Master DSA & System Design
Get MAANG Ready

Crack top tech interviews and advance your career with our comprehensive program.

98 LPA

Highest CTC

300%

Salary Hike

27 LPA

Average CTC

350+

Company Tie Ups

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Course Overview

Our DSA and System Design course is designed to equip software engineers with the skills and knowledge needed to excel in technical interviews at top tech companies. The comprehensive curriculum covers everything from basic algorithms to advanced system design concepts.

Through a combination of live classes, hands-on coding sessions, and 1:1 mentorship, you'll develop the problem-solving abilities and technical communication skills that hiring managers look for.

Who is this course for?

  • Software engineers looking to join top tech companies
  • Professionals with 1+ years of coding experience
  • Engineers wanting to improve their problem-solving skills
  • Developers seeking significant career growth

What you'll learn

Basic Algorithms & Profile Presentation

1st month

  • Time & Space Complexity
  • Arrays & Strings
  • Sorting Algorithms
  • Resume Building
  • LinkedIn Optimization

Advanced DSA & Dynamic Programming

2nd month

  • Trees & Graphs
  • Dynamic Programming
  • Greedy Algorithms
  • Backtracking
  • Mock Interviews

Advanced Algorithms & System Design

3rd month

  • System Design Fundamentals
  • Scalability
  • Database Design
  • API Design
  • Case Studies

Interview Preparation

4th month

  • Behavioral Questions
  • Technical Communication
  • Problem Solving
  • Company-Specific Prep
  • Mock Interviews

Placement Assistance

5th month

  • Job Search Strategy
  • Offer Negotiation
  • Career Planning
  • Networking
  • Continuous Support

Projects Based Learning

Array Manipulation Challenge

Array Manipulation Challenge

Implement various array manipulation techniques including searching, sorting, and in-place operations to solve complex problems efficiently.

Hash Table Implementation

Hash Table Implementation

Build a hash table from scratch with collision resolution strategies and analyze its performance compared to built-in implementations.

Graph Traversal Algorithms

Graph Traversal Algorithms

Implement BFS and DFS algorithms to solve problems like shortest path, connected components, and cycle detection in graphs.