Explore the complete lifecycle of a Natural Language Processing (NLP) model for machine translation in this 30-minute conference talk from EuroPython 2020. Learn how to preprocess data, train a neural machine translation model using PyTorch, and deploy it as a web application. Discover techniques for containerizing the model with Docker and serving it efficiently using Flask, uWSGI, and Nginx. Gain insights into quick prototyping tips for NLP systems and best practices for deploying machine learning models in production environments. Suitable for those familiar with basic machine learning concepts, this talk provides a comprehensive overview of the steps involved in building and deploying NLP models for real-world applications.