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Andrei Neagoie and Yihua Zhang

Brand new course ready for the 2023 hiring season. Join a live online community of over 900,000+ engineers and a course taught by industry experts that have actually worked both in Silicon Valley and Toronto at top tech firms. Graduates of ZTM courses are now working at Google, Tesla, Amazon, AppleThis is one student 1 month after taking this course:"I joined the course when it came out, and after a couple of months studying, practice, and more practice, losing sleep and everything I'm proud to say that I got an offer from GOOGLE. I still can't believe it, it's incredibly surreal. And I can't thank you and this entire community enough for what you've given me. This year is notorious for how tumultuous it's been, but it's seriously has been a test from the first second of this year.. I've shed many, many tears these past 12 months and could write a book on the experience this year. but i just want to Thank you, thank you, thank you from the bottom of my heart for providing me (and this community) the resources needed to realize my potential that I honestly never saw in myself.. and now that I know i can get this far, I know that this is only the beginning.."

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Brand new course ready for the 2023 hiring season. Join a live online community of over 900,000+ engineers and a course taught by industry experts that have actually worked both in Silicon Valley and Toronto at top tech firms. Graduates of ZTM courses are now working at Google, Tesla, Amazon, AppleThis is one student 1 month after taking this course:"I joined the course when it came out, and after a couple of months studying, practice, and more practice, losing sleep and everything I'm proud to say that I got an offer from GOOGLE. I still can't believe it, it's incredibly surreal. And I can't thank you and this entire community enough for what you've given me. This year is notorious for how tumultuous it's been, but it's seriously has been a test from the first second of this year.. I've shed many, many tears these past 12 months and could write a book on the experience this year. but i just want to Thank you, thank you, thank you from the bottom of my heart for providing me (and this community) the resources needed to realize my potential that I honestly never saw in myself.. and now that I know i can get this far, I know that this is only the beginning.."

Want to land a job at a great tech company like Google, Microsoft, Meta, Netflix, Amazon, or other companies but you are intimidated by the interview process and the coding questions? Do you find yourself feeling like you get "stuck" every time you get asked a coding question? This course is your answer. Using the strategies, lessons, and exercises in this course, you will learn how to land offers from all sorts of companies. This is the ultimate resource to prepare you for coding interviews. Everything you need in one place. The goal of the course isn't to tell you: "Do 100 interview questions and hope you memorize their answers." NO. Our goal is to use the hand selected common interview questions to give you a framework to answer ANY interview question that these companies may throw at you. Instead of trying to memorize common questions, we teach you the principles and fundamentals that you can use to notice certain common patterns in questions so that any question that you get, you have a framework to answer and be confident in your programming interview.

You will also get access to our private online community with thousands of developers online to help you get through the course and the interview. Here is what you will learn to use in this course while answering the interview questions step by step with us:

Technical

1. Big O Notation

2. Data Structures Used:

  * Arrays

  * Hash Tables

  * Singly linked lists

  * Doubly linked lists

  * Stacks

  * Queues

  * Binary Trees

  * Binary Search Trees

  * Tries

  * N-ary Trees

  * Min/Max Heaps

  * Priority Queues

  * 2-D Arrays/ Matrices

  * Graphs

  * Adjacency List

  * Adjacency Matrix

  * Interface Design

3. Algorithmic Paradigms Used:

  * Recursion

  * Sorting

  * Searching

  * Tree Traversals

  * Graph Traversals

  * Breadth First Search

  * Depth First Search

  * Divide and Conquer

  * Greedy Method

  * Dynamic Programming

  * Backtracking

4. Specific Algorithms Used:

  * Hoare's Quickselect Algorithm

  * Floyd's Tortoise and Hare Cycle Detection Algorithm

  * Bellman-Ford Algorithm

  * Dijkstra's Algorithm

  * Topological Sort

Unlike most instructors out there, We are not marketers or salespeople. We are senior engineers and programmers who have worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.Our job as instructors will be successful if we are able to help you get your dream job at a big company. This one skill of mastering the coding interview can really change the course of your career and life and we hope you sign up today to see what it can do for your career.

