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Decode the Coding Interview in Rust: Real-World Examples
The ultimate guide to coding interviews in Rust. Developed by FAANG engineers, practice with real-world interview questions, deploy strategies, and get interview-ready in just a few hours.
389 Lessons
21h
Join 2.9 million developers at
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
1.
✨Getting Started
✨Getting Started
Step through preparing for coding interviews with a focus on practical, real-world problem-solving.
2.
Netflix
Netflix
Optimize Netflix's functionality by enhancing search, recommendations, popularity tracking, and user experience.
Project Description For NetflixFeature #1: Group Similar TitlesFeature #2: Fetch Top MoviesFeature #3: Find Median AgeFeature #4: Popularity AnalysisFeature #5: Fetch Most Recently Watched TitlesFeature #6: Fetch Most Frequently Watched TitlesFeature #7: Browse RatingsFeature #8: Verify User SessionFeature #9: Movie Combinations of a GenreFeature #10: Calculate Median of Buffering EventsFeature #11: Generate Movie Viewing OrdersFeature #12: Maintain Continue Watching BarWhat Did We Learn?DIY: Group AnagramsDIY: Merge K Sorted ListsDIY: Find Median from a Data StreamDIY: Monotonic ArrayDIY: LRU CacheDIY: LFU CacheDIY: Min StackDIY: Validate Stack SequencesDIY: Letter Combinations of a Phone NumberDIY: Sliding Window MedianDIY: PermutationsDIY: Maximum Frequency Stack
3.
22 Lessons
22 Lessons
Examine Facebook features integration, enhancing user experience with efficient content sharing and operational improvements.
4.
Search Engine
Search Engine
22 Lessons
22 Lessons
Grasp the fundamentals of building a search engine with efficient storage, retrieval, and optimization.
5.
Google Calendar
Google Calendar
17 Lessons
17 Lessons
Explore Google Calendar features for efficient meeting scheduling and conflict resolution.
6.
Stock Scraper
Stock Scraper
13 Lessons
13 Lessons
Tackle developing a stock scraper, DOM traversal techniques, profit calculations, and common interview challenges.
7.
UBER
UBER
18 Lessons
18 Lessons
Master the steps to optimizing Uber's driver allocation, route selection, fare conversion, and ride-sharing.
8.
Amazon
Amazon
34 Lessons
34 Lessons
Get familiar with coding solutions for Amazon's key features and optimization tasks in Rust.
9.
Zoom
Zoom
12 Lessons
12 Lessons
Grasp the fundamentals of developing critical Zoom features and solving related coding challenges.
10.
Plagiarism Checker
Plagiarism Checker
6 Lessons
6 Lessons
Master the steps to create an efficient Rust plagiarism checker with practical coding examples.
11.
Network
Network
27 Lessons
27 Lessons
Grasp the fundamentals of network optimization, packet transmission, router synchronization, and data management in high-performance networks.
12.
Cyber Security
Cyber Security
12 Lessons
12 Lessons
Take a closer look at core cyber security principles through practical coding applications in Rust.
13.
Operating System
Operating System
35 Lessons
35 Lessons
Tackle building key OS features: memory and process management, file handling, and process scheduling.
14.
Language Compiler
Language Compiler
22 Lessons
22 Lessons
Build on compiler functionalities with comment removal, expression evaluation, loop unrolling, and optimization.
15.
Boggle
Boggle
6 Lessons
6 Lessons
Solve problems in implementing Boggle features, enhancing your problem-solving skills for coding interviews.
16.
Scrabble 2.0
Scrabble 2.0
6 Lessons
6 Lessons
Get started with creating a digital Scrabble game featuring word transformations, BFS, and DFS logic.
17.
Game
Game
9 Lessons
9 Lessons
Examine developing dynamic online game features and solving common algorithmic challenges.
18.
Stocks
Stocks
19 Lessons
19 Lessons
Grasp the fundamentals of enhancing stock trading platforms with efficient transaction validation, logging, and performance tracking.
19.
Computational Biology
Computational Biology
21 Lessons
21 Lessons
Dive into computational biology with DNA transformations, mutation analysis, and protein identification.
20.
Cellular Operator(AT&T)
Cellular Operator(AT&T)
20 Lessons
20 Lessons
Follow the process of enhancing cellular networks through practical solutions for coverage and user management.
21.
17 Lessons
17 Lessons
Build on key programming skills through Twitter API development, feature implementation, and coding challenges.
22.
Trees
Trees
8 Lessons
8 Lessons
Step through Rust solutions for binary tree inversion, traversal, and transformations.
23.
Miscellaneous
Miscellaneous
14 Lessons
14 Lessons
Walk through various coding challenges and solutions focused on algorithms and data structures.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
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 Java, C++, C#, Go, Python, Ruby, Elixir, Scala, Swift, Kotlin, and JavaScript.)
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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