Interview Prep · cloudaqube · advanced
Graph Theory for Technical Interviews
Graphs are everywhere in social networks, recommendation engines, and logistics. This course teaches you how to model real-world problems as graphs and solve them using BFS, DFS, Topological Sort, and Dijkstra's algorithm. Based on the NeetCode and Grokking patterns, you will master the most common graph challenges seen in FAANG interviews.
- 10 hours
- 13 lessons
- 5 modules
- updated April 2026
Try it before you sign up
Read a full lesson from Module 1. No account needed.
BFS vs DFS: When to Use Which?
5 modules, 13 lessons
Module 1 is free — lessons, hands-on walkthrough and quiz.
- readBFS vs DFS: When to Use Which?45 min
- videoVideo: Graph Algorithms for Beginners60 min
- hands-onHands-on: Number of Islands60 min
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 2 guided hands-on walkthroughs you run in a real environment.
- 02 Last updated April 2026.
- 03 Any module can become a hands-on lab in Labs Studio.
What you'll be able to do
- 01 Model complex problems as Adjacency Lists and Matrices in Python
- 02 Master Breadth-First Search (BFS) for finding shortest paths in unweighted graphs
- 03 Apply Depth-First Search (DFS) for connectivity and cycle detection
- 04 Implement Topological Sort for dependency resolution (e.g., Course Schedule)
- 05 Solve weighted shortest path problems using Dijkstra's algorithm and Priority Queues
- — Strong understanding of recursion and queue/stack data structures
- — Familiarity with Python dictionaries and sets
Before you start
How long does it take?
About 10 hours of lessons, videos and hands-on walkthroughs across 5 modules.
What’s free?
Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 5 modules, and starts with a 14-day free trial.
Start the course with Module 1 free.
No card required. Unlock every module from $8.99/mo when you’re ready.