Data Structure, Algorithm, Problem Solving & System Design Course(HLD+LLD)

Crack Tech Interviews at MAANG and Top Product based companies

Live Interactive Classes

Sign up in the best Data Structure, Algorithm & System Design online course in India with Placement. Learn from experts and get industry exposure.

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Weekend Live Classes - Batch Starts from 8th June

7 Months

Online Live classes

Live Interactive Classes

Weekend Batch

8th June 2024

Batch Starts on

EMI 3,200/month

Easy No cost EMIs

Learn from top industry experts with live online classes

Shape your Career in a better way

Live Interactive Sessions

Learn from top industry experts with
live online classes.

Build Work Experience

Learn DSA & Scalable System Design skills, develop projects from scratch
Build better experince.

Land your Dream Job

Get referrals, crack multiple interviews
land in your dream job.

Program Feature Of

Cracking the Coding & System Design (HLD + LLD) Interviews

Course eligibility

This course is primarly designed for working professionals. Talk to our experts for profile review before joining

Flexible Course

Attend multiple batches with multiple trainers along with lifetime access to the course content.

Live Classroom Program

Personalized programs with Live classes from industry experts and 1:1 doubt clearing sessions.

Placement assistance

Job Assistance program for our candidates being regular with classes.

Land in your dream job with real work experience

Learn from FAANG companies
Experts & Transform your Career

What you’ll learn in first 4 months

Time Complexity

Learn fundamentals of programming and understand time complexity.

Array, String and Linked List

Master array, string and linked list and implement real time project on Git and GitHub.

Stack and Queue

Learn fundamentals of programming of stack and queue and its useage.

Hashing & Heap Sort

Learn fundamentals of programming the hashing/heap sort in very simpler way.

OOPS Concepts & Design

Learn fundamentals concepts of OOPs and use it real projects.

Competitive Programming

String based and mathematical competitive programming practise,Hackerank, Hackerearch Practise in Live classes

Binary Tree, N-ary Tree, Segment Tree etc

Learn fundamentals of binary tree and N-ary tree and use it project/assignements.

Greedy Algorithm

Learn all about building responsive websites using HTML5 and CSS3; discuss key HTML5 APIs and their use cases.

Backtracking & Recursion

Learn fundamentals of programming the world-wide web and its key stakeholders.

Graph Theory

Learn fundamentals of programming the world-wide web and its key stakeholders.

Dynamic Programming

Learn fundamentals of programming the world-wide web and its key stakeholders.

Advanced Data Structures

Complete Advanced data structures like Trie, Suffix Tree, Suffix Tree, ternary search trees etc

Real Time System Design Discussions

Learn real-time system design from industry experts, and use your learning expertise in the course by designing system from scratch with HLD & LLD. Also, it enhanced your resume with good expertise in the design & implementation of real-time system.
  • Engage in collaborative real time system design discussion with student-mentor interaction
  • Learn faster in-person through guidance from expert mentors
  • Personalized subjective feedback on your submissions to facilitate quick improvement

BookMyshow Service Design

This is a beginner-friendly scalable real-time system using distributed system concepts. You will learn how to design with HLD/LLD a ticket booking system that supports synchronization. ...Scalable user interaction and payment gateway integrated into the system. End to end complete flow implementation of this system

Design Tiny URL

Design and Implementation of a system of TinyURL where URL shortening is used to create shorter aliases for long URLs. This is scalable system which can access by billions of users at the same time. ...Your system accepts the concurrent request from millions of ustomers and process their request with minimum latency and high efficient system


Data Structure and Algorithm course curated by leading faculties and industry leaders to provide pratical learning experience with live interactive classes and projects.

  • • Order complexity analysis
  • • What is Big 0 Notation, how to use it with various examples.

What is space & time complexity, examples to find out space time complexity

  • • Understanding Average, Best and Worst case of various programs.
  • • Analysis of Loops, Time Complexity of Loop with Powers

More complex examples which involves multiples exponential loops .

  • What is recursion, how to analyse recursion in call stacks .

  • • Understanding code flow of recursive call with examples

  • • Difference between recursive and iterative approaches
  • • Find space complexity of recursive calls.

