Lesson 284 min read

Your Study Plan: Blind 75, NeetCode 150 & an 8-Week Schedule

November 05, 2026

// TL;DR

Knowing the patterns is necessary but not sufficient — you clear the round by doing the reps. The canonical lists are Blind 75 (the essential 75) and NeetCode 150 (75 + 75 more). This course's 24 pattern lessons cover every NeetCode 150 category, and each has a tested practice set. The plan: 8 weeks, ~1–2 patterns per week, 5–12 problems each, timed; a weekly mixed review; mock interviews in the last two weeks. On every problem, name the pattern out loud before you code. Pair this with behavioural prep and, for senior roles, the system design course.

You now have the whole toolkit — 24 patterns, each with a template, a diagram, and a tested practice set. This final lesson is about turning that knowledge into a pass. Recognition is the skill, and recognition only comes from deliberate, timed practice against a curated list. Here is exactly how to do that.

The two canonical lists

Almost everyone who clears a MAANG coding round works through one of two famous lists. You do not need to grind 500 random problems; you need the right ~75–150.

  • Blind 75 — the original essential list (75 problems) that a Meta engineer compiled. It has at least one problem per major pattern. If you only have a few weeks, do these.
  • NeetCode 150 — Blind 75 plus 75 more, organised by exactly the categories this course teaches. This is the gold-standard list today. If you have 6–8 weeks, do all 150.

The good news: this course is structured around the same categories as NeetCode 150, and every lesson ships a companion practice page drawn from these lists, with tested solutions. Work the course and you are working the list.

How the course maps to NeetCode 150

NeetCode 150 category Course lesson(s)
Arrays & Hashing Hash Maps & Frequency, Prefix Sums
Two Pointers Two Pointers
Sliding Window Sliding Window
Stack Monotonic Stack
Binary Search Binary Search
Linked List Linked-List Reversal, Fast & Slow Pointers
Trees Tree BFS, Tree DFS
Tries Tries
Heap / Priority Queue Heaps / Top-K
Backtracking Backtracking
Graphs Graphs
Advanced Graphs Advanced Graphs
1-D Dynamic Programming Dynamic Programming I
2-D Dynamic Programming Dynamic Programming II
Greedy Greedy
Intervals Merge Intervals
Math & Geometry Math & Geometry
Bit Manipulation Bit Manipulation

Beyond the list, the course adds material the harder interviews reach for: a data-structures reference, Advanced DP, String Algorithms, and designing a data structure (LRU/LFU and friends).

The 8-week schedule

Roughly 1–2 hours a day, 5–6 days a week. Each day: read the pattern (if new), then solve 2–4 problems from its practice page — timed (25–35 min each). If you blow the time, read the approach, understand it, and re-solve it from scratch the next day.

Week Focus Patterns
1 Foundations How interviews work, Big-O, Two Pointers, Sliding Window
2 Arrays & linked structures Hash Maps, Prefix Sums, Fast & Slow, Linked-List Reversal
3 Stacks & search Monotonic Stack, Binary Search, Merge Intervals
4 Trees & heaps Tree BFS, Tree DFS, Heaps / Top-K, Tries
5 Recursion & graphs Backtracking, Graphs, Advanced Graphs
6 Dynamic programming DP I (1-D), DP II (2-D), Advanced DP
7 The rest + design Greedy, Bit Manipulation, Math & Geometry, Design a Data Structure, String Algorithms
8 Mocks & review Mixed timed sets + 1 mock interview every 2–3 days

Every week, spend one session on a mixed set — 4–5 problems drawn at random across patterns you’ve covered — with the pattern name hidden. This trains the one skill that actually gets tested: recognising which pattern a cold problem needs.

In the room

The pattern knowledge is half the battle; the other half is the method from Lesson 1. On every question:

  1. Clarify inputs, output, constraints, and edge cases before coding.
  2. Work a small example by hand to see the structure.
  3. Name the pattern out loud and state your plan — “this is read-heavy with overlapping sub-problems, so I’ll use 1-D DP” — before you write a line.
  4. Code cleanly, thinking aloud.
  5. Test yourself on edge cases and fix bugs before they point them out.

Read the constraints for the intended complexity: n ≤ 20 hints backtracking/bitmask; n ≤ 10⁵ hints O(n log n); a sorted input hints binary search or two pointers.

Final-week checklist

  • You can write each pattern’s template from memory in under a couple of minutes.
  • You’ve done at least one timed mock per pattern-heavy area (trees, graphs, DP).
  • You can estimate the time/space complexity of your solution out loud.
  • You have 3–4 behavioural stories ready (and, for Amazon, mapped to Leadership Principles).
  • For senior/staff roles, you’ve prepared the system design round separately.

You’ve finished the course

That’s all 24 patterns plus the design and study material — the toolkit that covers the large majority of coding-interview questions, and the plan to turn it into a pass. The path is simple and it works: learn the template, do the reps on the practice pages, and name the pattern out loud before you code. Recognition is the whole skill, and it only comes from deliberate practice.

Pair this with the Cracking the System Design Interview course for the design rounds, the staff engineer track for senior interviews, and the AI FAANG interview coach article to see how all of this is being graded by machines now. Good luck — you’ve got this.