Python OOP: Object Oriented Programming From Beginner to Pro (Udemy.com)
Everything you need to develop great object oriented software. Classes, objects, polymorphism, SOLID, Design Patterns...
Created by: Danny Adams
Last updated December 2024
What you will learn
- Go from complete OOP beginner to being confident and ready to get a job working on OOP software
- Learn the basics of OOP: creating classes, objects, attributes, methods, access modifiers, abstract classes, getters & setters, properties, static attributes...
- Understand crucial OOP concepts with examples: encapsulation, abstraction, inheritance, polymorphism, coupling, composition, dependency injection
- The five SOLID principles show you how to assign responsibilities to classes and manage relationships between them
- The "Gang of Four" Design Patterns: proven solutions to recurring problems in software design, so you don't have to reinvent the wheel
- Unified Modelling Language (UML) for visually modelling classes and the relationships between them in a standardised way
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.6 out of 5higher than 67% of them
- Reviews319#702 of 1,183 by number of reviews
- Length6.7 hourslonger than 56% of them
- Last updatedDecember 2024earlier than 57% of them
Course Description
This course is for Python developers, of any level, that want to learn everything needed to write elegant, organised, maintainable object-oriented software.
Object-oriented programming (OOP) can be confusing for beginners. Most Python courses just teach you about classes, objects, fields and methods – without teaching the crucial concepts that show why organising software in this way is so powerful.
Python developers often then go on to work on object-oriented software, such as web applications built with Django, without having any clue of how to organise their code. This leads to software that is a nightmare to maintain, as adding new features often requires you to make breaking changes to existing working and tested code.
I created this course with the goal to demystify OOP for Python developers. Through clear explanations and real-world examples, we will explore essential OOP concepts such as encapsulation, abstraction, polymorphism, composition, inheritance, dependency injection, UML, SOLID principles, and design patterns -- giving you everything that you need to develop great, maintainable and elegant object oriented software.
What you will learn
The first part of the course assumes that you’re a complete OOP beginner, and introduces the very fundamentals of OOP: classes and objects, attributes and methods, access modifiers, static attributes and static methods, properties vs getters and setters. By the end of this section, you’ll have the tools to write and understand object-oriented software…
But tools alone aren’t enough! Writing great software requires understanding the principles that help you organise your code effectively. The rest of the course focuses on these time-tested principles, teaching you how to think, refactor, and communicate about well-designed, maintainable, and extendable OOP software. Each concept is introduced with an example that first violates the principle, followed by a discussion of the issues and a refactored solution -- helping you to really understand the principle and its applications.
Section Two covers the foundational OOP principles you’ll use throughout the rest of your career: encapsulation, abstraction, inheritance, polymorphism, coupling, composition (and its advantages over inheritance), and the fragile base class problem.
Section Three introduces Unified Modelling Language (UML) to visually model classes and objects, and the relationships between them in a standardised way.
Section Four dives into the SOLID principles, building on the concepts from Section Two. This section will deepen your understanding of how to assign responsibilities to classes and manage relationships between them.
Section Five introduces the "Gang of Four" design patterns. These patterns provide proven solutions to recurring problems in software design, reinforcing everything you’ve learned in the course. You will learn six useful design patterns: State Pattern, Observer Pattern, Facade Pattern, Adapter Pattern, Prototype Pattern and Abstract Factory Pattern.
By the end of this course, you’ll have the knowledge and confidence to write OOP code that is clean, scalable, and maintainable.
Instructor Details
- 4.6 Rating
319 Reviews
Danny Adams
Hi! I'm a freelance software developer and technical writer. I build fullstack web applications, Shopify apps, mobile apps, and WordPress plugins and themes. I have experience with many programming languages and frameworks from working on a wide range of projects, including React, Django, Node, Laravel, .Net, Spring and PosgreSQL. But Python is currently the language I enjoy working with the most!
I am also a technical writer and enjoy writing tech blog posts, books, videos and courses. I sporadically create content for FreeCodeCamp’s blog and YouTube channel.
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Reviews
By Pedro Paulo Gazola Miyasaki on 1/27/2026
The course is very good, no critics about teaching methods, speed, examples, nothing. The only minor room for improvement I see is that the course does not cover all the GoF patterns, the fact that I have to finish the course study more material if I really want to be proficient bothers me a little bit.
By Теодора Иванова on 1/25/2026
The course was very useful to me. The examples for all the topics covered in the course are simple and clear. Thus, it is very easy to understand the concept it is being explained. The comparison between naive and good solution really helps a lot in better to understand the theory such as why the specific OOP principle is being violated or why a concrete design pattern is chosen in a given situation. I would definitely recommend this course to the ones who want learn Python OOP Concepts.
By Alexandr Dibrov on 10/22/2025
Really enjoyed this course! Things to point out: - confluent and lively flow of the presentation - concise yet eloquent code examples - generated in real time - good balance between coding and discussing concepts
By Taylor Waters on 6/19/2025
Just wish there were some practice involved with the course. Great explanations though.
By Mihail Valche on 6/12/2025
Overall rating for this course is good. My only recomendations is only on presentation of the videos. t is zoomed, the lector must scroll down and up. no-stop and this why I must paused it. The code all the must be visible all the the time for inspection. Most of the videos are just typing, and explanation is just 20% of the time. If the point is to discuss the code I don't want to spend 5 minutes in just waiting.
By Walter Seiffert on 5/30/2025
Overall a well-structured and successful introduction to the fundamentals of OOP software design that sketches ways of a reasonable and purpose-oriented organisation of your code. Fortunately not bloated with additional materials, but limited to the content that the instructor claims to offer. The video lectures are presented in a calm and factual style, interspersed with the relevant technical terms, but without getting lost in technical jargon. The centrepiece of the course are the SOLID principles and the "Gang of Four" Design Patterns, whose motivation and advantages are demonstrated using simplified code examples (- regularly starting with a "naive" solution to the chosen programming task, which leads to typical software problems). Although the choice of such rather abstract teaching examples makes perfect sense in terms of didactic reduction, I would have appreciated a complete "real-world" OOP project (even if kept basic) as final illustration of the recommended design principles and their interaction.
By Aqeel Abbas on 3/24/2025
The course is very good. it covers everything from the basics to the advanced levels, though i have a suggestion for improvements: 1. Cover Multiple Inheritance and... Cover More Design Patterns!
By Rohan Anarse on 1/10/2025
While my background is in React, I found that the course helped me develop a solid foundation in OOP with Python. The concepts and principles covered will definitely aid in expanding my skill set. Overall, I highly recommend this course to anyone looking to learn and understand OOP in a practical way, regardless of their programming background!
By Alessandra Gia on 1/9/2025
I thoroughly enjoyed this course! The instructor's explanations are clear, concise, and supported with helpful and practical examples that make understanding OOP concepts in Python easy. The step-by-step approach ensures that even beginners can grasp advanced topics with confidence. Highly recommended for anyone looking to build a SOLID foundation in Python object-oriented programming!
By Igorkocic on 12/22/2024
This is a great course for learning OOP. The instructor doesn’t just teach the concepts, but really explains why and when to use them. I kept coming across concepts such as polymorphism and dependency injection when reading tutorials, but could never really understand them. But I now feel I have a good understanding of those concepts. The examples that teach each concept are also really clear, and the refactoring section of each example makes the concept easy to understand. Overall, a very well-made course
Quality Score
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Overall Score : 92 / 100






