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
What you'll learn
Understand core ML and deep learning concepts
Master Python and data science tools like NumPy and Pandas
Train and deploy machine learning models using TensorFlow and TensorFlow Lite
Implement predictive apps and image classification models
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