Android Engineering Interview Course

Nail Android 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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Android Engineering Course Curriculum

This is what you'll learn in our Android engineering career path!

  • 15 Mock Interviews
  • 6-Month Support Period

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Android 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
Android Engineering Concepts
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

Module 1 - Android UI Programming

  • Deep dive into app life-cycle intricacies. Interesting interview questions around App life-cycle. E.g., Explain the difference between inactive, backgrounded, and suspended app states.
  • Deep dive into building UI involving usage of grid list layout, recycler view, pagination, infinite scrolling, live data, and view model
  • Challenging design questions around building custom views
  • Deep dive into Jetpack Navigation and Jetpack Stateflow
2

Module 2 - Network and Memory Management

  • Interesting interview questions around making network requests and handling responses
  • Challenging design questions to involve making paginated network calls. E.g., Strategies to reduce the load time of the TikTok application.
  • A detailed discussion of data persistence strategies through interview questions. E.g., Design offline features of the WhatsApp application. 
  • Questions related to caching: when to cache? Which database to use for caching?
3

Module 3 - Concurrency, Debugging, and Profiling

  • Interesting questions around designing applications that make use of Content Provider
  • Deep dive into implementing concurrency while building iOS applications involving concepts like Executors, Services, and Job scheduler
  • Deep dive into Debugging, Testing, Profiling, and Performance (CPU and Memory)
4

Module 4 - Modular Architecture design

  • A general template to answer client-side system design questions
  • Common mistakes made in the interviews
  • Deep dive into strategies to design modular code architecture, which would involve concepts around dependency injection and SOLID principle implementation
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 Android Engineers

Android Engineer Interview Process at Tier-1 Companies

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

Initial Screening

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

Behavioral 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 Android Coding Rounds

  • Analyze/Debug the source code of an Android application
  • Implement a mobile app feature, for instance, translating various touch gestures to their corresponding image transformations

1-2 System Design Rounds

  • Design Android clients for various use cases
  • 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.

Frequently Asked Questions