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resources:
# ── Python & 数学基础 ──────────────────────────────────────────────────────
- id: r001
title: "Python for Everybody (Dr. Chuck)"
url: "https://www.py4e.com"
type: course
topics: [python, fundamentals]
domain: [general]
level: beginner
duration_hours: 20
description: "零基础入门Python,交互式练习"
language: en
free: true
focus: foundational
priority: supplementary
- id: r002
title: "Python 官方教程(中文版)"
url: "https://docs.python.org/zh-cn/3/tutorial/"
type: article
topics: [python, fundamentals]
domain: [general]
level: beginner
duration_hours: 8
description: "官方文档,最权威的Python入门"
language: zh
free: true
focus: foundational
priority: supplementary
- id: r003
title: "3Blue1Brown:线性代数的本质"
url: "https://www.bilibili.com/video/BV1ys411472E"
type: video
topics: [math, linear-algebra]
domain: [general]
level: beginner
duration_hours: 5
description: "可视化理解线性代数,ML必备数学基础"
language: zh
free: true
focus: foundational
priority: supplementary
- id: r004
title: "Khan Academy 微积分"
url: "https://zh.khanacademy.org/math/calculus-1"
type: course
topics: [math, calculus]
domain: [general]
level: beginner
duration_hours: 15
description: "梯度下降的数学基础"
language: zh
free: true
focus: foundational
priority: supplementary
# ── ML 基础 ───────────────────────────────────────────────────────────────
- id: r005
title: "吴恩达 Machine Learning Specialization"
url: "https://www.coursera.org/specializations/machine-learning-introduction"
type: course
topics: [machine-learning, fundamentals]
domain: [data-science]
level: beginner
duration_hours: 60
description: "全球最受欢迎的ML入门课,可免费旁听"
language: en
free: true
focus: foundational
priority: supplementary
- id: r006
title: "sklearn 官方教程"
url: "https://scikit-learn.org/stable/tutorial/index.html"
type: article
topics: [machine-learning, sklearn]
domain: [data-science]
level: beginner-to-intermediate
duration_hours: 10
description: "动手跑ML模型,sklearn是ML工程必备"
language: en
free: true
focus: foundational
priority: supplementary
- id: r007
title: "StatQuest:机器学习可视化讲解(B站)"
url: "https://space.bilibili.com/528127428"
type: video
topics: [machine-learning, statistics]
domain: [data-science]
level: beginner
duration_hours: 20
description: "用极简可视化讲清楚每个ML算法原理"
language: en
free: true
focus: foundational
priority: supplementary
# ── 深度学习 ──────────────────────────────────────────────────────────────
- id: r008
title: "fast.ai:实用深度学习"
url: "https://course.fast.ai"
type: course
topics: [deep-learning, vision, nlp]
domain: [data-science]
level: intermediate
duration_hours: 40
description: "自顶向下,以实战驱动,最实用的深度学习课"
language: en
free: true
focus: both
- id: r009
title: "Andrej Karpathy:Neural Networks: Zero to Hero"
url: "https://karpathy.ai/zero-to-hero.html"
type: course
topics: [deep-learning, llm, from-scratch]
domain: [data-science, llm-app]
level: intermediate
duration_hours: 25
description: "从零手写GPT,理解LLM底层原理的最佳资源"
language: en
free: true
focus: both
- id: r010
title: "动手学深度学习(d2l.ai 中文版)"
url: "https://zh.d2l.ai"
type: book
topics: [deep-learning, nlp, vision, pytorch, cnn, rnn, transformers]
domain: [data-science]
level: intermediate
duration_hours: 80
description: "李沐等著,面向中文读者的权威深度学习教材,配套代码与B站视频,从零基础到CV/NLP实战"
language: zh
free: true
focus: both
- id: r011
title: "李沐论文精读系列"
url: "https://space.bilibili.com/1567748478/channel/collectiondetail?sid=32744"
type: video
topics: [deep-learning, research, paper-reading, transformers, vision, nlp]