See you inside the course.

Taught by:

Andrei is the instructor of the highest rated Web Development course on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, JP Morgan, IBM, etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. 

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time.   Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. 

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. 

Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.   Yihua Zhang is one of the Instructors of Zero To Mastery, one of the highest rated and fastest growing Web Development academies on Udemy. He has been working as a software developer for numerous years in Toronto for some of the largest tech companies in the world. He has also been working as an instructor for more than a decade. He is focused on bringing everything he has learned to help you achieve a new career as a developer, but also give you all the fundamental skills required to flourish in this incredible industry.

Yihua is a self taught developer, so he fully understands the challenges and mindset of coming into this industry from various other backgrounds. He has been on both sides of the table, as both an instructor and student numerous times so he can empathize with the difficulty of learning something new and challenging. Learning itself is a skill that needs to be practiced and improved upon, and he is dedicated to helping you improve and master that skill for yourself. Courses need to be practical, you need to be able to understand why you are learning the things that you are being taught. You need to understand the problem before you know the solution, and he prides himself on teaching you how to build professional, real world applications so you truly understand why you are doing things a specific way. He will teach you the mindset and skillset required to grow as a developer as fast as possible, so you can have the rich and fulfilling life that comes with this career.

Yihua's courses will guide you to build beautifully written and richly featured applications, while truly understanding all the complex concepts you will encounter along the way.

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What's inside

Learning objectives

  • Ace the coding interview at the top tech companies (google, amazon, meta, apple, microsoft, tesla, netflix + others)
  • Step by step guide to common questions, how to solve them, optimize, and present them during tech interview
  • The ultimate resource to prepare for coding interviews, tech interviews and programming interviews
  • Learn exactly what you need to answer difficult questions and the framework you need for any kind of questions they throw at you
  • Use the right data structures and algorithms to pass coding interview questions that have the optimal solution
  • Become a better developer by mastering computer science fundamentals

Syllabus

Introduction
Course Breakdown
Join Our Online Classroom!
Exercise: Meet Your Classmates and Instructor
Read more
Download All Code + Solutions
ZTM Resources
Monthly Coding Challenges, Free Resources and Guides
Arrays - Question #1 Google Interview Question Two Sum (Easy)
Interview Question #1 Two Sum
How To Approach Our Problem
Writing Our Brute Force Solution
Testing Our Brute Force Solution With Our Test Cases
Submitting To Leetcode
Analyzing Space and Time Complexity
Optimizing Our Solution
Coding Our Optimal Solution
Testing Our Optimal Solution With Our Test Cases & Space and Time Complexity
Checking Performance on Leetcode
Solutions In Other Languages
Web, Python, Machine Learning Monthly + Resources
Arrays - Questions #2 - Container With Most Water (Medium)
Interview Question #2 - Container With Most Water
Coming Up With Test Cases
Thinking Through A Logical Brute Force Solution
Coding Out Our Brute Force Solution
Stepping Through Our Code
Thinking About Our Optimal Solution
Coding Our Optimal Solution And Testing On LeetCode
Arrays - Questions #3 - Trapping Rainwater (Hard)
Interview Question #3 - Trapping Rainwater
Thinking About A Logical Solution
Coding Our Brute Force
Figuring Out Our Optimization Strategy
Optimal Code And LeetCode
Strings - Question #4 - Typed Out Strings (Easy)
Interview Question #4 -Typed Out Strings
Logic Of Our Brute Force
Space And Time Complexity
Coming Up With Optimal Solution
Submitting To LeetCode
Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)
Interview Question #5 - Longest Substring Without Repeating Characters
Coming Up With A Brute Force Approach
Sliding Window Technique
Hints For Optimizing Our Solution
Thinking About Optimal Solution
Note: Correction for explanation of +1
Strings - Question #6 - Valid Palindrome & Almost Palindrome
Intro To Palindromes
Interview Question #6 - Valid Palindrome
Almost A Palindrome
Figuring Out Our Solution
Coding Our Solution
Introducing Linked Lists - Basics and Reverse A Linked List
Linked List Introduction
Basic Algorithm: Reverse a Linked List
Thinking About Our Solution
Coding Reverse A Linked List Solution
Linked List - Question #7 - M, N Reversals (Medium)
Interview Question #7 - M, N Reversals
Coming Up With A Logical Solution
Linked List - Question #8 - Merge Multi-Level Doubly Linked List (Medium)
Interview Question #8 - Merge Multi-Level Doubly Linked List
Figuring Out Our Test Cases
Note: A great visualization helper written in Python by Karen Fisher
Thinking About Our Approach
Coding Out Our Solution
Linked List - Question #9 - Cycle Detection (Medium)
Interview Question #9 - Cycle Detection
What Is Floyd's Tortoise And Hare Algorithm?
Coding Floyd's Algorithm
Optional: Proof Of How And Why Floyd's Algorithm Works
Stacks - Question #10 - Valid Parentheses (Easy)
Intro to Stacks and Queues
Interview Question #10 - Valid Parentheses
Walking Through Our Problem - Identifying The Need For A Stack
Coding Our Solution With A Stack
Stacks - Question #11 - Minimum Brackets To Remove (Medium)
Interview Question #11 - Minimum Brackets To Remove
Queues - Question #12 - Implement Queue With Stacks (Easy)
Question #12 - Implement Queue With Stacks
Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element
Introducing Recursion
Optional: Tail Recursion
Sorting
Interview Question #13 - Kth Largest Element
Insights From Quick Sort
Understanding Divide And Conquer

