aishwaryanr/awesome-generative-ai-guide

Project overview

A curated, hosted directory that organizes generative AI resources into goal-oriented learning paths, topic pages, and role-based interview preparation. It is consumed as a static web page on GitHub and requires no setup or coding.

Project type

AI Agent · RAG · Evaluation & Observability

Use cases

Learning & Education

Deployment

Refer to project documentation

License

MIT

Best for

• Researchers, developers, and educators seeking a structured, no-cost directory to navigate generative AI education, research, and interview materials.

Key capabilities

• Organizes content into structured learning paths (Use AI, Build AI, Understand AI) based on user goals, each featuring a 101 to 301 progression level.
• Provides dedicated pages to jump straight to subjects like LLM Foundations, Prompting, RAG, Fine-tuning, AI Agents, Evaluation, and Multimodal.
• Delivers a full interview prep hub with deep question banks, resources, and prep plans tailored to specific roles like AI Engineer and AI Product Manager.
• Hosts multi-chapter original courses created by the LevelUp Labs team on topics like AI Evals, Agentic AI, and applied LLMs, some offering certification.
• Tracks the frontier of AI research with monthly best paper lists, living research tables, and State of AI reports.

Limitations and risks

• The project is a static repository of markdown files read directly on GitHub; it does not offer interactive computing environments or backend services.
• GPU requirements, minimum hardware, operating system compatibility, and telemetry practices are not documented, consistent with its nature as a hosted awesome-list.

Getting started

• Setup is easy. Open the repository on GitHub and navigate the README to choose a journey or topic. No coding or installation is required.

Evidence and sources

• GitHub project description: A one stop repository for generative AI research updates, interview resources, notebooks and much more!
• README: Generative AI is moving fast, and this repository is a comprehensive hub for generative AI research, courses, interview materials, notebooks, and more.
• README: Pick the door that fits you. Each journey has its own 101 to 301 path.
• README: Build is the flagship journey and the deepest one. The 90+ free courses and code notebooks that used to be one long list are now sorted into these cells by level and tagged by top…
• README: Or see every free course in one place: **[All free courses, by topic](courses.md)**.

Reviewed at: 2026-07-17T10:10:10Z