This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
Awesome Generative AI Guide
This guide curates generative AI research updates, interview resources, notebooks, courses, and learning paths.

About Awesome Generative AI Guide
Awesome Generative AI Guide is a GitHub repository that collects generative AI research updates, courses, notebooks, and interview materials. Content is grouped into journeys for using AI in work, building AI systems, and understanding research, each with 101, 201, and 301 levels, plus sections for topics, free courses, videos, and interview preparation.
It includes topic pages such as LLM foundations, prompting, retrieval and RAG, fine-tuning, agents, evaluation, multimodal, production, and safety, and a role-based interview hub. System-design interview drills are noted as planned for a later phase.
Key features
- Three-level learning journeys for using, building, and understanding AI
- Topic pages for LLM foundations, RAG, agents, evaluation, and safety
- Role-based interview prep with question banks and prep plans
- Shared set of 60 generative AI interview questions
- Free courses sorted by level, journey, and topic
- Research updates with monthly papers and research tables
- Sorts 90+ free courses and notebooks by journey, level, and topic
- Provides role-specific interview folders with overviews, question banks, and prep plans
- Combines practical paths with research updates and topic-based browsing
- System-design interview drills are listed as planned for a later phase
Awesome Generative AI Guide at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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