This course is designed to equip learners with the intermediate skills required to develop interactive and visually dynamic desktop applications using PyQt5. Building on foundational Python and PyQt knowledge, the course emphasizes practical implementation of GUI customization, drawing tools, dialog management, and multimedia integration.

In Module 1, learners will apply core concepts of GUI handling including clipboard management, system dialogs, and basic drawing using QPainter. Through hands-on practice, they will construct structured applications by incorporating different APIs for UI components. In Module 2, the course progresses to more refined control over visual design and interactivity. Learners will apply various pen and brush styles to tailor GUI aesthetics, and implement advanced techniques such as drag-and-drop functionality and image handling using QPixmap. By the end of the course, participants will be able to demonstrate, modify, and develop intermediate-level PyQt applications with user-friendly interfaces and interactive features.

This course empowers learners to design and build fully functional, database-driven desktop applications using PyQt and MySQL. Through hands-on lessons and structured demonstrations, learners will develop practical skills in GUI development, database connectivity, and data operations within a Python environment.

Participants will begin by understanding the architecture and scope of PyQt, then progress to designing user interfaces using Qt Designer. They will construct MySQL database structures and establish real-time connections with their PyQt applications. Finally, learners will implement form-based data insertion and execute retrieval operations, presenting database content in interactive GUI components. The course is ideal for developers seeking to elevate their application-building capabilities by integrating robust front-end design with reliable back-end storage, using Python as the programming foundation. Learning outcomes are structured around Bloom’s Taxonomy to ensure the ability to describe, construct, demonstrate, and implement core techniques in PyQt and MySQL integration.

This project-based course guides learners through the design and development of a fully functional calculator application using PyQt5 and Python. Starting from environment setup to interface layout and backend logic integration, learners will gain hands-on experience building real-world GUI applications.

The course begins by introducing key PyQt concepts, setting up a Python development environment in PyCharm, and installing essential packages. Through structured lessons, learners will design the graphical interface using widgets like QLabel, QPushButton, and geometric layout tools such as QRect. They will then implement core logic using object-oriented programming principles and PyQt’s signal-slot mechanism. By the end of the course, learners will be able to construct a GUI from scratch, apply logical operations based on user input, and demonstrate a complete PyQt application with interactive features and clean visual structure. This course is ideal for developers seeking to apply their Python skills in desktop application development using PyQt.

This hands-on course guides learners through the end-to-end development of a desktop-based Employee Management System using PyQt5 and MySQL. Designed for students and developers with basic Python knowledge, the course emphasizes both frontend UI design and backend database integration.

Learners will design the user interface by constructing intuitive layouts, creating reusable components, and developing core CRUD (Create, Read, Update, Delete) forms using PyQt’s rich widget library. Learners will implement real-world database functionality by integrating MySQL with the UI. They will insert, retrieve, delete, and display employee data dynamically, map GUI navigation with layout transitions, and conclude with a functional project demo. By the end of the course, learners will be able to develop, link, and deploy a fully operational GUI application with complete data management capabilities, thereby enhancing their understanding of full-stack desktop application development using Python.