  • • More Complex examples involve recursion calls,

  • Understanding the Array computations with examples .
  • Implementation of Array problems

  • Why do we need arrays ?
  • Array Advantages And Limitation over other data structures

  • Matrix related Problem(2-D array)
  • Minimum Window Substring
  • Two pointers approach etc

  • Linting, formatting, understanding Python code,
  • Array problems involves searching
  • Array sorting efficient algorithms

  • Discussion of Top product companies interview questions based on Array

  • Most asked interview question are based on strings.
  • How to efficiently solve strings problems

  • Tricks of solving the strings problems techniques
  • Two pointers tricks, window based problems etc

  • Discussion of Top product companies interview questions based on String

  • Linked List creation implementation
  • Adding,deleting and finding specific nodes

  • Implementation of Doubly linked list
  • Implementation of Circular linked list
  • Problems based on DLL, Circular LinkedList.

  • Merge two sorted linked lists, merge sort of a linked list
  • Reversing a linked list, k group Linked List etc

  • Discussion of top product companies interview questions based on DLL, LinkedList

  • Introduction to Trees.
  • Making a tree node class
  • Tree traversals
  • Destructor for tree node class

  • Balanced Trees, How to maintain Tree Balance
  • Self-balancing tree

  • In Order, Pre and Post-Order using recursion
  • Problems based on Binary Tree traversal
  • What Is a Binary Search Tree Used For?
  • Left view, right view, bottom view of binary tree etc

  • Discussion of Top product companies interview questions based on Binary tree

  • Introduction to Binary Search Trees
  • Searching a node in BST
  • Inserting and Deleting nodes in BST
  • Types of balanced BSTs

  • Discussion of Top product companies interview questions based on BST

  • B Tree, B+ Tree & Threaded binary tree
  • AVL Tree, Segment Tree
  • N-ary Tree and Problems

  • Discussion of Top product companies interview questions based on Advanced tree

  • Operations on Stack LIFO operation.
  • Applications & implementation of Stack Data Structure

  • Valid parenthesis, find next greater element, prefix, postfix etc

  • Complex problems of stack

  • Discussion of Top product companies interview questions based on Stack LIFO operation

  • Operations on Queue FIFO operation.
  • Applications & implementation of Queue Data Structure

  • Discussion of Top product companies interview questions based on Queue

  • Applications & implementation of Circular Queue Data Structure

  • Discussion of Top product companies interview questions based on Queue FIFO operation
  • Medium to Advanced set of problems discussion

  • Implementation of Priority Queue using various data structures
  • Insert, delete, peek operation in priority queue
  • Binary Heap Time Complexity of building a heap
  • Applications of Heap Data Structure

  • Min heap, Max heap implementation
  • Interview problems based on Min/Max Heap
  • Basic heap operation, Heapify operation implementation

  • Discussion of Top product companies interview questions based on Heap & Priority Queue

  • Hashing DS, Hash table, hash function.
  • Double hashing, probing
  • Insert, delete & search in hash in O(1) time

  • Top k elements, Smallest subarray, word count etc
  • Product companies Hashing interview questions

  • Implement LRU, various problems on LRU

  • Discussion of Top product companies interview questions based on Hashing

  • Graph and its representations.
  • Undirected Graph, Directed Graph, Connected Graph etc

  • Graph implementation of Adjacency List
  • Adjacency matrix representation of Graph

  • DFS implementation, Application
  • BFS implementation , Application

  • Medium to Advanced interview questions on BFS & DFS

  • All types & implementation of Shortest Path Algorithms
  • Single-Source Shortest Paths in Directed & Undirected graph

  • Trie Data Structure - Explained with Examples.
  • Why use Trie Data Structure?

  • Insert in Trie
  • Search in Trie
  • Trie Applications

  • Word search, Longest Common Prefix, Words in dictionary etc

  • Suffix Tree Introduction
  • Search a pattern using the built Suffix Array
  • Longest common prefix of two substrings
  • Finding the longest repeated substring
  • Pattern searching

  • Representation of ternary search trees
  • Applications of ternary search trees

  • Representation of ternary search trees
  • Applications of ternary search trees

  • Representation of Segment trees
  • Construction of segment tree from array
  • Interview questions of segment tree

  • Discussion of Top product companies interview questions based on Advanced DSA

Program highlights

  • 200+ Hours Live sessions
  • 3+ Projects
  • 1:1 Doubt Session
  • 1 Year Subscription
  • Life time accessibility
  • Job Assistance Program
  • Peer to peer Learning
  • Mock Interview


Advance system design course curated by leading faculties and industry leaders to provide pratical learning experience with live interactive classes and detail design.

