物聯網（IoT）培訓 | Internet of Things (IoT)培訓

與其他技術不同，物聯網更為複雜，幾乎涵蓋了核心工程的每個分支 - 機械， Electron ，固件，中間件，雲，分析和移動。對於其每個工程層，都有經濟學，標準，法規和不斷發展的現有技術等方面。這是第一次，提供適度的課程，涵蓋物聯網工程的所有這些關鍵方面。

摘要

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一個高級培訓計劃，涵蓋物聯網的當前最新技術

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跨越多個技術領域，以提高對物聯網系統及其組件的認識，以及它如何幫助企業和組織。

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模擬物聯網應用程序的現場演示，展示跨不同行業領域的實際物聯網部署，例如工業物聯網，智能城市，零售，旅行和運輸以及連接設備和事物的使用案例

目標觀眾

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負責各自組織內業務和運營流程的經理，並希望了解如何利用物聯網使其係統和流程更高效。

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正在尋求建立新企業並希望更好地了解物聯網技術格局的企業家和投資者，以了解他們如何以有效的方式利用它。

對物聯網或物聯網市場價值的估計是巨大的，因為根據定義，物聯網是一個集成和擴散的設備，傳感器和計算能力層，覆蓋整個消費者，企業對企業和政府行業。物聯網將佔據越來越多的連接：今天的設備數量達到19億台，到2018年達到90億次。那一年，它將大致相當於智能手機，智能電視，平板電腦，可穿戴計算機和個人電腦的數量。

在消費領域，許多產品和服務已經跨越物聯網，包括廚房和家用電器，停車場，RFID，照明和加熱產品，以及工業互聯網中的許多應用。

然而，物聯網的基礎技術並不是什麼新事物，因為自互聯網誕生以來就存在著M2M通信。然而，在過去幾年中發生了變化的是，在每個家庭中通過壓倒性地改編智能手機和平板電腦而增加的廉價無線技術的出現。移動設備的爆炸式增長導致了物聯網的當前需求。

由於物聯網業務的無限機會，大量的中小型企業家紛紛加入物聯網淘金熱潮。此外，由於開源電子和物聯網平台的出現，物聯網系統的開發成本和進一步管理其大規模生產的成本越來越低。現有的電子產品所有者正面臨將其設備與互聯網或移動應用集成的壓力。

此培訓旨在對新興行業進行技術和業務審核，以便物聯網愛好者/企業家能夠掌握物聯網技術和業務的基礎知識。

當然客觀的

該課程的主要目標是介紹在家庭和城市自動化（智能家居和城市），工業互聯網，醫療保健， Go vt。，Mobile Cellular和其他領域的物聯網實施的新興技術選項，平台和案例研究。

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IoT-Mechanical， Electron /傳感器平台，無線和有線協議，移動到Electron集成，移動到企業集成，數據分析和總控制平面的所有元素的基本介紹

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用於IoT-WiFi，Zigbee / Zwave，藍牙，ANT +的M2M無線協議：何時何地使用哪一個？

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移動/桌面/網絡應用程序 - 用於註冊，數據採集和控制 - 可用於物聯網的M2M數據採集平台 - Xively，Omega和NovoTech等

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物聯網的安全問題和安全解決方案

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IoT- Raspberry Pi ， Arduino ，ArmMbedLPC等的開源/商業電子平台

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適用於AWS-IoT應用程序的開源/商業企業雲平台， Azure -IOT，Watson-IOT雲以及其他次要IoT雲

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研究一些常見的物聯網設備的業務和技術，如家庭自動化，煙霧報警器，車輛，軍事，家庭健康等。

Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.

High-value government solutions will be created from a mashup of the most disruptive technologies:

- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics

IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.

But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.

The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.

The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.

Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.

