Designing Mobile Applications Like U.S. Big Tech: iOS and Android System Design

A mobile app is not complete simply because its screens are well designed. True mobile system design begins when the network disconnects, the app is terminated, data is duplicated, and countless events arrive simultaneously. In this course, you will directly design systems such as an Instagram feed, WhatsApp messaging, Uber location tracking, Netflix offline downloads, Spotify streaming, and ChatGPT,Claude-style AI apps, while developing the mobile architecture mindset expected at major U.S. tech companies. You will not memorize a finished architecture from the start. Beginning with the simplest implementation, you will identify problems such as data inconsistencies, slow screens, duplicate messages, battery drain, app termination, and deployment failures. Through solving these problems, you will progressively internalize the principles of offline-first design, Sync Engines, state machines, caching, retries, real-time connections, Push Notifications, observability, and AI-native architecture. By comparing the platform constraints of iOS and Android, you will learn how to design mobile systems that are fast, reliable, and capable of recovering from failures—not merely how to implement features.

50 learners are taking this course

Level Intermediate

Course period Unlimited

iOS
iOS
Android
Android
Swift
Swift
Kotlin
Kotlin
iOS
iOS
Android
Android
Swift
Swift
Kotlin
Kotlin

What you will gain after the course

  • I can systematically design Instagram feeds, WhatsApp messaging, Uber location tracking, Netflix downloads, Spotify streaming, and AI mobile apps—from requirements through incident response.

  • You can design a recoverable offline-first architecture and Sync Engine that handles network disconnections, app termination, duplicate requests, and data conflicts.

  • You can distinguish the roles of WebSocket, SSE, Polling, APNs, and FCM and design a real-time mobile system that includes message ordering, reconnection, read receipts, and Presence.

  • We can design architectures suited to iOS and Android by considering app lifecycles, process death, background execution, and battery and network constraints.

  • You can design an AI-native mobile architecture that includes on-device AI and server AI selection, an LLM streaming UI, Tool Call approvals, and cost and privacy considerations.

  • I can logically explain the requirements, data model, state machine, failure paths, performance, and trade-offs within the limited interview time.

A practical mobile system design course on structurally designing iOS and Android apps

Mobile apps aren’t complete just because you’ve built polished screens.
True mobile system design begins when the network goes down, the app is terminated, data is duplicated, and countless events arrive simultaneously.

This course is a hands-on journey where you design Instagram feeds, WhatsApp messaging, Uber location tracking, Netflix offline downloads, Spotify streaming, and ChatGPT- and Claude-style AI apps, building the mobile architecture mindset expected at major U.S. tech companies.

We do not memorize a completed architecture from the start.
Starting with the simplest implementation, you will directly discover and solve problems such as data inconsistencies, slow screens, duplicate messages, battery drain, app termination, and deployment failures.
Through this process, you will gradually master the principles of offline-first design, Sync Engines, state machines, caching, retries, real-time connections, Push Notifications, observability, and AI-native architecture.

By comparing the platform constraints of iOS and Android, you will learn how to design mobile systems that are fast, stable, and capable of recovering from failures, going beyond feature implementation.

Recommended for people like these

Mobile developers who can implement screens but are unsure how to design the app as a whole

  • Those who can implement features but whose code is becoming increasingly tangled

  • Those who use MVVM, Repository, and Clean Architecture but are unclear about “why they should design things this way”

  • Those who want to grow beyond implementing screens and become developers responsible for architecture

Developers struggling with real-world issues like offline functionality, synchronization, caching, and real-time updates through temporary code

  • Those who handle issues such as network disconnections, app termination, duplicate requests, and conflict resolution with individual exception handling every time.

  • Those experiencing issues where adding a cache instead causes data inconsistencies or makes real-time connections unstable

  • Those who want to move beyond a “structure that works but isn’t sustainable”

Developers preparing for mobile system design interviews at major U.S. tech companies or looking to design larger-scale service architectures

  • Those who have prepared to some extent for iOS/Android coding interviews but feel overwhelmed by the system design round

  • Those who want to learn how apps like Instagram, WhatsApp, Uber, Netflix, and ChatGPT are actually designed

  • Those who want to become developers capable of explaining not just implementation, but also requirements, trade-offs, and failure handling.

After completing the course,

  • You can systematically design large-scale mobile services from requirements through failure handling.

  • You can design an offline-first architecture that can recover even after network disconnections and app termination.

  • You can design real-time systems that include message ordering, reconnection, read receipts, and push notifications.

  • You can make iOS and Android architecture decisions that account for app lifecycle, battery, memory, and network constraints.

  • You can design an AI-native mobile app architecture that combines LLM streaming UIs with on-device and server-side AI.

  • In interviews or real-world work, you can logically explain the reasons behind your design decisions and the trade-offs, rather than simply listing technologies.


Features of this course

1. A course where you experience problems first, solve them, and learn the underlying principles.

This course does not explain a completed architecture from the start.
It begins with the simplest structure, then has you directly confront the problems you will inevitably encounter in a real-world service.