domain: [research, data-science]
level: intermediate-to-advanced
duration_hours: 40
description: "李沐逐篇精读ResNet/Transformer/BERT等经典论文,中文深度讲解,科研/工程必看"
language: zh
free: true
focus: both
verified_date: "2026-04-06"
# ── NLP & Transformers ────────────────────────────────────────────────────
- id: r012
title: "HuggingFace NLP Course"
url: "https://huggingface.co/learn/nlp-course"
type: course
topics: [nlp, transformers, huggingface]
domain: [llm-app]
level: intermediate
duration_hours: 20
description: "官方Transformers教程,理论+实战,必学"
language: en
free: true
focus: both
- id: r013
title: "The Illustrated Transformer"
url: "https://jalammar.github.io/illustrated-transformer/"
type: article
topics: [transformers, attention, nlp]
domain: [llm-app]
level: intermediate
duration_hours: 2
description: "最好的Transformer可视化解释,必读"
language: en
free: true
focus: both
- id: r014
title: "Stanford CS224n:NLP with Deep Learning"
url: "https://web.stanford.edu/class/cs224n/"
type: course
topics: [nlp, deep-learning, research]
domain: [research]
level: advanced
duration_hours: 50
description: "斯坦福NLP旗舰课,讲义+视频全公开"
language: en
free: true
focus: both
# ── LLM 应用 ──────────────────────────────────────────────────────────────
- id: r015
title: "吴恩达 Prompt Engineering for Developers"
url: "https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/"
type: course
topics: [llm, prompt-engineering]
domain: [llm-app]
level: beginner-to-intermediate
duration_hours: 3
description: "1小时速成Prompt Engineering,LLM应用起点"
language: en
free: true
focus: both
- id: r016
title: "LangChain 官方文档"
url: "https://python.langchain.com/docs/introduction/"
type: article
topics: [llm, langchain, rag]
domain: [llm-app, ai-agent]
level: intermediate
duration_hours: 15
description: "LLM应用开发框架,RAG/Agent必备"
language: en
free: true
focus: both
- id: r017
title: "吴恩达 Building Systems with the ChatGPT API"
url: "https://www.deeplearning.ai/short-courses/building-systems-with-chatgpt/"
type: course
topics: [llm, system-design]
domain: [llm-app]
level: intermediate
duration_hours: 3
description: "用LLM构建完整系统,从单prompt到pipeline"
language: en
free: true
focus: both
- id: r018
title: "吴恩达 LangChain for LLM Application Development"
url: "https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/"
type: course
topics: [llm, langchain]
domain: [llm-app]
level: intermediate
duration_hours: 3
description: "LangChain官方合作课,快速上手"
language: en
free: true
focus: both
# ── RAG ───────────────────────────────────────────────────────────────────
- id: r019
title: "吴恩达 Building and Evaluating Advanced RAG"
url: "https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag/"
type: course
topics: [rag, llm, vector-db]
domain: [llm-app, ai-agent]
level: intermediate
duration_hours: 3
description: "RAG进阶:评估、优化、高级检索策略"
language: en
free: true
focus: both
- id: r020
title: "LlamaIndex 官方文档"
url: "https://docs.llamaindex.ai/en/stable/"
type: article
topics: [rag, llm, llamaindex]
domain: [llm-app, ai-agent]
level: intermediate
duration_hours: 10
description: "RAG专门框架,比LangChain更专注于索引检索"
language: en
free: true
focus: both
- id: r021
title: "Pinecone:向量数据库学习中心"
url: "https://www.pinecone.io/learn/"
type: article
topics: [rag, vector-db, embeddings]
domain: [llm-app]
level: intermediate
duration_hours: 8
description: "向量检索原理与实践,RAG基础设施"
language: en
free: true
focus: both
- id: r022
title: "RAG from Scratch(LangChain官方系列)"
url: "https://github.com/langchain-ai/rag-from-scratch"