機器對機器（M2M）是指聯網的機械或電子設備之間的直接自動通信。

Insurtech （又名數字保險）是指保險+新技術的融合。在Insurtech領域，“數字保險公司”將技術創新應用於其業務和運營模式，以降低成本，改善客戶體驗並提高運營的靈活性。

在這個由講師指導的培訓中，參與者將了解在其組織內和整個行業中實現數字化轉型所需的技術，方法和思維方式。培訓的對Insurtech全局，打破炒作和行話的管理人員，並採取建立Insurtech戰略的第一步。

在培訓結束時，參與者將能夠：

- 以智能和系統的方式討論Insurtech及其所有組成部分
- 確定並揭開Insurtech中每項關鍵技術的作用。
- 起草在其組織內實施Insurtech的一般戰略

聽眾

- 保險公司
- 保險業內的技術人員
- 保險利益相關
- 顧問和業務分析師

課程形式

- 部分講座，部分討論，練習和案例研究小組活動

Unlike other technologies, IoT is far more complex encompassing almost every branch of core Engineering-Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics and Mobile. For each of its engineering layers, there are aspects of economics, standards, regulations and evolving state of the art. This is for the firs time, a modest course is offered to cover all of these critical aspects of IoT Engineering.

For manufacturing professional, most critical aspect is to understand the advancement in the area of Industrial Internet of things, which includes predictive and preventative maintenance, condition based monitoring of the machines, production optimization, energy optimization, supply-chain optimization and uptime of manufacturing utilities etc.

Summary

- An advanced training program covering the current state of the art in Internet of Things in Smart Factories.
- Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help manufacturing managerial professionals
- Live demo of model IIoT applications for smart factories

Target Audience

- Managers responsible for business and operational processes within their respective manufacturing organizations and want to know how to harness IoT to make their systems and processes more efficient.

Duration 3 Days ( 8 hours / day)

Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.

In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.

However the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.

Industrial IoT, or IIoT for manufacturing has been widely in use since 2014 and since then a large number of IIoT innovations have taken place. This course will introduce all the important aspects of innovations in Industrial IoT area.

This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.

Course Objective

Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in smart factories for manufacturing sectors.

- Studies of business and technology of some of the common IIoT platform like Siemens MindSphere and Azure IoT.
- Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT, Mindsphere IIoT cloud in addition to other minor IoT clouds
- Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
- Security issues and security solutions for IIoT
- Mobile/Desktop/Web app- for registration, data acquisition and control –
- M2M Wireless protocols for IoT- WiFi, LoPan, BLE, Ethernet, Ethercat, PLC : When and where to use which one?
- Basic introduction of all the elements of IoT-Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile to Electronics integration, Mobile to enterprise integration, Data-analytics and Total control plane

物聯網（IoT）是一種無線連接物理對象和軟件應用程序的網絡基礎設施，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。 在這種有指導性的現場培訓中，參與者將學習物聯網的基礎知識，因爲他們逐步創建了基于Arduin的物聯網傳感器系統。 在培訓結束後，參與者將能夠： 了解物聯網的原則，包括物聯網組件和通信技術了解如何使用可用于不同物聯網系統的Arduino通信模塊了解如何使用和編程移動應用來控制Arduino 使用WiFi模塊將Arduino連接到其他設備構建和部署他們自己的物聯網傳感器系統 聽衆 愛好者硬件/軟件工程師和技術人員所有行業的技術人員初學者開發者 課程的格式 部分講座，部分討論，練習和沈重的練習 注意 Arduino有不同的型號，支持不同的編程接口（C，C ++，C＃，Python）和IDE（Arduino IDE，Visual Studio等）。本課程假定Arduino Uno板，Arduino IDE和Arduino語言（基于C / C ++）。要申請不同的設置，請聯系我們安排。 參與者負責購買Arduino硬件和組件。

Internet of Things (IoT)是一種網絡基礎設施，可以無線連接物理對象和軟件應用程序，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。

