
[Free] Object Oriented Programming &Amp; Solid Principles In Python
Master OOP & SOLID Principles in Python | Build foundation for LLD Interviews | Get Interview Ready with FAANG Engineers – Free Course
What you’ll learn
- Core OOP concepts such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction
- Understanding and applying SOLID principles for better software design
- Writing reusable and modular code using best practices
- Real-world coding exercises to reinforce key concepts
Requirements
- Some programming experience – Prior experience with any programming language is helpful but not mandatory.
- A computer with Python installed – You need a working installation of Python 3.x and a code editor (VS Code, PyCharm, or Jupyter Notebook).
- Willingness to learn – This course is structured to help you understand Object-Oriented Programming from the ground up, so a logical mindset and curiosity to learn will be beneficial.
Description
Master Object-Oriented Programming & SOLID Principles in Python
This course is designed to help you build a strong foundation in Object-Oriented Programming (OOP) using Python, along with mastering SOLID principles to write clean, maintainable, and scalable code. Whether you are a beginner or an experienced developer looking to refine your skills, this course will guide you through practical examples and real-world scenarios.
What You Will Learn:
Core OOP concepts such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction
Understanding and applying SOLID principles for better software design
Writing reusable and modular code using best practices
Real-world coding exercises to reinforce key concepts
Debugging and refactoring techniques to improve code quality
How to structure Python applications following industry standards
Who Should Take This Course?
Beginners who want to learn Object-Oriented Programming with Python
Developers who want to write structured, flexible, and scalable code
Engineers preparing for coding interviews and system design discussions
Anyone looking to improve their understanding of software design principles
Programmers transitioning to Python from other languages
This course is structured with clear explanations, hands-on coding exercises, and industry-relevant examples. By the end, you will be able to design and develop Python applications that follow best practices and professional coding standards.
Author(s): Sweet Codey, Rohit Jain | SDE-2 @ Amazon, Shubham Chandak | Bloomberg Engineering, Suresh Gandhi | SDE-II @Microsoft, Ex-Amazon