type: repo
topics: [rag, langchain, from-scratch]
domain: [llm-app, ai-agent]
level: intermediate
duration_hours: 10
description: "从零实现RAG的完整代码仓库,附视频"
language: en
free: true
focus: applied
# ── Agent ─────────────────────────────────────────────────────────────────
- id: r023
title: "吴恩达 AI Agents in LangGraph"
url: "https://www.deeplearning.ai/short-courses/ai-agents-in-langgraph/"
type: course
topics: [agent, langgraph, llm]
domain: [ai-agent]
level: intermediate-to-advanced
duration_hours: 4
description: "用LangGraph构建可靠的AI Agent"
language: en
free: true
focus: both
- id: r024
title: "HuggingFace Agents Course"
url: "https://huggingface.co/learn/agents-course"
type: course
topics: [agent, llm, tools]
domain: [ai-agent]
level: intermediate
duration_hours: 15
description: "HuggingFace官方Agent课程,含smolagents框架"
language: en
free: true
focus: applied
# ── 微调 Fine-tuning ──────────────────────────────────────────────────────
- id: r025
title: "吴恩达 Finetuning Large Language Models"
url: "https://www.deeplearning.ai/short-courses/finetuning-large-language-models/"
type: course
topics: [fine-tuning, llm]
domain: [llm-app]
level: intermediate-to-advanced
duration_hours: 3
description: "LLM微调原理与实践"
language: en
free: true
focus: both
- id: r026
title: "HuggingFace PEFT 文档"
url: "https://huggingface.co/docs/peft"
type: article
topics: [fine-tuning, lora, peft]
domain: [llm-app]
level: advanced
duration_hours: 8
description: "LoRA/QLoRA等参数高效微调的官方指南"
language: en
free: true
focus: both
- id: r027
title: "Unsloth:快速LLM微调教程"
url: "https://github.com/unslothai/unsloth"
type: repo
topics: [fine-tuning, lora, efficiency]
domain: [llm-app]
level: intermediate
duration_hours: 5
description: "2x速度、70%内存的开源微调框架,Colab可直接运行"
language: en
free: true
focus: applied
# ── 模型部署 ─────────────────────────────────────────────────────────────
- id: r028
title: "FastAPI 官方教程"
url: "https://fastapi.tiangolo.com/zh/"
type: article
topics: [deployment, api, fastapi]
domain: [mlops]
level: intermediate
duration_hours: 10
description: "Python最快的API框架,模型服务化标配"
language: zh
free: true
focus: applied
- id: r029
title: "Docker 官方入门教程"
url: "https://docs.docker.com/get-started/"
type: article
topics: [deployment, docker, mlops]
domain: [mlops]
level: intermediate
duration_hours: 6
description: "容器化部署,让模型到处能跑"
language: en
free: true
focus: applied
- id: r030
title: "Streamlit 官方文档"
url: "https://docs.streamlit.io"
type: article
topics: [deployment, streamlit, demo]
domain: [mlops]
level: beginner
duration_hours: 4
description: "最快速构建ML演示应用,从想法到Demo只需1小时"
language: en
free: true
focus: applied
# ── 实战项目 ──────────────────────────────────────────────────────────────
- id: r031
title: "Build a Large Language Model From Scratch(书)"
url: "https://github.com/rasbt/LLMs-from-scratch"
type: book
topics: [llm, from-scratch, deep-learning]
domain: [llm-app, research]
level: intermediate-to-advanced
duration_hours: 40
description: "Sebastian Raschka著,从零实现GPT,代码全开源"
language: en
free: true
focus: both
- id: r032
title: "Full Stack LLM Bootcamp"
url: "https://fullstackdeeplearning.com/llm-bootcamp/"
type: course
topics: [llm, full-stack, deployment]
domain: [llm-app]
level: intermediate
duration_hours: 20
description: "工程师视角的LLM全栈开发,从prompt到生产"
language: en
free: true
focus: applied
- id: r033
title: "Weights & Biases MLOps Course"
url: "https://www.wandb.courses/courses/mlops-zoomcamp"
type: course
topics: [mlops, experiment-tracking, deployment]
