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Kevin Nguyen

Are you studying for that next coding interview but don’t know where to start? Or are you looking for a concise, easy-to-understand study guide with everything you need to know? Or are you looking for a powerful advantage over the competition to guarantee you that awesome job you’ve always wanted at your dream company?

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Are you studying for that next coding interview but don’t know where to start? Or are you looking for a concise, easy-to-understand study guide with everything you need to know? Or are you looking for a powerful advantage over the competition to guarantee you that awesome job you’ve always wanted at your dream company?

In my LeetCode course, I will walk you through, step-by-step, all the different types of questions that appear during interviews.   I am a self-taught programmer so I know what it feels like to really struggle during those technical interviews.  Let me put it this way: I created the course I wish I had when I was studying for my technical interviews.

What is LeetCode?

LeetCode is a massive collection (1,050 and counting) of challenging coding problems.  It has just about every problem you can imagine.  In fact, many companies (including the Big 5 tech giants) use interview questions they find on LeetCode.

I have some good news for you: spending countless hours studying and solving every single problem is unnecessary.  This course was designed to help you massively optimize your study time and put you on the quickest path to successfully achieving that dream job.

Contents and Overview

I know LeetCode questions are meant to be difficult, but do not worry.   I made it a priority to present each problem in the most simplistic and direct way possible.  You will benefit from my painless and easy-to-understand format, as I walk you through each problem, step-by-step.  I cover everything from practical application of algorithms, to data structures, to time and space complexity.

I do not believe in wasting your time or my time. This means that unlike most "interview preparation courses" out there, I will not waste time going over obscure computer science theory or elementary programming concepts. Let me let you in on a little secret: obscure theory is almost always useless in an interview setting. On the other hand, my lectures are REMEMBER: Your interviewer won't know (or care) about whether you've spent WEEKS memorizing theory prior to an interview, he or she will ONLY care about whether you can solve the coding challenge or not.

By the time you complete this course, you will be an expert in all the tricks, techniques, and patterns needed to solve even the most challenging of interview problems.  Are you ready to supercharge your next technical interview and land that awesome dream job?.

We use basic JavaScript in this course, and even if you are new to JavaScript, do not worry.   I have included a bonus crash-course in JavaScript at the start of the course.  No prior JavaScript experience is required.

Course material is regularly refreshed to include all of the newest updates and information, and since you are granted lifetime access upon registering, you can rely on this course to keep your technical interviewing skills on the cutting edge.

There is no need to waste your time scouring the internet, frantically trying to piece together ways to solve coding challenges the night before a big, important interview.  Invest in yourself, and allow me to show you the easiest ways to ace it.

Feel free to take a preview of this course to see if it is a good fit for you.  I am so confident that you will love my course that I even offer a 100% 30-day money-back guarantee.  You have absolutely nothing to lose, so come on in, and let's get started.

Enroll now

What's inside

Learning objectives

  • Tricks, tips, and skills needed to master your next software engineering technical interview
  • Practical application of algorithms and data structures in an interview setting
  • Optimal approaches to solving difficult coding questions
  • How to successfully land your dream job

