Complete DSA & System Design Course

Preparation for MAANG Interview Level

98%

Success Rate

13500+

Successful Placements

7

Month Program

Live Weekend Classes

Mock Interviews

Industry Expert Instructors

Resume Building

Project-Based Learning

Placement Support

Join 12500+ students who transformed their careers
Next batch starts May 15, 2025 – Limited seats available!

quickSort.js
if (arr.length <= 1) {
  return arr;
}
const pivot = arr[arr.length - 1];
const left = [];
const right = [];
for (let i = 0; i < arr.length; i++) {
  if (arr[i] < pivot) {
    left.push(arr[i]);
  } else {
    right.push(arr[i]);
  }
}

Original:

8
4
7
1
5

Sorted:

1
4
5
7
8

Get placed in

Microsoft Google Amazon Meta Apple Adobe Intuit

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

Apply For Live Classes

Learn from FAANG companies
Experts & Transform your Career

Apply For Live Classes

Your DSA & System Design Journey

First 4 Months: Data Structures & Algorithms

Master the fundamentals of algorithmic thinking and problem solving

1

Time Complexity

Learn fundamentals of programming and understand time complexity.

Big O Notation Space Complexity Algorithm Analysis
Topic Duration → 2 weeks
2

Array, String and Linked List

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

Array Operations String Manipulation Linked Lists Sorting
Topic Duration → 3 weeks
3

Stack and Queue

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

Stack Implementation Queue Applications Problem Solving
Topic Duration → 3 weeks
4

Hashing & Heap Sort

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

Hash Functions Collision Resolution Heap Operations
Topic Duration → 4 weeks
5

OOD Concepts

Learn fundamental OOD concepts and its usage in programming.

Encapsulation Inheritance Polymorphism Object Oriented Design
Topic Duration → 4 weeks
6

Competitive Programming

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

String Manipulation Mathematical Problems HackerRank HackerEarth
Topic Duration → Ongoing
7

Binary Tree, N-ary Tree, Segment Tree etc

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

Binary Tree N-ary Tree Segment Tree Tree Traversal
Topic Duration → 4 weeks
8

Greedy Algorithm

Learn all about Greedy Algorithms and its use cases.

Greedy Algorithms Algorithm Design
Topic Duration → 3 weeks
9

Backtracking & Recursion

Learn fundamentals of Backtracking and Recursion.

Recursion Backtracking Algorithm Design
Topic Duration → 3 weeks
10

Graph Theory

Learn fundamentals of Graph Theory and its applications.

Graph Traversal Shortest Paths Minimum Spanning Trees Network Flow
Topic Duration → 4 weeks
11

Dynamic Programming

Learn Dynamic Programming and its key concepts.

Memoization Tabulation Optimal Substructure Overlapping Subproblems
Topic Duration → 4 weeks
12

Advanced Data Structures

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

Trie Suffix Tree Suffix Array Ternary Search Trees
Topic Duration → 4 weeks
4 months

Next 3 Months: System Design

Learn how to design scalable and efficient systems

1

System Design Basics

Approach of system design problem, discuss requirement, API, data model, system components, system interface & design.

API Design Data Modeling System Components System Interface Consistency Availability Latency
Topic Duration → 3 weeks
2

Distributed System Basics

Distributed Database, SQL, Load Balancer, Distributed Cache, CDN, Cache Eviction Policies, Push & Pull Mechanism, CAP Theorem etc.

Distributed Databases SQL Load Balancing Caching CDN CAP Theorem
Topic Duration → 3 weeks
3

Cloud Architecture Deployment

EC2 Instance configuration, Docker Container Deployment, cloud-native development, Pods, Running Web App in docker.

EC2 Docker Cloud-Native Pods
Topic Duration → 3 weeks
4

Design Patterns

SOLID Design pattern, Singleton design pattern, factory & abstract factory design pattern, Builder design pattern, observer design pattern etc.

SOLID Creational Patterns Behavioral Patterns Singleton
Topic Duration → 2 weeks
5

SQL & NoSQL

SQL Relational/Non- Relational Database, MYSQL and NoSQL – key/value Model, Cassandra, MongoDB, Redis etc. Document Databases, Graph Databases.

Relational DBs NoSQL Systems Data Modeling MySQL Cassandra MongoDB Redis
Topic Duration → 2 weeks
6

Kubernetes, Docker Deployment

Scalability (Latency, Throughput, vertical scaling, Horizontal scaling), AWS, Kubernetes Architecture & ecosystem, Long-Polling, web-sockets etc.

