Competitive Programming Course

Live Instructor-Led Classes with Project-Based Learning in Competitive Programming Course

  • 6-Month Training
  • 2-Year LMS Access
  • A Dedicated Job Application Portal
A Certified Member of  nasscom_rc  hysea_rc  shrm_rc
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Course Highlights

Weekly Live Sessions

Doubt Clarification Sessions

Hands-on Coding Exercises

A Dedicated Success Coach

Master classes by Industry Experts

2-Year LMS access

Certificate of Accomp-lishment

Flexible EMI Options

500+ Hiring Organizations

Competitive Programming 
Course Overview

Do you want to sharpen your problem-solving skills and excel in coding competitions or technical interviews at top tech companies?

Our Competitive Programming Course is a live, instructor-led program designed to turn you into a coding expert in just 6 months. This course focuses on enhancing your algorithmic thinking and problem-solving abilities, preparing you for competitive programming challenges and coding interviews. You’ll learn to tackle a wide range of problems using data structures (arrays, trees, graphs) and advanced algorithms (dynamic programming, greedy algorithms, recursion), while optimizing your code for performance and efficiency.

With extensive hands-on coding practice on popular platforms like Codeforces, LeetCode, and HackerRank, you’ll build the speed and accuracy needed to succeed in contests and solve complex problems under time constraints. You’ll also learn strategies for improving time and space complexity, helping you write optimized, scalable code for real-world scenarios.

Reach out to a career counselor today to check your eligibility and get started on the path to becoming a top competitive programmer!

Career Services 
in a nutshell

Get ready for your dream job! Attend comprehensive industry readiness training with Career Services.

  • Communication and aptitude training
  • Mock interviews
  • 200+ jobs available on our placement portal
  • Workshops on workplace behaviour
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Learn workplace skills!

Your working style and behavior decide if you are a good cultural fit. Learn the right skills so you never feel out of place at work.

Sell your skills, and sell them well.

You are halfway there if you have a great resume and an optimized online presence. Work with our experts to build your professional profiles.

Attend mock interviews!

Get a grip on those pre-interview nerves. Test and practice your skills with mock interview sessions.

Competitive Programming 
Course Syllabus

An industry-aligned curriculum to make you productive from day one – we update the curriculum every month to make sure you learn the most in-demand skills.

Introduction to Competitive Programming
  1. Introduction to the Course
  2. What is Competitive Programming
  3. Competitive Programming Competitions
  4. Websites for Competitive Programming
  5. Terminologies in Competitive Programming
  6. Choosing a Programming Language
  7. Taking Input & Output in Competitive Programming Contests
  8. Cout vs Printf
  9. Endl vs Back n
  10. Fast Cin Cout Methods _ Conclusion
  11. Time Complexity in Competitive Programming
  12. Calculating Time Complexity of Code
  13. Importance of English in Competitive Programming
Standard Template Library (STL)
  1. Introduction to STL in C++
  2. Standard Array
  3. Standard Vector
  4. Standard Set
  5. Standard Multiset
  6. Standard Map
  7. Standard Multimap
  8. Standard Pair
  9. Standard Forward List
  10. Standard List
  11. Standard Unordered Set
  12. Standard Unordered Multiset
  13. Unordered Map and Unordered Multimap
  14. Standard Stack
  15. Standard Queue
  16. Standard Priority Queue
  17. Standard Deque

 

