Coding

Object Oriented Programming

Build a solid understanding of Object-Oriented Programming in Python in this 8-hour live course, where you'll learn to design scalable, modular programs and develop coding skills essential for advanced Python and Machine Learning applications.

PythonProgrammingAI-ML

What You'll Learn

Master the core principles of Object-Oriented Programming using Python.
Design and build programs using classes, objects, attributes, and methods.
Implement inheritance, polymorphism, encapsulation, and abstraction effectively.
Write clean, modular, reusable, and maintainable Python code.
Understand how Object-Oriented Programming is applied in AI and Machine Learning projects.
Develop the confidence to solve programming problems using an object-oriented approach.

Course Curriculum

6 modules · 6 lessons
Class & Objects

Requirements

  • Python
  • Basic Coding Skills

About This Course

Object-Oriented Programming (OOP) is one of the most important programming paradigms in modern software development and forms the backbone of large-scale applications, Artificial Intelligence, Machine Learning frameworks, web applications, and enterprise software. Mastering OOP enables students to write clean, organized, reusable, and maintainable code while developing the problem-solving skills required for advanced programming and real-world software development.

This mentor-led course has been carefully designed for students who already have a basic understanding of Python and are ready to take the next step in their programming journey. Rather than simply learning OOP terminology, students gain a deep understanding of how objects interact, how software is structured, and how professional developers design scalable applications. Every concept is taught through clear explanations, visual examples, live coding sessions, and hands-on programming exercises that reinforce learning throughout the course.

Over the course of 8 hours, students will master the core principles of Object-Oriented Programming in Python, including classes, objects, constructors, attributes, methods, encapsulation, inheritance, polymorphism, abstraction, method overriding, and Python's special (dunder) methods. Students will also learn how these concepts are applied to build modular programs and why Object-Oriented Programming is widely used in Artificial Intelligence and Machine Learning projects to organize code, improve reusability, and simplify the development of complex systems. By the end of the course, students will be able to confidently design and implement object-oriented programs while establishing a strong foundation for advanced Python programming and Machine Learning.

8
video lesson
6
pdf notes
5
Quizzes
5
Question sets
12
Months access

Your Instructor

J

Jatin Jain

AI & ML Expert

Jatin is an AI & Machine Learning educator dedicated to helping students build strong programming and computational thinking skills. He specializes in making complex technical concepts simple, practical, and engaging for beginners. His goal is to prepare students with future-ready skills in Python, AI, and modern technology.

What Students Say

"The explanations are crystal clear and the practice questions are very similar to the real exam. Highly recommended!"

David R.

"The notes are incredibly detailed. The instructor breaks down complex topics in a very understandable way."

Sophie L.

"Well structured and easy to follow. I went from failing practice tests to scoring in the top 5%."

Ethan W.

$399.00