generative-ai

Why we included this project

This is the kind of repository you keep open as a working syllabus, not another pile of bookmarked links. It organizes a GenAI learning path with practical notebooks and PDF guides on embeddings, prompt engineering, RAG, and the main LLM providers, and it bundles interview Q&A sets that reach from classical machine learning through deep learning, MLOps, and agentic AI. Engineers prepping for AI roles will find the question bank useful, and teams onboarding developers get a common baseline to point everyone at. Real project examples tied to cloud platforms and actual use cases mean you can move from reading to building without going off to hunt down sources. It is curated reference material for learning, not software to deploy.