TensorFlow Lite for Androidのトレーニングコース

Android Nougat is the 7th version of the Android operating system. With Android Nougat, users can create Android applications with features such as multitasking, split-screen support, and much more.

    
This instructor-led, live training (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.

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.

TensorFlow Lite is a lightweight version of TensorFlow designed for mobile and embedded devices. Edge AI with TensorFlow Lite focuses on utilizing TensorFlow Lite for developing and deploying Edge AI models. This course covers the tools and techniques specific to TensorFlow Lite, providing practical knowledge for building efficient AI models for edge devices.

This instructor-led, live training (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.

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.

TensorFlow Lite is an open source deep learning framework for executing models on mobile and embedded devices with limited compute and memory resources.

This instructor-led, live training (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 machine learning 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 their default capabilities.
• Deploy deep learning models on embedded devices running Linux to solve physical world problems such as recognizing images and voice, predicting patterns, and initiating movements and responses from robots and other embedded systems in the field.

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.

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 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.

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.

TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on microcontrollers and other devices with limited memory.

This instructor-led, live training (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.

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.

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

このインストラクター主導の日本でのライブトレーニング（オンラインまたはオンサイト）は、Androidアプリケーションが基盤となるハードウェアと通信できるようにするHALインターフェイスを作成したい開発者を対象としています。

このトレーニングが終了するまでに、参加者は次のことができるようになります。

• Android用のHAL開発を開始するために必要な開発環境をセットアップします。
• HALインターフェースを実装して、Androidサービスがハードウェア・デバイス・ドライバーと通信できるようにします。
• HALモジュールがAndroidシステムによってどのようにロードされるかを理解します。
• Androidエミュレーターを使用して、HALコードを繰り返し開発、テスト、およびデバッグします。
• 実際のテストのために、HALモジュールを物理的なAndroidデバイスにロードしてデプロイします。
• HALの再構築されたHIDLを理解し、Android8.0デバイスに実装します。

Android system programming refers to development involving both hardware and software.

This instructor-led, live training (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).

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.

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.