Python: Object Oriented Programming

Python: Object Oriented Programming – taught by Frank Anemaet – is a practical Udemy course that helps learners master OOP concepts in Python. It appears in search results for free Python OOP course, Python OOP Udemy course, and learn object oriented programming online. Updated July 2026, the curriculum focuses on classes, inheritance, abstract base classes, and encapsulation, enabling students to build robust, maintainable Python applications and earn a completion certificate.

What You'll Learn

• Build custom Python classes that encapsulate data and behavior for real‑world projects.
• Master inheritance hierarchies and polymorphic methods to reuse and extend code efficiently.
• Learn how to apply encapsulation and abstraction to hide implementation details and improve modularity.
• Understand the principles of object‑oriented design and how they reduce software complexity.
• Create abstract base classes and interfaces that define contracts for future extensions.
• Implement composition over inheritance when appropriate to achieve flexible architecture.
• Analyze common OOP pitfalls in Python and adopt best practices to avoid them.
• Apply OOP techniques to solve typical programming challenges such as data modeling and API design.

Course Details

• Instructor: Frank Anemaet
• Rating: 4.1 stars
• Duration: —
• Level: Beginner
• Language: English (en‑US)
• Enrolled students: 346,010
• Last updated: —
• Certificate: Yes, upon completion
• Includes: —

What This Course Covers

Introduction to Object‑Oriented Programming

• Definition of OOP and its advantages over procedural programming.
• Comparison of Python’s OOP model with other languages.
• Overview of the course structure and learning objectives.

Classes and Objects Fundamentals

• Syntax for defining classes, constructors, and instance attributes.
• Creation and manipulation of objects, including attribute access and method calls.
• Use of self to reference instance data within class methods.

Inheritance and Polymorphism

• Building child classes that inherit from parent classes.
• Overriding methods to achieve polymorphic behavior.
• Utilizing super() to extend and customize inherited functionality.

Advanced OOP Concepts

• Implementing abstract base classes with the abc module.
• Understanding encapsulation through private and protected members.
• Applying multiple inheritance and method resolution order (MRO).

Practical OOP Projects

• Designing a simple inventory management system using OOP principles.
• Developing a command‑line calculator that demonstrates class composition.
• Refactoring a legacy script into a modular, object‑oriented solution.

Who Should Take This Course

• Beginners who have completed an introductory Python course and want to deepen their skill set.
• Junior developers seeking to adopt OOP best practices for cleaner codebases.
• Data scientists who need to structure analysis pipelines with reusable classes.
• QA engineers looking to automate tests using object‑oriented test frameworks.
• Hobbyists aiming to build larger Python applications beyond simple scripts.

Prerequisites

• Basic familiarity with Python syntax, variables, loops, and functions.
• No prior experience with object‑oriented programming is required; the course starts from first principles.
• Recommended: Ability to run Python scripts locally or in an online IDE.

Why Enroll in This Course

This course delivers a focused, beginner‑friendly path to mastering Python OOP without overwhelming theory. A free coupon provides 100 % off for a limited time, making the Udemy training accessible to anyone interested in professional development. The curriculum emphasizes hands‑on coding, so learners can apply concepts immediately and build a portfolio of OOP projects. Compared with generic Python tutorials, this program offers a structured, certification‑ready experience that prepares students for real‑world software design tasks.

Course Highlights

• Lifetime access to all video lectures and downloadable resources.
• Self‑paced learning format that fits any schedule.
• Certificate of completion that can be added to LinkedIn or a résumé.
• Practical exercises and mini‑projects that reinforce each OOP concept.
• Mobile‑friendly interface allowing study on smartphones or tablets.
• 30‑day money‑back guarantee for risk‑free enrollment.

Frequently Asked Questions

Q: Is this course really free?
A: Yes, the Udemy platform currently offers a 100 % off coupon, granting full access to the course at no cost. The promotion is time‑limited, so enrolling promptly secures the free enrollment.

Q: What will I learn in this Python OOP course?
A: You will learn to define classes, create objects, implement inheritance, use abstract base classes, and apply encapsulation to manage code complexity. The curriculum also covers practical projects that demonstrate how OOP solves real programming problems.

Q: Do I get a certificate after completing this course?
A: A Udemy‑issued certificate of completion is awarded once you finish all lectures and pass the built‑in assessments. This certificate can be shared on professional networks to validate your new OOP skills.

Q: Is this course suitable for beginners?
A: Absolutely. The instructor starts with fundamental concepts and gradually introduces advanced topics, making it ideal for learners who have basic Python knowledge but no prior OOP experience.

Q: How long do I have to enroll for free?
A: The free coupon remains active for a limited period, typically a few weeks after it is published. Checking the course page regularly ensures you claim the discount before it expires.

Final Thoughts

Python: Object Oriented Programming by Frank Anemaet equips beginners with the essential tools to design clean, maintainable Python software. If you want to transition from script writing to robust application development, this Udemy course offers a clear, hands‑on pathway. Start today and unlock the power of object‑oriented design in your Python projects.