Grokking the Coding Interview Patterns in C++ - AI-Powered Learning for Developers

Grokking the Coding Interview Patterns in C++

Your roadmap to C++ coding interview success. Learn a few patterns to unlock hundreds of top LeetCode questions. Hack your coding interview prep with this proven resource by Meta & Google engineers.

Intermediate

427 Lessons

85h

Certificate of Completion

Your roadmap to C++ coding interview success. Learn a few patterns to unlock hundreds of top LeetCode questions. Hack your coding interview prep with this proven resource by Meta & Google engineers.

AI-POWERED

Code Feedback

Mock Interview

Explanations

AI-POWERED

Code Feedback

Mock Interview

This course includes

288 Playgrounds

228 Challenges

229 Quizzes

This course includes

288 Playgrounds

228 Challenges

229 Quizzes

Course Overview

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...Show More

TAKEAWAY SKILLS

C++

Programming Language

Prepare For Interview

Coding Interview Patterns

Data Structures

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

What You'll Learn

Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets

Course Content

Getting Started

Kickstart your journey with an overview of the course, including its structure and key objectives to prepare you for coding interviews using C++.

Course Overview

Who Should Take This Course

Two Pointers

Learn to solve problems using the Two Pointers technique, streamlining solutions for tasks like checking palindromes and removing list nodes.

Introduction to Two Pointers

Valid Palindrome Solution: Valid Palindrome

3Sum Solution: 3Sum

Remove Nth Node from End of List Solution: Remove Nth Node from End of List

Sort Colors Solution: Sort Colors

Reverse Words in a String Solution: Reverse Words in a String Valid Word Abbreviation Solution: Valid Word Abbreviation

Valid Palindrome II

Fast and Slow Pointers

Learn about Fast and Slow Pointers by solving problems like cycle detection, finding middle elements, and other linked list challenges.

Introduction to Fast and Slow Pointers

Happy Number Solution: Happy Number

Linked List Cycle Solution: Linked List Cycle

Middle of the Linked List Solution: Middle of the Linked List

Circular Array Loop Solution: Circular Array Loop

Find the Duplicate Number Solution: Find the Duplicate Number

Palindrome Linked List Solution: Palindrome Linked List

Sliding Window

Learn how to dynamically adjust windows using the Sliding Window pattern to solve maximum, minimum, and substring problems in sequences.

Introduction to Sliding Window

Repeated DNA Sequences Solution: Repeated DNA Sequences

Sliding Window Maximum Solution: Sliding Window Maximum

Minimum Window Subsequence Solution: Minimum Window Subsequence

Longest Repeating Character Replacement Solution: Longest Repeating Character Replacement

Minimum Window Substring Solution: Minimum Window Substring

Longest Substring without Repeating Characters Solution: Longest Substring without Repeating Characters

Minimum Size Subarray Sum Solution: Minimum Size Subarray Sum

Best Time to Buy and Sell Stock

Merge Intervals

This chapter introduces the Merge Intervals pattern to solve problems by combining overlapping intervals and managing continuous data segments effectively.

Introduction to Merge Intervals

Merge Intervals Solution: Merge Intervals

Insert Interval Solution: Insert Interval

Interval List Intersections Solution: Interval List Intersections

Employee Free Time Solution: Employee Free Time

Task Scheduler Solution: Task Scheduler

Meeting Rooms II

In-Place Manipulation of a Linked List

14 Lessons

Discover techniques for in-place manipulation of linked lists, focusing on efficient algorithms to reverse, reorder, and swap nodes with optimal complexities.

Two Heaps

11 Lessons

Learn how to use the Two Heaps pattern to maintain ordered data, solving dynamic problems like finding medians and task scheduling.

K-way merge

11 Lessons

This chapter teaches the K-way Merge pattern to efficiently combine multiple sorted arrays or lists into a single sorted output.

Top K Elements

11 Lessons

Learn the Top K Elements pattern for identifying the most significant items in a dataset, such as finding the largest values or most frequent elements.

10.

Modified Binary Search

16 Lessons

In this chapter, you’ll explore the Modified Binary Search pattern to solve problems within sorted arrays or intervals by dividing the search space efficiently.

11.

Subsets

10 Lessons

This chapter demonstrates the Subsets pattern, teaching you how to generate all possible subsets or combinations from a given data set efficiently.

12.

Greedy Techniques

14 Lessons

Learn about the Greedy Techniques pattern to solve optimization problems by making the optimal local choices at each step to get the best overall solution.

13.

Backtracking

15 Lessons

Discover Backtracking pattern in this chapter to explore all potential solutions by constructing and pruning paths to solve complex combinatorial problems.

14.

Dynamic Programming

32 Lessons

This chapter explores Dynamic Programming, breaking down complex problems into simpler overlapping subproblems and using previously computed solutions.

15.

Cyclic Sort

8 Lessons

Learn the Cyclic Sort pattern to efficiently place elements in their correct positions, solving problems involving missing or duplicated numbers.

16.

Topological Sort

12 Lessons

This chapter covers how to use the Topological Sort pattern to solve problems that involve dependencies, such as course scheduling, and recipe preparation.

17.

Matrices

9 Lessons

This chapter introduces the Matrices pattern to solve problems involving matrix traversal, transformations, and element searches.

18.

Stacks

14 Lessons

Learn how to solve problems using stacks by employing the last-in-first-out approach for tasks like balancing parentheses and evaluating expressions.

19.

Graphs

13 Lessons

Learn the Graphs pattern, including traversal techniques and solutions for shortest path, node connectivity, and network flow analysis in this chapter.

20.

Tree Depth-First Search

29 Lessons

This chapter explores the Tree Depth-first Search (DFS) pattern to handle binary tree challenges such as traversals, pathfinding, subtree analysis, and more.

21.

Tree Breadth-First Search

14 Lessons

Learn about the Tree Breadth-first Search pattern in this chapter to solve problems like level order traversal and shortest path finding in trees.

22.

Trie

14 Lessons

Explore the Trie pattern in this chapter to efficiently solve string manipulation problems, including prefix searches and auto-completion.

23.

Hash Maps

16 Lessons

This chapter covers Hash Maps, utilizing key-value pairs to efficiently solve problems like frequency counting, lookups, and managing duplicates.

24.

Knowing What to Track

18 Lessons

In this chapter, learn the Knowing What to Track pattern to solve problems by monitoring counts and indices, with strategies for anagrams, palindromes, etc.

25.

Union Find

18 Lessons

Learn the Union Find pattern to manage network connectivity problems, such as finding connected components and detecting cycles in graphs.

26.

Custom Data Structures

16 Lessons

This chapter covers designing Custom Data Structures to solve specialized problems, optimizing for unique use-cases and improving efficiency.

27.

Bitwise Manipulation

14 Lessons

Learn Bitwise Manipulation pattern to efficiently solve problems involving binary representations, bit masks, and performing low-level operations.

28.

Challenge Yourself

40 Lessons

Learn to solve advanced problems in this chapter to test and reinforce your understanding of various coding patterns taught in the course.

29.

Conclusion

1 Lesson

Summarize key learnings and get guidance on the next steps to continue your coding interview preparations effectively and confidently.

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