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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.

5.0
153 Lessons
15h
Updated this week
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • Analyze time and space complexity using Big O and related asymptotic notations
  • Compute loop and nested-loop complexity by counting primitive operations in C++
  • Apply brute force, greedy, divide and conquer, and dynamic programming to interview problems
  • Implement and compare sorting and searching algorithms (merge, quick, insertion, selection, binary search)
  • Build C++ graph solutions using adjacency lists, BFS/DFS traversals, and connected components
  • Solve core graph tasks in C++ (bipartite check, topological sort, MST, shortest paths, transpose)

Learning Roadmap

153 Lessons17 Quizzes51 Challenges

1.

Introduction

Introduction

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

2.

Algorithmic Paradigms

Algorithmic Paradigms

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

3.

Introduction to Complexity Measures

Introduction to Complexity Measures

22 Lessons

22 Lessons

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

4.

Sorting & Searching

Sorting & Searching

26 Lessons

26 Lessons

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

5.

Graph Algorithms

Graph Algorithms

22 Lessons

22 Lessons

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

6.

Greedy Algorithms

Greedy Algorithms

23 Lessons

23 Lessons

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

7.

Dynamic Programming

Dynamic Programming

25 Lessons

25 Lessons

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

8.

Divide and Conquer

Divide and Conquer

23 Lessons

23 Lessons

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

9.

Appendix: Auxiliary Source Code

Appendix: Auxiliary Source Code

4 Lessons

4 Lessons

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

10.

Conclusion

Conclusion

2 Lessons

2 Lessons

Examine the importance of efficient algorithms and explore further learning resources for technical interviews.
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Developed by MAANG Engineers
ABOUT THIS COURSE
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 detailed solutions for each problem. You’ll walk away with the ability to build up to the optimal solution for addressing those tough coding interview questions head-on. This course is the latest addition to our popular Interview Refresher series, which has helped developers land jobs in top companies including Google, Microsoft, and Apple.
ABOUT THE AUTHOR
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Coderust

Coderust helps software developers like you ace your coding interviews. Our interactive interview-prep courses encourage you to get hands-on with the material and practice working through problems.

Learn more about Coderust

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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.

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