Master the Coding Interview: Big Tech (FAANG) Interviews
36h 33m 29s
English
Paid
Master the Coding Interview: Big Tech (FAANG) Interviews is a 267-lesson 36 hours 33 minutes self-paced course by Zero To Mastery. You may want a job at a large tech company but feel lost when you face coding interview questions.
Course facts
Lessons
267
Duration
36 hours 33 minutes
Level
All levels
Language
English
Updated
Instructor
Zero To Mastery
Price
Premium
You may want a job at a large tech company but feel lost when you face coding interview questions. You are not alone. Many people freeze during these interviews. This course helps you build clear steps to handle these questions with confidence.
You will not try to memorize 100 problems. Instead, you will learn a simple way to spot patterns. This helps you answer new questions on the spot. You will learn how to think, plan, and explain your work in a clear way.
You also join a private online community where many developers share tips and help you as you go.
What You Will Learn
You will work through common interview topics with clear examples. Each topic builds tools you can use in real interviews.
Big O Basics
You will learn how to measure how fast your code runs. This helps you compare ideas and explain trade‑offs during an interview.
Core Data Structures
You will see how to use the most common data structures. You will build them, read them, and pick the best one for each task.
Arrays
Hash tables
Singly and doubly linked lists
Stacks and queues
Binary trees and search trees
Tries and n‑ary trees
Heaps and priority queues
2‑D arrays and matrices
Graphs, adjacency lists, adjacency matrices
Interface design for custom structures
Key Algorithm Ideas
You will learn the main problem‑solving patterns used in coding interviews. You will also see how to break problems down step by step.
Recursion
Sorting and searching
Tree traversal and graph traversal
Breadth‑first search (BFS)
Depth‑first search (DFS)
Divide and conquer
Greedy methods
Dynamic programming
Backtracking
Important Algorithms
You will walk through real interview tasks where these algorithms appear.
Hoare’s quickselect
Floyd’s cycle detection
Bellman‑Ford
Dijkstra’s shortest path
Topological sort
Your Instructors
We are senior engineers who have both given and taken these interviews. We have led teams and worked with many candidates. We know what interviewers search for and how they judge each answer.
Our goal is simple: give you the skills to pass coding interviews with calm and clarity. This skill can shape your career in a strong way. We hope you join us and learn how to handle these interviews with confidence.
Who teaches Master the Coding Interview: Big Tech (FAANG) Interviews? Zero To Mastery
Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.
The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.
The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.
What lessons are included in Master the Coding Interview: Big Tech (FAANG) Interviews?
This is a demo lesson (10:00 remaining)
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Frequently asked questions
What prerequisites are needed before taking this course?
The course does not explicitly list prerequisites, but a basic understanding of programming and data structures would be beneficial. Familiarity with concepts like arrays, linked lists, and basic algorithmic thinking will help you grasp the material more effectively as you learn to tackle coding interview questions.
What kind of projects or exercises will I work on during the course?
The course involves working through various coding interview questions, such as 'Two Sum', 'Container With Most Water', and 'Longest Substring Without Repeating Characters'. Each question is structured to help you develop skills in analyzing problems, writing brute force and optimal solutions, and testing your code on platforms like LeetCode.
Who is the target audience for this course?
This course is designed for individuals aiming to succeed in coding interviews at large tech companies, often referred to as FAANG (Facebook, Apple, Amazon, Netflix, Google). It is suitable for those who want to improve their problem-solving skills and gain confidence in technical interview settings.
How does this course compare to other coding interview preparation courses?
Unlike courses that focus on memorizing a large number of problems, this course emphasizes recognizing problem patterns and developing a systematic approach to solving new questions. It covers core data structures, key algorithm ideas, and guides you through thinking, planning, and explaining your solutions.
What specific tools or platforms does the course utilize?
The course uses LeetCode as a platform for testing and submitting solutions to coding problems. This allows students to practice and validate their solutions in an environment similar to real coding interviews.
What topics are not covered in this course?
The course focuses primarily on coding interviews, so topics like behavioral interview preparation, system design, and advanced language-specific features are not covered. It is specifically tailored to help you tackle algorithmic challenges and data structure problems common in technical interviews.
What is the time commitment required for this course?
The course consists of 267 lessons, though the total runtime is not specified. Given the depth and number of topics covered, students should expect to dedicate a significant amount of time to thoroughly work through examples, exercises, and participate in the online community for the best learning experience.
