A structured, example-driven tutorial and template collection for learning Claude Code features from basic commands to agents, hooks, and MCP servers.
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
Collection of dozens of minimal bare-metal x86 operating system examples for learning low-level system programming, tested in QEMU and on real hardware.