  • • Techniques to start discussing the problem statement scope
  • • Define all design constraints in the system
  • • Finalizing the scalability, the system will support

  • • System capacity/size estimation with number of users access it
  • • Finalizing the target environment (Tools, library or open sources)
  • • Concise the problem, support the scalability

  • • Identify system level REST API to access the recourses.
  • • Define parameters, return types JSON
  • • Finalize read/write/delete/paste API possible in the system

  • • Identify all the data models & business logic involved in backend
  • • Identify all functional/Non-functional components involved
  • • Finalize state machine, service layer & interfaces

  • • Check reliability and redundancy
  • • Components required to make low latency system
  • • Database finalization, Metadata Sharding etc.

  • What is recursion, how to analyse recursion in call stacks .
  • Distributed Hash Table, LRU, In-memory Data Lookup.
  • Memcache, Read-Through, Write-Through Cache .

  • DNS, http/https, Dos, web server, abstraction layer
  • Scheduling algo, Round robin, FCFS
  • One to many, many to one communication

  • Vertical scaling, Horizontal scaling, which is better
  • Data Partitioning, Partitioning method.
  • Heartbeat, Checksum, encoding vs decoding methods, SSL

  • Synchronous asynchronous communication services
  • Publisher subscription model, MQ client/publisher
  • Proxy/No proxy load balancer configuration

  • • DNS mapping, Namespace server configuration
  • • Encryption, authentication & authorization, https header
  • • Deploy Zookeeper cluster in a distributed environment

  • How system can achieve CAP
  • CP, AP, CA system examples
  • Consistency, Availability in databases, NoSQL

  • Distributed query processing, transaction management .
  • In Memory Databases, Caching in a distributed system
  • Event queue, fault tolerance, Consistent hashing

  • Load balancer in cloud computing, AWS
  • Content delivery network(CDN), reduce Latency
  • Reducing bandwidth, Increasing content availability and redundancy

  • Push, Poll architecture, pooling, webhooks
  • Polling and Streaming, Long pooling, webSocket

  • Master slave architecture, Leader Follow Architecture
  • Message ordering in pubsub, Kafka, ActiveMQ

  • Database sharding, replication, Key/space DB
  • Sharding architectures and types
  • Data integrity and non-repudiation, digital signature
  • Horizontal/vertical partitioning, partitioning vs sharding

  • Design video streaming service YouTube/Netflix

  • Design TinyURL Service with scalable HLD and LLD design

  • Design Ride sharing service Uber/Ola

  • Design Online Search engine and there page ranking & web crawler features architecture.

  • Design System with geolocation mapping system

  • Design Newsfeed Service in Facebook

  • Design Twitter like social networking service & its tweet search features

  • Design Instagram social networking service

  • Design API Rate Late Limiter

  • Design WhatsApp/Facebook Chat Service

  • Design Mailing service Like Gmail/Yahoo

  • Design System that supports Event Based Architecture

  • Design Calendar booking service like Google Calendar

  • Design Railway reservation system Like IRCTC

  • Design Online bus booking system like RedBus

  • Design Online ticket booking system like BookMyShow

  • How microservice architecture is better than monolithic architecture
  • Event-driven architecture, microservice architecture introduction

  • Design patterns for Microservices

  • Migrate a monolithic application to microservices

  • Load Balancer, Distributed Tracing
  • Monitoring, heartbeats, index server, load balancer
  • Scalable web applications, Stream processing

  • Fault tolerance, Service Discovery
  • API gateway , Auto-Provisioning, Resilient Services
  • Database Design in a Microservice Architecture

  • Single-Responsibility Principle.
  • Open-Closed Principle
  • Liskov Substitution Principle
  • Interface Segregation Principle
  • Dependency Inversion Principle

  • Design & implement Singleton Design Pattern

  • Design & implement Factory Design Pattern

  • Design & implement abstract factory design pattern

  • Design & implement Observer Design Pattern

  • Design & implement Strategy Design Pattern

  • Design & implement Decorator Design Pattern

  • Design & implement Adapter Design Pattern

  • Container, Images, Use configs with a Nginx service.
  • Configuring Docker environment, create Docker image

