Many users find Grokking the Coding Interview useful as it provides a structured approach to understanding and solving common coding patterns. It helps you recognize and apply key strategies across various problems, improving problem-solving skills and boosting confidence for technical interviews. Educative offers this course in 6 languages, covering 228 coding problems in detail.
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Grokking the Coding Interview Patterns in C++
The ultimate guide to coding interviews in C++, Grokking the Coding Interview Patterns in C++ teaches proven strategies developed by FAANG engineers to get interview-ready in just a few hours.
4.7
1126 Lessons
17 Mock Interviews
85h
Updated this week
Select your Language
Select your Language
Join 3 million developers at
Join 3 million developers at
LEARNING OBJECTIVES
- Analyze and apply coding interview patterns to solve common algorithmic problems effectively.
- Implement dynamic programming techniques to optimize solutions for complex problems.
- Utilize hash maps to enhance data retrieval and frequency analysis in coding challenges.
- Employ depth-first and breadth-first search strategies to traverse and manipulate tree structures.
- Design and implement custom data structures to solve specific coding interview problems.
KEY OUTCOMES
Ace Coding Interviews
Demonstrate proficiency in solving algorithmic problems using established coding patterns, enhancing your interview performance.
Optimize Problem Solutions
Apply dynamic programming techniques to efficiently tackle complex coding challenges, showcasing your analytical skills.
Leverage Hash Maps Effectively
Utilize hash maps for efficient data management and retrieval, enabling you to solve frequency-based problems with confidence.
Master Tree Traversal Techniques
Implement depth-first and breadth-first search methods to navigate and manipulate binary trees, preparing you for related interview questions.
Design Custom Data Structures
Create and implement tailored data structures to address specific coding challenges, demonstrating your problem-solving capabilities.
Why choose this course?
Learn 28 Non-negotiable Coding Patterns
Begin your journey with core coding patterns like Two Pointers, Binary Search, and Linked List manipulation. Each problem is a paired challenge and solution: first implement your own approach, then study a step-by-step optimal solution.
Master Advanced Algorithms and Data Structures
Level up with complex topics such as Dynamic Programming, Graphs, Tries, and Union Find. These advanced patterns often appear in the toughest interviews and will prepare you to approach difficult questions with confidence and clarity.
Mock Interviews for Every Coding Pattern
At the end of each chapter, take an AI-driven mock interview. Practice under real conditions and strengthen your ability to explain solutions clearly.
Put Your Skills to the Test
Wrap up your preparation in the Challenge Yourself section, where problems are presented without pattern labels. This sharpens your ability to recognize the right approach on your own, just like in a real interview.
Learning Roadmap
1.
Two Pointers
Introduction to Two Pointers
Valid Palindrome
3Sum
med
Remove nth Node from End of List
med
Sort Colors
med
Reverse Words in a String
med
Valid Word Abbreviation
Valid Palindrome II
Lowest Common Ancestor of a Binary Tree III
med
Strobogrammatic Number
Minimum Number of Moves to Make Palindrome
hard
Next Palindrome Using Same Digits
hard
Count Subarrays With Fixed Bounds
hard
Find the Lexicographically Largest String From Box II
hard
Get the Maximum Score
hard
Create Maximum Number
hard
Append Characters to String to Make Subsequence
med
Squares of a Sorted Array
Reverse String
Intersection of Two Linked Lists
Partition Labels
med
Remove Element
String Compression
med
Rotate Array
med
Next Permutation
med
Remove Duplicates from Sorted Array
Reverse Vowels of a String
Is Subsequence
Merge Strings Alternately
Compare Version Numbers
med
Move Zeroes
med
Longest Subarray of 1's After Deleting One Element
med
Backspace String Compare
med
Next Greater Element III
med
Rotating the Box
med
2.
Fast and Slow Pointers
Master the steps to use fast and slow pointers for cycle detection and mid-point identification.
3.
Sliding Window
4.
Intervals
Solve problems in merging intervals, inserting and finding intersections of intervals, scheduler tasks, and determining employee free time.
5.
In-Place Manipulation of a Linked List
Tackle in-place linked list manipulations for efficient and memory-optimized operations.
6.
Two Heaps
Master the steps to optimize dynamic data processing and decision-making using heaps.
7.
K-way Merge
Learn how to use k-way merge for efficient data merging and finding k-th small elements.
8.
Top K Elements
Walk through the top k elements pattern and learn efficient selection using heaps.
9.
Modified Binary Search
10.
Subsets
Grasp the fundamentals of generating subsets, permutations, and combinations.
11.
Greedy Techniques
12.
Backtracking
Explore backtracking algorithm for solving complex problems like N-Queens, word search, binary tree paths, and Sudoku.
13.
Dynamic Programming
Solves complex problems by breaking them into smaller overlapping subproblems and storing results to avoid redundant computations, optimizing time and space.
14.
Cyclic Sort
Step through cyclic sort concepts to efficiently handle various missing and corrupt number scenarios.
15.
Topological Sort
16.
Sort and Search
17.
Matrices
18.
Stacks
19.
Graphs
Represents a set of connected nodes or vertices, allowing for traversal and analysis of relationships or connections between data points.
20.
Tree Depth-First Search
21.
Tree Breadth-First Search
22.
Trie
Step through efficient trie implementations to optimize search suggestions, word replacements, and common prefix finding.
23.
Hash Maps
24.
Knowing What to Track
25.
Union Find
Enhance your skills in Union-Find to address diverse graph and connectivity problems.
26.
Custom Data Structures
Dig into creating and implementing custom data structures for solving specialized problems efficiently.
27.
Bitwise Manipulation
28.
Math and Geometry
29.
Challenge Yourself
Test your understanding of various coding challenges focusing on algorithm efficiency.
Course Author:
Developed by MAANG Engineers
ABOUT THIS COURSE
For years, coding interviews at companies like Google, Meta, Amazon, and Microsoft have followed consistent patterns, yet most candidates still prepare in ways that don’t reflect how these interviews actually work. Solving hundreds of problems can build familiarity, but it rarely builds the ability to recognize patterns or approach new questions with confidence. What these interviews really test is your ability to break down unfamiliar problems and apply the right strategy under pressure.
This course was built around a simple observation: strong candidates rely on structure instead of memorization. After working closely with how developers learn and where they struggle, it became clear that the biggest gap wasn’t knowledge, but approach. Without a clear framework, even well-prepared candidates can get stuck when a problem looks slightly different from what they’ve seen before. Instead of treating each question as unique, this course organizes coding interview prep around a set of core patterns that appear again and again.
You’ll learn how to recognize these patterns, understand the reasoning behind them, and apply them across a wide range of problems. The course is fully hands-on, with interactive exercises, detailed explanations, and support for multiple languages, including Python, Java, JavaScript, C#, and Go.
This pattern-based approach has helped a large number of developers prepare more efficiently and perform better in interviews. If you’re looking for a more structured way to prepare and a path to grokking the coding interview rather than memorizing it, this course is designed to get you there. This course is also available in JavaScript, Java, Python, C#, and Go, with more coming soon!
ABOUT THE AUTHOR
Fahim ul Haq
Software Engineer, Distributed Storage at Meta and Microsoft, Educative (Co-founder & CEO)
Trusted by 3 million developers working at companies
S
Sanjukta S
Learner
P
Purnendu B
PNT Data
K
Keerthan S
Celstream Technologies
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