Scalability Kubernetes Docker AWS
Topic Duration → 2 weeks
7

Distributed Cache, Database Sharding

Caching, Cache Eviction Policies, Consistent Hashing, Zookeeper, Pooling & Streaming Concepts, Publish/Subscribe Pattern, Map Reduced.

Caching Database Sharding Consistent Hashing Zookeeper
Topic Duration → 3 weeks
8

Microservice Architectures Details

Monolithic vs microservices, micro-service Architectures, fault tolerance scalable system, Service Discovery, Distributed Tracing and Monitoring etc

Microservices Monolithic Service Discovery Distributed Tracing
Topic Duration → 2 weeks
9

Big Data, Hadoop Kafka, Zookeeper

Complete Understanding of Big Data Tech, High Level and Low Level Internal System Design, Message Queue, Kafka, API gateway, Big Data, Service Mesh

Big Data Hadoop Kafka Zookeeper Message Queue
Topic Duration → 3 weeks
10

Scalable System Design Problems Discussion

Design Problems of Real world system, Tiny URL, paste bin, Uber design, Facebook design, G-Map, Swiggy location based system, Mail server(Gmail) , WhatsApp etc

System Design Scalability Real-world Systems
Topic Duration → Ongoing
11

High level Design(HLD) + LLD(Low Level Design)

Understanding all scalable distributed system design, HLD and LLD detail design discussion, Detail Architectural Design flow, Distributed Components etc

High Level Design Low Level Design Distributed Systems Architectural Design
Topic Duration → Ongoing
12

System Design Interview Questions

System Design Interview question discussion with various examples. How design works, how to explain the design & cover bottle neck design issues

System Design Interview Preparation Problem Solving
Topic Duration → Ongoing
3 months

Real Time System Design Discussions

Learn real-time system design from industry experts, and use your learning expertise in the course by designing systems from scratch with HLD & LLD. Also, it enhances your resume with valuable expertise in design & implementation of real-time systems.

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

Beginner

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.

3,245 learners
4-6 weeks
Learn More View Design

Design Tiny URL

Intermediate

Design and Implementation of a system of TinyURL where URL shortening is used to create shorter aliases for long URLs. This is a scalable system which can access by billions of users at the same time.

5,812 learners
5-7 weeks
Learn More View Design

Design Ride Sharing Service

Intermediate

One of the favorite interview questions asked by top tech companies to test candidates' scalable system architecture understanding. Design efficient ride sharing system where users book and track rides.

4,129 learners
6-8 weeks
Learn More View Design

Design Social Networking Service

Advanced

Design social network system like Facebook or Twitter which can handle billions of requests in real time. Social media system should support the newsfeed feature as well as searching and tagging feature.

6,534 learners
8-10 weeks
Learn More View Design

Syllabus

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

Download brochure

  • • 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
Apply For Live Classes

Syllabus

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

Download brochure

  • • 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
Apply For Live Classes
Apply For Live Session
High demand for software developer profile across all product companies

8X salary boost by mastering DSA & System Design

Join thousands of developers who transformed their careers with in-demand technical skills

₹25,12,290

Average Annual Base Salary
(2020-2024)
Growing yearly

25%

Average Salary Growth Annual
(2020-2025)
Outpacing inflation

161%

Software Developer Job Listings Growth
(2019-2024)
High demand continues
50%+

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

"After completing the DSA & System Design course, I received multiple job offers with salaries 2.5x higher than my previous position."
Priya S.
Senior Developer @ Google
Apply For Live Classes

Limited seats available for upcoming batch

Career Launcher

Get Hired at Top Companies

Work on industry-relevant live projects and launch your career at leading tech companies

