AI-Engineer-Headquarters

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一套面向 AI 工程师的学习路线与实战资料,覆盖数据结构、深度学习、LangChain/LangGraph 智能体、LLM 推理与评测等主题,帮你系统补齐从算法到落地的知识。

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

暂无版本3,779star703fork同步于 2026-11-10 23:40 UTC

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一份面向想进入 AI 领域前 1% 的学习路线图,用视频加笔记的方式系统学习 AI 工程

一套面向 AI 工程师的学习路线与实战资料,覆盖数据结构、深度学习、LangChain/LangGraph 智能体、LLM 推理与评测等主题,帮你系统补齐从算法到落地的知识。

核心能力

  • 按阶段规划从基础工具到 LLM、RAG、微调、Agent 的学习路径
  • 以视频课程为主、文字内容作为配套笔记
  • 给出每日深度工作与浅层工作的时间安排模板
  • 面向领导者、从业者和学生三类人群统一训练
  • 强调行动导向,不提供速成捷径

容易踩的坑

这是学习资源集合而非可安装的软件工具,没有安装命令;内容以视频和笔记为主,需要自行安排学习时间

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    README 原文

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    Open Source Love

    This is a drill for people who aim to be in the top 1% of Data and AI experts.

    You can do the drill by watching video sessions or text content.

    I will recommend video sessions and use text content as go-to notes.

    You can be in one of the following categories:-

    • either you are working on a leadership position
    • or you are working as a professional
    • or you are a student

    No matter what position you are working in currently, you need to put in the same amount of effort to be in the top 1%.

    Spoiler alert - There are NO Shortcuts in the tech field.

    This is for all humans who want to improve in the field and are courageous enough to take action.

    You will find all the topics explained here and whatever is needed to understand it completely.

    The drill is all action-oriented.

    To be the authority/best in the AI field, I created a routine that includes:

    • 4 hours of deep work sessions every day
      • Deep work session rules:
        • no phone/notifications
        • no talking to anyone
        • coffee/chai allowed
    • 2 hours of shallow work sessions every day
      • Shallow work session rules:
        • phone allowed
        • talking allowed
        • include sharing your work online

    You can customize the learning sessions according to your time availability.

    the path

    1. Prep
    2. Foundational AI Engineering Toolkit
    3. Machine Learning & MLOps - Build production-ready ML Systems
    4. Mastering Large Language Models - command and control LLMs
    5. Build & Deploy scalable RAG systems in production
    6. Fine-Tuning LLMs - build domain-specific AI Experts
    7. Architect & Build autonomous AI Agents
    8. Launch Your career as an AI Expert
    9. Bonus - Masterclasses to stay ahead
    10. Bonus