TensorFlow Lite for Android Training Course


TensorFlow Lite is an open source deep learning framework for mobile devices and embedded systems.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop mobile applications with deep learning capabilities.

By the end of this training, participants will be able to:

  • Install and configure TensorFlow Lite.
  • Understand the principles behind TensorFlow, machine learning and deep learning.
  • Load TensorFlow Models onto an Android device.
  • Enable deep learning and machine learning functionality such as computer vision and natural language recognition in a mobile application.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
  • To learn more about TensorFlow, please visit: https://www.tensorflow.org/lite/


  • Experience with Python programming language.
  • Experience with mobile application development.


  • Mobile developers
  • Data scientists

Course Outline


Overview of TensorFlow Lite Features and Design

Machine Learning and Deep Learning Fundamentals

Preparing the Mobile App Development Environment

Creating an App for Object Recognition

Setting up TensorFlow Lite

Selecting a TensorFlow Model

Converting the TensorFlow Model

Loading the TensorFlow Model onto a Mobile Device

Optimizing the TensorFlow Model for Mobile Devices

Adding Chat Capabilities for Smarter Replies

Loading a Pre-trained TensorFlow Model

Retraining a TensorFlow Model

Pre-processing a Dataset

Setting the Hyperparameters

Deploying the AI Enabled App

Running TensorFlow Models on Other Embedded Devices


Summary and Conclusion

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