Python OOP Course

19 Lesson

30 Hours

15K+ Learners

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Master the art of Object-Oriented Programming using Python with this comprehensive online Python OOP Course by igmGuru.

Level: Beginner to Advanced
15+ Comprehensive Course Modules
Practical Capstone Projects
Resume Building and Career Support

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Python OOP Course Overview

The Python OOP Course by igmGuru is a top pick for students and professionals who want to start a promising career in the field of software development. The course introduces object-oriented programming in Python fundamentals and advanced concepts like classes, objects, encapsulation, and methods in a way that shows how the pieces work together. Learn from the best industry-level mentors through live projects, hands-on practice, and a 100% career-assistance approach. At the end of your learning program, you will receive an igmGuru Certificate of Completion and have enough confidence and skillset to apply for a rewarding job in software engineering or related field.

Prerequisites

This course has been designed to help you learn object oriented programming in Python the easy way. However, it is still recommended that you have these essential things clear before enrolling.

Fundamental coding skills and knowledge
Python basics
Programming logic
Fundamentals of algorithms

Course Objectives

Master OOP foundations
Design and build classes
Reuse and optimize code
Prepare for technical roles

What You’ll Learn

Object-oriented Python features implementation
Polymorphism and inheritance with examples
MRO, property, and super() with examples
Good understanding of object-oriented features in Python
Creating objects and classes
Data hiding, class variables, class methods, and static methods
Applying object-oriented Python concepts in your career
Writing clean and readable code
Create useful software applications using Python OOP
Build stunning websites, games, and more using object-oriented Python programming

Who Should Take This Course?

Students and learners who want to learn object oriented programming in python to build a strong OOP foundation.
Software developers and engineers working on projects and products, which need good understanding of object-oriented Python
Technical managers and architects wanting to know object-oriented Python
Anyone who wants to grasp object-oriented fundamentals of Python in an easy, fun, and simple way

Technical Skills You’ll Gain

App development
Simulations
Code reusability
Software engineering
Object-oriented programming (OOP) in Python

Tools Covered

Thonny (for beginners)
PyCharm
VSCode

Career Options After Course Completion

You will have plenty of career opportunities after completing our object-oriented python course. After becoming proficient in what our instructors teach you, you can apply for a job as a:

Fresher Python Developer
Mid-Level Python Developer
Mid-to-Senior Level Python Developer
Python Architect

Salaries of OOP Python Professionals in INR and USD

Job Role	Experience (in Years)	Salary in India (Annual)	Salary in USA (Annual)
Fresher Python Developer	0-1	₹3-6 LPA	$85,500–91,342
Mid-Level Python Developer	1-3	₹5-10 LPA	$114,000–125,499
Mid-to-Senior Level Python Developer	3-5	₹10-18 LPA	$108,000–172,428
Python Architect	5+	₹18-32+ LPA	$216,000+

Why Choose igmGuru for this Program?

The Python OOP Certification Program by igmGuru is taught by experienced mentors with at least 12-15 years of experience.
One-on-one, classroom, and self-paced learning options available.
2026 course content for OOP and Python 3.15.2.
Live training with practice on job-related tasks.
You don’t need to download or install anything to start learning. Every tool and resource will be provided in a cloud workspace.
Our qualified trainers provide 100% guidance and practice for job interviews.
You will receive an internationally acclaimed certificate of course completion, which gets you recognized by top recruiters.

Key Features

100% Money-Back Guarantee
Flexible Schedule
24 X 7 Lifetime Support
100% Job Assistance
Get Certified & Get Placed
Experienced & Professional Trainers

