TensorFlow Lite Training Courses

TensorFlow Lite Training Courses

Local instructor-led live TensorFlow Lite training courses in Azərbaycan.

TensorFlow Lite Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
This instructor-led, live training in Azərbaycan (online or onsite) is aimed at developers who wish to use TensorFlow Lite to deploy deep learning models on embedded devices. By the end of this training, participants will be able to:
  • Install and configure Tensorflow Lite on an embedded device.
  • Understand the concepts and components underlying TensorFlow Lite.
  • Convert existing models to TensorFlow Lite format for execution on embedded devices.
  • Work within the limitations of small devices and TensorFlow Lite, while learning how to expand the scope of operations that can be run.
  • Deploy a deep learning model on an embedded device running Linux.
21 hours
This instructor-led, live training in Azərbaycan (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.
21 hours
This instructor-led, live training in Azərbaycan (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices. By the end of this training, participants will be able to:
  • Install TensorFlow Lite.
  • Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
  • Add AI to hardware devices without relying on network connectivity.
21 hours
This instructor-led, live training in (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop iOS 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 and machine learning on mobile devices.
  • Load TensorFlow Models onto an iOS device.
  • Run an iOS application capable of detecting and classifying an object captured through the device's camera.

Last Updated:

Online TensorFlow Lite courses, Weekend TensorFlow Lite courses, Evening TensorFlow Lite training, TensorFlow Lite boot camp, TensorFlow Lite instructor-led, Weekend TensorFlow Lite training, Evening TensorFlow Lite courses, TensorFlow Lite coaching, TensorFlow Lite instructor, TensorFlow Lite trainer, TensorFlow Lite training courses, TensorFlow Lite classes, TensorFlow Lite on-site, TensorFlow Lite private courses, TensorFlow Lite one on one training

Course Discounts

No course discounts for now.

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Some of our clients

is growing fast!

We are looking for a good mixture of IT and soft skills in Azerbaijan!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

To apply, please create your trainer-profile by going to the link below:

Apply now!

This site in other countries/regions