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Course overview

Low Level System Design (LLD)

4.9· trusted by learners

Master Low Level System Design (LLD) to write clean, extensible code and ace machine-coding interviews. Learn OOP, SOLID principles, design patterns, and 12+ real case studies with expert mentorship.

  • Hands-on, project-based curriculum
  • Live doubt-clearing sessions
  • Industry-recognised certification
  • Dedicated placement assistance
4 Months (16 Weeks) Advanced
Key highlights
  • 13 modules · 63 lessons
  • 4 Months (16 Weeks) — live cohort
  • Weekly doubt-clearing
  • Mentor-reviewed projects
  • Placement assistance
About this course

Low Level System Design (LLD) is where good engineering separates itself from syntax writing. When you sit down in an interview or face a messy enterprise codebase, the difference between code that collapses under change and code that survives is clean object-oriented architecture. You will learn to design software that is clean, extensible, and testable by transforming ambiguous product requirements into rigorous class hierarchies, applying proven design principles, and mastering machine coding rounds with confidence.

What you'll actually work on

You will build and refine complete, runnable solutions for complex domain problems using tools like Java, IntelliJ IDEA, and Git, moving far past toy examples into production-grade patterns:

  • Model a complete parking lot system supporting multiple vehicle types, payment calculators, and dynamic slot allocation using abstract base classes and composition.
  • Build a thread-safe configuration loader with Singleton and an enterprise database connection pool using Abstract Factory.
  • Implement an API response transformer using Decorator and a secure access control layer using Proxy for a REST gateway.
  • Build a multi-step checkout workflow and transaction engine using State and Command patterns with full undo-redo functionality.
  • Design a movie ticket booking engine (BookMyShow) handling concurrent seat locks, booking timeouts, and pricing tiers.
  • Build an expense splitting system (Splitwise) with exact versus percentage splits and debt simplification graphs.
  • Implement a multi-floor elevator scheduling system with custom dispatch algorithms and direction queuing.

Who this course suits

This training is built for software developers, backend engineers, and computer science graduates preparing for senior engineering roles or switching into product companies. It assumes you already know how to code in a language like Java, C++, or Python. If you have ever stared at a monolithic method that does ten things and wondered how to break it apart without breaking the rest of the application, this course gives you the exact design vocabulary and refactoring strategies to do it. It pairs naturally with our High Level System Design course for distributed architectures, our Java Full Stack Bootcamp with DSA & System Design, our MERN Bootcamp with Microservices DSA & System Design, and our Python Full stack Bootcamp with DSA & System Design. If you want to refine your core coding structures further, consult our Linked List Interview Roadmap: 41 Questions in 11 Patterns guide and our Generic Tree Interview Questions: Roadmap by Core Coding Techniques article.

How sessions and mentoring run

All cohorts run live online in interactive sessions led by working senior software engineers who evaluate codebases in production daily. You do not just watch slides; you write code under time pressure, defend your class diagrams, and participate in live code reviews. Every module includes practical assignments and mock machine coding rounds modelled on actual hiring loops at top product companies. You also get lifetime access to all session recordings and one-on-one mentorship.

The job market and engineering interviews

Engineering interviews at product companies rely heavily on the machine coding round and the low-level design discussion. Interviewers test whether you can clarify edge cases, separate responsibilities correctly, and apply SOLID principles without over-engineering. Mastering Low Level System Design (LLD) alongside data structures and algorithms gives you the complete technical toolkit required to clear senior software development engineer roles anywhere in the world.

Course details

Everything you'll learn & master

A structured curriculum with real tools and outcomes built for the workplace.

13 modules
63 lessons
14 tools
Certificate
Live course Self-paced Industry expert Academic faculty
Module 1

You can model complex domain problems into extensible object structures using polymorphism and clean encapsulation.

  1. The four pillars: encapsulation, abstraction, inheritance, polymorphism90 min
    • private fields
    • protected access
    • runtime polymorphism
    • abstract keyword
  2. Classes, objects, interfaces and abstract classes90 min
    • interface contracts
    • multiple implementation
    • abstract class inheritance
    • constructor chaining
  3. Composition versus inheritance90 min
    • has-a relationship
    • is-a relationship
    • delegation
    • fragile base class problem
  4. Coupling, cohesion and why they matter90 min
    • high cohesion
    • low coupling
    • modular design
    • dependency tracking
  5. Modelling a problem as objects90 min
    • domain noun extraction
    • responsibility assignment
    • CRC cards
    • class interaction mapping

Hands-on project: Model a robust domain model for a library catalog using abstract base classes and composition, ensuring zero tight coupling between inventory and user accounts.

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Module 13

Who teaches you

Our instructors

Every instructor here ships production code for a living and teaches the same week they deploy.

  • Ravi Tyagi — Lead AI Engineer & Generative AI Systems Engineer, Squarebrackets trainer

    Ravi Tyagi

    Lead AI Engineer & Generative AI Systems Engineer

  • Swati Tyagi — Senior Full Stack and Mobile App Developer, Squarebrackets trainer

    Swati Tyagi

    Senior Full Stack and Mobile App Developer

  • Vaishali Tyagi

    Co-Founder and Soft Skills Mentor

  • Himanshu Mudgal — Lead DevOps Engineer, Squarebrackets trainer

    Himanshu Mudgal

    Lead DevOps Engineer

Real stories

Where our learners landed.

5 learners sharing their experience

1 / 5
“

The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.

Ankit transitioned from a legacy support engineer to a high-paying product development role after completing his 6-month intensive Java and JavaScript full-stack training at our Noida campus.

Ankit Srivastava profile
Ankit Srivastava
Software Engineer · Student
Aug 2026
“

Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.

Completed the Deep Learning Course at Squarebrackets and landed a deep learning role within two months.

Pradeep Sharma profile
Pradeep Sharma
Student
Jun 2026
“

Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.

Completed the Artificial Intelligence Course at Squarebrackets and moved into an AI engineering role within two months.

Arjun Saini profile
Arjun Saini
Student
Jun 2026
“

The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.

Aniket joined Squarebrackets as a college senior looking to transition from theoretical academic projects to production-ready software development. After completing our rigorous training program, he secured a placement as an Associate Software Engineer.

AS
Aniket Sharma
Associate Software Engineer · Capgemini
Aug 2026
“

The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.

Completed the Java Full Stack live training while balancing a full-time role, upgrading engineering skills through rigorous hands-on sessions.

Harshmeet profile
Harshmeet
Student
Oct 2026
Success Stories

What our learners say

Written testimonials

Verified

“The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.”

Ankit Srivastava

Ankit Srivastava

Software Engineer, Student

Verified

“Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.”

Pradeep Sharma

Pradeep Sharma

Student

Verified

“Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.”

Arjun Saini

Arjun Saini

Student

Verified

“The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.”

Aniket Sharma

Associate Software Engineer, Capgemini

Verified

“The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.”

Harshmeet

Harshmeet

Student

Trusted by teams

Companies our learners work at

Xebia
Tata Consultancy Services (TCS)
HCL Tech
Redbus Industrial Training
Genspark
L'Oréal
Microtek Learning
UST Global
Muoro
Frequently asked

Got questions?
We've got answers.

Browse the common questions, or reach out and our team will help you directly.

This course is built for software engineers and computer science graduates preparing for senior engineering roles or product company interviews. You should be comfortable writing code in an object-oriented language like Java, C++, or Python. It bridges the gap between raw coding and maintainable architecture.

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