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Decode the Coding Interview in Kotlin: Real-World Examples

The ultimate guide to coding interviews in Kotlin. Developed by FAANG engineers, practice with real-world interview questions and strategies for breaking down and solving new problems.

389 Lessons

21h

Also available in

C++

Java

JavaScript

Kotlin

Python

Also available in

Kotlin

Join 2.9 million developers at

LEARNING OBJECTIVES

Get hands on practice in preparing for coding interviews by tackling real world problem.
Prepare for interviews by solving the frequently asked coding question at companies like FAANG.
Perform an in-depth analysis of commonly asked coding interview problems.
Learn to map real-world problems to actual interview questions.

Learning Roadmap

389 Lessons195 Challenges

✨Getting Started

Get familiar with solving real-world problems for coding interviews using practical applications.

Course Overview

Who Should Take This Course?

Netflix

Grasp the fundamentals of enhancing streaming experiences with efficient data structures and algorithms.

Facebook

22 Lessons

Work your way through Facebook's coding challenges, from integrating systems to optimizing features.

Search Engine

22 Lessons

Break down complex ideas in developing a search engine with essential features and practical tasks.

Google Calendar

17 Lessons

Dig into developing a Google Calendar by managing meetings, scheduling, and optimizing time.

Stock Scraper

13 Lessons

Tackle web scraping for stock data, implement traversal algorithms, and conduct profit analysis.

UBER

18 Lessons

Master the steps to optimize Uber's driver allocation, path costs, fare conversion, and ride-sharing.

Amazon

34 Lessons

Step through real-world Amazon coding challenges using Kotlin, from recommendation systems to delivery management.

Zoom

12 Lessons

Get started with enhancing Zoom's participant management, data serialization, and interactive features.

10.

Plagiarism Checker

6 Lessons

Examine enhancing plagiarism detection by analyzing code similarities and mastering interview-relevant techniques.

11.

Network

27 Lessons

Grasp the fundamentals of network features like effective data propagation, packet travel, and network topology optimization.

12.

Cyber Security

12 Lessons

Dig deeper into cybersecurity through encryption, packet validation, and message integrity.

13.

Operating System

35 Lessons

Focus on key OS concepts like memory management, process scheduling, and file system techniques.

14.

Language Compiler

22 Lessons

Master the steps to develop a C++ compiler with critical functionalities for coding interviews.

15.

Boggle

6 Lessons

Step through building a Boggle game and implementing word-searching features with efficient algorithms.

16.

Scrabble 2.0

6 Lessons

Walk through transforming Scrabble into a digital game with algorithmic solutions and coding exercises.

17.

Game

9 Lessons

Work your way through coding challenges in game development to build interview skills.

18.

Stocks

19 Lessons

Grasp the fundamentals of stock trading operations, key features, and practical problem-solving techniques.

19.

Computational Biology

21 Lessons

Deepen your knowledge of computational biology to simulate and analyze DNA transformations.

20.

Cellular Operator(AT&T)

20 Lessons

Follow the process of solving cellular network optimization, coverage, and user queries through practical algorithms.

21.

Twitter

17 Lessons

Build on enhancing Twitter's API, optimizing feeds, interactions, user groups, and trending analysis.

22.

Trees

8 Lessons

Try out various binary tree transformations and traversals for in-depth understanding.

23.

Miscellaneous

14 Lessons

Walk through diverse coding challenges, optimizing algorithms for complex real-world problems.

24.

Conclusion

Examine the importance of ongoing technical and behavioral interview preparation and community engagement.

Where to Go from Here?

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

ABOUT THIS COURSE

Preparing for coding interviews has become a daunting task. Trying to solve enough practice questions and remember solutions can feel impossible. Fortunately, the best way to be successful in the coding interview is not to just grind through problems. The best way is to develop the skills to break down a new problem and deploy the right tools to come up with a solution. That’s why in this course, you’ll prepare for coding interviews by tackling real world problems faced by tech companies. When you solve real problems related to real projects (for example, paginating attendees in a Zoom call), not only will you have more fun preparing, but you’ll also have an easier time remembering what you’ve learned. After each project, we’ll also show you what kinds of interview problems you’ll now be able to solve using the techniques you just applied, so that your knowledge is adaptable to new problems. (This course is also available in Rust, Java, C++, C#, Go, Python, Ruby, Elixir, Scala, Swift and JavaScript.)

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ML Engineer

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Carlos Matias La Borde

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Souvik Kundu

Front-end Developer

Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content.

Vinay Krishnaiah

Software Developer