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What You'll Learn

Master coding interview patterns including arrays
strings
dynamic programming
backtracking
greedy algorithms
and bit manipulation through 300 practice ques,Build fluency in core data structures — linked lists
trees
graphs
heaps
and tries — and recognize which structure fits which problem.,Design scalable systems by working through 10 real case studies (URL shortener
chat app
news feed
ride-sharing
payments) plus 100 fundamentals questions.,Prepare confident
structured behavioral answers using the STAR method and Amazons 16 Leadership Principles
with company-specific interview strategies.

Requirements

No prior FAANG interview experience required. Basic familiarity with programming concepts (variables
loops
functions) and one language (Python
Java
C++
or similar) is helpful. Complete beginners to technical interviewing can start here
working through the series in order from coding fundamentals to behavioral prep.

Description

Land your next role at a top tech company with the most comprehensive FAANG interview preparation course on Udemy — 600 practice questions across six full-length tests, each with detailed, per-option explanations that teach you the reasoning behind every answer, not just the correct letter.

This course covers every stage of a modern FAANG interview loop:

Coding Interviews (Tests 1–3, 300 questions): Master complexity analysis, arrays and strings, two-pointer and sliding-window techniques, core data structures (linked lists, trees, graphs, heaps, tries), and advanced patterns including backtracking, greedy algorithms, divide and conquer, and bit manipulation.

System Design (Tests 4–5, 200 questions): Build a deep understanding of scalability, caching, the CAP theorem, load balancing, sharding, and message queues — then apply these concepts across 10 fully worked case studies including URL shorteners, chat applications, news feeds, ride-sharing platforms, video streaming, payment systems, and distributed caches.

Behavioral Interviews (Test 6, 100 questions): Learn to structure compelling answers using the STAR method, understand all 16 of Amazon's Leadership Principles in depth, and adapt your storytelling for company-specific themes at Google, Meta, and Netflix.

For example: one question tests whether you understand why sorting an array before applying the two-pointer technique reduces an O(n²) brute-force approach down to O(n) — with every answer choice explained so you learn the underlying pattern, not just memorize a solution.

Whether you're a new graduate preparing for your first FAANG loop or an experienced engineer sharpening specific weak areas, this course gives you the structured, explanation-rich practice you need to walk into your interview confident and prepared.

Who this course is for:

This course is for software engineers preparing for interviews at Google
Amazon
Meta
Apple
Netflix
or similar top tech companies — whether youre a new graduate tackling your first FAANG loop
a mid-level engineer targeting a move to big tech
or an experienced developer who wants structured
comprehensive practice across every stage of the interview process: coding rounds
system design
and behavioral/leadership evaluations. Its also well-suited to candidates returning to interviewing after time away from LeetCode-style practice
and to anyone who prefers learning through explanation-rich practice questions rather than video lectures alone.