AI-Bootcamp

Why we included this project

AI-Bootcamp is a self-paced study track for applied generative AI, laid out as a sequence of lessons that each pair a runnable notebook with a written tutorial and often a video. It starts with the Python, math, and PyTorch foundations you need to follow along, then works through the stack most LLM engineers actually use: local serving with Ollama, RAG pipelines, LangChain and LangGraph, and agent frameworks like CrewAI. A closing section covers testing data, tracking experiments, and serving a model behind FastAPI. Because the lessons are hands-on and self-contained, it suits programmers coming to LLM work for the first time or teams looking for a structured way to onboard new engineers. It is a study resource rather than software you deploy, so treat it as a well-sequenced tutorial collection whose examples map onto real tools.