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Algorithms for Coding Interviews in C++

The ultimate guide to coding interviews in C++. Developed by FAANG engineers, this course offers 50+ coding challenges, detailed solutions, and interview strategies to get you interview-ready in hours.

Intermediate

153 Lessons

15h

Certificate of Completion

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

This course includes

153 Playgrounds

51 Challenges

17 Quizzes

Course Overview

Course Content

Recommendations

Course Overview

With algorithms being arguably the most common theme in coding interviews, having a firm grip on them can be the difference between being hired and not. After this comprehensive course, you'll have an in-depth understanding of different algorithm types and be equipped with a simple process for approaching complexity analysis. As you progress, you’ll be exposed to the most important algorithms you're likely to encounter on an interview, work your way through over 50 interactive coding challenges, and review...Show More

With algorithms being arguably the most common theme in coding interviews, having a firm grip on them can be the difference betw...Show More

Course Content

Introduction

2 Lessons

Get familiar with essential algorithmic paradigms and interactive coding challenges in C++.

Who This Course Is For

Learning Outcomes

Algorithmic Paradigms

4 Lessons

Discover the logic behind brute force, greedy, divide and conquer, and dynamic programming.

Introduction to Complexity Measures

22 Lessons

Examine the complexity measures of algorithms, focusing on time and space efficiency.

Comparing Algorithms

Example: Measuring Time Complexity of a Single Loop Algorithm

Example: Time Complexity of an Algorithm With Nested Loops

Introduction to Asymptotic Analysis and Big O

Other Common Asymptotic Notations and Why Big O Trumps Them

Useful Formulae

Common Complexity Scenarios

Challenge: Big (O) of Nested Loop with Addition

Solution: Big (O) of Nested Loop with Addition

Challenge: Big (O) of Nested Loop with Subtraction

Solution: Big (O) of Nested Loop with Subtraction

Challenge: Big (O) of Nested Loop with Multiplication

Solution: Big (O) of Nested Loop with Multiplication

Challenge: Nested Loop with Multiplication (Basic)

Solution: Nested Loop with Multiplication (Basic)

Challenge: Nested Loop with Multiplication (Intermediate)

Solution: Nested Loop with Multiplication (Intermediate)

Challenge: Nested Loop with Multiplication (Advanced)

Solution: Nested Loop with Multiplication (Advanced)

Challenge: Nested Loop with Multiplication (Pro)

Solution: Nested Loop with Multiplication (Pro)

Complexity Quiz: Test your Understanding of Complexity

Sorting & Searching

26 Lessons

Grasp the fundamentals of sorting algorithms, efficient searching techniques, and solving array-based challenges.

Selection Sort, Bubble Sort, & Insertion Sort

Merge Sort

Quicksort

Overview of Sorting Algorithms

Searching Algorithms

Challenge: Find Two Numbers that Add up to "s"

Solution: Find Two Numbers that Add up to "s"

Challenge: Search in a Rotated Array

Solution: Search in a Rotated Array

Challenge: Group Anagrams

Solution: Group Anagrams

Challenge: Find the Median of Two Sorted Arrays

Solution: Find the Median of Two Sorted Arrays

Challenge: Find Duplicates in Array

Solution: Find Duplicates in Array

Challenge: Search in Sorted Matrix

Solution: Search in Sorted Matrix

Challenge: Count Element Occurrence

Solution: Count Element Occurrence

Challenge: Search Insert Position

Solution: Search Insert Position

Challenge: Sparse Search

Solution: Sparse Search

Challenge: Dutch National Flag Problem

Solution: Dutch National Flag Problem

Quiz on Sorting & Searching

Graph Algorithms

22 Lessons

Dig deeper into graph traversal, connectivity, bipartiteness, and topological sorting in C++.

Introduction to Graph Algorithms and Implementation

Challenge: Implement Breadth First Graph Traversal

Solution: Breadth First Graph Traversal

Challenge: Implement Depth First Graph Traversal

Solution: Depth First Graph Traversal

Challenge: Calculate the Number of Nodes in a Given Graph Level

Solution: Calculate the Number of Nodes in a Given Graph Level

Challenge: Print the Transpose of a Graph

Solution: Print the Transpose of a Graph

Challenge: Print all Paths Between Two Nodes

Solution: Print all Paths Between Two Nodes

Challenge: Check If Graph is Strongly Connected

Solution: Check if a Graph is Strongly Connected

Challenge: Print all Connected Components in a Graph

Solution: Print all Connected Components of a Graph

Challenge: Check if Removing Edge Creates Components in Graph

Solution: Check if Removing Given Edge Creates Components in Graph

Challenge: Check If Given Graph is Bipartite

Solution: Check If Given Graph is Bipartite

Challenge: Topological Sorting of a Graph

Solution: Topological Sorting of a Graph

Quiz on Graph Algorithms

Greedy Algorithms

23 Lessons

Focus on implementing and optimizing greedy algorithms for various problems in coding interviews.