在這個以講師為主導的現場培訓中，參與者將學習物聯網的基礎知識，因為他們逐步使用Raspberry Pi創建物聯網傳感器系統。

在培訓結束時，參與者將能夠：

- 了解物聯網的原理，包括物聯網組件和通信技術
- 了解如何專門為物聯網應用設置Raspberry Pi
- 構建和部署自己的物聯網傳感器系統

聽眾

- 愛好者
- 硬件/軟件工程師和技術人員
- 各行各業的技術人員
- 初學者開發者

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

注意

- Raspberry Pi支持各種操作系統和編程語言。本課程將使用基於Linux的Raspbian作為操作系統，使用Python作為編程語言。要請求具體設置，請聯繫我們安排。
- 參與者負責購買Raspberry Pi硬件和組件。

物聯網安全101：

本課程概述了物聯網安全的最新現行做法以及該主題的內容
不斷發展的。它旨在讓物聯網開發人員，管理人員為其物聯網產品做出戰略決策
作為供應商和客戶。

課程結構為24小時，12個模塊，12x2。每個模塊2個小時。

受傳統語音和數據收入的限制，CSP（通信服務提供商）是
尋找提供給家庭，辦公室和個人的物聯網服務的新收入來源。作為一個
結果，物聯網正在成為新的OSS和BSS模型的一部分。

12個模塊，每24小時2小時，3天課程

摘要

- 電信公司成功實現物聯網服務整合的案例研究
- 物聯網服務與OSS的集成
- 新型本地物聯網數據/服務/連接產品
- 垂直物聯網 - 全面服務銷售與物聯網中間件銷售。
- 在BSS中整合物聯網銷售

目標觀眾

- 負責各自電信/ CSP組織內業務和運營流程的經理

持續時間3天（8小時/天）

In this instructor-led, live training in 台灣, participants will learn how to maximize the performance of Nginx as they set up, configure, monitor and troubleshoot Nginx for handling various forms of HTTP / TCP traffic. Topics covered include how to configure the most important parameters in Nginx, the OS and a virtual machine to gain maximum value out of Nginx.

Internet of Things (IoT) is an emerging technology domain that connects physical objects and software applications wirelessly for remote sensing and control. Augmented Reality (AR) is a technology that improves user experience by blending virtual computer-generated elements with the physical real-world environment. AR allows businesses to provide users with a real-time and real-world view of information. These are two technologies that have been seeing a rapidly growing adoption rate across multiple industries.

In this instructor-led, live training, participants will learn the fundamentals of IoT and AR and apply these learnings to their organizations' operations and strategies.

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

- Understand the fundamentals of IoT and AR
- Learn how IoT and AR technologies work
- Understand how IoT and AR technologies can be applied to their business' strategy
- Make informed business decisions about IoT and AR

Audience

- Managers
- Entrepreneurs

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.

Internet of Things (IoT)是一種網絡基礎設施，可以無線連接物理對象和軟件應用程序，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。 Java是一種通用語言，以“一次編寫，隨處運行”而聞名。由於其便攜性和效率，建議將Java用於物聯網。

在這個以講師為主導的現場培訓中，參與者將學習如何使用Java編寫物聯網解決方案。

在培訓結束時，參與者將能夠：

- 安裝和配置用於使用Java編程物聯網系統的工具和框架（Eclipse Open IoT Stack）
- 了解物聯網架構的基礎知識
- 使用Eclipse Open IoT Stack for Java連接和管理IoT解決方案中的設備
- 使用Java構建，測試和部署IoT系統

聽眾

- 開發商
- 工程師

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

注意

- 要申請本課程的定制培訓，請聯繫我們安排。

Internet of Things (IoT)是一種網絡基礎設施，可以無線連接物理對象和軟件應用程序，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。 C是一種推薦用於物聯網的通用編程語言，因為它具有普遍性和低級編程優勢。

在這個以講師為主導的現場培訓中，參與者將學習如何用C編寫物聯網解決方案。

在培訓結束時，參與者將能夠：

- 安裝和配置NetBeans以使用C對IoT系統進行編程
- 了解物聯網架構的基礎知識
- 了解在編程物聯網系統中使用C的好處
- 使用C構建，測試，部署和排除IoT系統故障

