Teach on Udemy

Turn what you know into an opportunity and reach millions around the world.

Learn More

Your cart is empty.

Keep shopping

Mastering Python Object-Oriented Programming: Generative AI

Name: Mastering Python Object-Oriented Programming: Generative AI
Rating: 4.8 (29 reviews)

Advance Your Python OOP Skills like Inheritance to Create Smarter Apps Using Generative AI Techniques : Code Reusing

Created byMetla Sudha Sekhar

Last updated 1/2026

English

English [Auto],

What you'll learn

Master Principles And Understanding Of Object Oriented Programming In Python
Learn About 4 Pillars Of Object Oriented Programming!
You Will Learn How To Reuse Code For New Projects Implementations
Participate on Coding Exercises to test your real time learning skills
Implement real-world AI projects using Generative AI techniques
Apply OOP to build intelligent systems with OpenAI ChatGPT, and other free AI tools
Understand how to structure Python code for automation, scalability, and performance
Learn how to boost productivity and save time using AI-driven platforms

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

11 sections • 50 lectures • 4h 49m total length

Introduction3:16
Master Python object oriented programming using generative AI to create classes and methods, build source code, and practice with hands-on sessions and prompts.
Getting started on Windows, Mac or Linux1:25
Choose your comfortable operating system—Windows, Mac, or Linux—and start learning advanced Python programming with generative AI tools to quickly implement code across diverse environments.
How to ask great questions1:51
Learn to ask great questions by first attempting solutions, then using Google, generative AI prompts, and Stack Overflow with error screenshots for fast, problem-oriented Python code.
FAQ’s1:34
Outline prerequisites for mastering Python object-oriented programming with generative AI, covering basic fundamentals, variables, loops, and prompting techniques with source code demonstrations.

Why python popular in coding4:42
Explore why python is popular in coding, highlighting its readability, simplicity, and easy-to-learn syntax. Leverage its extensive libraries and frameworks for data science, ai, machine learning, and web development.
Get and Installing Python software7:06
Code editor IDE (PyCharm) installation12:23
Install the PyCharm community edition to set up a cross-platform Python IDE for code development. Highlight features like code analysis, a graphical debugger, integrated unit tester, and version control integration.
Getting Start PyCharm IDE and futures8:28
First Python Hello World program5:04
Learn to write and run a first Python hello world program in PyCharm, create welcome.py, and verify a successful output with exit code zero while configuring your local development environment.

Overview of Object-Oriented Programming11:42
Understanding classes and objects6:30
Advantages of OOP over procedural programming3:22
explores the advantages of object-oriented programming over procedural paradigms, highlighting encapsulation, abstraction, inheritance, and polymorphism to promote modularity, reusability, and maintainable code.
Principles of OOP: encapsulation, and inheritance3:45
Principles of OOP: polymorphism, and abstraction5:46
A Complete Cheat Sheet Guide on Python Object-Oriented Programming - Download0:02
Download this Complete Cheat Sheet Guide on Python Object-Oriented Programming, and start practicing Hands-on sessions with this quick reference notes
Quiz on Python Classes

Defining classes and creating objects24:01
Define Python classes and create objects to model real entities, using an init constructor, self attributes, and public methods to display information across multiple instances.
Class attributes and instance attributes9:36
Define and use class attributes and instance attributes in a Python dog class, showing how class attributes are shared across instances while each object stores its own name and age.
Class methods vs. instance methods5:49
Special methods (dunder methods) in Python classes4:48
Python Class and class method Assignment

Understanding inheritance and its types4:06
Use ChatGPT to learn single inheritance11:23
Learn single inheritance in Python by generating an animal parent and a dog child class with ChatGPT, where the dog inherits speak and defines bark.
Use ChatGPT to learn multiple inheritance4:41
Learn how to implement Python multiple inheritance by combining two parent classes into a child, explore method resolution order, and reuse parent methods through a concrete example.
Use ChatGPT to learn multilevel inheritance7:25
Use ChatGPT to learn hierarchical inheritance6:09
Coding Exercise on Inheritance1:54
Solution for Coding Exercise on Inheritance4:08
Quick Reference Notes on Coding Exercise with Source Code0:02
download this reference note on Inheritance exercise with source code
Inheritance - Python Coding Exercise

