How many problems will I solve?

You'll solve 300+ problems across all difficulty levels, covering every major topic from arrays to dynamic programming.

Industry-aligned program

DSA + Competitive Programming

Q: Which programming language should I use?

We support C++, Java, and Python. C++ is recommended for competitive programming due to its speed, but you can choose based on your comfort.

4-5 Months
5 Milestone Projects

Master data structures, algorithms, and competitive programming — from Big-O fundamentals to contest-level problem solving.

Industry-recognized certification
Trainers from Microsoft, Deloitte, Infosys
96% placement confidence

Talk to us

Talk to us about this program

20 LPA+
Avg product company CTC
Glassdoor India
2.5x
Salary premium vs services
LinkedIn Salary 2025
70%
Product hires require strong DSA
LinkedIn hiring data
96%
KodPrep placement confidence
KodPrep internal

DSA is the single biggest lever for landing a product company.

Industry-ready in 4-5 Months

Learn technologies like

C++

Java

Python

KodPrep Practice

Build projects like

Pathfinding Visualizer
Sorting Algorithm Visualizer
Custom Data Structure Library
Maze Solver with Backtracking
DSA Pattern Tracker
Contest Simulator Bot

Syllabus designed to take you ahead

Variables, data types & type conversion across C++/Java/PythonOperators, operator precedence & bitwise basicsConditional statements and nested branching patternsLoops: for/while/do-while and loop-invariant thinkingFunctions, parameter passing (value vs reference) & recursion primerArrays and multi-dimensional arrays fundamentals+ 8 more

Big-O, Big-Omega and Big-Theta notation formalizedBest, average & worst case analysis of algorithmsAnalyzing loops: single, nested & dependent loop complexityRecurrence relations and the Master TheoremRecursion tree method & substitution method for solving recurrencesAmortized analysis (dynamic arrays, union-find path compression)+ 7 more

Array traversal, in-place modification & prefix/suffix sumsTwo-pointer technique for sorted array problemsSliding window (fixed & variable size) for subarray problemsKadane's algorithm for maximum subarray sumMatrix operations: rotation, spiral traversal, transposeString manipulation: reversal, palindrome checks, anagram detection+ 8 more

Linear search vs binary search & binary search on answer techniqueBinary search on rotated & nearly-sorted arraysLower bound / upper bound and STL binary search functionsBubble, insertion, selection sort mechanics & stabilityMerge sort: divide-and-conquer implementation & complexity proofQuick sort: partition schemes (Lomuto/Hoare) & worst-case analysis+ 8 more

Singly, doubly & circular linked list implementation from scratchReversal of linked lists (iterative, recursive & in groups of k)Floyd's cycle detection (slow-fast pointer) & cycle removalMerge two/k sorted linked lists & find intersection pointLRU cache design using doubly linked list + hash mapStack implementation via array/linked list & applications+ 8 more

Hash tables: collision handling via chaining & open addressingHashMap/HashSet usage patterns & custom hash functionsFrequency counting, two-sum family & subarray sum problems via hashingBinary tree traversals: inorder, preorder, postorder (recursive & iterative)Level-order traversal & BFS/DFS on treesTree construction from traversals & serialization/deserialization+ 8 more

Binary heap structure & array representation (min-heap/max-heap)Heapify, build-heap & heap sort implementationPriority queue usage in C++ (priority_queue) & Java (PriorityQueue)Kth largest/smallest element using heapsTop-K frequent elements via heap + hashingMerge k sorted lists/arrays using a min-heap+ 7 more

Graph representations: adjacency list, matrix & edge list tradeoffsBFS & DFS traversal, connected components & bipartite checkTopological sort (Kahn's algorithm & DFS-based) for DAGsCycle detection in directed & undirected graphsDijkstra's & Bellman-Ford shortest paths (with negative edges)Floyd-Warshall all-pairs shortest path algorithm+ 8 more

Greedy paradigm: exchange argument & proof of correctnessActivity selection, interval scheduling & job sequencingFractional knapsack & Huffman coding as greedy problems1D DP: climbing stairs, house robber, coin change patterns2D DP: unique paths, minimum path sum & grid-based DP0/1 Knapsack & subset-sum family of DP problems+ 8 more

Bitwise operators recap: AND, OR, XOR, NOT, shiftsChecking, setting, clearing & toggling individual bitsXOR tricks: single number, missing number & swap without tempCounting set bits (Brian Kernighan's algorithm) & bit DPSubset generation using bitmaskingSparse table for O(1) range minimum/maximum queries+ 8 more

Reading & decoding problem statements fast (constraints-to-approach mapping)Rating-tier strategy & virtual contest practice on the KodPrep platformTimed contest strategy: time-boxing & partial-credit approachBuilding a personal template library (fast I/O, DSU, segment tree snippets)Debugging under contest pressure: stress testing & brute-force comparisonRecognizing problem patterns from constraints (n <= 1e5 vs 1e9 signals)+ 8 more

Download detailed curriculum Talk to us about this program →

The KodPrep Experience

Built for placement, not just learning

Industry-Aligned Curriculum

Co-designed with mentors from Microsoft, Deloitte, Infosys.

Expert-Led Training

Trainers with 10–15 years of real-world experience.

Real-Time Analytics

Student-level progress with at-risk alerts.

Placement-Ready Outcomes

96% placement confidence with tracked outcomes.

KodPrep Advantage: With you throughout the program

Live doubt-solving 7 days a week
Dedicated relationship manager per college
Mock interviews with hiring managers
Company-pattern tests (TCS, Infosys, Cognizant)
Exportable NAAC/NIRF-ready reports for your placement cell

Career Support

Helping students land their first role

Mock Interviews

Practice with industry experts and hiring managers.

Curated Job Boards

Direct access to placement partner companies.

Resume & Portfolio Building

Personalized resume reviews and GitHub portfolio guidance.

Industry Mentor Sessions

1:1 sessions with experienced professionals.

Co-designed with mentors from

Meet your trainers

Mr. Gulshan Sharma

Full Stack Development

15 Years Experience

Expert full stack development trainer with extensive industry experience building enterprise-grade web applications and mentoring engineering teams.

Ms. Aarshi Gupta

AI/ML & DSA

7+ Years Experience

Passionate AI/ML trainer specializing in machine learning algorithms and data structures, dedicated to making complex concepts accessible.

Mr. Pratik Agarwal

AI & Machine Learning

10 Years Experience

Seasoned AI trainer with deep expertise in machine learning, administration, and building intelligent systems at scale.

What partner colleges say

Trusted by Vice Chancellors, Deans, and faculty heads across India's leading engineering institutions.

Vice Chancellor

“

Kodprep Technologies has proven to be an invaluable partner in bridging the industry-academia gap. Their advanced curriculum integration and specialized bootcamp modules have significantly enhanced our institutional technical education standards.

Vice Chancellor · LPU

Vice Chancellor · Lovely Professional University

HOD

“

An exceptional platform that truly understands the evolving dynamics of higher education. Kodprep's rigorous faculty development programs and student-centric training models have modernized our approach to technical learning.

HOD · GNDU

Head of Department · Guru Nanak Dev University

Vice Chancellor

“

Kodprep's structured internships and hands-on skill development initiatives align perfectly with modern educational guidelines. They are doing an outstanding job of empowering the next generation of tech professionals.

Vice Chancellor · Chitkara

Vice Chancellor · Chitkara University

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