
Learn to build a welcome screen UI in Flutter for a ChatGPT app, using a stack with upper and bottom sections, safe area, and a continue button.
You will need this in the upcoming lecture.
Navigate from the welcome screen to a home screen using push replacement and implement first-launch persistence with shared_preferences, while enabling light and dark themes and styling adjustments.
Build a Flutter drawer with a top and bottom column, using space between, featuring an edit icon, a new chat label, settings, and a bottom login or sign up button.
Create an AI service class in Flutter to call a chat API using http, with API key, base URL, model, and messages payload to generate responses.
Convert a text widget to a text field with hint 'ask anything' using a text editing controller and a show-send-icon toggle in Flutter, and make the UI avoid keyboard overlap.
Build a Flutter home screen for a chat app by modeling chat messages and displaying a no-message state or centered cards like 'what can I help with' and 'surprise me'.
Store user and API responses in a messages list, render them with a ListView.builder, align messages by sender on the home screen, and clear input after sending while handling errors.
Implement sending messages from the home card by toggling the send icon, clearing the input, and unfocusing after dispatch, with cards for surprise me or summarize text.
Set up a Firebase project named ChatGPT by using the Firebase console, configure Android and iOS, install the Flutter Firebase client, enable Google sign-in, and prepare Firestore to store chats.
Implement a Google sign-in flow in Flutter using a dedicated auth services class, Firebase auth, and Google sign in to obtain credentials and sign in.
Implement a logged-in user drawer using Firebase auth, switch to a get plus button when signed in, and link to a settings screen with profile details.
Build settings screen in Flutter, show a progress indicator when the user is null, display avatar and name when available, sign out via an auth service, then navigate home.
Update the drawer UI by building the upper layout, adding a search bar and new chat button, listing ChatGPT, and fetching charts from Firebase to display.
Fetch chat history from Firebase Firestore, stream real-time chats ordered by createdat, and display them as tappable tiles with a loading indicator and option to start a new chat.
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 development—from 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.