Python OOP Course Curriculum

Lesson 1 - Introduction to Object-Oriented Programming in Python

1. Understanding Object-Oriented Programming (OOP)

2. Core OOP concepts: classes, objects, attributes, and methods

3. Procedural Programming vs. Object-Oriented Programming

4. Understanding Python's object model

5. Benefits and applications of OOP in Python

Lesson 2 - Classes and Objects

1. Defining Classes Using the class Statement

2. Creating and Instantiating Objects

3. Understanding Instance Attributes

4. Accessing and Modifying Object Attributes

5. Understanding Class Namespaces and Instance Namespaces

6. Dynamic Attribute Assignment

7. Understanding Object Identity and References

Lesson 3 - Object Initialization and Methods

1. Understanding the __new__() Method

2. Initializing Objects Using __init__()

3. Understanding the self Parameter

4. Defining and Calling Instance Methods

5. Understanding Method Binding

6. Returning Values from Methods

7. Understanding Object Initialization and Construction

Lesson 4 - Instance Variables and Class Variables

1. Understanding Instance Variables

2. Understanding Class Variables

3. Differences Between Class and Instance Attributes

4. Attribute Lookup and Resolution

5. Sharing Data Between Instances

6. Mutable Class Variables and Common Pitfalls

7. Modifying Class Attributes and Instance Attributes

Lesson 5 - Encapsulation and Attribute Management

1. Understanding Encapsulation in Python

2. Public, Non-Public, and Name-Mangled Attributes

3. Understanding Single and Double Leading Underscores

4. Managing Attribute Access

5. Implementing Getters and Setters

6. Using Properties with @property

7. Understanding Python's Approach to Data Hiding

Lesson 6 - Inheritance

1. Understanding Inheritance in Python

2. Defining Base Classes and Derived Classes

3. Inheriting Attributes and Methods

4. Extending Existing Classes

5. Overriding Inherited Methods

6. Understanding the isinstance() Function

7. Understanding the issubclass() Function

8. Benefits and Limitations of Inheritance

Lesson 7 - Method Overriding and super()

