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Cutting Edge Curriculum

Course Details

About

Welcome to The FAANG Blueprint: Master DSA & Top Tech Interviews—a meticulously crafted 6-week BootCamp designed to transform your problem-solving capabilities and elevate your career in tech. Combining live weekend classes, on-demand lectures, and hands-on projects, this hybrid course offers the perfect balance of flexibility and rigor.


Designed by engineers from Google, LinkedIn, and Directi, our curriculum goes beyond theory, immersing you in hands-on coding challenges, real-time contests, and interview preparation to ensure you stand out in competitive placements.

Skills Unlocked

  • Master programming basics, problem-solving, and logical thinking.
  • Learn time complexity, recursion, and optimization techniques.
  • Build expertise in arrays, stacks, queues, trees, graphs etc.
  • Excel in sorting, searching, and dynamic programming.
  • Explore bit manipulation, hashing, and sliding windows.
  • Practical coding exercises to build job-ready expertise.


This BootCamp isn't just about teaching you concepts—it's about transforming your skills, mindset, and confidence. By the end of these 6 weeks, you'll have the expertise to not just crack interviews but also thrive in roles at top companies or product-based firms, while unlocking your best career potential.


Whether you're aiming for your first tech role or dreaming of elite companies, The FAANG Blueprint: Master DSA & Top Tech Interviews will equip you with the knowledge, confidence, and strategy to secure

Deep Dive into Learning

Start with strong DSA foundations, tackle core structures like trees and graphs, and master advanced strategies such as dynamic programming and greedy algorithms. With tools like sliding windows and hashing, learn to write optimized solutions for real-world challenges.


This BootCamp ensures you're interview-ready with hands-on experience in solving problems and tackling coding challenges.

  • Time Complexity Introduction
  • Asymptotic Notations
  • Time Complexity Examples
  • Order Of Growth
  • Space Complexity

  • Introduction of Recursion
  • Recursive Stack
  • Factorial of a number
  • Sum of digits
  • Applications of Recursion
  • Fibonacci Number
  • Climbing Stairs
  • Tail Recursion
  • PoW (x,n)
  • Letter Case Permutation
  • Subsets
  • Permutations of a Given String
  • Tower of Hanoi

  • Palindrome Number
  • Divisors of a Number
  • GCD
  • LCM
  • Prime Number
  • Sieve of Eratosthenes
  • Time Complexity of Sieve of Eratosthenes
  • Swap two numbers

  • Introduction to Bit Manipulation
  • Bitwise Operators
  • Shift Operators
  • Properties of Bitwise Operators
  • Even Odd Check
  • Missing Number in Array
  • Check_Set kth bit
  • Count Set Bits
  • Power of 2
  • Gray Code
  • Maximum AND Value

  • Introduction of Arrays
  • Traverse an array
  • Sum, Average and Max of an Array
  • Find Second Max Element of an Array
  • Vector C++
  • Remove Duplicates from Sorted Array
  • Reverse an Array
  • Rotate an Array
  • Subarray_Subsequence_Subsets
  • Prefix Sum Array
  • Equilibrium Point
  • 2D Arrays or Matrix
  • Spiral Matrix
  • Set Matrix Zeros

  • Introduction to Strings
  • getline() in Strings
  • Sort and Reverse in String
  • Palindrome Strings
  • Anagram Strings
  • Substring & Subsequences
  • Reverse Words in a Given String
  • Reverse Vowels of a String

  • Linear Search
  • Binary Search
  • Linear vs Binary Search
  • Upper Bound & Lower Bound
  • sqrt Function
  • Search Insert Position
  • Search in a 2D Matrix
  • Search in Rotated Sorted Array
  • Find First and Last Position
  • Spoj- Aggressive Cows

  • What is Sorting
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Count Sort
  • Types of Sorting
  • Quick Sort
  • Merge Sort
  • Inversion Count

  • GFG- Two Sum Sorted
  • Merge Sorted Array
  • Sort Colors
  • Trapping Rain Water

  • Introduction to Hashing
  • Set in C++
  • unordered_set in C++
  • Multiset in C++
  • Map in C++
  • Unordered_map in C++
  • Multimap in C++
  • Count Distinct Elements
  • Frequency Counter Method
  • Anagram Strings
  • Anagram Palindrome
  • Pair with given sum (Unsorted array)
  • Longest Subarray with Sum k

  • Intro to Sliding Window Technique
  • Max Sum Subarray of Size K
  • Substrings of Size 3 with Distinct Characters
  • Longest Substring without Repeating Characters
  • Subarray with Given Sum
  • Kadane`s Algorithm

  • Introduction to Greedy Algorithms
  • Activity Selection
  • Fractional Knapsack
  • Job Sequencing