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for senior-level students seeking entry-level coding roles
Introduces essential data structures and algorithms for coding interviews
Taught by industry-leading instructors from Google and Silicon Valley tech firms
Prepares students for coding interviews at top tech companies
Offers a supportive online community for students to connect and learn together
Provides a comprehensive framework for tackling coding interview questions

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Master the Coding Interview: Big Tech (FAANG) Interviews with these activities:
Cracking the Coding Interview: 189 Programming Questions and Solutions
Prepare for coding interviews by working through the practice problems and solutions presented in this classic guide.
Show steps
  • Read the problem statement and input/output examples.
  • Attempt to solve the problem on your own.
  • Review the provided solution and understand the approach.
  • Practice implementing the solution in different programming languages.
Coderbyte Challenges: Solve Coding Problems in Python
Sharpen your coding skills and prepare for technical interviews by tackling a series of coding challenges on Coderbyte.
Browse courses on Coding
Show steps
  • Select a challenge that matches your skill level.
  • Read the problem statement and input/output examples.
  • Code your solution in Python.
  • Submit your solution and review the feedback.
Study Group Discussions: Collaborate with Peers to Enhance Understanding
Engage with your classmates to discuss course material, share insights, and support each other's learning.
Show steps
  • Find a study group or form one with classmates.
  • Choose a topic or set of problems to discuss.
  • Meet regularly to discuss, share ideas, and solve problems.
  • Take turns leading the discussions and presenting solutions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Structures and Algorithms Deep Dive with GeeksforGeeks
Enhance your understanding of data structures and algorithms by exploring the comprehensive tutorials and practice problems offered by GeeksforGeeks.
Browse courses on Data Structures
Show steps
  • Choose a data structure or algorithm to focus on.
  • Read the tutorial and work through the examples.
  • Solve the practice problems to test your understanding.
  • Discuss your solutions with peers or mentors.
Leetcode Problems: Apply Dynamic Programming to Solve Algorithmic Problems
Reinforce your understanding of dynamic programming by solving a curated selection of Leetcode problems.
Browse courses on Dynamic programming
Show steps
  • Identify the recurrence relation for the problem.
  • Define a base case for the recurrence relation.
  • Implement the dynamic programming solution.
  • Test your solution on a variety of inputs.
Build a Simple Web Application using Django
Solidify your understanding of Django by creating a functional web application that showcases your skills.
Browse courses on Django
Show steps
  • Plan and design your web application.
  • Set up your Django project and environment.
  • Create models, views, and templates for your application.
  • Implement the business logic and functionality.
  • Test and deploy your web application.
Hackathon Participation: Test Your Coding Skills Under Time Pressure
Challenge yourself in a practical setting by participating in a hackathon to apply your coding abilities and enhance your problem-solving skills.
Show steps
  • Find a hackathon that aligns with your interests and skill level.
  • Form a team or work individually.
  • Brainstorm ideas and select a project.
  • Code and develop your project within the given time frame.
  • Present your project and receive feedback from judges and attendees.
Introduction to Algorithms, 4th Edition
Deepen your understanding of fundamental algorithms and data structures through this comprehensive textbook.
Show steps
  • Read the relevant chapters for the course.
  • Work through the practice exercises and problems.
  • Discuss the concepts with peers or mentors.
  • Apply the algorithms and data structures in your own projects.