Understanding polymorphism and properties5:23
Explore polymorphism in Python by comparing static and dynamic polymorphism, including method and operator overloading, and understand method overriding and the role of properties with getters and setters for encapsulation.
Method overriding and method overloading2:19
Use ChatGPT to learn Polymorphism implementation7:25
Use ChatGPT to learn method overriding in python7:03
Use ChatGPT to learn method overloading in python10:33
Polymorphism - Python Coding Exercise

Understanding Access modifiers, attributes and methods4:28
Use ChatGPT to learn public modifiers6:37
Use ChatGPT to learn private modifiers8:35
Learn how Python private modifiers use double underscores for attributes and methods, apply name mangling to prevent outside access or subclass access, and expose data only through public methods.
Use ChatGPT to learn protected modifiers6:27
Understand protected modifiers in Python: a single underscore marks a member as protected by convention, accessible within a class and its subclasses but discouraged outside.

Requirements

You Should Be Familiar With Basic Python Fundamentals
No prior AI experience needed, You will learn everything you need to know on OOPs
No programming OOPs experience needed. You will learn everything you need to know
A computer with internet access

Description

Are you ready to take your Python skills to the next level and dive into the world of Generative AI? This course, Mastering Python Object-Oriented Programming: Generative AI, is designed to help you build powerful, modular, and scalable applications using Python’s OOP capabilities — with a focus on applying them to real-world AI projects.

In this hands-on course, you’ll start by mastering the core pillars of Object-Oriented Programming in Python, including classes, objects, inheritance, encapsulation, polymorphism, and abstraction. Then, you’ll learn how to apply these concepts using free generative AI tools to build intelligent applications such as AI writers, chatbots, and more.

This course is ideal for intermediate Python learners, developers, and AI enthusiasts who want to understand how to build smarter software using OOP and modern AI technologies. You’ll work on practical projects that combine clean code architecture with AI functionality — giving you skills that are highly valued in today’s tech industry.

Whether you're a Python developer, data science enthusiast, or AI beginner, this course bridges the gap between traditional programming and next-gen AI development. You’ll learn how to design clean, reusable, and modular code structures and bring them to life in real-world Generative AI projects using free tools like OpenAI APIs, and Python libraries.

By the end of this course, you’ll not only have a solid foundation in Object-Oriented Programming, but also the ability to implement AI-powered features such as text generation, summarization, and more. The course includes hands-on coding exercises, project-based learning, and real use cases to ensure practical understanding.

update: learn to know top ai tools for every professional for productivity

This is the ideal course if you're looking to upgrade your Python skills, improve your software design practices, or break into the growing field of Generative AI development. It’s also perfect for developers who want to future-proof their coding skills by learning how OOP principles support AI scalability and maintainability.

Enroll now and take the next step in your Python journey. Start building real-world AI solutions with confidence — using Object-Oriented Programming and the power of Generative AI.

Who this course is for:

Master Python OOP using Generating AI like ChatGPT
Beginner Python developers curious about data science and AI
Anyone who want learn Python skills on Object Oriented Programming (OOPs)
Anyone who want to grasp the concept with real world example coding
Anyone who wants to become a Full stack web developer with AI
Anyone who wants to become independent programmer

Mastering Python Object-Oriented Programming: Generative AI

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction4 lectures • 8min

Introduction to ChatGPT Gen AI6 lectures • 30min

Python Setting up Local Development5 lectures • 38min

Cheat Sheet Guide on Python Object-Oriented Programming - notes1 lecture • 1min

Introduction to Object-Oriented Programming6 lectures • 31min

Python Classes and Objects4 lectures • 44min

Using ChatGPT Gen AI to Learn Inheritance8 lectures • 40min

Using ChatGPT Gen AI to Learn Polymorphism5 lectures • 33min

Using ChatGPT Gen AI to Learn Secure coding4 lectures • 26min

Encapsulation and Abstraction5 lectures • 31min

Requirements

Description

Who this course is for: