Free Course

Introduction to TensorFlow Lite

by
TensorFlow Lite

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.

Nanodegree Program

Deep Learning

Build Deep Learning Models Today

Build cutting-edge AI projects supported by dedicated mentors.

About this Course

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. This course was developed by the TensorFlow team and Udacity as a practical approach to model deployment for software developers. You'll get hands-on experience with the TensorFlow Lite framework as you deploy deep learning models on Android, iOS, and even an embedded Linux platform. By the end of this course, you'll have all the skills necessary to start deploying your own deep learning models into your apps.

Course Cost
Free
Timeline
Approx. 2 months
Skill Level
intermediate
Included in Product

Rich Learning Content

Taught by Industry Pros

Interactive Quizzes

Self-Paced Learning

Join the Path to Greatness

This course is your first step towards a new career with the Deep Learning Nanodegree Program.

Free Course

Introduction to TensorFlow Lite

byTensorFlow Lite

Learn how to deploy deep learning models into your apps using TensorFlow Lite.

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Course Leads

Daniel Situnayake

Daniel Situnayake

Developer Advocate, Google

Paige Bailey

Paige Bailey

Developer Advocate, Google

Juan Delgado

Juan Delgado

Content Developer, Udacity

What You Will Learn

Prerequisites and Requirements

General Experience: Some familiarity with the TensorFlow Lite framework, and comfortability with Object Oriented Programming, Python, Swift, Android, and Machine Learning.

See the Technology Requirements for using Udacity.

Why Take This Course

With TensorFlow Lite, the Google TensorFlow team has introduced the next evolution of the TensorFlow Framework, specifically designed to enable machine learning at low latency on mobile and embedded devices. This course was created as a practical approach to model deployment for software developers, providing hands-on experience deploying deep learning models on Android, iOS, and even an embedded Linux platform. Get started today to stay on the cutting-edge of machine learning practices.

What do I get?
Instructor videosLearn by doing exercisesTaught by industry professionals