh Strarmer
- Mathematics for Machine Learning Specialization - Coursera (Andrew Ng)
Python
AI & ML Fundamentals
- Machine Learning Crash Course - Google
- AI for Beginners – Microsoft
- Elements of AI – University of Helsinki
- Machine Learning Playlist - Josh Strarmer
- Machine Learning Specialization - Coursera
Machine Learning Frameworks
Deep Learning
- Deep Learning Specialization - Coursera (Andrew Ng)
- Practical Deep Learning for Coders - Fast.ai
- Mathematics for Deep Learning
- Deep Learning Playlist - Josh Starmer
Deep Learning Frameworks
Deep Learning Specializations
Computer Vision
Natural Language Processing (NLP)
Reinforcement Learning
Generative AI
- The Building Blocks of Generative AI
- Generative AI for Beginners - Microsoft
- Generative AI for Everyone - Coursera
Large Language Models (LLMs)
- The Illustrated Transformer
- Large Language Models explained briefly
- Intro to LLMs
- Understanding Large Language Models
- A Visual Guide to Reasoning LLMs
- Understanding Reasoning LLMs
- Understanding Multimodal LLMs
- A Visual Guide to Mixture of Experts (MoE)
- Finetuning Large Language Models
- How Transformer LLMs Work
- Building GPT from scratch - Andrej Karpathy
- LLM Course - GitHub
- LLM Course - Hugging Face
- Awesome LLM Apps - GitHub
LLM Chatbots
Open Source LLMs
LLM APIs
LLM Tools & Frameworks
LLM Based IDEs
Agentic Coding Tools
Prompt Engineering
- Google Prompting Essentials
- ChatGPT Prompt Engineering for Developers - Deeplearning.ai
- Advanced Prompting Techniques - Instructor
- Prompt Engineering Techniques - Github
- Getting Structured LLM Output - Deeplearning.ai
- God Tier Prompts
Retrieval-Augmented Generation (RAG)
AI Agents
- A Visual Guide to LLM Agents
- Agents - Chip Huyen
- AI Agents Course - Hugging Face
- Building AI Browser Agents - Deeplearning.ai
- GenAI Agents - Github
- AI Agents in Action, Second Edition - Book
Model Context Protocol (MCP)
- MCP - Anthropic Guide
- Building AI Apps using MCP
- MCP Course - Hugging Face
- Awesome MCP Servers - Github
MLOps & Deployment
Tools
Guides
Books
- Hands-On Machine Learning
- Deep Learning - Ian Goodfellow
- Deep Learning with Python
- Why Machines Learn
- Designing Machine Learning Systems
- AI Engineering
- Build a LLM from Scratch
- Prompt Engineering for LLMs
- Natural Language Processing with Transformers
- Build a Multi-Agent System (from Scratch)
- Build a Reasoning Model (From Scratch)
- Build an AI Agent (From Scratch)
- Build an LLM Application (from Scratch)
- AI Agents in Action
- AI Agents in Action, Second Edition
- LLMs in Production
YouTube Channels
Other Resources
Must-Read AI Papers
- Attention Is All You Need
- Generative Adversarial Networks (GANs)
- GPT: Improving Language Understanding by Generative Pre-Training
- GPT-3: Language Models are Few-Shot Learners
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Chain-of-Thought Prompting Elicits Reasoning in LLMs
langchain
langchain-ai·Python
用 Python 搭建 LLM 应用和智能体的开发框架，把模型调用、工具、检索和记忆串成可组合的链路，省去自己拼装底层胶水代码。
智能体开发+4RAG 框架
149312+17025klangchain-typesafe==0.0.22026-11-10 16:25 UTC
awesome-llm-apps
Shubhamsaboo·Python
收录 100 多个可直接上手的 AI Agent、Agent Skills 和 RAG 应用示例，帮开发者快速找到能跑起来的 LLM 项目参考。
AI Agent+4RAG 框架
144351+28421k2026-11-10 01:54 UTC
hello-agents
datawhalechina·Python
从零开始手把手教你构建 LLM 智能体的中文教程，覆盖 Agent 原理、RAG 等核心实践，适合入门与动手复现。
智能体教程+4RAG 框架
86618+30911kV1.0.32026-10-13 22:28 UTC
serviette
pathwaycom·Python
一个免代码的 RAG 服务器，能随文档更新自动同步答案，支持 8 种向量数据库，基于 Pathway 构建。
RAG+4RAG 框架
587191.5kv0.1.82026-11-10 16:12 UTC