500+
Hiring Partners
92%
Placement Rate
45+
Live Projects
Amazon

Amazon

Avg CTC ₹25L - ₹45L

Roles SDE I, II, III

20+ Open Positions
Microsoft

Microsoft

Avg CTC ₹20L - ₹40L

Roles SDE, PM, Data

15+ Open Positions
Flipkart

Flipkart

Avg CTC ₹18L - ₹35L

Roles SDE, Data Engineer

12+ Open Positions
Google

Google

Avg CTC ₹17L - ₹38L

Roles SDE, DevOps, Testing

15+ Open Positions
Meta

Meta

Avg CTC ₹15L - ₹28L

Roles SDE, Front-end

8+ Open Positions
Adobe Inc.
Walmart Labs
Apple
Oracle
Dell
IBM
Samsung Electronics
Sony
AT&T
Verizon Communications
Intel
Cisco Systems
Juniper Networks
EBay
Paytm
PhonePe
Atlassian
Quora
Twitter
YouTube
McAfee
Citrix Systems
Siemens
Huawei
Robert Bosch GmbH
Ola Cabs
InMobi
Wells Fargo
Oyo Rooms
Jio
Snapdeal
Bing
Yahoo!
Airtel India
Deloitte
PayPal
JPMorgan Chase
Morgan Stanley
American Express
Goldman Sachs
Netflix
Spotify
LinkedIn
Expedia
Broadcom Inc.
Bank of America

Learn From Industry Experts

Our Mentors Hail From Top Tech Giants

Learn directly from senior developers and tech leads who have built scalable systems at FAANG companies

Google
8+ Mentors
Amazon
5+ Mentors
Microsoft
9+ Mentors
Meta
6+ Mentors
Walmart Labs
6+ Mentors
RK
Ranjan Kumar
Senior Software Engineer @ Amazon
Amazon
10+ years experience
Experienced Senior Software Engineer at Amazon with a strong background in building scalable systems and distributed computing. Passionate about solving complex technical challenges and mentoring aspiring engineers.
Areas of Expertise
Distributed Systems
Cloud Computing
Java
C++
System Design
Algorithms
4560+
Students Mentored
56
Projects Guided
99%
Mentee Success
Career Highlights
Senior Software Engineer at Amazon
Master's Degree from Stony Brook University
Ex-Microsoft Software Engineer
Class Timing
SAT+SUN
9AM - 12 PM
4.9
AS
Arpit Singh
Software Engineer @ Uber
Google
6+ years experience
Software Engineer at Uber with a focus on large-scale systems and problem-solving. Previously worked at MakeMyTrip, gaining diverse experience in building robust software solutions. Passionate about Data Structures, Algorithms, and System Design.
Areas of Expertise
Data Structures
Algorithms
System Design
Problem Solving
Java
C++
Python
1657+
Students Mentored
5000+
Sessions Conducted
97%
Mentee Success
Career Highlights
Senior Software Engineer at Uber
Experience at MMT
Expert in DSA and System Design
Available Time Slots
SAT+SUN
9AM - 12PM
4.8
SK
Sourav Karmakar
Senior AI Scientist @ Amazon
Intuit
6+ years experience
Experienced AI Scientist with a strong background in machine learning, deep learning, and data-driven decision-making. Passionate about solving complex problems and mentoring aspiring data scientists.
Areas of Expertise
Machine Learning
Deep Learning
Python
SQL
Data Visualization
AI Research
2000+
Students Mentored
30
Projects Guided
98%
Mentee Success
Career Highlights
Senior AI Scientist at Intuit
Ex-Senior Data Scientist at Amazon
M.Tech in Computer Science from Indian Statistical Institute
Class Timing
SAT+SUN
9AM - 12 PM
4.8
Meet All Mentors

Grab valuable certification

Project Certification Course

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 24th May Batch

  • DSA, Problem Solving & System Design
    7 months Course

    Live Classes Will Start From 24th May.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.

    24th May 2024
    Apply Now

    Course Fee

    Pay Monthly
    Pay on a monthly basis up to 12 months
    USD 4330 /mo
    Total: Up to USD 52000

    Pay Monthly
    Pay on a monthly basis up to 6 months
    USD 8660 /mo
    Total: Up to USD 52000
    Pay At One Go
    One Time Payment
    USD 52000
    Enroll Now
    Connect with Counsellor for Discount
    Next Batch starting on 24th May 2024

    Got Question regarding next cohort date?

    talk to an admission Counsellor

    Data Structures & Algorithms Course FAQs

    Live Interactive Course

      Yes,

      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.

    140%

    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.
    Oracle
    295%

    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.
    Zynga
    190%

    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.
    GlobalLogic
    270%

    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
    Paytm
    170%

    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.
    Cirtix
    160%

    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.
    MindTree
    130%

    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.
    Cred
    220%

    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
    Oracle
    View more reviews

    Get in touch with us

    WhatsApp

    info@logicmojo.com

    +91 80889-75867

    © 2021 Logicmojo. ALL RIGHTS RESERVED