Generative AI
A curated collection of learning resources on generative AI and agentic AI: a roadmap, cheat sheets, notebooks, and interview prep covering core concepts, retrieval-augmented generation, LLM providers, and cloud platform implementations on AWS, Azure and Vertex AI.
This repository collects reference material for learning generative AI, machine learning and agentic AI: a GenAI roadmap, an AI/ML roadmap, cheat sheets, and notebooks and PDFs on topics such as vector embeddings, prompt engineering, common AI design patterns, LLM provider comparisons, and a decision guide for retrieval-augmented generation architectures.
It includes cloud-platform guides for building generative AI systems on AWS, Azure and Google Cloud Vertex AI, plus interview-preparation tracks with question-and-answer modules and PDFs covering GenAI and transformers, RAG and prompting, LLM fundamentals, and agentic AI scenarios.
A companion product, described as an interactive learning platform, offers related material with animated diagrams, quizzes and hands-on Python exercises across 28 tracks and more than 400 modules, with a paid tier for the full interview question sets.