Career center

Learners who complete Master the Coding Interview: Big Tech (FAANG) Interviews will develop knowledge and skills that may be useful to these careers:
Research Scientist
Research Scientists conduct research in a variety of scientific fields. This course can help Research Scientists build a strong foundation in data structures and algorithms, which are essential for developing and analyzing complex scientific models. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Research Scientists to understand. Overall, this course can help Research Scientists improve their skills and knowledge, which can lead to success in their careers.
Database Administrator
Database Administrators manage and maintain databases. This course can help Database Administrators build a strong foundation in data structures and algorithms, which are essential for managing and optimizing databases. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Database Administrators to understand. Overall, this course can help Database Administrators improve their skills and knowledge, which can lead to success in their careers.
Software Architect
Software Architects design and develop software systems. This course can help Software Architects build a strong foundation in data structures and algorithms, which are essential for developing efficient and scalable software systems. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Software Architects to understand. Overall, this course can help Software Architects improve their skills and knowledge, which can lead to success in their careers.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to solve financial problems. This course can help Quantitative Analysts build a strong foundation in data structures and algorithms, which are essential for developing efficient and scalable financial models. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Quantitative Analysts to understand. Overall, this course can help Quantitative Analysts improve their skills and knowledge, which can lead to success in their careers.
Computer Scientist
Computer Scientists conduct research in the field of computer science. This course can help Computer Scientists build a strong foundation in data structures and algorithms, which are essential for developing new and innovative computer science technologies. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Computer Scientists to understand. Overall, this course can help Computer Scientists improve their skills and knowledge, which can lead to success in their careers.
Data Analyst
Data Analysts use data to solve business problems. This course can help Data Analysts build a strong foundation in data structures and algorithms, which are essential for managing and analyzing large datasets. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Data Analysts to understand. Overall, this course can help Data Analysts improve their skills and knowledge, which can lead to success in their careers.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course can help Machine Learning Engineers build a strong foundation in data structures and algorithms, which are essential for developing efficient and scalable machine learning models. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Machine Learning Engineers to understand. Overall, this course can help Machine Learning Engineers improve their skills and knowledge, which can lead to success in their careers.
Blockchain Developer
Blockchain Developers develop applications that run on blockchain technology. This course can help Blockchain Developers build a strong foundation in data structures and algorithms, which are essential for developing efficient and secure blockchain applications. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Blockchain Developers to understand. Overall, this course can help Blockchain Developers improve their skills and knowledge, which can lead to success in their careers.
Game Developer
Game Developers design and develop video games. This course can help Game Developers build a strong foundation in data structures and algorithms, which are essential for developing efficient and scalable games. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Game Developers to understand. Overall, this course can help Game Developers improve their skills and knowledge, which can lead to success in their careers.
iOS Developer
iOS Developers create applications that run on Apple devices, such as iPhones, iPads, and Macs. This course can help iOS Developers build a strong foundation in data structures and algorithms, which are essential for developing efficient and scalable applications. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for iOS Developers to understand. Overall, this course can help iOS Developers improve their skills and knowledge, which can lead to success in their careers.
Web Developer
Web Developers design and develop websites and web applications. This course can help Web Developers build a strong foundation in data structures and algorithms, which are essential for developing efficient and scalable web applications. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Web Developers to understand. Overall, this course can help Web Developers improve their skills and knowledge, which can lead to success in their careers.
Data Scientist
