awesome-generative-ai-guide
A curated hub of generative AI courses, research updates, notebooks and interview prep.
- Stars
- 30.1k
- Forks
- 6.1k
- Licence
- MIT
- Language
- HTML
- Last update
- 8 days ago
- Type
- Curated list
What it is
This is a free, curated collection of links and learning materials about generative AI, organized into paths by goal (using AI, building AI systems, understanding research) and by level. It also includes free courses from the maintainers, monthly research paper lists, glossaries, and role-based interview prep for jobs like AI engineer and product manager. It is a reading and study guide rather than a piece of software you install.
- Pick a learning path by goal and level from the journey grid
- Find courses on a specific topic such as RAG or fine-tuning via the topic index
- Practice interview questions from the GenAI question bank and role folders
- Read the LLM Lingo glossary to learn common terms
Great for
- Beginners who want a structured starting point for generative AI
- Developers looking for learning resources on RAG, agents, and evaluation
- Job seekers preparing for AI engineering or product interviews
- Readers who want to track monthly generative AI papers
Not ideal for
- People who need a runnable tool or library, since this repo is a collection of links and materials
- Readers who want fully vetted, up-to-date course quality claims, because the README does not verify each listed resource
- Anyone expecting a single linear course, since content is spread across many linked pages
How to get it
- 1
Read it online
Clone the repository locally (optional)
git clone https://github.com/aishwaryanr/awesome-generative-ai-guide - 2
Run it
- Open the repository on GitHub and read the 'What do you want to do?' section
- Choose a journey such as Use AI, Build AI, or Understand AI
- Pick your level in the journey and level grid
- Follow the linked resources in order
- 3
Get the most out of it
- Use the Browse by Topic index to jump straight to a subject such as RAG or evaluation
- Work through the free LevelUp Labs courses such as AI Evals for Everyone
- Use the role-based interview prep folders alongside the shared GenAI question bank
- Check the monthly research paper lists to follow new work
Downloads
Strengths
- Large, well-organized index with clear paths by goal and level
- Includes free courses, some with certification, from the maintainers
- Regularly updated with new resources and monthly paper lists according to the README
Trade-offs
- Mostly links to external and internal materials, so quality varies by linked resource
- Some featured courses are paid live cohorts or archived editions, which the README notes
- The README is long and some sections point to pages not reproduced here
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| awesome-generative-ai-guide (this) | 30.1k | Curated list | beginner | 8 days ago | Beginners who want a structured starting point for generative AI |
| awesome-ai-engineering | 22.5k | Curated list | beginner | 15 days ago | Developers who want an overview of the AI engineering topics covered in the description |
| generative-ai-for-beginners | 123k | Learning resource | beginner | 5 days ago | Developers who know some Python or TypeScript and want a guided introduction to generative AI |
| Prompt-Engineering-Guide | 79.8k | Learning resource | beginner | 8 months ago | People who are new to prompting and want structured lessons with examples |
| PocketFlow-Tutorial-Codebase-Knowledge | 12.7k | Dev tool | intermediate | 5 months ago | Developers who need to understand a large unfamiliar open-source project |
| langflow | 156k | App | intermediate | 4 days ago | Developers who want a visual way to prototype LLM workflows and then move them into code |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.