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


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


  • Mobile developers
  • Data scientists
 21 Hours

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