CF

Grokking Graph Algorithms for Coding Interviews

0h 0m 0s
English
Paid

This course is designed for software developers and anyone preparing for technical interviews at leading IT companies, including FAANG. Regardless of your level, whether you are a beginner or want to deepen your knowledge in graph algorithms, this course will help you master the subject from the ground up to an advanced level.

We will start with the basics: graph structures, breadth-first search (BFS) and depth-first search (DFS), matrix representations, and fundamental principles of graph theory. Then we will move on to more complex topics — Union-Find structure, topological sorting, shortest path algorithms (Dijkstra's, Bellman–Ford, Floyd-Warshall) and minimum spanning tree construction (Kruskal's, Prim's, Boruvka's).

Each module is accompanied by detailed explanations and practical tasks that will help reinforce the material and learn to apply algorithms in practice.

Our goal is to make you confident in solving graph problems and fully prepared for questions in technical interviews. Join us to master graph theory and successfully pass your next programming interview!

Additional

  • This is a text-based course. Please download the archive to get started.

About the Author: Design Gurus

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Design Gurus (designgurus.io) is the technical-interview-preparation platform founded by Arslan Ahmad, a former engineer at Facebook, Microsoft, and Hulu. The platform is best known for the Grokking the System Design Interview course — one of the most widely-used resources for the system-design portion of senior engineering interviews — alongside a deep catalog of coding-interview, behavioural, and ML / data-system design preparation material.

The Design Gurus approach is pattern-based: rather than memorising specific problems, the courses teach the recurring patterns (sliding window, two pointers, monolithic architecture, sharding strategies) that recur across interview question categories. The result is preparation that scales — engineers who study the patterns can solve problems they've never seen before, which is closer to what interviewers are actually testing for.

The CourseFlix listing under this source carries over 30 Design Gurus courses spanning coding interviews, system design, machine-learning system design, mobile system design, behavioural interviews, and the senior-level material aimed at staff-and-above engineering positions. Material is paid and aimed at engineers preparing for technical interviews at large tech companies.

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Frequently asked questions

What are the prerequisites for enrolling in this course?
The course is suitable for software developers at various levels, including beginners. However, a basic understanding of programming concepts and data structures will be beneficial. Familiarity with algorithms will also help, as the course dives into specific graph algorithms and their applications.
What kind of projects or exercises will I work on?
While specific project titles are not listed, the course includes practical tasks to reinforce understanding of graph algorithms. These tasks involve applying concepts such as breadth-first search, depth-first search, and shortest path algorithms like Dijkstra's and Bellman-Ford in practical scenarios.
Who is the target audience for this course?
The course is aimed at software developers and individuals preparing for technical interviews at leading IT companies, including FAANG. It caters to both beginners who want to learn graph algorithms from scratch and those looking to deepen their existing knowledge.
How does this course compare to other courses on graph algorithms?
This course covers basic to advanced graph algorithm topics, starting with structures, searching techniques, and progressing to complex algorithms like Union-Find, topological sorting, shortest paths, and minimum spanning trees. It is designed to provide a comprehensive understanding suitable for technical interviews.
What specific tools or platforms will I learn to use?
The course focuses on understanding and applying graph algorithms rather than using specific tools or platforms. It covers foundational concepts and algorithms like BFS, DFS, and various shortest path algorithms, which are universally applicable across different programming environments.
What topics or areas are not covered in this course?
The course focuses exclusively on graph algorithms and does not cover other unrelated areas of computer science or software development, such as database management, user interface design, or machine learning algorithms.
How valuable is the knowledge from this course for a career in software development?
The knowledge gained from this course is highly valuable for software development, especially for roles that require strong algorithmic problem-solving skills. Mastery of graph algorithms is crucial for technical interviews and can be applied in various domains, including network design, optimization problems, and data analysis.