For example, with image loading,
we start by “simply fetching and rendering the image from a URL,”
and then directly observe issues such as duplicate requests while scrolling, incorrect images being displayed, increasing memory usage, and cache invalidation.
Only then do you understand why concepts such as caching, request deduplication, cancellation, decoding, and disk caching are necessary.

In other words, this is not a “course that introduces technologies”
but a course that helps you internalize why problems occur and how to solve them structurally.


2. A course that designs big-tech case studies from a mobile perspective, all the way through

We don’t simply introduce the Instagram feed, WhatsApp messaging, Uber location tracking, Netflix offline downloads, Spotify streaming, or the ChatGPT and Claude mobile apps.

We design each case from start to finish according to the following flow.

  • What requirements are there?

  • What should the mobile client be responsible for?

  • Where is the data stored?

  • How does it work when offline?

  • What needs to be restored when the app is terminated?

  • How are real-time connections and push notifications divided in terms of their roles?

  • How should performance, battery usage, security, and observability be designed?

So by the end of the course, you will progress beyond simply thinking, “Oh, I guess this is roughly how such an app would be built,”
to the point where you can actually explain your design proposal.


You’ll learn the following:


Fundamental Principles of Mobile System Design and Data Architecture

In this section, you will learn the core mindset of mobile system design.
You will understand the difference between implementing features and designing systems, and clarify the scope of what a mobile client should actually be responsible for.

In particular, it focuses on the following topics.

  • Mobile System Design Approach

  • State Management and Data Layer

  • Single Source of Truth

  • Caching and cache invalidation

  • Offline-first

  • Sync Engine

  • Optimistic updates

  • Conflict resolution

  • App Lifecycle and Process Death Handling

  • iOS, Android Background Execution Models

Through this section,
you will move beyond the level of “an app that displays data received from the server”
and establish the principles for designing a recoverable, long-lasting mobile data architecture.


Real-time systems, performance optimization, Push, AI-native architecture

This section covers the most challenging problems encountered in real-world services.

  • WebSocket, SSE, and Polling Comparison

  • Message ordering guarantees and read receipts

  • Push Notification System Design

  • Image Loading and Caching Pipeline

  • Performance optimization for large-scale lists and feeds

  • Memory, Battery, and Network Budget Design

  • Mobile Observability Architecture

  • Phased rollout and operations strategy

  • On-Device AI vs. Server AI

  • LLM Streaming UI

  • Agentic Mobile UX

Through this section,
you will not learn the concepts of each technology separately; instead,
you will develop the ability to assess real-time capabilities, performance, operations, and AI holistically within a single app architecture.

The person who created this course

  • Silicon Valley Survivor | American Snail 

    Drawing on experience and expertise gained at the forefront of the Global Tech Scene, this course presents a path for non-majors to overcome technical barriers and become the owners of their businesses.

    • Current) Founder of a Silicon Valley AI coding agent startup

      • Operating the self-developed AI tool 'Snailer CLI' (18K+ downloads)

      • Selected for the Google for Startups Program

    • Former engineer at a major U.S. tech company and promising startups

      • Gave up an Amazon final-stage opportunity to start a company

      • Silicon Valley AI FinTech Startup Engineer

      • OpenAI / Meta / Apple / Adobe / Amazon Full-Stack Fellowship

      • Domestic search engine portal, fintech development

      • AI startup AR/B2B/SDK development

    • Proven educational expertise

I have never viewed mobile app development as simply “creating screens.”
In practice, when you build an app, the problems begin after the screens are built.

Images load slowly, networks drop, apps crash, real-time connections become unstable, caches get tangled, and users feel for no reason that “the app is acting strange.”
What you need at that moment is not another new library, but a systems perspective.

I have consistently worked on architecture, performance, real-time processing, streaming, data flows, and server integration issues in real-world service environments, with a focus on iOS development.
Through my experience with search portals, fintech services, vision/AR-based apps, real-time audio, video features, and mobile-server integration architectures, I came to realize one thing in common.

Many developers learn how to “implement features,” but
it is difficult to systematically learn “why architectures break down” and “how to design them.”

This course was created specifically to bridge that gap.

Instead of listing theory,
the course is designed to start with the simplest implementation, reveal problems, and teach the underlying principles as you solve them.
That’s why the goal of this course isn’t to introduce a lot of technologies, but to
help students determine the right design direction on their own when they encounter a new mobile service.

Do you have any questions?

Q1. Is this course only for iOS developers?

No.
This course does not delve deeply into the syntax of any particular framework; instead, it covers the principles and structure of mobile system design.
Therefore, both iOS and Android developers can take it.

However, because the explanations also compare the differences between iOS and Android,
even if you are familiar with only one platform, you can broaden your perspective to include the other platform as well.

Q2. Can complete beginners who are just starting out in mobile development take this course?

It is more suitable for those with basic app development experience than for complete beginners.

For example,

  • have experience calling APIs

  • and understand the concept of asynchronous processing

  • Someone with even a little experience with state management or local storage

you should be able to follow along without difficulty.

