Free Online TensorFlow Lite Courses & MOOCs

Coursera

DeepLearning.AI

Device-based Models with TensorFlow Lite (Coursera)

CS: Software Engineering Computer Science

Embark on a journey into the practical application of machine learning models with 'Device-based Models with TensorFlow Lite'. This course is designed for those who want to extend their expertise beyond modeling data and delve into deploying ML models in real-world scenarios. You'll learn how to optimize models for mobile devices, execute them on both Android and iOS platforms, and even deploy on embedded systems like Raspberry Pi and microcontrollers using TensorFlow Lite.

Jun 22nd 2026

4 Weeks

Machine Learning Android Apps Object Detection

Udacity

Introduction to TensorFlow Lite (Udacity)

Data Science

Discover how to efficiently deploy your deep learning models on mobile and embedded devices with our Introduction to TensorFlow Lite course. Created by the experts at TensorFlow and Udacity, this course provides a practical guide for developers looking to apply their deep learning expertise in mobile environments. Learn from industry leaders and gain the skills needed to optimize and run machine learning models on resource-constrained devices.

Self Paced

Self-Paced

Android Linux Embedded Systems

EdX

HarvardX,Harvard University

Deploying TinyML (edX)

Statistics & Data Analysis Computer Science

Embark on the journey of building your own Tiny Machine Learning (TinyML) device. This course will guide you through programming in TensorFlow Lite for microcontrollers, enabling you to write code, deploy models, and ultimately create an entire TinyML application from scratch.

Self Paced

Self-Paced

Programming Microcontrollers TensorFlow Lite