domain: [mlops]
level: intermediate
duration_hours: 20
description: "MLOps实践,实验追踪+模型管理+监控"
language: en
free: true
focus: applied
- id: r034
title: "Kaggle Learn"
url: "https://www.kaggle.com/learn"
type: course
topics: [machine-learning, deep-learning, nlp, practice]
domain: [data-science]
level: beginner-to-intermediate
duration_hours: 25
description: "Kaggle官方微课,每门1-3小时,边学边做"
language: en
free: true
focus: both
priority: supplementary
# ── 中文资源 ──────────────────────────────────────────────────────────────
- id: r035
title: "智谱AI大模型技术课(B站)"
url: "https://space.bilibili.com/1920972958"
type: video
topics: [llm, chinese, fine-tuning]
domain: [llm-app]
level: intermediate
duration_hours: 15
description: "国内LLM技术课,涵盖GLM系列模型使用与微调"
language: zh
free: true
focus: both
- id: r036
title: "魔搭社区(ModelScope)教程"
url: "https://modelscope.cn/docs"
type: article
topics: [llm, chinese, fine-tuning, deployment]
domain: [llm-app]
level: intermediate
duration_hours: 10
description: "阿里达摩院开源社区,国内模型首发地,含实战教程"
language: zh
free: true
focus: both
- id: r037
title: "吃瓜教程:机器学习白板推导"
url: "https://space.bilibili.com/327617676"
type: video
topics: [machine-learning, math, theory]
domain: [data-science, research]
level: intermediate
duration_hours: 30
description: "用数学公式推导ML算法,适合想深入理论的同学"
language: zh
free: true
focus: both
priority: supplementary
- id: r038
title: "HuggingFace Diffusion Models Course"
url: "https://huggingface.co/learn/diffusion-course"
type: course
topics: [diffusion, image-generation, stable-diffusion]
domain: [aigc]
level: intermediate
duration_hours: 15
description: "扩散模型官方课程,图像生成方向必学"
language: en
free: true
focus: both
- id: r039
title: "Andrej Karpathy:Intro to Large Language Models(讲座)"
url: "https://www.youtube.com/watch?v=zjkBMFhNj_g"
type: video
topics: [llm, overview, intuition]
domain: [llm-app]
level: beginner
duration_hours: 1
description: "1小时直觉理解LLM,最好的LLM科普"
language: en
free: true
focus: both
- id: r040
title: "吴恩达 MLOps Specialization"
url: "https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops"
type: course
topics: [mlops, deployment, monitoring]
domain: [mlops]
level: intermediate-to-advanced
duration_hours: 40
description: "ML系统工程化全流程,从实验到生产"
language: en
free: true
focus: applied
# ── 软件测试 × AI ──────────────────────────────────────────────────────────
- id: r041
title: "pytest 官方文档"
url: "https://docs.pytest.org/en/stable/"
type: article
topics: [testing, pytest, python]
domain: [software-testing]
level: beginner
duration_hours: 8
description: "Python最主流测试框架,自动化测试人员必学基础"
language: en
free: true
focus: applied
- id: r042
title: "Playwright for Python 官方文档"
url: "https://playwright.dev/python/"
type: article
topics: [testing, playwright, browser-automation, python]
domain: [software-testing]
level: beginner-to-intermediate
duration_hours: 10
description: "微软出品的现代Web自动化测试框架,支持录制回放和AI辅助"
language: en
free: true
focus: applied
- id: r043
title: "Selenium with Python 官方文档"
url: "https://selenium-python.readthedocs.io/"
type: article
topics: [testing, selenium, browser-automation, python]
domain: [software-testing]
level: beginner
duration_hours: 8
description: "Web自动化测试经典框架,招聘需求覆盖率最高"
language: en
free: true
focus: applied
- id: r044
title: "DeepEval:LLM 应用测试框架"
url: "https://docs.confident-ai.com/"
type: article
topics: [testing, llm-evaluation, rag-evaluation, ai-testing]
domain: [software-testing, ai-agent]
level: intermediate
duration_hours: 8