Activity Scheduling Problem

Challenge: Counting Money

Solution: Counting Money

Challenge: Connecting n Pipes with Minimum Cost

Solution: Connecting n Pipes with Minimum Cost

Challenge: Find the Egyptian Fraction

Solution: Find the Egyptian Fraction

Challenge: Find Minimum Number of Platforms Required for a Train Station

Solution: Find Minimum Number of Platforms Required for a Train Station

Challenge: Help the Policemen Catch the Thieves

Solution: Help the Policemen Catch the Thieves

Challenge: Fractional Knapsack Problem

Solution: Fractional Knapsack Problem

Challenge: Largest Number with Given Number of Digits and Sum of Digits

Solution: Largest Number with Given Number of Digits and Sum of Digits

Challenge: Graph Coloring

Solution: Graph Coloring

Challenge: Find the Minimum Spanning Tree of the Given Graph

Solution: Find the Minimum Spanning Tree - Kruskal’s Solution

Solution: Find the Minimum Spanning Tree - Prim's Solution

Challenge: Find Shortest Distance of Each Node from the Source

Solution: Shortest Distance of Each Node from the Source

Quiz on Greedy Algorithms

Dynamic Programming

25 Lessons

Master dynamic programming techniques with practical examples like Fibonacci, Knapsack, Staircase, and more.

Calculating Fibonnacci Numbers

Introducing Dynamic Programming With Fibonacci Numbers

Memoizing Fibonacci Numbers

Tabulating Fibonacci Numbers

Challenge: The 0/1 Knapsack Problem

Solution: The 0/1 Knapsack Problem

Challenge: Staircase Problem

Solution: Staircase Problem

Challenge: The Partition Problem

Solution: The Partition Problem

Challenge: Longest Common Substring

Solution: Longest Common Substring

Challenge: Shortest Common Supersequence

Solution: Shortest Common Supersequence

Challenge: Longest Palindromic Subsequence

Solution: Longest Palindromic Subsequence

Challenge: The Coin Change Problem

Solution: Coin Change Problem

Challenge: Egg Dropping Problem

Solution: Egg Dropping Problem

Challenge: Strings Interleaving

Solution: Strings Interleaving

Challenge: Edit Distance Problem

Solution: The Edit Distance Problem

Quiz on Dynamic Programming

Divide and Conquer

23 Lessons

Learn how to use the divide and conquer strategy to solve algorithmic challenges efficiently.

Introduction to Divide and Conquer with Binary Search

Pascal's Triangle

Challenge: Euclidean Algorithm

Solution: Euclidean Algorithm

Challenge: Peak Element

Solution: Peak Element

Challenge: Maximum Subarray Sum

Solution: Maximum Subarray Sum

Challenge: Merge a Number of Sorted Arrays

Solution: Merge a Number of Sorted Arrays

Challenge: Collect Coins in Minimum Steps

Solution: Collect Coins in Minimum Steps

Challenge: Find The Closest Number

Solution: Find Closest Number

Challenge: Closest Pair of Points

Solution: Closest Pair of Points

Challenge: Missing Number in Sorted Array

Solution: Missing Number in Sorted Array

Challenge: Binary Search on Singly Linked List

Solution: Binary Search on Singly Linked List

Challenge: Shuffle Integers

Solution: Shuffle Integers

Quiz on Divide and Conquer

Appendix: Auxiliary Source Code

4 Lessons

Get started with essential STL classes, linked lists, array functions, and graph data structures.

10.

Conclusion

2 Lessons

Examine the importance of efficient algorithms and explore further learning resources for technical interviews.

Overview

Where to Go from Here

Course Author

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Free Resources

Frequently Asked Questions

How to prepare for a C++ coding interview

Focus on mastering data structures (arrays, linked lists, stacks, queues, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, greedy techniques). Practice solving problems on platforms like LeetCode, Codeforces, and HackerRank, and familiarize yourself with C++ STL. Understand time and space complexity and review common design patterns.

Is C++ good for coding interviews?

Yes, C++ is a solid choice for coding interviews. It provides a good mix of low-level control and high-level abstraction, with powerful tools like STL for fast implementations of algorithms and data structures. Its performance and memory management capabilities make it ideal for handling complex problems.

What are the most used C++ algorithms?

Common algorithms in C++ interviews include sorting algorithms (quick sort, merge sort), searching algorithms (binary search), graph algorithms (DFS, BFS, Dijkstra’s), dynamic programming (knapsack, longest common subsequence), and greedy algorithms (Huffman coding). STL algorithms like sort and lower_bound are also widely used.

Are C++ coders in demand?

Yes, C++ developers remain in high demand, especially in industries requiring performance-critical applications like gaming, finance, systems programming, and embedded systems. Their efficiency in handling large-scale, real-time applications makes them valuable skills in today’s job market.

Does Google hire C++ developers?

Yes, Google hires C++ developers for various roles, especially in systems engineering, infrastructure, and performance-critical applications. Google values C++ for its efficiency and control over hardware resources, making it essential for developing scalable, high-performance software solutions.