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

About this course

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 LearnCore ML & Deep Learning ConceptsUnderstand types of machine learning, model training, evaluation, and real-world use casesDive into neural networks, activation functions, and deep learning workflowsPython & Data Science ToolsMaster Python for ML with hands-on use of NumPy, Pandas, and MatplotlibBuild a strong foundation in data handling, visualization, and preprocessingTensorFlow & TensorFlow LiteTrain machine learning models using TensorFlow 2.xConvert models to TensorFlow Lite (TFLite) for efficient on-device executionProjects You’ll Build & Deploy On-DeviceLinear Regression & Predictive AppsPredict fuel efficiency, house prices, and moreDeploy these models directly into Android, iOS, and Flutter appsImage ClassificationTrain CNNs and use Teachable Machine for no-code model buildingIntegr

Course objectives

• Enable students to build and deploy on-device machine learning models
• Provide hands-on experience in mobile app development using AI techniques
• Familiarize students with tools and libraries relevant to mobile ML applications