description: "专为LLM应用设计的测评框架,含RAG评估、幻觉检测、pytest集成"
language: en
free: true
focus: applied
- id: r045
title: "promptfoo:LLM 测试与多模型对比"
url: "https://promptfoo.dev/docs/intro/"
type: article
topics: [testing, llm-evaluation, prompt-testing]
domain: [software-testing, ai-agent]
level: intermediate
duration_hours: 5
description: "开源LLM测试工具,支持多模型并行对比和提示词回归测试"
language: en
free: true
focus: applied
- id: r046
title: "Ragas:RAG 系统评估框架"
url: "https://docs.ragas.io/en/stable/"
type: article
topics: [testing, rag-evaluation, llm-evaluation]
domain: [software-testing, ai-agent]
level: intermediate
duration_hours: 5
description: "RAG专用评测框架,覆盖忠实度/答案相关性/上下文召回率等核心指标"
language: en
free: true
focus: applied
- id: r047
title: "Hamel Husain:如何构建LLM评估系统"
url: "https://hamel.dev/blog/posts/evals/"
type: article
topics: [testing, llm-evaluation, ai-testing, best-practices]
domain: [software-testing, ai-agent]
level: intermediate
duration_hours: 4
description: "业内最实用的LLM评估教程,系统讲透如何为实际项目设计evals"
language: en
free: true
focus: applied
- id: r048
title: "吴恩达 Automated Testing for LLMOps"
url: "https://www.deeplearning.ai/short-courses/automated-testing-llmops/"
type: course
topics: [testing, llm-evaluation, llmops, ci-cd]
domain: [software-testing, ai-agent]
level: intermediate
duration_hours: 3
description: "LLM应用自动化测试流水线,集成CI/CD的工程化实践"
language: en
free: true
focus: applied
- id: r049
title: "Giskard:AI 模型质量检测平台"
url: "https://docs.giskard.ai/en/stable/"
type: article
topics: [testing, ai-safety, bias-detection, llm-evaluation]
domain: [software-testing]
level: intermediate
duration_hours: 6
description: "自动扫描LLM应用的偏见、注入攻击、幻觉等问题,支持CI/CD"
language: en
free: true
focus: both
- id: r050
title: "ISTQB 人工智能测试大纲(官方)"
url: "https://www.istqb.org/certifications/artificial-intelligence-tester"
type: article
topics: [testing, ai-testing, certification]
domain: [software-testing]
level: intermediate
duration_hours: 10
description: "ISTQB官方AI测试认证大纲,软件测试工程师向AI方向转型的权威指引"
language: en
free: true
focus: applied
# ── AI Agent 进阶 ─────────────────────────────────────────────────────────
- id: r051
title: "AutoGen 官方文档"
url: "https://microsoft.github.io/autogen/"
type: article
topics: [agent, autogen, multi-agent]
domain: [ai-agent]
level: intermediate
duration_hours: 12
description: "微软多智能体框架,构建可对话协作的Agent系统"
language: en
free: true
focus: both
- id: r052
title: "CrewAI 官方文档"
url: "https://docs.crewai.com/"
type: article
topics: [agent, crewai, multi-agent, role-playing]
domain: [ai-agent]
level: intermediate
duration_hours: 8
description: "角色扮演型多Agent框架,适合构建任务驱动的Agent团队"
language: en
free: true
focus: both
- id: r053
title: "Anthropic:构建高效Agent的实践指南"
url: "https://www.anthropic.com/research/building-effective-agents"
type: article
topics: [agent, best-practices, patterns, system-design]
domain: [ai-agent]
level: intermediate-to-advanced
duration_hours: 3
description: "Anthropic官方实践报告,定义Agent架构的五大核心模式(必读)"
language: en
free: true
focus: both
- id: r054
title: "Model Context Protocol (MCP) 官方文档"
url: "https://modelcontextprotocol.io/introduction"
type: article
topics: [agent, mcp, tool-use, integration]
domain: [ai-agent]
level: intermediate
duration_hours: 8
description: "Anthropic制定的AI工具标准协议,统一Agent与外部系统的集成接口"
language: en
free: true
focus: applied
- id: r055
title: "LangGraph 官方教程"
url: "https://langchain-ai.github.io/langgraph/tutorials/introduction/"
type: article
topics: [agent, langgraph, state-machine, workflow]
