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Grokking the Coding Interview Patterns - AI-Powered Course 
JavaImportant Coding Interview ProblemsTechniques for Coding Interviews
Popular
4.6
Intermediate
85h
Updated this week
Grokking the Coding Interview Patterns
Master 28 Coding Patterns to Crack Interviews Without Endless LeetCode.
Cut months off your prep by mastering the core patterns behind Blind 75 and beyond.
Join 2.8M developers at
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Overview
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With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. Yet with a strategic approach, coding interview prep doesn’t have to take more than a few weeks. Stop drilling endless sets of practice problems, and prepare more efficiently by learning coding interview patterns.
This course teaches you the underlying patterns behind common coding interview questions. By learning these essential patterns, you will be able to unpack and answer any problem the right way — just by assessing the problem statement. This approach was created by FAANG hiring managers to help you prepare for the typical rounds of interviews at major tech companies like Apple, Google, Meta, Microsoft, and Amazon.
Before long, you will have the skills you need to unlock even the most challenging questions, grok the coding interview, and level up your career with confidence.
This course is also available in JavaScript, Python, Go, and C++ — with more coming soon!
With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. ...Show More
WHAT YOU'LL LEARN
Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets
Identify the underlying pattern of each interview question by assessing the problem statement (and learn the tricks required to solve it)
Practice your skills in a hands-on, setup-free coding environment
Learn to efficiently evaluate the tradeoffs between time and space complexity in different solutions
Develop a flexible conceptual framework for solving any question, by connecting problem characteristics, solution techniques, and coding design patterns
Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets
Show more
TAKEAWAY SKILLS
Java
Programming Language
Prepare for Interview
Coding Interview Patterns
Data Structures
Python
Content
835 Lessons434 Quizzes433 Challenges
1.
Getting Started
2 Lessons
Get familiar with coding design patterns to excel in coding interviews.
2.
Two Pointers
38 Lessons
Walk through the fundamentals of the two-pointers technique for solving various coding problems.
Introduction to Two PointersValid PalindromeSolution: Valid Palindrome3SumSolution: 3SumRemove Nth Node from End of ListSolution: Remove Nth Node from End of ListSort ColorsSolution: Sort ColorsReverse Words in a StringSolution: Reverse Words in a StringValid Word AbbreviationSolution: Valid Word AbbreviationStrobogrammatic NumberSolution: Strobogrammatic NumberMinimum Number of Moves to Make PalindromeSolution: Minimum Number of Moves to Make PalindromeNext Palindrome Using Same DigitsSolution: Next Palindrome Using Same DigitsLowest Common Ancestor of a Binary Tree IIISolution: Lowest Common Ancestor of a Binary Tree IIICount Pairs Whose Sum is Less than TargetSolution: Count Pairs Whose Sum is Less than TargetCount Subarrays With Fixed BoundsSolution: Count Subarrays With Fixed BoundsGet the Maximum ScoreSolution: Get the Maximum ScoreFind the Lexicographically Largest String From Box IISolution: Find the Lexicographically Largest String From Box IICreate Maximum NumberSolution: Create Maximum NumberAppend Characters to String to Make SubsequenceSolution: Append Characters to String to Make SubsequenceSquares of a Sorted ArraySolution: Squares of a Sorted ArrayReverse StringSolution: Reverse StringValid Palindrome II
3.
Fast and Slow Pointers
21 Lessons
Go hands-on with fast and slow pointers to detect cycles, middle nodes, and duplicates.
4.
Sliding Window
31 Lessons
Grasp the fundamentals of efficiently solving subarray and substring problems using the sliding window technique.
5.
Intervals
18 Lessons
Map out the steps for solving overlapping interval problems in various contexts.
6.
In-Place Manipulation of a Linked List
24 Lessons
Follow efficient in-place linked list manipulation techniques for various node reordering and removal tasks.
7.
Heaps
25 Lessons
Build on efficient data structures and algorithms using heaps for dynamic data processing.
8.
K-way merge
15 Lessons
Step through the key techniques and algorithms for efficiently merging sorted data structures.
9.
Top K Elements
37 Lessons
Unpack the core of identifying top K elements using heaps in various scenarios.
10.
Modified Binary Search
32 Lessons
Break apart various search techniques using modified binary search for different problem scenarios.
11.
Subsets
14 Lessons
Grasp the fundamentals of subsets, permutations, letter combinations, balanced parentheses, and k-sum subsets.
12.
Greedy Techniques
31 Lessons
Dig deeper into the application and optimization of greedy algorithms across various problem scenarios.
13.
Backtracking
33 Lessons
See how it works to solve problems using backtracking, from N-Queens to Sudoku.
14.
