Build an iOS 16 Coffee Shop App Using SwiftUI And Firebase

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Build an iOS 16 Coffee Shop App Using SwiftUI And Firebase

Coursera · Beginner ·🔍 RAG & Vector Search ·1mo ago
Skills: UI Design80%
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will build a real online coffee shop ordering application using SwiftUI, starting from scratch with iOS, SwiftUI, and XCode. The course focuses on writing clean, reusable code, setting up TabView, creating models, dummy drinks, HomeView models, Firebase repositories, drink rows, Async images, detailed views, and basket view models. You'll learn to secure storage and save users to a keychain. Advanced topics include creating a Firebase app, saving menus, setting up repositories, and creating orders. By the end, you'll independently build a coffee shop app allowing users to choose items, place orders, pay, and save user data using Xcode, SwiftUI, and Firebase. You'll create a beautiful UI with SwiftUI, manage online baskets, authenticate Firebase users, and ensure dark and light mode compatibility. Ideal for iOS developers familiar with Xcode, Swift, and SwiftUI, the course provides valuable insights even for experienced developers. Prerequisites include experience with Xcode, basic Swift and SwiftUI knowledge, and familiarity with Firebase Firestore.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Ever Wondered How to Make Your RAG More Effective?
Improve your RAG effectiveness by connecting instead of searching
Medium · RAG
Why StarRocks Is Better Than Elasticsearch for RAG and AI-Powered Vector Search Analytics
Learn why StarRocks outperforms Elasticsearch for RAG and AI-powered vector search analytics, and how to apply this knowledge to improve your data architecture
Medium · LLM
Production RAG: Shipping a RAG System Into an Enterprise Product
Learn how to ship a RAG system into an enterprise product, overcoming operational realities and challenges beyond the demo stage
Medium · RAG
HyDE: Search With the Answer You Wish You Had
Learn how HyDE improves search by using the answer you wish you had as a query, and why traditional question-based searches are limited
Medium · RAG
Up next
Watch this before applying for jobs as a developer.
Tech With Tim
Watch →