rohitg00 / ai-engineering-from-scratch

A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.

mrdbourke / zero-to-mastery-ml

Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.

NirDiamant / RAG_Techniques

A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.

google-research / google-research

Monorepo of research code and datasets released by Google Research, spanning many subprojects.

microsoft / AI-For-Beginners

A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.

alirezadir / AIMLInterviews

A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.

microsoft / ML-For-Beginners

A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.

DataTalksClub / machine-learning-zoomcamp

A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.