Syllabus

Introduction
Welcome to the Course!
Optional JavaScript Crash-Course (Skip ahead if you already know JavaScript!)
Environment Setup - Windows
Read more
Environment Setup - macOS
Obtaining a copy of the course code
How to run tests
How to get the most value from this course
Be able to solve String-based technical interview questions
Strings Introduction
Valid Palindrome (LC #125)
Longest Palindromic Substring (LC #5)
Longest Substring Without Repeating Characters - Part 1 (LC #3)
Longest Substring Without Repeating Characters - Part 2 (LC #3)
Valid Anagram (LC #242)
Group Anagrams (LC #49)
Valid Parentheses (LC #20)
Be able to solve Dynamic Programming technical interview questions
Dynamic Programming Introduction
Climbing Stairs (LC #70)
House Robber (LC #198)
Jump Game - Part 1 (LC #55)
Jump Game - Part 2 (LC #55)
Longest Increasing Subsequence - Part 1 (LC #300)
Longest Increasing Subsequence - Part 2 (LC #300)
Coin Change - Part 1 (LC #322)
Coin Change - Part 2 (LC #322)
Unique Paths (LC #62)
Be able to solve Array technical interview questions
Arrays Introduction
Contains Duplicate (LC #217)
Product of Array Except Self (LC #238)
Container With Most Water (LC #11)
Best Time to Buy and Sell Stock (LC #121)
Two Sum (LC #1)
3Sum - Part 1 (LC #15)
3Sum - Part 2 (LC #15)
Maximum Subarray - Part 1 (LC #53)
Maximum Subarray - Part 2 (LC #53)
Maximum Product Subarray - Part 1 (LC #152)
Maximum Product Subarray - Part 2 (LC #152)
Find Minimum in Rotated Sorted Array - Part 1 (LC #153)
Find Minimum in Rotated Sorted Array - Part 2 (LC #153)
Search in Rotated Sorted Array - Part 1 (LC #33)
Search in Rotated Sorted Array - Part 2 (LC #33)
Interval
Interval Introduction
Meeting Rooms (LC #252)
Non-overlapping Intervals (LC #435)
Merge Intervals (LC #56)
Matrix
Spiral Matrix - Part 1 (LC #54)
Spiral Matrix - Part 2 (LC #54)
Set Matrix Zeroes - Part 1 (LC #73)
Set Matrix Zeroes - Part 2 (LC #73)
Word Search (LC #79)
Linked List
Linked List Introduction
Reverse Linked List (LC #206)
Linked List Cycle (LC #141)
Remove Nth Node From End of List (LC #19)
Merge Two Sorted Lists (LC #21)
Trees
Trees Introduction
Number of Islands (LC #200)
Invert Binary Tree (LC #226)
Maximum Depth of Binary Tree (LC #104)
Binary Tree Level Order Traversal (LC #102)
Same Tree (LC #100)
Validate Binary Search Tree (LC #98)
Lowest Common Ancestor of a Binary Search Tree - Part 1 (LC #235)
Lowest Common Ancestor of a Binary Search Tree - Part 2 (LC #235)
Additional Resources
Congratulations!
Additional Resources & YouTube Channel

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Uses JavaScript, a popular language, to solve problems, which is useful for web development and backend engineering roles
Covers dynamic programming, a core concept in algorithms, which is essential for solving optimization problems in software engineering
Includes a JavaScript crash course, which is helpful for learners who are new to the language and need a quick introduction
Focuses on LeetCode problems, which are commonly used by tech companies during technical interviews to assess candidates' coding skills
Explores data structures such as arrays, linked lists, and trees, which are fundamental concepts in computer science and software development
Teaches time and space complexity analysis, which is crucial for writing efficient code and optimizing algorithms for performance

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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 JavaScript & LeetCode | The Interview Bootcamp with these activities:
Review JavaScript Fundamentals
Solidify your understanding of JavaScript fundamentals to better grasp the code examples and solutions presented in the course.
Show steps
  • Review variables, data types, and operators.
  • Practice writing functions and control flow statements.
  • Familiarize yourself with array and object manipulation.
Eloquent JavaScript
Deepen your understanding of JavaScript concepts and syntax with a comprehensive guide to the language.
Show steps
  • Read chapters on relevant JavaScript topics.
  • Complete the exercises at the end of each chapter.
  • Experiment with the code examples and try modifying them.
Solve Basic LeetCode Problems
Practice solving easier LeetCode problems to build confidence and familiarity with the platform and problem-solving techniques.
Show steps
  • Select 5-10 'Easy' difficulty problems on LeetCode.
  • Attempt to solve each problem independently within a time limit.
  • Review solutions and explanations for problems you struggled with.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Pair Programming on LeetCode Problems
Improve your problem-solving skills and learn from others by pair programming on LeetCode problems.
Show steps
  • Find a partner who is also studying for coding interviews.
  • Choose a LeetCode problem and work together to solve it, switching roles periodically.
  • Discuss different approaches and learn from each other's strengths.
Cracking the Coding Interview
Supplement the course material with a comprehensive guide to coding interviews, providing additional problem-solving strategies and practice questions.
Show steps
  • Read relevant chapters on data structures and algorithms.
  • Solve practice problems from the book, focusing on areas where you need improvement.
  • Review the book's advice on interview preparation and communication.
Implement Data Structures in JavaScript
Reinforce your understanding of data structures by implementing them from scratch using JavaScript.
Show steps
  • Choose a few fundamental data structures (e.g., linked list, stack, queue, binary tree).
  • Implement each data structure with its core methods.
  • Write unit tests to ensure the data structures function correctly.
Create a LeetCode Solution Walkthrough
Solidify your understanding of a specific LeetCode problem by creating a video or written walkthrough explaining your solution.
Show steps
  • Choose a LeetCode problem you have solved.
  • Record a video or write a blog post explaining your approach, code, and time/space complexity analysis.
  • Share your walkthrough with others and solicit feedback.

