Master Flutter & Firebase By Building A Chatgpt Clone App
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.80 GB | Duration: 4h 10m
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.80 GB | Duration: 4h 10m
Level up your mobile dev skills by creating a full-stack ChatGPT clone with Flutter, Firebase, and Nebius AI.
What you'll learn
Build a full-featured AI chat app using Flutter and Firebase from scratch, with real-time messaging and a clean, responsive UI.
Integrate Nebius AI to connect with multiple AI models (like ChatGPT and DeepSeek), and handle AI-generated responses inside your Flutter app.
Implement Google Sign-In using Firebase Authentication and securely store user chat data in Firestore.
Design scalable Flutter apps with light/dark themes, reusable widgets, and structured navigation including bottom tabs and drawers.
Requirements
Basic knowledge of Flutter and Dart (comfortable with widgets, state, and navigation)
A Google account to use Firebase and Google Sign-In
An OpenAI-compatible API key from Nebius AI (free tier available)
Android Studio, VS Code, or any preferred Flutter IDE installed
A physical or virtual Android/iOS device for testing
Description
Unlock the power of Flutter and Firebase by building a fully functional, real-time AI chat application inspired by ChatGPT. This hands-on course will walk you through every step of developmentāfrom creating a sleek, modern UI to integrating powerful AI models using Nebius AI.By the end of the course, you'll not only have a complete app to showcase in your portfolio, but you'll also gain in-depth experience with real-world tools like Firebase Authentication, Firestore, and OpenAI-compatible APIs.What You'll Learn:Design a Sleek UI with Flutter:Build a polished, user-friendly interface using Flutter best practices and material design principles.Screen Setup & Navigation:Set up multiple screens, bottom navigation bars, and a side drawer for seamless app navigation.AI Integration with Nebius API:Learn to connect your app to the Nebius AI platform, which allows you to use multiple large language models (LLMs) like ChatGPT, DeepSeek, and others.Chat Logic & AI Responses:Handle real-time messaging, user input, and asynchronous AI responses using clean, scalable chat logic.Firebase Authentication:Implement secure Google Sign-In with Firebase Auth for a smooth user login experience.Store & Retrieve Messages with Firestore:Persist user chat history in Cloud Firestore, enabling cross-device access and real-time updates.Theming & Reusability:Build reusable Flutter widgets and implement both light and dark mode themes to enhance user experience and code maintainability.This course is perfect for mobile developers, Flutter learners, and tech enthusiasts who want to dive into AI-powered apps and build something both practical and impressive for 2025.
Overview
Section 1: The UI chunk
Lecture 1 Setting things up
Lecture 2 Welcome Screen UI
Lecture 3 Theme & Take Home Assignment
Lecture 4 Navigation Bar
Lecture 5 Drawer UI
Section 2: Integrate Nebius API
Lecture 6 Nebius API & Model
Lecture 7 AI Service Class
Lecture 8 TextField with Dynamic Icon
Lecture 9 Testing AI Service
Section 3: Display User and AI chats
Lecture 10 Home Screen UI
Lecture 11 Home Screen Card
Lecture 12 Displaying Messages on Home Screen
Lecture 13 Enchancements
Lecture 14 Send message through Home Card
Section 4: Authentication logic
Lecture 15 Auth Screen UI
Lecture 16 Setting Up Firebase
Lecture 17 Sign-in with Google Account
Section 5: Save and fetch users chat history - Firestore
Lecture 18 Logged In User Drawer
Lecture 19 Settings Screen
Lecture 20 Store Messages in Database
Lecture 21 Read Messages from Firestore
Lecture 22 Update Drawer UI
Lecture 23 Fetch Chat History from Firebase
Beginner to intermediate Flutter learners who are comfortable with the basics and ready to build a full-stack, production-ready application.,Tech enthusiasts and students interested in learning how modern AI models like ChatGPT and DeepSeek can be used in mobile apps.,Freelancers or job seekers who want to build an impressive project for their portfolio or GitHub.,Mobile app developers looking to integrate advanced features like chat interfaces, user authentication, and cloud storage.