What deployment means and the parts of an AI app

Learn the parts every AI product has: a frontend (web page or chat UI), a backend API (your Python code), the model (your ML model file or an LLM API), data stores (database, vector database, file storage), background workers (long jobs), and monitoring. Deployment = putting these on servers so users can reach them reliably, safely and at an acceptable cost.