This repository aggregates high-quality learning materials organized into sequential and parallel learning modules covering artificial intelligence, machine learning, deep learning, data science, transformers, LLMs, RAG, and MLOps. It includes career-oriented paths, math foundations, programming prerequisites, and research paper recommendations. Resources are curated for balance between theory, intuition, and real-world application.