A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
A structured, example-driven tutorial and template collection for learning Claude Code features from basic commands to agents, hooks, and MCP servers.
A curated list of free system design learning materials and interview preparation problems and concepts.
An open, bilingual Chinese-language book-guide on lifelong learning in the AI era, covering English study, AI learning, real projects, and personal recovery.
Chinese translation of the Deep Learning textbook by Goodfellow, Bengio, and Courville, with community proofreading.
A collection of 70 cybersecurity projects with source code, certification roadmaps, and learning resources, organized from foundations to advanced.
A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
A curated list of resources for learning English across listening, speaking, reading, writing, grammar, and vocabulary.
Monorepo of research code and datasets released by Google Research, spanning many subprojects.
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
A free course teaching how to design, develop, deploy, and iterate on production-grade machine learning applications in Python.
A Chinese-language book by Li Xiaolai teaching self-learning skills through a Python programming curriculum, delivered as Jupyter notebooks.
Source repository for Simon Prince's textbook Understanding Deep Learning, with LaTeX sources, figures, and Jupyter notebooks.
A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.
A curated collection of tutorials and hands-on projects covering LLMs, RAG, and AI agent applications, organized by difficulty.
Collection of ready-to-run vulnerable Docker Compose environments for security research, learning, and demonstration.
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
Official documentation site with tutorials and how-to guides for using the Nix package manager and NixOS.
Collection of dozens of minimal bare-metal x86 operating system examples for learning low-level system programming, tested in QEMU and on real hardware.
A free online book teaching Vim and Vimscript, covering core editing concepts from beginner basics to advanced features and plugin writing.
Community-maintained set of Microsoft Intune configuration baselines for Windows devices, built from CIS, NCSC, ACSC and Microsoft guidance.
A curated guide collecting tips, tricks, and reference material for learning and using Vim.