Career center

Learners who complete JavaScript & LeetCode | The Interview Bootcamp will develop knowledge and skills that may be useful to these careers:
Software Engineer
A software engineer designs, develops, tests, and evaluates software applications and systems. This course helps aspiring software engineers excel in technical interviews, a critical part of the hiring process. By focusing on data structures, algorithm implementation, and problem-solving techniques using JavaScript, the course directly addresses the types of challenges encountered in coding interviews. Specifically, the course provides practice problems similar to those found on LeetCode, a popular platform for interview preparation. A comprehensive understanding of dynamic programming and string manipulation, as taught in the course, is invaluable to any software engineer. The array and interval problems, in particular, are useful for any software engineer.
Full-Stack Developer
Full stack developers work on both the frontend and backend of web applications, so this course will be especially helpful. This course can help full stack developers solidify JavaScript skills for both frontend and backend tasks. Given the broad scope of the full stack role, it is critical to be able to code efficiently, as this course emphasizes. Further, the course offers many opportunities to practice solving problems similar to those on LeetCode. The bonus JavaScript crash course may be especially useful for developers transitioning to the full stack role.
Web Developer
Web developers are responsible for building and maintaining websites and web applications. This course prepares web developers for technical interviews, an often-required step to landing a new job. Given the focus on JavaScript, a core language for web development, this course directly addresses the skills needed to impress in technical interviews. The course helps web developers develop practical application of algorithms, data structures, and time and space complexity. Aspiring web developers should take this course to improve their problem-solving skills and JavaScript fundamentals. The bonus crash course in JavaScript may be especially useful to new web developers.
Backend Developer
A backend developer focuses on the server-side logic and databases that power web applications. This course can enhance your prospects as a backend developer by preparing you for the technical interviews that are typically part of the hiring process. The curriculum, which includes data structures, algorithms, and problem-solving techniques, directly addresses the challenges encountered in these interviews. The course's emphasis on efficient coding practices and LeetCode-style questions are crucial for success. Backend developers often implement dynamic programming algorithms so the sections in that area are especially useful. Having a solid foundation in backend engineering is necessary for any backend developer.
Frontend Developer
Frontend developers specialize in building the user interface of websites and web applications. This course is helpful for frontend developers looking to boost their coding interview skills, especially with the focus on algorithms and data structures in JavaScript. As frontend architecture becomes increasingly complex, the need to understand algorithmic patterns increases. The course also prepares one to reason about time and space complexity. This course may be especially useful for frontend developers with limited experience in algorithms.
Software Development Engineer in Test
A software development engineer in test, also known as an SDET, is responsible for designing and implementing tests for software. Often, software development engineers in test must complete coding interviews. This course can provide the necessary skills to succeed in these interviews. By studying data structures and algorithms, a software development engineer in test can ensure the software is performant and scales well. More generally, SDETs are often required to participate in code reviews. A background in data structures and algorithms, as taught in this course, allows one to write better code.
Machine Learning Engineer
Machine learning engineers develop and deploy machine learning models. This course may be useful for machine learning engineers who need to demonstrate coding proficiency during technical interviews. The curriculum, which includes data structures, algorithms, and problem-solving techniques, can help machine learning engineers clear coding challenges. Often, machine learning engineers will implement algorithms so this course is helpful. The sections on trees, graphs, and dynamic programming are particularly relevant.
Data Scientist