Bit Manipulation and Modulo Arithmetic
  1. Importance of Bit Manipulation Techniques
  2. Basic Binary Operations
  3. Bit Operations in C++
  4. Check ith bit is SET or NOT SET
  5. Toggle ith bit
  6. Check odd or even using bits
  7. Check if Number is Power of 2
  8. Need for Modulo 10^9 + 7
  9. Modulo Arithmetic
  10. [A3.1] Problem XOR ORED
  11. [A3.2] Solution – XOR-ORED
  12. [A3.3] Solution with Code – XOR-ORED
Graphs
  1. Introduction to Graphs
  2. Weights in Graphs
  3. Why Study Graphs
  4. Edge List
  5. Adjacenty Matrix
  6. Adjacenty List
  7. DFS Traversal
  8. Implementing DFS Traversal
  9. BFS Traversal
  10. Implementing BFS Traversal
  11. Minimum Spanning Tree
  12. Concept of Kruskal_s Algorithm
  13. Concept of Prim_s Algorithm
  14. Concept of Dijkstra Algorithm
  15. [A4.1] Problem – CHFPLN
  16. [A4.2] Solution – CHFPLN
  17. [A4.3] Solution with Code – CHFPLN
Segment Tree
  1. Sum of Updated Range Problem
  2. Solving Sum of Range Problem with Segment Trees
  3. Segment Trees – Update Queries
  4. Segment Trees – Calculate Sum
  5. Implementing Segment Tree – Part 1
  6. Implementing Segment Tree – Part 2
  7. Problem – Range Minimum Query
  8. Implementing Range Minimum Query
  9. Implementing Segment Tree – Tricks
  10. Lazy Propagation in Segment Trees – Part 1
  11. Lazy Propagation in Segment Trees – Part 2
  12. Implementing Lazy Propagation in Segment Trees – Part 1
  13. Implementing Lazy Propagation in Segment Trees – Part 2
  14. Problem – Xenia and Bit Operations
  15. Solution – Xenia and Bit Operations
  16. Solution with Code – Xenia and Bit Operations
  17. Problem – Circular RMQ
  18. Solution with Code – Circular RMQ – Part 1
  19. Solution with Code – Circular RMQ – Part 2
Backtracking
  1. Introduction to Backtracking
  2. N Queens Problem Explained
  3. N Queens Solved
  4. Knights Tour Problem Explained
  5. Knight’s Tour Solved
  6. Rat in Maze Problem Explained
  7. Rat in Maze Solved
  8. Problem Richie Rich
  9. Solving Richie Rich
  10. Problem False Number
  11. Solving False Number
Greedy Algorithms
  1. Algorithms
  2. Introduction to Greedy Algorithms
  3. Understanding Greedy with Fractional Knapsack Problem
  4. Solving Fractional Knapsack Problem
  5. Tasks and Deadlines Problem
  6. Solving Tasks and Deadlines Problem
  7. Optimal File Merging Problem
  8. Solving Optimal File Merge Patterns Problem
  9. Huffman Coding
  10. [A7.1] Problem – Dragons
  11. [A7.2] Solution with Code – Dragons
  12. [A7.3] Problem – Little Elephant and Bits
  13. [A7.4] Solution with Code – Little Elephant and Bits
Dynamic Programming
  1. Introduction to Dynamic Programming
  2. Top down vs Bottom Up
  3. Fibbonacci Problem Top Down
  4. Implementing Fibonnaci with DP
  5. 2D Grid Traversal Problem
  6. Implementing 2D Grid Traversal Problem
  7. Understanding Memoization
  8. Fibbonacci with Tabulation
  9. Implementing Fibbonacci with Tabulation
  10. 2D Grid Traversal Problem with Tabulation
  11. Implementing 2D Grid Traversal Problem with Tabulation
  12. Understanding Tabulation
  13. [A8.1] Problem – Subset Sum Problem
  14. [A8.2] Solving – Subset Sum Problem
Advanced Concepts
  1. Binary Lifting (Kth Ancestor of a Tree Node)
  2. LCA (Lowest Common Ancestor) Problem
  3. Fenwick Trees – Introduction
  4. Fenwick Trees – Sum of Range (Range Find Query)
  5. Fenwick Trees – Update (Point Update Query)
  6. Problem – Distance between nodes in Trees
  7. Solution – Distance between nodes in Trees
  8. Implementing Fenwick Trees
  9. Implementing Binary Uplifting
  10. Implementing LCA
  11. Solution with Code – Distance between nodes in Trees

Tools and Technologies

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2-Year LMS Access

Let us help you become an industry asset

Attend job readiness training along with your technical training.

Master Competitive Programming with

  • Live Online Classes
  • Doubt Clarification
  • Profile Building
  • Career Services
Get support every step of your way
How do I enroll in this program?

Step 1

Apply

Step 2

Talk to A Counsellor

Step 3

Review Your Eligiblity

Step 4

Get Started

Competitive Programming 
Course Fee

Option 1: One Time Payment

Course Fee

₹ 20,000

+ GST

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  • Early Bird Offer Up To ₹10,000
  • Offer only valid for the first 100 seats!
Reserve your seat at ₹ 6000 ( with GST )

Option 2: Pay In EMI

Pay In easy EMI

₹ 6,000 X 4 months

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