domain: [ai-agent]
level: intermediate-to-advanced
duration_hours: 12
description: "基于状态机的Agent框架,适合构建复杂可控的多步骤Agent工作流"
language: en
free: true
focus: both
- id: r056
title: "吴恩达 AI Agentic Design Patterns with AutoGen"
url: "https://www.deeplearning.ai/short-courses/ai-agentic-design-patterns-with-autogen/"
type: course
topics: [agent, design-patterns, autogen]
domain: [ai-agent]
level: intermediate
duration_hours: 4
description: "Agent四大设计模式:反思、工具调用、规划、多Agent协作,AutoGen实战"
language: en
free: true
focus: both
- id: r057
title: "Function Calling 与 Tool Use 完整指南(OpenAI)"
url: "https://platform.openai.com/docs/guides/function-calling"
type: article
topics: [agent, function-calling, tool-use, openai]
domain: [ai-agent]
level: intermediate
duration_hours: 4
description: "LLM工具调用的底层机制,所有Agent框架的核心能力基础"
language: en
free: true
focus: applied
- id: r058
title: "MemGPT / Letta:长期记忆Agent框架"
url: "https://github.com/cpacker/MemGPT"
type: repo
topics: [agent, memory, long-context, persistence]
domain: [ai-agent]
level: advanced
duration_hours: 8
description: "解决Agent跨会话记忆管理问题,实现真正的持久化长期记忆"
language: en
free: true
focus: applied
- id: r059
title: "吴恩达 Multi AI Agent Systems with crewAI"
url: "https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/"
type: course
topics: [agent, crewai, multi-agent, orchestration]
domain: [ai-agent]
level: intermediate
duration_hours: 4
description: "用CrewAI构建多Agent协作系统,项目驱动教学"
language: en
free: true
focus: both
- id: r060
title: "AgentBench:智能体能力评测基准"
url: "https://github.com/THUDM/AgentBench"
type: repo
topics: [agent, evaluation, benchmark, research]
domain: [ai-agent, software-testing]
level: advanced
duration_hours: 5
description: "清华大学发布的Agent系统评测基准,8类真实任务场景全面检验Agent能力"
language: en
free: true
focus: applied
- id: r061
title: "动手学深度学习(中文版)"
url: "https://zh.d2l.ai/"
type: book
topics: [deep-learning, pytorch, cnn, rnn, transformers]
domain: [data-science]
level: intermediate
duration_hours: 80
description: "李沐等著,面向中文读者的权威深度学习教材,配套代码与B站视频,从零基础到CV/NLP实战"
language: zh
free: true
focus: both
deprecated: true # 与 r010 URL 重复(zh.d2l.ai),内容已合并到 r010
- id: r062
title: "跟李沐学AI:精读经典论文(B站)"
url: "https://space.bilibili.com/1567748478/channel/collectiondetail?sid=32744"
type: video
topics: [research, transformers, vision, nlp]
domain: [research, data-science]
level: intermediate
duration_hours: 40
description: "李沐逐篇精读ResNet/Transformer/BERT等经典论文,中文深度讲解,科研/工程必看"
language: zh
free: true
focus: both
deprecated: true # 与 r011 URL 重复,内容已合并到 r011
- id: r063
title: "LLM 实战手册(DataWhale llm-cookbook)"
url: "https://github.com/datawhalechina/llm-cookbook"
type: repo
topics: [llm, rag, fine-tuning, langchain]
domain: [llm-app, ai-agent]
level: beginner-to-intermediate
duration_hours: 20
description: "DataWhale出品,面向国内开发者的LLM应用开发中文教程,覆盖RAG/微调/Agent全流程"
language: zh
free: true
focus: applied
- id: r064
title: "书生浦语大模型实战营(InternLM)"
url: "https://github.com/InternLM/Tutorial"
type: course
topics: [llm, fine-tuning, rag, agent, deployment]
domain: [llm-app, ai-agent]
level: intermediate
duration_hours: 30
description: "上海AI实验室开源大模型实战课,涵盖InternLM微调/部署/RAG/Agent完整链路"
language: zh
free: true
focus: applied
- id: r065
title: "Prompt Engineering 指南(中文版)"
url: "https://www.promptingguide.ai/zh"
type: article
topics: [prompting, llm, in-context-learning, chain-of-thought]
domain: [llm-app]
level: beginner
duration_hours: 6
description: "DAIR.AI出品,系统讲解Prompt工程技巧,中文翻译,覆盖CoT/Few-Shot/ReAct等核心方法"