  • Connect & connect to EC2 instance using SSH

  • Managing Container with Docker Commands

  • Running Web App in docker container

  • Deployment App using docker-compose

  • MySQL, SQL joins, SQL queries etc.
  • Normalization, Persistence, ACID property

  • Key-value stores, such as Redis and DynamoDB
  • Document databases, such as MongoDB and CouchDB
  • Wide-column databases, such as Cassandra and HBase
  • Graph databases, such as Neo4J and Infinite Graph

  • Scalability, Low Latency, Fault Tolerant
  • Cassandra vs MongoDB vs Redis
  • Uses and application of Cassandra
  • Uses and application of MongoDB
  • Uses and application of Redis
  • Uses and application of Memcached
  • Uses and application of DynamoDB

  • Big Data Architecture, Database Sharding
  • Database Scaling – Horizontal vs. Vertical
  • Database Read Replicas, Database Caching

  • Data partitioning using simple hashing, Znodes
  • Architecture, Hierarchical namespace, Session, Watches

  • Data storage: Redis vs Memcached
  • How Redis scales, How Redis achieves persistence
  • How Memcached scales
  • Which is better: Redis or Memcached

  • Distributed queues and topics
  • How does ActiveMQ work ?
  • Features of ActiveMQ, RabbitMQ
  • Deployment, Synchronization methods, Messaging Techniques

  • Kafka streams using AWS cloud
  • Installing and running spring kafka, topics, producers
  • Kafka Streams project, RESTful application Kafka
  • Apache spark Query Execution
  • Handling Data Skew in Spark Joins
  • Data Caching in Apache Spark

Program highlights

  • 85+ Hours Live sessions
  • Scalable System Design
  • 1:1 Doubt Session
  • 1 Year Subscription
  • Life time accessibility
  • Job Assistance Program
  • Peer to peer Learning
  • Mock Interview

High demand for software developer profile across all product companies in the world

Enhanced your salary 8X just by learning DSA & System Design techniques


Average Annual
Base Salary (2020 - 2024)


Salary Growth
Annual (2020-2025)


Software Developer
Job Listings Growth,
Annual (2019-2024)

Career Impact

> 50%

of all jobs in the top income quartile show significant demand for coding skills

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Experience Certification

Participate in projects to earn a certificate of project experience. Additionally, begin preparing for your desired job.

  • Step by step program for gradually enhancing coding skills up to the level of FAANG companies.
  • Learn from experts in live interactive classes, practice problems with the like-minded people
  • Get placed in product companies after completing comprehensive training of Data structures & Algorithms from Bangalore's leading institute. Also, boosting your confidence to appear in MNC interviews.

Apply For Live Classes

How Logicmojo stands out

The strong-points of Logicmojo

  • We have a free trial live session for all candidates before joining starting the batch.
  • Clarify all your queries during the F2F session from your mentor before attending the course.
  • You don't need to pay the amount in one go. We have a flexible plan available where users can join the course in EMI options of 3 month/6 months/1 year plan with no interest.
  • Free profile/resume review from our Counsellor before joining the batch. Eligible candidates can join the batch.
Apply For Live Classes

Live Demo Session For 8th June Batch

  • DSA, Problem Solving & System Design
    7 months Course

    Live Classes Will Start From 8th June.This is a Live Demo Session For Upcoming Batch. Initial 4 months We Focus on Data Structures, Algorithms & Problems Solving Part Where We Prepare Candidates For MAANG Companies Coding Interviews Rounds

    After Completion of the 4 Months Coding Part then Next 3 Months. We Focus on Scalable System Design Part, Archirectures & Internal Design of Many Scalable System Model with HLD + LLD. We prepare Candidates for System Design Rounds.

  • Mentor - Ranjan Kumar

    Senior Developer, Working in Amazon Seattle(US), Ex-Microsoft
    Ranjan is currently working in Amazon at Seattle(US) as a Senior Developer, He also has relevant teaching experience. He focus more on techniques of solving problems and tricks to solve any coding problems.He worked with multiple top product organizations as a Senior Developer role such as Microsoft as well as Amazon. Ranjan has completed a Master's from Stony Brook University. Ranjan will be tutoring the candidates for the upcoming batch starting the 29th of July.