Data Scientists use data to solve business problems. This course can help Data Scientists build a strong foundation in data structures and algorithms, which are essential for managing and analyzing large datasets. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Data Scientists to understand. Overall, this course can help Data Scientists improve their skills and knowledge, which can lead to success in their careers.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help Software Engineers build a strong foundation in data structures and algorithms, which are essential for developing efficient and scalable software systems. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Software Engineers to understand. Overall, this course can help Software Engineers improve their skills and knowledge, which can lead to success in their careers.
Android Developer
Android Developers create applications that run on Android-powered devices, such as smartphones, tablets, and smartwatches. This course can help Android Developers build a strong foundation in data structures and algorithms, which are essential for developing efficient and scalable applications. The course also covers topics such as recursion, sorting, and searching, which are all important concepts for Android Developers to understand. Overall, this course can help Android Developers improve their skills and knowledge, which can lead to success in their careers.
Technical Writer
Technical Writers create documentation for software and other technical products. This course can help Technical Writers build a strong foundation in data structures and algorithms, which can be helpful for understanding the technical concepts that they are writing about. The course also covers topics such as recursion, sorting, and searching, which can all be useful for organizing and presenting technical information. Overall, this course can help Technical Writers improve their skills and knowledge, which can lead to success in their careers.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Master the Coding Interview: Big Tech (FAANG) Interviews.
Comprehensive guide to preparing for coding interviews, with a focus on the types of questions that are commonly asked by top tech companies. It includes practice questions and solutions, as well as tips on how to approach different types of problems.
Provides a comprehensive introduction to data structures and algorithms in Python, covering topics such as arrays, linked lists, stacks, queues, trees, and graphs. It good resource for learning the fundamentals of computer science.
Classic textbook on algorithms, covering a wide range of topics from sorting and searching to graph algorithms and dynamic programming. It good resource for learning the theoretical foundations of computer science.
Is another classic textbook on algorithms, with a focus on the practical aspects of algorithm design and analysis. It good resource for learning how to design and implement efficient algorithms.
Provides a concise and accessible introduction to the core concepts of computer science, including data structures, algorithms, and programming languages. It good resource for learning the basics of computer science without getting bogged down in too much detail.
Provides a practical guide to algorithm design, with a focus on the techniques that are used to solve real-world problems. It good resource for learning how to approach different types of problems and how to design efficient solutions.
Provides a set of principles for writing clean and maintainable code, covering topics such as naming conventions, code organization, and refactoring. It good resource for learning how to write code that is easy to read and understand.
Provides an engaging and interactive introduction to data structures and algorithms, using a visual and hands-on approach. It good resource for learning the basics of computer science in a fun and accessible way.
Comprehensive treatise on the art of computer programming, covering a wide range of topics from the basics of programming to the design and analysis of algorithms. It good resource for learning the theoretical foundations of computer science in depth.
Provides a comprehensive introduction to computer systems, covering topics such as computer architecture, operating systems, and computer networks. It good resource for learning the fundamentals of how computers work.
Provides a comprehensive introduction to operating systems, covering topics such as process management, memory management, and file systems. It good resource for learning the fundamentals of how operating systems work.
Provides a comprehensive introduction to computer architecture, covering topics such as the design of processors, memory systems, and input/output devices. It good resource for learning the fundamentals of how computers work.
Provides a concise and accessible introduction to the core concepts of computer systems, covering topics such as logic gates, computer architecture, and operating systems. It good resource for learning the basics of how computers work without getting bogged down in too much detail.
Provides a comprehensive introduction to the theory of computation, covering topics such as automata, languages, and computability. It good resource for learning the theoretical foundations of computer science in depth.

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