The Interview Path
From Java engineer to interview-ready.
Data structures and algorithms in Java, taught pattern by pattern - complexity, arrays and strings, linked structures, hashing, trees, graphs, heaps, recursion and dynamic programming - plus the interview itself: system-design basics and how to communicate under pressure.
Prerequisite
Assumes the Core Java path (or equivalent). You should be comfortable with classes, generics, collections, and recursion before drilling algorithms.
- 🎯Module 0
Complexity & Problem-Solving
Think in trade-offs before you write a line.
6 lessons · 1 h 21 min0/6Start - 🔢Module 1
Arrays & Strings
The patterns behind half of all interview questions.
5 lessons · 1 h 11 min0/5Start - 🔗Module 2
Linked Lists, Stacks & Queues
Pointer surgery and the structures built on it.
5 lessons · 1 h 13 min0/5Start - 🗝️Module 3
Hashing & Sets
The O(1) lookup behind most fast solutions.
5 lessons · 1 h 9 min0/5Start - 🌳Module 4
Trees & BSTs
Recursion's natural home.
5 lessons · 1 h 13 min0/5Start - 🕸️Module 5
Graphs
The structure behind maps, networks, and dependencies.
5 lessons · 1 h 16 min0/5Start - 🔍Module 6
Heaps, Sorting & Searching
Binary search, sorting, and the top-k toolkit.
5 lessons · 1 h 14 min0/5Start - 🧠Module 7
Recursion, Backtracking & DP
The hardest patterns, demystified.
5 lessons · 1 h 19 min0/5Start - 💬Module 8
The Interview Itself
Everything around the code that also decides the outcome.
5 lessons · 1 h 8 min0/5Start