    How to apply?

    Follow these 3 simple steps to the admission process.

    Attend Free Demo Session

    Have live session with your mentor

    Talk to Expert

    Schedule on call with Counsellor

    Ask any query before joining

    Get Started

    Join online live session

    program by enrolling

    Upcoming Cohort Deadline

    The admission closes once the required number of applicants enroll for the upcoming cohort. Apply early to secure your seats and get started on your professional artificial intelligence and machine learning training.

    8th June 2024
    Apply Now

    Course Fee

    Pay Monthly
    Pay on a monthly basis up to 12 months

    Pay Monthly
    Pay on a monthly basis up to 6 months
    Pay At One Go
    One Time Payment
    USD 52000
    Connect with Counsellor for Discount

    Got Question regarding next cohort date?

    Data Structures & Algorithms Course FAQs

    Live Interactive Course


      You can attend a free demo class from your mentor before joining the course. This session will go around 90 min of duration. You can clarify all your doubts during this live demo session before joining the batch.

      We offer fully online classes via live sessions due to the outbreak. That means you can talk to your instructor in real-time, just like a traditional face-to-face session. Additionally, at this time, all practical sessions of our data structures, algorithms & problem solving course will be conducted using cloud-based services.

    Firstly, we offer live online classes for our Data Structures, Algorithms & Problem solving course. Also, all of our students have access to recorded versions of those classes. In addition, we also give you unlimited access to these recorded sessions, so you can go back to them whenever you need theoretical help for your interview preparation. As a result, you need not be disappointed if you miss any of the live classes under our online training. However, we strongly advise you to participate in all live classes.

    Most importantly, if you do not understand an entire module under the DSA live course, you can repeat the same class with another batch. Thus, leaving no chance for you to remain in confusion about the learning modules.

    After completion of the demo class, we offer 15% early bird discount for the next 10 days. If you join within 10 days after the demo class, you will be eligible for a discount.

    • Weekend Classes : 3 hours (Saturday & Sunday)
    • Duration: 4 months

    Job Assistance program is available for all candidates being regular with classes. Be attentive with regular classes & solve all assignments. After completion of the course, you will be eligible for the job referrals program

    What People Say

    How it has helped them accelerate their careers to the next level.


    Siddharth Pande

    Full Stack Developer
    One of the Best Resources for Learning DSA & Design. Logicmojo Course Helped me Multiple Times During Interview Preparation For Companies like Walmart, Oracle, and Microsoft. No Need of Any Other Online Materials.

    Anjani Kumar

    Software Development Engineer - 1
    Very Well-arranged Course and its Amazing Lecture Delivery by Trainers. Expert Team is always Available to solve Any Technical Queries. Logicmojo Live Preparation Training Helps me to Crack Zynga and Now Amazon Interview.

    Afnaan Rafique

    Software Engineer 2
    I have a very great experience with Logicmojo. Learning by doing is a great way to learn something which Logicmojo team encouraged me to do so. The course has a big contribution to my success.

    Piyush Mittal

    Senior Developer
    The Course Curriculum is of the Best Quality Along with the Best Learning Experience from my Tutor. Best Course to Prepare For MAANG Companies Interview. I Cracked Paytm, Adobe, Intuit, and Microsoft. Finally Joined Microsoft

    Diwakar Choudhary

    Staff Engineer/Manager
    Excellent Course for Interview Preparation, Very Straight to the Point ,In-Depth Coverage of Every Point in Live Classes. Speecially Focus on Practical Implementation of Every Coding & Architectiral Problems.

    Priya Singh

    Senior Software Engineer
    The Course Curriculum is of Best Quality Along with Good Coding Problems that Discussed in the Class. Materials are Helpful even After Completion of the Course.

    Rajnish Kumar

    Staff Engineer
    Great course! Definitely helped me open some new doors in understanding how algorithms work and implementing solutions for the different exercises. Live Courses are recommended for Working Professionals.

    Aravindo Swain

    Software Engineer - II
    I Would say the Best Part is the Explanation by the Trainer, Concise and Clear. Great Quality of Online Materials and Classes, It Covers all Algorithms and System Design Problems asked During Interviews
    View more reviews

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