Crack the Amazon Coding Interview: 15 LeetCode Patterns
Pass the Amazon coding interview by learning 15 reusable LeetCode patterns instead of grinding 300 random problems — with optimised solutions for each one.
Patterns, not problem counts
Three hundred solved problems does not make an Amazon offer; recognising which of fifteen patterns a new problem belongs to does. Every lesson names the recognition signal, writes the brute force and explains why it times out, then applies the pattern and states the complexity out loud.
This course is in production. The written pattern guides on the blog cover the same material and are free.
Read the 15 LeetCode patterns guide · Start with the sliding window pattern
Curriculum
- Orientation — Inside the Amazon Loop — 3 lessons, 24 min
- Complexity & The Toolbox — 5 lessons, 46 min
- Two Pointers — 6 lessons, 59 min
- Sliding Window — 7 lessons, 1h 15m
- Fast & Slow Pointers — 4 lessons, 37 min
- Linked List In-Place Reversal — 4 lessons, 46 min
- Stacks & Monotonic Stacks — 5 lessons, 54 min
- Modified Binary Search — 6 lessons, 1h 8m
- Trees — BFS — 5 lessons, 50 min
- Trees — DFS — 6 lessons, 1h 2m
- Graphs on Grids & Nodes — 7 lessons, 1h 18m
- Topological Sort — 4 lessons, 49 min
- Heaps & Top-K — 6 lessons, 1h 11m
- Subsets & Backtracking — 7 lessons, 1h 24m
- Dynamic Programming — 10 lessons, 2h 2m
- Greedy & Intervals — 5 lessons, 55 min
- Tries & Union-Find — 5 lessons, 1h 2m
- Amazon Design Problems (LRU, LFU, O(1) sets) — 5 lessons, 1h 1m
- Amazon Most-Asked Rapid-Fire — 6 lessons, 1h 7m
- Mock Interviews & Leadership Principles — 5 lessons, 1h 4m
Frequently asked questions
Which LeetCode patterns does the Amazon course cover?
Fifteen: two pointers, sliding window, fast and slow pointers, in-place linked list reversal, stacks and monotonic stacks, modified binary search, tree BFS, tree DFS, graphs on grids, topological sort, heaps and top-K, subsets and backtracking, dynamic programming, greedy and intervals, and tries with union-find.
Why learn 15 patterns instead of grinding 300 problems?
Amazon rarely asks a problem you have already memorised. It asks a new problem that maps to a pattern you know. Learning the recognition signal for each pattern transfers to unseen problems; memorised solutions do not.
Do I need a computer science degree?
No. You need one language you are comfortable in and a basic idea of what an array, hash map, and linked list are. Examples are given in Python and Java, and the course re-teaches every data structure a pattern depends on.
Does the course cover Amazon Leadership Principles?
Yes. The final section maps your own project stories to the 14 Leadership Principles using the STAR structure, because the behavioural round is roughly half of the Amazon loop.
How long is the Amazon course?
It contains 111 lessons across 20 sections, four narrated mock interviews and five downloadable cheat sheets, at roughly 16 hours of video and about 11 minutes per lesson.
When does the Amazon course launch?
It is in production. The full curriculum is published on this page, and the free written pattern guides on the blog cover the same material in the meantime.