iOS Engineering Interview Course

Nail iOS engineering interviews at FAANG and Tier-1 Tech Companies
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Course designed and taught by instructors from FAANG & Tier-1 Tech Companies

Manoj Krishnan

Software Engineer
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Adrián Fernández

Engineering Manager
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Qiuping Xu.

Principal Data Scientist
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iOS Engineering Course Curriculum

This is what you'll learn in our iOS Engineering career path!

  • 15 Mock Interviews
  • 6-Month Support Period

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iOS Engineering course and curriculum

Data structures and Algorithms
5 weeks
5 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Sorting

  • Introduction to Sorting
  • Basics of Asymptotic Analysis and Worst Case & Average Case Analysis
  • Different Sorting Algorithms and their comparison
  • Algorithm paradigms like Divide & Conquer, Decrease & Conquer, Transform & Conquer
  • Presorting
  • Extensions of Merge Sort, Quick Sort, Heap Sort
  • Common sorting-related coding interview problems
2

Recursion

  • Recursion as a Lazy Manager's Strategy
  • Recursive Mathematical Functions
  • Combinatorial Enumeration
  • Backtracking
  • Exhaustive Enumeration & General Template
  • Common recursion- and backtracking-related coding interview problems
3

Trees

  • Dictionaries & Sets, Hash Tables 
  • Modeling data as Binary Trees and Binary Search Tree and performing different operations over them
  • Tree Traversals and Constructions 
  • BFS Coding Patterns
  • DFS Coding Patterns
  • Tree Construction from its traversals 
  • Common trees-related coding interview problems
4

Graphs

  • Overview of Graphs
  • Problem definition of the 7 Bridges of Konigsberg and its connection with Graph theory
  • What is a graph, and when do you model a problem as a Graph?
  • How to store a Graph in memory (Adjacency Lists, Adjacency Matrices, Adjacency Maps)
  • Graphs traversal: BFS and DFS, BFS Tree, DFS stack-based implementation
  • A general template to solve any problems modeled as Graphs
  • Graphs in Interviews
  • Common graphs-related coding interview problems
5

Dynamic Programming

  • Dynamic Programming Introduction
  • Modeling problems as recursive mathematical functions
  • Detecting overlapping subproblems
  • Top-down Memorization
  • Bottom-up Tabulation
  • Optimizing Bottom-up Tabulation
  • Common DP-related coding interview problems

System design
3 weeks
3 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Online Processing Systems

  • The client-server model of Online processing
  • Top-down steps for system design interview
  • Depth and breadth analysis
  • Cryptographic hash function
  • Network Protocols, Web Server, Hash Index
  • Scaling
  • Performance Metrics of a Scalable System
  • SLOs and SLAs
  • Proxy: Reverse and Forward
  • Load balancing
  • CAP Theorem
  • Content Distribution Networks
  • Cache
  • Sharding
  • Consistent Hashing
  • Storage
  • Case Studies: URL Shortener, Instagram, Uber, Twitter, Messaging/Chat Services
2

Batch Processing Systems

  • Inverted Index
  • External Sort Merge
  • K-way External Sort-Merge
  • Distributed File System
  • Map-reduce Framework
  • Distributed Sorting
  • Case Studies: Search Engine, Graph Processor, Typeahead Suggestions, Recommendation Systems
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
iOS Engineering
4 weeks
4 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Module1 - UI Programming 

Life-Cycles
  • Deep dive into life-cycle intricacies
  • Interesting interview questions around App life-cycle and View life-cycle, e.g., Explain the difference between Inactive, Backgrounded, and Suspended app states. 
App Architecture Pattern
  • Challenging interview questions on Design patterns: MVC, MVVM, MVP, VIPER, RIBs, etc.; When to use which design pattern? Pros and cons of each of these
  • Refactoring code from one design pattern to another
UI Design  
  • Challenging UI design questions involving usage of TableViews, Collection Views, StackViews and Auto-constraints
  • How to write clean/organized, reusable code
  • Deep dive into building custom views using TableViews, Collection Views, and StackViews
  • Questions and case study around DiffableDataSource
User Interaction/Events 
  • Common interview questions on UIResponder and UIGesture
2

Module 2 - Performantly Fetching and Handling Data 

Concurrency (“Performantly”)  
  • Deep dive into implementing concurrency while building iOS applications involving concepts like GCD, Operations, async/await
Networking & Communication (“Fetching”)  
  • Interesting interview questions around making Network Requests and handling responses
  • Challenging design questions involving making paginated network calls. e.g., Strategies to reduce load time for the TikTok application.
  • Interesting interview questions around the concepts of Deep-Linking 
3

Module 3 - Data Persistence

  • A detailed discussion of data persistence strategies through interview questions. E.g. Designing offline features for the WhatsApp application. 
  • Challenging design questions involve the following: 
  • Data persistence through multiple app launches. 
  • Data persistence for 1 app life cycle or less.
  • Use of Key-chain, Core Data, User Defaults, etc 
  • Questions related to caching: when to cache? Which database to use for caching? 
  • Commonly asked interview questions around memory management, memory leaks, ARC, etc.
4

Module 4 - iOS Systems Design 

Strategy & Tactics  
  • A general template to answer system design questions
  • Common mistakes in system design interviews
  • Modularization
  • Functional Layering
  • Access control (public, private, file-private, package, open, final)
  • Protocol-Oriented Programing
  • Building Custom Frameworks
  • Importing & Building
  • Swift Package Manager/CocoaPods/etc (brief)
  • Libraries/Binaries
  • Dynamic vs. static libraries
Career Coaching
3 weeks
3 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Interview Preparation

Interview Questions
Placement assistance
Behavioral Coaching
2

Resume & LinkedIn Masterclass

3

Salary Negotiation Masterclass

Support Period
6 months
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

15 mock interviews

2

Take classes you missed/retake classes/tests

3

1:1 technical/career coaching

4

Interview strategy and salary negotiation support


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Best Suited for

  • Current or former iOS Engineers

iOS Engineer Interview Process at Tier-1 Companies

We prepare you for all stages of a typical iOS engineer interview process at FAANG and Tier-1 companies

Initial Screening

  • A coding round and a few iOS-related questions based on your past projects


1 Behavioral Interview Round

  • Questions related to your job experience 
  • Discussions on past projects
  • Open-ended questions to gauge if you're a "good fit"


Onsite Round

  • 1-2 General Coding Rounds
    DSA-based coding rounds (the difficulty level may increase depending on your experience.)
  • 1-2 iOS Coding Rounds
    You could be asked to implement a mobile app feature, for instance, translating various touch gestures to their corresponding image transformations.
  • 1-2 iOS System Design Rounds:
    You will design iOS clients for various use cases. You may also have to develop certain features from scratch.


Top companies love hiring our candidates
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Top companies love hiring our candidates!

10K+

Experienced engineers enrolled

7

Years of successful training in Silicon Valley

18

Highest number of offers received by an alum

5

Avg years of experience of our alumni

What our students say

Vineet Joglekar
Software Development Manager
Offers from
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"IK helps you build a problem-solving mindset, offers very rich foundational material, introduces typical interview problems, offers technical and behavioral coaching sessions and mock interviews from industry experts to succeed in tech interviews".

Swapnil Tailor
Offers from
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Interview Kickstart is like a fitness coach which guides to achieve your dream job. It can help you identify your weak points and also suggest steps to improve them.

Rupesh Dabbir
Offers from
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Interview Kickstart (IK) provides you a solid platform to not only strengthen your algorithm and interview game, I've had the pleasure of meeting some of the best/brightest minds in the industry (Faculty and students included). It was a humble experience, to say the least.