Grokking LinkedIn Coding Interview
Crack the LinkedIn Coding Interview: The Ultimate Guide to Master the Top 40 Most Frequently Asked Coding Questions From LinkedIn Interviews.

Course Overview
This comprehensive course is specifically designed to prepare candidates for their LinkedIn coding interviews, offering an in-depth exploration of the 40 most frequently asked questions at LinkedIn. It serves as an essential tool for anyone looking to excel in the highly competitive LinkedIn coding interview process. With a focus on practical, hands-on learning, this course provides learners with the unique opportunity to practice and master the intricacies of LinkedIn coding interview questions within a fully interactive in-browser coding environment. By concentrating on the key areas and challenges faced in LinkedIn coding interviews, this course ensures that candidates are well-prepared to tackle the questions with confidence and precision. Highlighting crucial aspects of the LinkedIn coding interview, the course is designed to enhance your problem-solving skills, improve your coding efficiency, and deepen your understanding of algorithms, data structures, and coding patterns, all of which are critical for success at LinkedIn. Whether you are a beginner aiming to get a head start in your preparation or an experienced developer seeking to brush up on your skills, this course caters to all levels of expertise. Each question is carefully chosen to reflect the type of challenges faced in actual LinkedIn coding interviews, making it an...
What you'll learn in Grokking LinkedIn Coding Interview
- The 40 coding questions asked most often in LinkedIn interviews, taken from real LinkedIn loops rather than from a generic set.
- LinkedIn staples worked in full: Find Leaves of Binary Tree, Valid Parenthesis String, Isomorphic Strings, Second Minimum Node in a Binary Tree, and Design Add and Search Words Data Structure.
- Every problem attempted in an in-browser editor before you are shown anything.
- Heavy coverage of the areas LinkedIn favours: binary trees and binary search trees, string problems, and design-a-data-structure questions.
- Solutions in Python, Java, C++, JavaScript, Go, and C#.
- 10 easy, 24 medium, and 6 hard problems, which is close to the shape of the loop itself.
- The hard problems LinkedIn returns to: Max Points on a Line, Closest Binary Search Tree Value II, Word Ladder, Median of Two Sorted Arrays, Largest Rectangle in Histogram, and Serialize and Deserialize Binary Tree.
- A step by step algorithm and an algorithm walkthrough on every solution, plus its complexity analysis.
- A genuine dynamic programming run through Edit Distance, Decode Ways, House Robber II, Coin Change, and Longest Palindromic Subsequence.
- A tight enough set to finish in the run-up to an interview rather than one you abandon halfway.
Course Content
Introduction
LinkedIn Easy
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LinkedIn Medium
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LinkedIn Hard
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What people say about our courses






About the Author

Arslan Ahmad
Industry Expertise & Leadership
Arslan Ahmad is the lead author of Grokking LinkedIn Coding Interview. As the founder of Design Gurus and a former FAANG hiring manager, he has worked at industry giants like Facebook (now Meta) and Microsoft.
He has conducted hundreds of system design interviews, giving him unique insight into what top tech companies look for in candidates.
The course also incorporates expertise from senior engineers at Google, Meta, Amazon, Microsoft, and Uber, ensuring you learn system design best practices from professionals who have built and scaled real-world systems.
500+
Interviews Conducted
10k+
Students Taught
FAQs
What is Grokking LinkedIn Coding Interview?
It is the 40 coding questions asked most frequently in LinkedIn interviews. Each is a problem lesson you attempt in an in-browser editor, followed by a solution lesson with the approach, a step by step algorithm, a walkthrough, code in six languages, and the complexity analysis.
Who is this course for?
Engineers with a LinkedIn loop coming up who already have their data structures and patterns and want targeted final practice. If the patterns are still new, start with Grokking the Coding Interview and come back to this in the last few weeks.
Which problems are included?
Forty, among them Find Pivot Index, Isomorphic Strings, Valid Palindrome, Can Place Flowers, Sqrt, Rotate List, Find Leaves of Binary Tree, Valid Parenthesis String, Edit Distance, Decode Ways, Search in Rotated Array, Word Search, House Robber II, Coin Change, Design Add and Search Words Data Structure, Merge Intervals, Max Points on a Line, Word Ladder, Median of Two Sorted Arrays, and Serialize and Deserialize Binary Tree.
How are the problems distributed by difficulty?
10 easy, 24 medium, and 6 hard. LinkedIn leans medium more than it leans hard, so most of your time here is spent where most of your interview time will be.
What is the LinkedIn coding interview like?
A fairly conventional data structures and algorithms loop with a visible preference for tree problems, string manipulation, and questions that ask you to design a data structure rather than just use one. The problem mix reflects that. LinkedIn also weights clear communication heavily, which is why the solutions explain the route to an answer rather than only the answer.
Why does this course have 40 problems when the other company courses have 50?
Because the set is drawn from what LinkedIn actually asks rather than padded to a round number. Forty questions that recur is more useful preparation than fifty where the last ten are filler, and the shorter set is realistically finishable in the time most people have before an interview.
Which programming languages are supported?
Python, Java, C++, JavaScript, Go, and C#. Every solution is given in all six, so you can practise in the language you plan to use on the day.
Is this enough on its own to prepare for LinkedIn?
It is focused preparation for the coding rounds, not the whole loop. LinkedIn also runs system design and behavioral rounds, and no list can promise the questions you get. Treat the 40 as a way to make the underlying structures recognisable quickly.
Is the course text-based or video-based?
Text-based, with runnable code. Practice means attempting, running, failing, and rereading the walkthrough, and that cycle is far tighter on a page than in a video.
Do I get a certificate of completion?
Yes. Design Gurus issues a certificate once you have completed the course, and you can share the link directly or add it to your LinkedIn profile.
