llm_engineering

Why we included this project

Ed Donner's repository is the companion workspace for an eight-week course on building LLM applications, and the real value is that you learn by running the code rather than reading about it. Each week's projects build on the last, moving from getting a local model working up to larger agent-based and retrieval systems, so the difficulty ramps naturally. It suits Python developers who want a guided path into production-style LLM engineering, and since the examples can run with Gemini or other free models instead of OpenAI, you are not locked into one provider. Small teams could also use it as a shared curriculum to train new members on AI engineering fundamentals, as long as they treat it as a hands-on tutorial and reference archive rather than a drop-in library.