On the other hand, if you are not yet familiar with Swift/Kotlin syntax itself,
it will be much more effective to take a basic app development course first.
This course focuses more on design and decision-making than on syntax.

Q3. Is it okay if I don’t have experience with server system design?

Yes, that’s fine.

This course is not about deeply implementing server infrastructure; instead,
it focuses on explaining what responsibilities a mobile client must take on under various constraints.
Of course, it also covers the boundaries between the client and server,
but the key question is, “How should a system be designed from the client’s perspective?”

Rather, if you have already studied server system design to some extent,
this course will help you clearly understand “what is different and what is more difficult on mobile.”

Q4. Does this course involve writing a lot of code, or is it focused on design?

We cover both, but the primary focus is on design.

However, we do not explain design only in abstract terms.
We start with the simplest code structure, examine what problems arise,
and then proceed to refactoring and structural improvements.

In other words,

  • Concept explanation

  • Simple code example

  • Problem situation

  • Structural improvements

  • Final design

Because the course follows this flow,
it helps reduce the problem of “understanding the architecture but not being able to connect it to the code.”

Q5. Does it actually help with interview preparation?

Yes.
This course is not just a collection of practical tips; it focuses on training you in the structure of system design answers.

For example, you will practice answering questions such as the following.

  • What is the first thing you should check in this requirement?

  • How should responsibilities be divided between the mobile device and the server?

  • What data should be retained when the network connection is lost?

  • How should real-time connections and Push be divided in terms of their roles?

  • What criteria should be used to evaluate performance, battery consumption, and recoverability?

Therefore, it is directly helpful not only for real-world work
but also for preparing for big tech–style mobile system design interviews.

Notes Before Taking the Course

Practice Environment

  • This course can be taken in both macOS and Windows environments.

  • To run the iOS examples yourself, it would be helpful to have macOS and Xcode.

  • To directly try out the Android examples, it would be helpful to have an Android Studio environment.

  • However, the focus of the course is mobile system design principles, not how to use a specific IDE, so you can still take the course even if your practice environment isn't perfect.


Study materials

  • Lecture materials PDF

  • Key diagrams for each section

  • Architecture Explanation Notes

  • Example Code and Checkpoint Code

  • System Design Answer Template

  • Practical Case Study Summary Materials

  • Core Review Questions List

The materials are not just simple summaries;
they are designed to be reference materials you can revisit for work and interviews even after completing the course.

Prerequisite Knowledge and Notes

  • It would be helpful if you have experience developing mobile apps with Swift, Kotlin, Dart, or React Native.

  • Basic knowledge of REST API calls, JSON processing, and asynchronous programming is required.

  • If you have even a little experience with MVVM, state management, and local storage, you’ll be able to follow along more easily.

  • This course is not an introductory syntax course; it is an intermediate-to-advanced course focused on developing mobile architecture skills.

  • Rather than focusing on how to use specific libraries, this course centers on explaining “why this kind of structure is necessary.”

  • It will be continuously supplemented through questions and answers, and the core content will be updated so that it can be applied directly to practical work and interviews.

Recommended for
these people

Who is this course right for?

  • iOS and Android developers who can implement screens but feel overwhelmed about how to design the overall app’s data flow and architecture.

  • A mobile developer handling practical issues like network disconnections, app closures, cache invalidation, and synchronization conflicts with temporary code.

  • A developer preparing for the System Design round of a mobile engineer interview at a major U.S. tech company

  • A developer who wants to apply ChatGPT- and Claude-style LLM streaming UIs and agentic mobile UX to their product

  • A developer who wants to grow beyond implementing features into a mobile architect responsible for performance, battery life, security, observability, and deployment.

Need to know before starting?

  • Experience developing mobile apps using one of Swift, Kotlin, Dart, or React Native is preferred.

  • Basic knowledge of REST API calls, JSON processing, and asynchronous programming is required.

  • Experience with ViewModel, state management, and local storage will help you understand this.

  • Experience with advanced algorithms or server system design is not required.

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Courses

  • Silicon Valley Survivor | American Snail

    Drawing on experience and expertise gained at the forefront of the Global Tech Scene, I show non-majors how to overcome technical barriers and become the owners of their businesses.

    • Current) Founder of a Silicon Valley AI coding agent startup

      • Operating the internally developed AI tool 'Snailer CLI' (18K+ downloads)

      • Selected for the Google for Startups Program

    • Former engineer at U.S. big tech companies and promising startups

      • Gave up Amazon’s final-stage opportunity to found a startup

      • Silicon Valley AI Fintech Startup Engineer

      • OpenAI / Meta / Apple / Adobe / Amazon Full-Stack Fellowship

      • Domestic search engine portal, fintech development

      • AI startup AR/B2B/SDK development

    • Proven educational expertise

      • Dual major in Computer Engineering and Business Administration at a four-year university in Seoul, with extensive startup experience

      • Over 1,800 students taught cumulatively, with 4.5K+ followers on SNS Threads and 470+ Substack followers.

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32 lectures ∙ (10hr 38min)

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