聽眾

- 開發商
- 工程師

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

注意

- 要申請本課程的定制培訓，請聯繫我們安排。

Internet of Things (IoT)是一種網絡基礎設施，可以無線連接物理對象和軟件應用程序，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。 Python是一種推薦用於物聯網的高級編程語言，因為它具有清晰的語法和大量的社區支持。

在這個以講師為主導的現場培訓中，參與者將學習如何使用Python編寫物聯網解決方案。

在培訓結束時，參與者將能夠：

- 了解物聯網架構的基礎知識
- 了解使用Raspberry Pi的基礎知識
- 在Raspberry Pi上安裝和配置Python
- 了解在編程物聯網系統中使用Python的好處
- 使用Python和Raspberry Pi構建，測試，部署和排除IoT系統故障

聽眾

- 開發商
- 工程師

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

注意

- 要申請本課程的定制培訓，請聯繫我們安排。

Internet of Things (IoT)是一種網絡基礎設施，可以無線連接物理對象和軟件應用程序，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。 Java Script是一種流行的面向對象編程語言，因其無處不在的性質而被推薦用於物聯網。

在這個以講師為主導的現場培訓中，參與者將學習如何使用Java Script編寫物聯網解決方案，同時逐步開發物聯網系統儀表板。

在培訓結束時，參與者將能夠：

- 了解物聯網架構的基礎知識
- 為物聯網設置和配置Arduino
- 了解Java Script在編程物聯網系統中的作用
- 使用Arduino和Java Script開發物聯網系統
- 使用Java Script構建，測試，部署和排除IoT系統儀表板故障

聽眾

- 開發商
- 工程師

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

注意

- 要申請本課程的定制培訓，請聯繫我們安排。

物聯網（IoT）是一種無線連接物理對象和軟件應用程序的網絡基礎設施，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。由于其卓越的性能，PHP是推薦用于物聯網的服務器端腳本語言。 在這個有指導的現場培訓中，參與者將學習如何使用PHP開發物聯網應用程序。 在培訓結束後，參與者將能夠： 了解物聯網架構的基本原理安裝和配置工具（IBM Watson IoT Platform，適用于Android應用程序的IoT Starter）以幫助開發PHP應用程序了解在編程物聯網系統中使用PHP的好處使用PHP構建，測試，部署和排除物聯網系統的故障 聽衆 開發商工程師 課程的格式 部分講座，部分討論，練習和沈重的練習 注意 要請求本課程的定制培訓，請聯系我們安排。

Internet of Things (IoT)是一種網絡基礎設施，可以無線連接物理對象和軟件應用程序，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。 Azure是一套全面的雲服務，提供物聯網套件，包括預先配置的解決方案，可幫助開發人員加速物聯網項目的開發。

在這個由講師指導的實時培訓中，參與者將學習如何使用Azure開發物聯網應用程序。

在培訓結束時，參與者將能夠：

- 了解物聯網架構的基礎知識
- 安裝和配置Azure IoT Suite
- 了解在編程物聯網系統中使用Azure的好處
- 實施各種Azure IoT服務（IoT Hub，功能，流分析， Power BI ，Cosmos DB，DocumentDB，IoT設備Management ）
- 使用Azure構建，測試，部署和排除物聯網系統故障

聽眾

- 開發商
- 工程師

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

注意

- 要申請本課程的定制培訓，請聯繫我們安排。

物聯網（IoT）是一種無線連接物理對象和軟件應用程序的網絡基礎設施，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。安全性是物聯網解決方案部署的主要障礙之一。由于物聯網技術涉及廣泛的設備，因此設計物聯網安全性對于成功部署物聯網至關重要。 在這種有指導性的現場培訓中，參與者將了解物聯網架構並了解適用于其組織的不同IoT安全解決方案。 在培訓結束後，參與者將能夠： 了解物聯網架構了解新興的物聯網安全威脅和解決方案在組織中實施物聯網安全技術 聽衆 IT專業人員開發商工程師經理 課程的格式 部分講座，部分討論，練習和沈重的練習 注意 要請求本課程的定制培訓，請聯系我們安排

