
Install Android Studio and configure Flutter by installing the Dart and Flutter plugins, set up the Android SDK command line tools, accept licenses, and verify readiness with Flutter doctor.
Explain how an api enables two programs to communicate, using a weather app to fetch city weather by hitting a platform's url and displaying the result.
Learn GUI and logic improvements in Flutter by clearing input after sending, wrapping the scaffold in a safe area to keep UI visible, and displaying error messages with status codes.
Center the app bar title in white, and redesign the bar as a white rounded card with margins and padding, while hiding the text field border and adding hint text.
Learn to build a professional Flutter chat GUI using the dash chat library to display sent prompts and Gemini model responses, with a messages list and setState.
Learn to add a real-time chat feature in a Flutter app that uses Google Gemini and GenAI, enabling the assistant to reference prior conversations for more contextual follow-ups.
Enable a chat feature in a Flutter app by implementing multi-turn conversations with Google Gemini, passing dynamic chat history to the API to preserve context.
Explore customizing the chatbot voice in a Flutter Gemini app by listing and selecting English US TTS voices, checking network requirements, and applying a voice with the set voice method.
Select an image from the gallery in a flutter app using image picker, then edit it with a JNI model guided by a user prompt and display the edited image.
Learn to display a selected image in a Flutter app and send the image with a prompt to a Gemini GenAI model to edit or generate images, streamlining the workflow.
Convert an image file to Base64 by reading bytes and encoding, detect mime type with a library, defaulting to image/jpeg, then send and render the edited Base64 image in Flutter.
Demonstrate image understanding in Flutter apps with Gemini, letting users pick a gallery image and ask questions about it, such as describing the scene or a recipe.
Build a real-time image understanding workflow in Flutter with Gemini, letting users pick an image, ask questions or captions, and receive text responses from a base64 image API.
Learn to pass selected pdfs to Google Gemini in a Flutter app, and use understand documents to answer prompts, including pdf mime types and base64 encoding.
Demonstrate adding audio understanding in a Flutter app using Gemini and GenAI, allowing users to select audio files, ask questions, and obtain details about content and sections.
Important: Complete Course is re-recorded in August 2025 and using latest models of Gemini.
Ready to create intelligent, real-time AI assistants inside your Flutter apps using the power of Google Gemini and Generative AI?
In this hands-on course, you’ll learn how to use Google’s advanced Gemini models and GenAI features to build dynamic, interactive assistant applications using Flutter and Dart. Whether you're building chatbots, productivity tools, or support systems — this course equips you with the skills to turn your ideas into intelligent mobile apps.
Taught by Muhammad Hamza Asif — a seasoned mobile ML instructor with over 6 years of experience and 60,000+ students on Udemy — this course gives you practical experience with Flutter, Gemini, and Generative AI.
What You’ll Build & Learn:
Real-Time AI Interactions: Display Gemini's responses instantly using Flutter streams and dynamic UIs.
Natural Chat Interfaces: Create visually appealing, responsive chat layouts using Flutter’s UI toolkit.
Gemini Text Integration: Send messages and receive intelligent replies using Gemini’s text generation API.
Image-to-Text Functionality: Let users upload images and get descriptive or insightful AI responses.
Context-Aware Conversations: Maintain ongoing conversations that remember user context and intent.
Voice-Powered Assistants: Add speech-to-text and text-to-speech features to make your assistant fully voice-enabled.
GenAI Features: Tap into broader Generative AI capabilities to boost your app’s intelligence and flexibility.
By the end of this course, you will:
Build and deploy smart AI assistant apps using Flutter & Dart.
Combine voice, image, and text inputs for a rich user experience.
Leverage Gemini and GenAI APIs to power conversations in real time.
Create assistants for customer service, productivity, education, and more.
Whether you're a Flutter developer or an AI enthusiast, this course empowers you to create the next generation of mobile AI apps.
Enroll now and start building powerful AI assistants in Flutter!