1. Understanding Method Overriding

2. Calling Parent-Class Methods with super()

3. Extending Base-Class Functionality

4. Understanding Cooperative Method Calls

5. Using super() in Single Inheritance

6. Using super() in Multiple Inheritance

7. Understanding Method Resolution Order During Inheritance

Lesson 8 - Multiple Inheritance and Method Resolution Order

1. Understanding Multiple Inheritance

2. Inheriting from Multiple Base Classes

3. Understanding Method Resolution Order (MRO)

4. Exploring the C3 Linearization Algorithm

5. Understanding the __mro__ Attribute

6. Using the mro() Method

7. Resolving Method Name Conflicts

8. Designing Cooperative Multiple-Inheritance Hierarchies

Lesson 9 - Polymorphism and Duck Typing

1. Understanding Polymorphism in Python

2. Implementing Polymorphism Through Method Overriding

3. Understanding Duck Typing

4. Using Objects Through Common Interfaces

5. Writing Code That Works with Different Object Types

6. Understanding Python's Dynamic Typing in OOP

7. Applying Polymorphism to Reusable Application Design

Lesson 10 - Abstract Base Classes

1. Understanding Abstract Base Classes

2. Introduction to the abc Module

3. Creating Abstract Classes Using ABC

4. Defining Abstract Methods with @abstractmethod

5. Implementing Abstract Methods in Subclasses

6. Understanding ABCMeta

7. Registering Virtual Subclasses

8. Using Abstract Base Classes to Define Interfaces

Lesson 11 - Special Methods and Operator Overloading

1. Introduction to Python's Special Methods

2. Understanding __str__() and __repr__()

3. Implementing Equality with __eq__()

4. Understanding Comparison Special Methods

5. Overloading Arithmetic Operators

6. Implementing Container-Related Special Methods

7. Understanding __len__(), __getitem__(), and __contains__()

8. Understanding Callable Objects with __call__()

9. Customizing Object Behavior with Special Methods

Lesson 12 - Properties and Descriptors

1. Understanding Properties in Python

2. Creating Properties with @property

3. Defining Property Setters and Deleters

4. Implementing Computed Attributes

5. Understanding the Descriptor Protocol

6. Implementing __get__(), __set__(), and __delete__()

7. Understanding Data and Non-Data Descriptors

8. Using Descriptors to Manage Attribute Access

Lesson 13 - Composition and Object Relationships

1. Understanding Composition in OOP

2. Creating Objects Within Other Objects

3. Modeling Relationships Between Classes

4. Understanding Composition and Inheritance

5. Implementing Object Collaboration

6. Designing Loosely Coupled Classes

7. Improving Code Reusability Through Composition

Lesson 14 - Iterators and Iterable Objects

1. Understanding Iterables and Iterators

2. Implementing the __iter__() Method

3. Implementing the __next__() Method

4. Understanding StopIteration

5. Creating Custom Iterable Classes

6. Understanding the Iterator Protocol

7. Building Stateful Iterators

8. Using Custom Objects with Loops and Other Iteration Tools

Lesson 15 - Object Creation, Lifecycle, and Copying

1. Understanding Object Creation and Initialization

2. Exploring Object Identity and References

3. Understanding Reference Management

4. Introduction to Garbage Collection

5. Understanding the __del__() Method and Its Limitations

6. Shallow Copying and Deep Copying

7. Using the copy Module with Custom Objects

8. Understanding Object Finalization Considerations

Lesson 16 - Namespaces, Attribute Lookup, and Advanced Class Design

1. Understanding Class and Instance Namespaces

2. Understanding Attribute Lookup Rules

3. Customizing Attribute Access with __getattr__()

4. Understanding __getattribute__()

5. Customizing Attribute Assignment with __setattr__()

6. Customizing Attribute Assignment with __setattr__()

7. Exploring Dynamic Class Attributes

8. Introduction to Metaclasses

Lesson 17 - Python OOP Capstone Project

1. Defining Project Requirements and Objectives

2. Designing the Application's Class Structure

3. Implementing Classes and Object Initialization

4. Applying Inheritance and Method Overriding Where Appropriate

5. Implementing Properties and Attribute Validation

6. Organizing the Application into Modules

7. Testing Application Functionality

8. Reviewing Code Quality and Project Implementation

Lesson 18 - Dataclasses

1. Introduction to the dataclasses Module

2. Creating Classes with @dataclass

3. Defining Fields and Default Values

4. Understanding Automatically Generated Methods

5. Using field() to Customize Dataclass Fields

6. Understanding Mutable Defaults and default_factory

7. Understanding Frozen Dataclasses

8. Using Dataclasses for Data-Oriented Applications

Lesson 19 - Instance Methods, Class Methods, and Static Methods

1. Defining Instance Methods

2. Using the @classmethod Decorator

3. Using the @staticmethod Decorator

4. Understanding the cls Parameter

5. Differences Between Instance, Class, and Static Methods

6. Choosing the Appropriate Method Type

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Batch Details & Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 30 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 10 Nov 2026
Weekday Batch 16 Nov 2026
Weekend Batch 14 Nov 2026

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Want to know Today's Offer

Python OOP Certification

After completing your Python OOP training, you will receive a course completion certificate from igmGuru. It will validate your knowledge and skills to make your LinkedIn profile more strong and noticeable. Add this credential to your resume, CV, and share it in your social media to get recognized by top recruiters.

FAQs: Python OOP Training

How Long Does it Take to Learn OOP in Python?

The Python OOP Course by igmGuru takes 30 hours to complete.

Is This Course Suitable for Beginners?

Yes, our expert mentors have designed this online python OOP training, keeping beginners to OOP and Python in mind. This learning program will give you complete in-depth knowledge and skills of OOP concepts while using python. However, you need to at least have fundamental knowledge and skills in programming, Python basics, logic, and algorithms before enrolling in this course.

Will I Receive a Certificate at the End of This Course?

After going through all your live python object oriented course sessions, you will receive an igmGuru Certificate of Completion, which will validate your skills and knowledge.

Should I Include the Projects that I Have Practiced On During This Training in My Resume?

Yes, you can. igmGuru’s expert trainers only teach through job-based projects, which will definitely help you impress the interviewer during the interview process.

Who WIll Benefit from This Course?

Object-oriented has a plethora of use cases across industries worldwide. This online object oriented python course will benefit many job roles like:

Software engineers
Game developers
Data scientists
Game developers

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+91-7240-740-740

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