  • Introduction to Linked List
  • Singly Linked List Implementation in C++
  • Traversing a Singly Linked List
  • Insertion in Singly Linked List
  • Deletion in Singly Linked List
  • Find middle of a linked list
  • Delete nth Node from the End
  • Reverse a Singly Linked List
  • Rotate a Singly Linked List
  • Doubly Linked List Implementation in C++
  • Insertion in Doubly Linked List
  • Deletion in Doubly Linked List
  • Reverse a Doubly Linked List
  • Circular Linked List
  • Detect loop in a Singly Linked List
  • Remove loop in a Singly Linked List
  • Intersection of two Linked List
  • Merge two Sorted Linked List

  • Applications of Stack
  • Array implementation of Stack
  • Display and Clear the Stack
  • Introduction to Stack
  • Linked List Implementation of Stack
  • Next greater element
  • Postfix to Infix
  • Prefix to Infix
  • Reverse using Stack
  • Valid Parenthesis

  • Introduction to Queue
  • Display the Queue
  • Applications of Queue
  • Array implementation of Queue
  • Linked List implementation of Queue
  • Reverse a Queue using Stack
  • Generate Binary Numbers
  • Implement Stack using Queues
  • Implement Queue using Stacks

  • Introduction of Deque
  • Applications of Deque
  • Linked List Implementation of Deque
  • Array Implementation of Deque
  • Rotate Deque
  • Sliding Window Maximum

  • Introduction to Tree Data Structure
  • Applications and Types of Tree
  • Binary Tree
  • Preorder Traversal
  • Inorder and Postorder Traversal
  • Level Order Traversal
  • Height of a Binary Tree
  • Print right-left view of a binary tree
  • Lowest Common Ancestor
  • Check for balanced tree

  • Introduction to BST
  • Search in BST
  • Insert in BST
  • Delete in BST
  • Kth Smallest in BST
  • Pair Sum with BST
  • Check for BST

  • Binary Heap Introduction
  • Heapify Implementation
  • Heap Sort
  • Priority Queue
  • K Nearly Sorted
  • Min cost to join ropes
  • kth Largest Element

  • Introduction to Graph
  • Graph vs Tree
  • Types of Graph
  • Representation of Graph
  • Adjancency List
  • Adjancency Matrix
  • BFS
  • DFS
  • Detect Cycle in Undirected Graph
  • Detect Cycle in Directed Graph
  • Number of Provinces
  • Topological Sorting
  • Kahn`s Algorithm
  • Minimum Spanning Tree
  • Prim`s Algorithm
  • Kruskal`s Algorithm
  • Shortest Path Algorithms
  • Dijkstra Algorithm
  • Bellmon Ford Algorithm
  • Floyd Warshall Algorithm

  • Introduction to Backtracking
  • N Queen Problem
  • Sudoku Problem
  • Rat in a maze

  • Introduction to Dynamic Programming
  • Dynamic Programming Memoization
  • Dynamic Programming Tabulation
  • House Robber
  • Longest Common Subsequence
  • Longest Increasing Subsequence
  • 0-1 Knapsack Problem
  • Unbounded Knapsack
  • Subset Sum Problem
  • Coin Change
instructor
Abhinav Awasthi
Instructor

Abhinav Awasthi, a Software Development Engineer at Zeta-Directi. With experience at LinkedIn and Zeta, Abhinav is also a seasoned Data Structures and Algorithms instructor who has mentored over 10,000+ students. A top competitive programmer with a stellar record, he brings his passion for coding and problem-solving to our courses, promising an enriching learning experience.

instructor
Harekrishna Mahto
Senior Mentor & Instructor

Harekrishna Mahto, a tech virtuoso with a track record of impact at Google, Zomato, and Rapido. At Google's Cloud Engineering team, he played a crucial role in managing infrastructure for global data centers, saving millions. At Zomato, he enhanced the engineering of restaurant catalogues, and his work at Rapido further showcases his diverse tech expertise. Learn from Harekrishna's extensive experience to gain unparalleled insights into the tech industry.

instructor
Vishal Teotia
Mentor

Vishal Teotia is an experienced software engineer who has worked at top-tier companies like Google and BNY Mellon. At Google, he contributed to scalable systems and innovative technologies, impacting millions of users, while at BNY Mellon, he advanced solutions in the fintech space. With deep expertise in data structures, algorithms, and software development, Vishal is passionate about mentoring aspiring developers.

Course Includes

  • Price :₹11999₹9999
  • Duration :6 Weeks
  • Start Date :2nd June 2026
  • Language :English
  • Certification :Yes
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Course Excellence

Why This Course is for You

Our curriculum is designed by industry veterans to take you from a curious beginner to a confident professional. We focus on hands-on learning, real-world projects, and the technical depth required by top-tier tech companies.

10,000+ Students

Joined our community worldwide.

Industry Projects

Build real-world applications.

Placement Support

Resume building & mock interviews.

Live Sessions

Interactive Q&A with mentors.

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What You Get

  • Comprehensive 6-week intensive training
  • Access to exclusive student community
  • Weekly live coding challenges
  • Personalized code review feedback
  • Official certification of completion
  • Career coaching and portfolio help
Frequently Asked Questions

Everything you need to know before enrolling

01 Who is this course designed for?

This course is designed for beginners and professionals looking to upskill. No prior experience required.