CF

Grokking Graph Algorithms for Coding Interviews

0h 0m 0s
English
Paid

Grokking Graph Algorithms for Coding Interviews is a self-paced course by Design Gurus. Master Graph Algorithms for Technical Interviews This self-paced, text-based course from Design Gurus is built specifically around one recurring interview topic: graphs.

Course facts

Lessons
0
Duration
self-paced
Level
All levels
Language
English
Updated
Instructor
Design Gurus
Price
Premium

Master Graph Algorithms for Technical Interviews

This self-paced, text-based course from Design Gurus is built specifically around one recurring interview topic: graphs. It's aimed at developers preparing for technical interviews at major tech companies, including FAANG, and works for complete beginners as well as engineers looking to sharpen existing knowledge.

How the Material Progresses

You start with the fundamentals — graph structures, matrix representations, breadth-first and depth-first search, and the core principles of graph theory — before moving into more advanced ground: Union-Find, topological sorting, shortest-path algorithms (Dijkstra's, Bellman-Ford, Floyd-Warshall), and minimum spanning trees (Kruskal's, Prim's, Boruvka's).

How You Practice

Every module pairs its explanations with practical tasks, so the goal isn't just recognizing an algorithm by name but being able to apply it under interview conditions.

Additional

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

Who teaches Grokking Graph Algorithms for Coding Interviews? 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.