5.0
Intermediate
15h
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.
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.
With algorithms being arguably the most common theme in coding interviews, having a firm grip on them can be the difference betw...Show More
Content
1.
Introduction
2 Lessons
Get familiar with essential algorithmic paradigms and interactive coding challenges in C++.
2.
Algorithmic Paradigms
4 Lessons
Discover the logic behind brute force, greedy, divide and conquer, and dynamic programming.
3.
Introduction to Complexity Measures
22 Lessons
Examine the complexity measures of algorithms, focusing on time and space efficiency.
4.
Sorting & Searching
26 Lessons
Grasp the fundamentals of sorting algorithms, efficient searching techniques, and solving array-based challenges.
5.
Graph Algorithms
22 Lessons
Dig deeper into graph traversal, connectivity, bipartiteness, and topological sorting in C++.
6.
Greedy Algorithms
23 Lessons
Focus on implementing and optimizing greedy algorithms for various problems in coding interviews.
7.
Dynamic Programming
25 Lessons
Master dynamic programming techniques with practical examples like Fibonacci, Knapsack, Staircase, and more.
8.
Divide and Conquer
23 Lessons
Learn how to use the divide and conquer strategy to solve algorithmic challenges efficiently.
9.
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.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
Developed by MAANG Engineers
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