Build Your First AI Service

• ✓Build and ship a working AI service end to end — train a model, serve it over HTTP, protect it, and containerize it
• ✓Turn raw data into arrays with NumPy, the format every ML library actually speaks
• ✓Train and honestly measure your first classifier with scikit-learn, then rebuild it in PyTorch with tensors and autograd
• ✓Serve a trained model as a JSON API with FastAPI, and rate-limit it with slowapi so an open endpoint cannot run up a bill
• ✓Run a real LLM locally with Ollama — no API key, no cloud — and call it through the same request contract every hosted provider uses
• ✓Package the whole service into a Docker image that runs on any machine

Build the toolchain every AI project assumes you already know — one small service that carries you from a NumPy array to a running container, so the next drill you take starts with the tools instead of stopping at them.