mgreenx-ux/llm-engineering-course

This repository holds one person's coursework from an eight week LLM Engineering course on Udemy. LLM stands for Large Language Model, the type of AI system behind tools like ChatGPT. Rather than being a finished product, it is a running log of assignments, code experiments, and small tools the author builds while working through the course material. The project is organized by week and day, with folders like Week01 and Day01 holding the code for that stage of the course. There is a shared Python virtual environment and a single requirements file so all the weekly exercises can use the same set of installed packages instead of each having its own setup. A separate utils folder holds reusable scripts, and a notes folder holds the author's personal notes and cheat sheets from the lessons. The one concrete project described in the README so far is a URL Summarizer, a command line tool that fetches a webpage and returns a formatted markdown summary generated with OpenAI's API. Setup follows a standard Python pattern: clone the repository, create and activate a virtual environment, then install dependencies from requirements.txt with pip. This is a common structure for course based repositories, where the point is less about polished code and more about tracking incremental progress through a syllabus, one exercise at a time. Beyond this first project, the README is quite sparse. It notes that more weeks and projects are still to come as the author progresses through the course, so the bulk of the repository's eventual content is not yet described. There is no license file mentioned, and no indication yet of what later weeks will cover beyond this first summarizer tool.