Low Level Design (LLD): Using Python

Design Real-World Systems with LLD, OOP, SOLID & Design Patterns in Python

Are you preparing for LLD/System Design interviews at top tech companies?
Do you struggle to convert real-world requirements into scalable class designs and OOP models?
Want to strengthen your object-oriented design skills using Python?

What you’ll learn

  • Master OOP Concepts in Python.
  • Understand the Core Principles of Low-Level Design.
  • Design Scalable and Maintainable Class Structures.
  • Apply SOLID Principles in Real-World Scenarios.
  • Implement Design Patterns Using Python.
  • Translate Functional Requirements into Class Designs.
  • Creational Design Patterns.
  • Structural Design Patterns.
  • Behavioral Design Patterns.
  • LLD Interview Questions.
  • Ace LLD Interviews with Confidence.

Course Content

  • Introduction –> 4 lectures • 6min.
  • OOPs –> 10 lectures • 1hr 43min.
  • SOLID Design Principles –> 6 lectures • 47min.
  • UML Diagram –> 1 lecture • 6min.
  • Creational Design Patterns –> 6 lectures • 1hr 32min.
  • Structural Design Patterns –> 8 lectures • 18min.
  • Behavioral Design Patterns –> 10 lectures • 1min.
  • LLD Interview Questions –> 1 lecture • 1min.
  • Conclusion –> 1 lecture • 2min.

Low Level Design (LLD): Using Python

Requirements

Are you preparing for LLD/System Design interviews at top tech companies?
Do you struggle to convert real-world requirements into scalable class designs and OOP models?
Want to strengthen your object-oriented design skills using Python?

 

Welcome to “Low-Level Design (LLD): Using Python”  your complete guide to mastering object-oriented system design and cracking LLD interviews with confidence.

 

What You’ll Learn

 

  • Core OOP concepts (encapsulation, inheritance, polymorphism, abstraction) applied to real-world problems
  • SOLID principles and how to implement them in clean, maintainable code
  • Popular design patterns like Factory, Strategy, Singleton, and more using Python
  • Class modeling, UML design, and converting requirements into code
  • When to use composition vs inheritance
  • How to approach LLD interviews: step-by-step system design, responsibilities, relationships, extensibility
  • Hands-on LLD projects like Parking Lot, ATM Machine Systems, Splitwise App, etc

 

Who This Course Is For

 

  • Python developers looking to level up their design skills
  • Students & professionals preparing for LLD/System Design interviews
  • Backend engineers aiming to write more modular and scalable code
  • CS undergraduates who want to build project-ready OOP skills
  • Bootcamp grads and self-taught devs breaking into software engineering roles

 

Why Learn Low-Level Design?

The high-level design gives the big picture but the low-level design is what you actually implement. It’s what makes your code readable, extensible, and interview-ready. This course bridges the gap between data structures and real-world system design.

 

By the end of this course, you’ll be able to:

 

  • Confidently solve LLD problems in interviews
  • Write production-quality object-oriented Python code
  • Architect backend modules that are clean, flexible, and maintainable
  • Understand and apply LLD in real-world software development

Are you ready to build scalable systems and ace those interviews?

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