Python Application and ML Model Deployment on VPS

You have built your Python application, machine learning model, or Telegram bot, but keeping it on your local machine limits its potential. To make your work accessible to the world, you must understand how to transition from local development to a live, secure production environment. This text-only course guides you through the foundational concepts of web deployment, system administration, and server hosting. You will learn how to configure a Virtual Private Server (VPS), link domains, secure your traffic, and keep your Python services running continuously. What you'll learn: - Understand key web deployment terminology, DNS routing, and server architecture basics. - Configure a Virtual Private Server (VPS) from scratch and securely connect a custom domain. - Set up Nginx as a reverse proxy to manage incoming web traffic for FastAPI, Flask, or Django applications. - Manage background processes and system daemons to ensure your Python scripts and Telegram bots run continuously. - Secure your applications by obtaining and installing SSL/HTTPS certificates. - Deploy machine learning models and web APIs using modern server-side practices and containerization fundamentals. The course begins with foundational definitions of servers, domains, and DNS before moving into step-by-step written guides on server configuration. You will progress through configuring Nginx, setting up system services, and securing your applications with SSL. This course is designed for beginner Python developers, aspiring data scientists, and ML engineers who want to learn how to host their own projects without needing prior DevOps experience. Start reading today to take your Python applications from your local computer to the public web.