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awesome-generative-ai-guide

aishwaryanr/awesome-generative-ai-guide · Updated

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

aishwaryanr/awesome-generative-ai-guide is a HTML repository in the Awesome Lists category with 30,008 stars and 6,036 forks on GitHub, released under the MIT license, last updated today.

#awesome#awesome-list#generative-ai#interview-questions#large-language-models#llms#notebook-jupyter#vision-and-language
View on GitHub 30kGitHub stars

How to install awesome-generative-ai-guide in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install awesome-generative-ai-guide in Claude CodeAnthropic's agentic CLI

  1. Clone & open

    bash
    git clone https://github.com/aishwaryanr/awesome-generative-ai-guide.git
cd awesome-generative-ai-guide
claude

  2. Let Claude read it

    Ask “/init” to generate a CLAUDE.md, then have Claude explain, run, or extend the codebase. It reads files on demand.

Documentation

Full README

:star: :bookmark: awesome-generative-ai-guide

Generative AI is moving fast, and this repository is a comprehensive hub for generative AI research, courses, interview materials, notebooks, and more. Everything is now organized around one question: what do you want to do?

What do you want to do?

Pick the door that fits you. Each journey has its own 101 to 301 path.

  • 🧑‍💻 I want to use AI in my work → Use AI
  • 🏗️ I want to build AI systems → Build AI
  • 🔬 I want to understand the research → Understand AI
  • 💬 I'm prepping for an interview → Interview Prep hub
  • 📚 I just want to browse the course catalog → Courses and learning resources, by topic
  • 📺 I'd rather watch → Video transcripts and resources

Journey and level grid

Pick your row (who you are) and your column (how far you want to go), then click in. Levels mean something different in each journey: depth is relative to that journey's goal.

| Journey | 101 Start 🟢 | 201 Practitioner 🟡 | 301 Advanced 🔴 | |---|---|---|---| | 🧑‍💻 [Use AI](journeys/use.md) | what LLMs are; prompting basics; chat tools well | power-prompting; projects; connecting tools; agent harnesses at work | personal automation; multi-step agent workflows for yourself | | 🏗️ [Build AI](journeys/build.md) | how LLMs work enough to build; the app stack; your first LLM app | RAG, agents, evaluation, fine-tuning, guardrails | LLMOps, production scale, advanced agents and RAG, security, system design | | 🔬 [Understand AI](journeys/understand.md) | transformers; key papers; how to read a paper | active research areas: reasoning, agents, RAG, evaluation | the frontier: monthly paper archive (latest: June 2026), research tables, State of AI |

Build is the flagship journey and the deepest one. The 90+ learning resources and code notebooks that used to be one long list are now sorted into these cells by level and tagged by topic.

Browse by Topic

Already know your subject? Jump straight to it. Each topic page gathers everything on that subject and shows which journey and level each piece serves.

Excerpt — the full document is on GitHub.

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