Course Overview
Coding interviews are becoming increasingly challenging. A few years back, brushing up on key data structures and going through 50 to 75 coding interview questions was more than enough prep for an interview. Today, everyone has access to massive sets of coding problems, and they have become more difficult to account for. The process has gotten more competitive. When our team sat together to brainstorm on ideas to make the interview process easier for candidates, we realized quickly that one skill helped us the most when we were preparing for coding interviews: "the ability to map a new problem to an already known problem." To help candidates with this, we have compiled a list of 33 common coding patterns to help solve coding questions. The idea is that once you are familiar with a pattern, you'll be able to solve dozens of problems with it. The techniques taught in this course have helped developers land jobs at top companies like Google, Meta, Amazon, Oracle, OpenAI, and Microsoft.
Course Content
Introduction
Warmup
Pattern: Two Pointers
Pattern: Fast & Slow Pointers
Pattern: Sliding Window
Pattern: Merge Intervals
Pattern: Cyclic Sort
Pattern: In-place Reversal of a Linked List
Pattern: Stacks
Pattern: Monotonic Stack
Pattern: Hash Maps
Level Order Traversal Pattern
NewPattern: Tree Breadth First Search
Pattern: Tree Depth First Search
Pattern: Graphs
Pattern: Island (Matrix Traversal)
Pattern: Two Heaps
Pattern: Subsets
Pattern: Modified Binary Search
Pattern: Bitwise XOR
Pattern: Top 'K' Elements
Pattern: K-way Merge
Pattern: Greedy Algorithms
Pattern: 0/1 Knapsack (Dynamic Programming)
Fibonacci Numbers (Dynamic Programming)
NewPalindromic Subsequence (Dynamic Programming)
NewPattern: Backtracking
Pattern: Trie
Pattern: Topological Sort (Graph)
Pattern: Union Find
NewPattern: Ordered Set
NewPattern: Prefix Sum
NewPattern: Multi-threaded
Miscellaneous
Revision
Test Your Knowledge (Easy)
Test Your Knowledge (Medium)
Test Your Knowledge (Hard)
Conclusions
What people say about our courses




About the Author
Meet Arslan Ahmad
The Expert Behind Grokking the Coding Interview

Industry Expertise & Leadership
Arslan Ahmad is the lead author of Grokking the Coding Interview, leveraging his extensive experience to craft a comprehensive technical interview course.
This expert-led program demystifies core data structures and algorithms for effective coding interview prep.
As a former software engineer at Facebook (Meta) and Microsoft, Arslan partnered with senior MAANG engineers (Google, Meta, Amazon, Microsoft, Uber) to ensure the course covers everything needed to excel in FAANG coding interviews.
This authoritative content distills proven coding interview strategies and patterns, offering expert guidance to help candidates master coding interviews with confidence.
500+
Interviews Conducted
10k+
Students Taught
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