language: zh
free: true
focus: both
- id: r066
title: "HuggingFace NLP 课程(中文)"
url: "https://huggingface.co/learn/nlp-course/zh-CN/chapter1/1"
type: course
topics: [transformers, fine-tuning, nlp, huggingface]
domain: [llm-app]
level: intermediate
duration_hours: 25
description: "HuggingFace官方NLP课程中文版,从Tokenizer到Fine-tuning再到模型分享完整流程"
language: zh
free: true
focus: both
- id: r067
title: "南瓜书:西瓜书公式推导详解"
url: "https://datawhalechina.github.io/pumpkin-book/"
type: book
topics: [machine-learning, mathematics, theory]
domain: [data-science, research]
level: intermediate-to-advanced
duration_hours: 30
description: "配套周志华《机器学习》的数学推导详解,DataWhale出品,夯实ML理论基础必备"
language: zh
free: true
focus: both
priority: supplementary
- id: r068
title: "Qwen-Agent 开发框架与实战示例"
url: "https://github.com/QwenLM/Qwen-Agent"
type: repo
topics: [agent, llm, tool-use, rag]
domain: [ai-agent, llm-app]
level: intermediate
duration_hours: 15
description: "阿里通义千问官方Agent开发框架,中文文档,工具调用/RAG/代码解释器完整示例"
language: zh
free: true
focus: applied
- id: r069
title: "MiniMind:从零实现中文小语言模型"
url: "https://github.com/jingyaogong/minimind"
type: repo
topics: [llm, pretraining, sft, rlhf, pytorch]
domain: [research, llm-app]
level: advanced
duration_hours: 20
description: "从零构建中文小语言模型,涵盖预训练/SFT/RLHF全流程,代码极简适合深入理解LLM原理"
language: zh
free: true
focus: both
- id: r070
title: "Self-LLM:开源大模型部署实战(DataWhale)"
url: "https://github.com/datawhalechina/self-llm"
type: repo
topics: [llm, deployment, quantization, inference]
domain: [mlops, llm-app]
level: intermediate
duration_hours: 18
description: "DataWhale出品,主流开源大模型(Llama/Qwen/ChatGLM等)本地部署与调用中文实战教程"
language: zh
free: true
focus: applied
- id: r071
title: "OpenAI Cookbook:可运行的LLM实战配方"
url: "https://github.com/openai/openai-cookbook"
type: repo
topics: [llm, rag, fine-tuning, embedding, function-calling]
domain: [llm-app, ai-agent]
level: beginner-to-intermediate
duration_hours: 20
description: "OpenAI官方实战案例库,涵盖RAG/嵌入/函数调用/微调,每个示例均可直接运行,软件工程师入门LLM应用的最佳实验场"
language: en
free: true
focus: applied
- id: r072
title: "面向开发者的LLM入门(吴恩达×OpenAI中文版)"
url: "https://github.com/datawhalechina/prompt-engineering-for-developers"
type: repo
topics: [prompting, llm, rag, fine-tuning]
domain: [llm-app]
level: beginner
duration_hours: 10
description: "DataWhale将吴恩达×OpenAI系列课翻译为中文Jupyter Notebook,边读边跑,从Prompt工程到RAG/Fine-tuning完整覆盖"
language: zh
free: true
focus: applied
- id: r073
title: "awesome-llm-apps:开箱即跑的LLM应用合集"
url: "https://github.com/Shubhamsaboo/awesome-llm-apps"
type: repo
topics: [llm, rag, agent, tool-use, multimodal]
domain: [llm-app, ai-agent]
level: intermediate
duration_hours: 15
description: "100+ 可直接运行的LLM应用示例(RAG、Agent、多模态),配套代码和教程,软件工程师动手学习LLM的项目素材库"
language: en
free: true
focus: applied
- id: r074
title: "30天Python AI工程师实战挑战(GenAI Cohort)"
url: "https://github.com/krishnaik06/30-Days-Gen-AI-Study-Plan"
type: repo
topics: [llm, rag, agent, langchain, deployment]
domain: [llm-app, ai-agent]
level: intermediate
duration_hours: 30
description: "30天结构化学习计划,每天一个可运行项目,从Prompt到RAG到Agent部署,有Python基础的工程师快速入门GenAI工程"
language: en
free: true
focus: applied
- id: r075
title: "AI辅助软件测试实战:Playwright MCP Server"
url: "https://github.com/microsoft/playwright-mcp"
type: repo
topics: [testing, ai-agent, automation, browser, mcp]
domain: [software-testing, ai-agent]
level: intermediate
duration_hours: 8
description: "微软官方 Playwright MCP Server,让AI Agent直接控制浏览器执行E2E测试,测试工程师接入AI能力的最短路径"
language: en
free: true