Design Patterns

Overview

Build a strong foundation in object-oriented design by applying proven software design patterns in Python. Explore creational, structural, and behavioral patterns, and see how each category addresses common challenges in building flexible, reusable, and scalable systems. Learn why these patterns go beyond "common sense" and represent decades of accumulated engineering wisdom. Practice translating abstract ideas into clear, maintainable code. By the end of this course, you will understand how design patterns connect to SOLID principles, dependency injection, and modern AI-assisted development workflows.

Syllabus

Introduction to Design Patterns

Learn what design patterns are, why they exist, and how they connect to SOLID principles to help you design maintainable, testable, and scalable software.

Creational Design Patterns

Apply creational patterns—Singleton, Factory Method, and Builder—to design flexible solutions where object creation should be separated from usage.

Structural Design Patterns

Use Adapter, Decorator, and Composite patterns in Python to modify or combine objects without changing their internal logic.

Behavioral Design Patterns

Learn how Observer, Strategy, and Command patterns support delegation, flexible behavior, and decoupled object interactions.

Principles in Practice

Apply dependency injection to decouple objects, support testing, and enable clean, flexible implementations of modern design patterns.

Personal Finance Manager for Freelancers and Gig Workers

Apply classic design patterns to a working Python finance application, combining required patterns with one of your choice and validating your design through testing.