Master On-Device ML & AI for Mobile Apps — 2025 Edition

Master On-Device ML & AI for Mobile Apps — 2025 Edition udemy course

Train & Deploy ML Models with TensorFlow Lite, Build AI-Powered Mobile Apps for Android, iOS & Flutter Without the Cloud

Unlock the full potential of Machine Learning (ML) and AI in mobile development with this 2025-ready, hands-on course. Whether you're a beginner, mobile developer, or a data science enthusiast, you’ll learn how to build, train, and deploy real machine learning models on-device — without the need for internet or cloud services.

You’ll go from the foundations of ML & deep learning to creating intelligent mobile apps that run locally on Android, iOS, and Flutter, using the power of TensorFlow Lite.

What You’ll Learn

Core ML & Deep Learning Concepts

• Understand types of machine learning, model training, evaluation, and real-world use cases

• Dive into neural networks, activation functions, and deep learning workflows

Python & Data Science Tools

• Master Python for ML with hands-on use of NumPy, Pandas, and Matplotlib

• Build a strong foundation in data handling, visualization, and preprocessing

TensorFlow & TensorFlow Lite

• Train machine learning models using TensorFlow 2.x

• Convert models to TensorFlow Lite (TFLite) for efficient on-device execution

Projects You’ll Build & Deploy On-Device

Linear Regression & Predictive Apps

• Predict fuel efficiency, house prices, and more

• Deploy these models directly into Android, iOS, and Flutter apps

Image Classification

• Train CNNs and use Teachable Machine for no-code model building

• Integrate classification models into apps to analyze images and video feeds

Object Detection with Transfer Learning

• Collect, annotate, and train object detection models using transfer learning

• Optimize and deploy them in real-time detection apps

Mobile Development with ML Integration

Flutter (Dart)

• Use TFLite models in Flutter apps

• Work with image, video, and live camera feeds

• Build cross-platform ML apps from scratch

Native Android (Kotlin)

• Integrate ML models using Kotlin and Android Studio

• Access the CameraX and ML Kit APIs

• Build efficient and responsive AI-powered Android apps

iOS (Swift & SwiftUI)

• Load and run ML models in Swift

• Build smooth and lightweight on-device AI apps for iPhones and iPads

Why On-Device ML in 2025?

No Internet Needed – Run AI models locally with privacy and speed
Lightning Fast Inference – Optimized for performance with TFLite
Cross-Platform Deployment – Android, iOS, and Flutter in one course
Industry-Relevant Skills – TensorFlow, Python, TFLite, app integration

By the End of This Course, You’ll Have Built:

• Linear Regression AI Apps (pricing, prediction, efficiency)

• Image Classifier Apps (image & video classification)

• Object Detection Apps (live detection using mobile cameras)

Stay ahead in the fast-changing mobile AI world. This is your 2025 complete guide to mastering on-device machine learning and building real, production-ready mobile apps with AI.

Enroll now and start building intelligent mobile apps with on-device AI — faster, smarter, and completely offline.