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?

 

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 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

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 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 | 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 | 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 | 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.

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 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.

LLM Foundations · Prompting and Context · Retrieval and RAG · Fine-tuning · AI Agents · Evaluation and Observability · Multimodal · Production and LLMOps · Safety and Security

Or see the course and learning-resource catalog in one place: Courses and learning resources, by topic.

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 :mortar_board: Featured LevelUp Labs courses

Free, created by Aishwarya Naresh Reganti and the LevelUp Labs team, several with certification:

- AI Evals for Everyone (certified): 10 chapters on evaluating LLM and agentic systems.
- OpenClaw Mastery for Everyone (certified): a 10-day path to configure and run your own personal AI assistant.
- Agentic AI Crash Course: 10 parts on agents, tools, RAG, MCP, planning, memory, and multi-agent systems.
- Generative AI Genius: a no-math beginner introduction to generative AI.
- Applied LLMs Mastery (2024 edition): an 11-week foundational course, archived as a 2024 edition. Course website.

For courses and learning resources by topic, see the Courses and Learn