Data scientists analyze large datasets to extract insights and build predictive models. While this course may not directly address the mathematical and statistical aspects of data science, it may be helpful for data scientist candidates who need to pass technical interviews. Many data science roles require coding skills, especially in languages like Python or JavaScript. This course can help data scientists with the general problem solving and algorithm knowledge that is expected during coding interviews. In particular, knowledge of arrays and dynamic programming is often useful.
Solutions Architect
Solutions architects design and implement technology solutions to meet business needs. Given the broad scope of the role, it is necessary to have a solid foundation in data structures and algorithms. The interview questions, in particular, are useful to practice. Solutions architects are often required to have previously been software engineers, so this course can help prepare those candidates. The sections on dynamic programming and arrays are also useful.
Data Engineer
Data engineers build and maintain the infrastructure for data storage and processing. Although data engineering often involves working with big data technologies and cloud platforms, this course can enhance a data engineer's problem-solving abilities and coding skills. The focus on algorithms and data structures, as well as coding challenges, may be useful for those who will be tested in a coding interview. Data engineers often implement data structures so the coding challenges are a great way to sharpen these skills.
Technical Lead
A technical lead is responsible for guiding a team of developers and making technical decisions on a project. While this course may not directly address leadership or project management skills, it may sharpen the coding skills of technical leads. Often, a technical lead needs to mentor junior developers and help them debug. This course can help technical leads who need a refresher in data structures and algorithms. This course will prepare them to solve the types of difficult coding questions that arise in their day-to-day work.
Principal Engineer
Principal engineers are senior technical experts who provide guidance and leadership on complex engineering projects. While this role emphasizes experience and strategic thinking, this course provides a refresher in data structures and algorithms. This course will prepare principal engineers for technical discussions. The course also helps principal engineers mentor junior developers.
Engineering Manager
Engineering managers oversee software development teams and ensure projects are completed successfully. While this role emphasizes leadership and management skills, coding skills may be helpful for engineering managers. This course prepares one to understand the technical challenges faced by their team, as well as participate in technical discussions. The course can also help engineering managers mentor junior developers or evaluate candidates during interviews. In particular, interviewers will often ask a candidate to implement algorithms, so this is a useful skill to sharpen.
Technical Writer
Technical writers create documentation and guides for software and hardware products. It may be useful for technical writers to have an understanding of the technology they write about. This includes understanding of data structures and algorithms, as covered in this course. This course may be especially useful for technical writers who are new to the field. The interviews will also provide some context as to the kinds of questions that developers get asked.
Chief Technology Officer
A chief technology officer, also known as a CTO, is the executive responsible for a company's technological direction. It may be useful for a chief technology officer to have a grasp of data structures and algorithms. This is because this course can help prepare one to lead engineers. A chief technology officer will often participate in design reviews, so this course may be useful.

Reading list

We've selected two 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 JavaScript & LeetCode | The Interview Bootcamp.
Comprehensive guide to preparing for coding interviews. It covers a wide range of data structures and algorithms, along with common interview questions and detailed solutions. It is particularly useful for this course as it provides a structured approach to problem-solving and helps in understanding the underlying concepts behind LeetCode problems. This book is commonly used by job seekers and students alike.
Eloquent JavaScript provides a solid foundation in JavaScript programming. It covers the fundamentals of the language, including data types, control structures, functions, and object-oriented programming. is helpful for those who are new to JavaScript or want to deepen their understanding of the language before tackling LeetCode problems. It is also available online for free, making it an accessible resource.

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