Flutter AI & TensorFlow Lite – Train ML Models & Build Apps

About this course

Learn how to build powerful AI-powered mobile apps with Flutter and TensorFlow Lite for Android and iOS.In this hands-on course, you will learn how to train custom machine learning models from scratch, convert them to TensorFlow Lite, and integrate them into real Flutter applications.

This course is designed for Flutter developers, mobile app developers, and beginners in machine learning who want practical experience building real AI apps.

Whether you want to create intelligent mobile apps, explore computer vision, or add AI features to your Flutter projects, this course gives you a complete step-by-step workflow.

What You Will Learn

Understand machine learning and deep learning fundamentals

Train custom AI and ML models using TensorFlow and Python

Build TensorFlow Lite models for mobile apps

Integrate TensorFlow Lite models into Flutter apps

Create AI-powered Android & iOS applications

Use Flutter with real-time computer vision features

Build image classification and object detection apps

Create regression-based prediction apps

Work with live camera feeds using ML KitDeploy machine learning features inside production-ready Flutter apps

Build Real AI Projects

In this course, you will build practical machine learning and AI-powered Flutter apps including:

• AI House Price Prediction App: Build a regression-based Flutter app that predicts house prices using trained ML models.
• Fuel Efficiency Prediction App: Train and deploy a machine learning model for fuel efficiency estimation.
• Image Classification Flutter App: Train your own image classification model and use it inside Flutter apps.
• Real-Time Object Detection App: Use TensorFlow Lite and ML Kit for live object detection with

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.