Dynamic Programming
36 Lessons
Master dynamic programming concepts, optimize solutions using memoization and tabulation for complex problems.
15.
Cyclic Sort
12 Lessons
Break down cyclic sort for efficient in-place sorting and finding missing, duplicate integers.
16.
Topological Sort
18 Lessons
Discover the logic behind topological sorting to solve dependency-based challenges and tasks.
17.
Sort and Search
31 Lessons
Solve problems by organizing data through sorting and applying binary search, two-pointer, and sliding window for efficient solutions.
18.
Matrices
35 Lessons
Examine matrix operations, problem-solving methods, real-world applications, and algorithmic solutions for matrix traversal and transformations.
19.
Stacks
28 Lessons
Grasp the fundamentals of stacks, their operations, and applications in various problems.
20.
Graphs
31 Lessons
Take a closer look at graph theory, algorithms, traversals, and solving various graph-related problems.
21.
Tree Depth-First Search
35 Lessons
See how it works to explore, transform, analyze, and optimize various binary tree operations.
22.
Tree Breadth-First Search
24 Lessons
Build on performing efficient tree traversals with BFS approaches for various problems.
23.
Trie
28 Lessons
Step through efficiently managing strings with trie data structures and practical applications.
24.
Hash Maps
38 Lessons
Discover the logic behind designing hash maps, solving data structure challenges, and optimal algorithms.
25.
Knowing What to Track
30 Lessons
Examine efficient data tracking patterns and solutions for frequency-related problems.
26.
Union Find
28 Lessons
Grasp the fundamentals of the union-find algorithm and its applications in various graph problems.
27.
Custom Data Structures
32 Lessons
Dig into custom data structures for efficient, scalable solutions in complex coding challenges.
28.
Bitwise Manipulation
30 Lessons
Simplify complex topics in bitwise manipulation for efficient problem-solving and optimization.
29.
Math and Geometry
37 Lessons
Explore mathematical and geometric coding challenges, focusing on efficiency and problem-solving techniques.
30.
Challenge Yourself
40 Lessons
Master the steps to tackle diverse coding problems, enhancing problem-solving skills and strategic thinking.
31.
Conclusion
1 Lessons
Learn how to use the course's concepts for continued success in coding interviews.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
Trusted by 2.8 million developers working at companies
"Great content, both theoretical and in terms of the selected problems. I do feel much stronger now in tackling various problems and utilizing a diverse set of patterns."
Vlad
Learner
"The flexibility to learn at my own pace, combined with a supportive community, kept me motivated and on track."
Abayomi O
Learner
"One of my key goals was to enhance my problem-solving skills for coding interviews. Educative's Grokking the Coding Interview course was instrumental"
Abayomi O
Learner
"Educative has been a game-changer in my learning journey. I particularly appreciated the in-browser coding environments, which allowed me to practice without any setup hassles."
Abayomi O
Learner
"Overall, it is excellent, I like the explanations very much and they are very detailed with picture animations."
John Tang
Learner
"Your explanations are great. The diagrams help understand the concepts easily."
Anant Rao
Learner
Hands-on Learning Powered by AI
See how Educative uses AI to make your learning more immersive than ever before.
AI Prompt
Build prompt engineering skills. Practice implementing AI-informed solutions.
Code Feedback
Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.
Explain with AI
Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.
AI Code Mentor
AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!
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Frequently Asked Questions
Is Java good for coding interviews?
Yes, Java is excellent for coding interviews. It’s a popular and widely used programming language in the industry and effectively supports core data structures and algorithms. Java’s strong typing and object-oriented features help write clear, maintainable code, making it a solid choice for technical interviews.
How to crack Java coding interviews?
To crack Java coding interviews, thoroughly understand the basics, including OOP principles (inheritance, encapsulation), Java data structures (arrays, lists, maps), exception handling, and multithreading. Practice coding problems on platforms like Educative, LeetCode, and HackerRank to apply these concepts effectively.
How can I prepare for a Java interview fast?
Practice coding by solving coding exercises and practice problems on platforms like Educative, LeetCode, and HackerRank to improve your problem-solving skills for the Java coding interview. Conduct mock interviews with friends, colleagues, or online platforms like Educative to simulate the real Java technical interview experience.
What are the coding patterns?
Coding patterns are common strategies or techniques for solving recurring coding problems asked in coding interviews. They include approaches like two pointer techniques, sliding windows, backtracking, greedy algorithms, and dynamic programming, which help efficiently tackle various algorithmic challenges.
Which coding platform is best for interviews?
LeetCode offers diverse problems for interview prep, and HackerRank is great for learning Python basics. However, Educative stands out by combining interactive lessons to learn Python deeply and coding challenges to practice, all in one platform, making it the ideal choice for comprehensive interview preparation.
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