TensorFlow Lite for Android Training Course

This instructor-led, live training in Latvia (online or onsite) is aimed at android developers who wish to build, update, and manage a mobile Android application with Android Nougat.

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

• Deploy a mobile Android application to the Google Play Store.
• Use object-oriented programming with Java on Android.

This instructor-led, live training in Latvia (online or onsite) is aimed at intermediate-level developers, data scientists, and AI practitioners who wish to leverage TensorFlow Lite for Edge AI applications.

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

• Understand the fundamentals of TensorFlow Lite and its role in Edge AI.
• Develop and optimize AI models using TensorFlow Lite.
• Deploy TensorFlow Lite models on various edge devices.
• Utilize tools and techniques for model conversion and optimization.
• Implement practical Edge AI applications using TensorFlow Lite.

This instructor-led, live training in Latvia (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.

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.

This instructor-led, live training in Latvia (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.

Android is Google's mobile operating system. This course demonstrates through hands-on practice the fundamentals of Android.

The objective of cross-platform frameworks is to allow you to write applications once and have it run on multiple platforms. Want to build an iPhone app that will also run on Android? Have a customer turn round and want their Android app to run on Windows Phone? No problem.

On this three-day PhoneGap/Apache Cordova course you will look at two different yet complimentary technologies for cross-platform mobile development. (Apache Cordova is the new name for PhoneGap. Adobe acquired PhoneGap from the original developers and gifted it to the Apache Software Foundation.)

Upon completion of this PhoneGap/Apache Cordova course, you will be able to build fully-functioning mobile Web applications using the framework, manage source code and handle platform tweaks, create “native like” experiences from a web application -- and much more!

This course has been created for everyone interested in creating Android applications.

During this course, you will learn the fundamental skills required for building Android applications from scratch using interesting features added to the Android platform, like background processing, database access and location-Based Services.

Objectives:

Upon completion of this training course, the delegate will be able to:

• Build their own Android Application and upload it to the Android Market.
• Develop for simulators and real devices.
• Learn all the basics of Android Development.

Android is an open source platform developed by Google for mobile development.

Applications for the Android platform are developed in Java.

This course overviews Android's fundamental topics.

Android is an open source platform developed by Google for mobile development.

Applications for the Android platform are developed in Java.

This course overviews Android's fundamental topics.

This is the fast track program that paces up the original training

This instructor-led, live training in Latvia (online or onsite) is aimed at developers who wish to write HAL interfaces to enable Android applications to talk to the underlying hardware.

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

• Set up the development environment needed to start HAL development on Android.
• Implement a HAL interface to enable Android services to communication with hardware device drivers.
• Understand how a HAL module and loaded by an Android system.
• Develop, test and debug HAL code iteratively using an Android emulator.
• Load and deploy HAL modules onto a physical Android device for real-world testing.
• Understand and implement HAL's re-architectured HIDL on Android 8.0 devices.

This instructor-led, live training in Latvia (online or onsite) is aimed at developers who wish to understand, adapt, and extend Android for different hardware and platforms.

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

• Set up the development environment needed to start system development for Android.
• Understand how hardware interfaces with system services (applications)
• Develop, test and debug system code iteratively using an Android emulator.
• Load and deploy customized Android on different embedded hardware systems (using simulated/emulated).

This course aims at providing software testers with the required knowledge and skills in order to perform quality assurance tests for software applications that were developed for the Android platform. This course overviews the Android platform capabilities and provides you with up-to-date practices for performing the tests.

This instructor-led, live training in Latvia (online or onsite) is aimed at developers who wish to design and build new Android TV apps. They can also extend their existing apps to run on TV devices for boosting app engagement and revenue.

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

• Set up the necessary development environment to start developing Android TV apps.
• Understand the requirements for qualifying an app as a TV app.
• Create and test apps on an Android TV emulator for a first-hand user experience.
• Make the TV app searchable and integrate it with Google Assistant to optimize the user experience.