Take advantage of a coupon code for the 'PostgreSQL Essentials for Python Developers & Web Hosting' course, created by Lucas Mayrhofer, available on Udemy.
This course, updated on October 18, 2025 and it is expired on October 18, 2025.
This course provides 2 hour(s) of expert-led training in English , designed to boost your Database Design & Development skills.
Highly rated at 4.0-star stars from 0 reviews, it has already helped 6,069 students.
This exclusive coupon is shared by Anonymous, at the price 14.99 $
Don’t miss this opportunity to level up your skills!
You can find the discounted coupon code for this course at the end of this article
Are you ready to master one of the world’s most powerful open‑source databases? This hands‑on course will teach you how to install, configure, and use PostgreSQL for both web development and Python‑based applications. Whether you’re building interactive websites or integrating PostgreSQL into data‑driven software, this course gives you the practical skills to succeed.
You’ll start by learning PostgreSQL fundamentals: installation, essential SQL commands (creating, updating, and managing tables), and an overview of PostgreSQL’s rich data types. From there, you’ll dive into real‑world applications—including how to host a fully functional, interactive website on the cloud using PostgreSQL, PHP, and HTML. We’ll walk step‑by‑step through configuring a Linux web server for PostgreSQL, allowing users to submit inputs to a live database that dynamically updates your site.
Finally, you’ll explore Python and PostgreSQL integration using Psycopg2, enabling you to build more advanced data‑driven projects and automate database operations.
This course is beginner‑friendly yet practical, ideal for developers, aspiring data engineers, and anyone interested in web hosting or database‑driven applications.
Prerequisites: Basic Linux command‑line knowledge and familiarity with Python (and optional PHP basics for the web hosting project).
By the end, you’ll be confident using PostgreSQL for real applications—from small web projects to complex data workflows