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Data Structures & Algorithms

Crack FAANG & top product company interviews with a solid foundation in DSA — from basics to advanced problem solving.

3 Months 10 Modules Online & Offline (Hosur) Certificate + Placement Support

🚀 Why DSA? — Current & Future Scope

Current Demand

Every top tech company — Google, Amazon, Microsoft, Zoho — tests DSA in interviews. It's the single most important skill for software engineers.

Future Scope

As AI tools handle boilerplate code, problem-solving, algorithmic thinking, and AI-assisted optimization become even more valuable. DSA remains a core skill for modern developers building in the AI era.

Job Roles

Software Engineer, Backend Developer, Full Stack Developer, Systems Engineer, Algorithm Engineer at any tech company.

Top Recruiters

Google, Amazon, Microsoft, Zoho, Freshworks, Flipkart, Ola, Swiggy, Razorpay & all product-based companies.

📚 Advanced AI-Integrated Syllabus — Module Wise

1
Programming Fundamentals & Complexity Analysis
1 Week
  • Language Setup: Java / Python / C++ (student's choice)
  • Variables, Loops, Functions, Recursion
  • Time Complexity: Big-O, Big-Θ, Big-Ω
  • Space Complexity Analysis
  • Recursion Tree Method
  • Iterative vs Recursive Approaches
2
Arrays & Strings
2 Weeks
  • 1D & 2D Arrays, Matrix Operations
  • Two Pointer Technique
  • Sliding Window Pattern
  • Prefix Sum & Difference Arrays
  • String Manipulation & Pattern Matching
  • KMP Algorithm, Rabin-Karp
  • LeetCode Problems: Easy → Medium
3
Linked Lists
1 Week
  • Singly & Doubly Linked Lists
  • Insertion, Deletion, Reversal
  • Floyd's Cycle Detection
  • Merge Two Sorted Lists
  • LRU Cache Implementation
  • Skip Lists (concept)
4
Stacks & Queues
1 Week
  • Stack: Push, Pop, Peek — Array & Linked List
  • Queue, Deque, Circular Queue
  • Monotonic Stack & Queue
  • Next Greater Element, Stock Span
  • Priority Queue & Heap basics
  • Applications: Expression Evaluation, BFS
5
Trees
2 Weeks
  • Binary Trees: Traversals (Inorder, Preorder, Postorder, Level Order)
  • Binary Search Trees (BST): Insert, Delete, Search
  • AVL Trees & Rotations
  • Segment Trees & Fenwick Trees (BIT)
  • Trie Data Structure
  • Lowest Common Ancestor (LCA)
  • Tree DP Problems
6
Heaps & Hashing
1 Week
  • Min Heap & Max Heap
  • Heap Sort
  • Top-K Elements Pattern
  • Hash Tables: Chaining & Open Addressing
  • HashMap & HashSet Applications
  • Frequency Counting & Anagram Problems
7
Graphs
2 Weeks
  • Graph Representations: Adjacency List & Matrix
  • BFS & DFS Traversals
  • Topological Sort (Kahn's & DFS)
  • Shortest Path: Dijkstra, Bellman-Ford, Floyd-Warshall
  • Minimum Spanning Tree: Prim's & Kruskal's
  • Union-Find (Disjoint Set Union)
  • Strongly Connected Components (Kosaraju's)
8
Sorting & Searching
1 Week
  • Bubble, Selection, Insertion Sort
  • Merge Sort & Quick Sort (with analysis)
  • Counting Sort, Radix Sort, Bucket Sort
  • Binary Search & Variants
  • Search in Rotated Array, First/Last Occurrence
  • Binary Search on Answer Pattern
9
Dynamic Programming
2 Weeks
  • Memoization vs Tabulation
  • 1D DP: Fibonacci, Climbing Stairs, House Robber
  • 2D DP: Grid Problems, Unique Paths
  • Knapsack (0/1, Unbounded, Fractional)
  • Longest Common Subsequence (LCS), LIS
  • Matrix Chain Multiplication
  • DP on Trees & Graphs
10
Interview Patterns, AI-Era Problem Solving & Mock Interviews
1 Week
  • Backtracking: N-Queens, Sudoku, Permutations
  • Greedy Algorithms & Interval Problems
  • Bit Manipulation Tricks
  • Using AI tools for explanation, validation, and test generation without losing core logic skills
  • LeetCode Top 150 Interview Questions
  • Mock Technical Interviews (Timed)
  • System Design Basics (for SDE-1 roles)