Internet of Things (IoT)是一種網絡基礎設施，可以無線連接物理對象和軟件應用程序，允許它們相互通信並通過網絡通信，雲計算和數據捕獲交換數據。

Blockchain是一個分散的數據庫系統，它將數據存儲在分佈在許多節點上的分類賬中。

將區塊鏈技術與物聯網結合使用，可以實現物聯網數據的可訪問性和供應，而無需集中控制。這種集成為商業組織開闢了一系列新的可能性和多種好處。

在這個以講師為主導的現場培訓（遠程）中，參與者將學習區塊鍊和物聯網如何在他們通過一系列動手實踐的實踐練習中一起工作。

在培訓結束時，參與者將能夠：

- 了解區塊鍊和物聯網如何協同工作，為其組織提供解決方案
- 探索各種工具和資源，為其組織實施基於區塊鏈的物聯網解決方案

聽眾

- 開發商
- 經理

課程格式

- 部分講座，部分討論，練習和繁重的實踐練習。

注意

- 要申請本課程的定制培訓，請聯繫我們安排。

物聯網應用程式安全性是指用於開發、管理和監視物聯網系統中控制網路設備的應用程式的技術和流程

本講師指導的現場培訓 (現場或遠端) 針對希望設置、部署和管理安全物聯網應用程式的工程師

。

到本次培訓結束時, 學員將能夠:

- 開發和部署應用程式以安全地管理物聯網設備
。 - 將物聯網設備安全集成到雲
。 - 將物聯網應用程式與現有基礎架構集成
。 課程 格式

- 互動講座和討論.
- 大量的練習和練習
- 在現場實驗室環境中的實際實現。

課程自訂選項

- 本課程可以基於任何主要的雲供應商: aws、google 雲和 azure。
- 如需定制培訓, 請聯繫我們安排

本講師指導的現場培訓 (現場或遠端) 針對的是希望應用法醫分析技術以減輕和應對物聯網和雲級別的安全威脅的工程師

課程 的

格式

- 互動講座和討論.
- 大量的練習和練習
- 在現場實驗室環境中的實際實現。

課程自訂選項

- 要要求本課程的定制培訓, 請聯繫我們安排

Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 12 B by 2019 and 100B+ by 2025.

In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.

The underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However, what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.

Over the last three years, engineering in IoT has seen massive changes primarily driven by Microsoft, Google and Amazon. These large behemoths have invested billions of dollars to develop IoT platforms that are more easy to manage and secure. Also, IoT edge has gained a lot of momentum in both research and deployment as only means for practical IoT implementation. 5G is also promising to transform the business of IoT. This has led to an unprecedented large swath of new areas of research funding in IoT.

However, Govt adaptation of IoT is slow due to security concerns at various levels. One of the major issue is, disagreement among different large IoT vendors on the matter of security. Microsoft Azure, Amazon AWS have pushed forward with its own security standards. Whereas NIST is placing a more comprehensive one. OWASP model of 10 layers of IoT security did some impact but overall failed to get much ground due to non-adoption from major IoT platform like Azure or Google.

Course Objective

- Give introduction of all the technology stacks of IoT
- Drawing the layers of vulnerability at each stack and between the stack
- Learning about the NIST standard of IoT security

Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 12 B by 2019 and 100B+ by 2025.

In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.

The underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However, what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.

As DLT become more understood in recent years and its capability to solve enterprise business use cases become evident, technologist have been exploring Distributed Ledger Technology (DLT) (such as Blockchain or IOTA) to solve use cases that have been daunting industries for years. Unlike existing technologies, one of the key features of DLT is its unparalleled capability to provide, traceability, accountability and immutable records that can be accessed at any point in time. One application area of interest in DLT is securing heterogenous networks. The technology has to be secured, immutable and offer real time transaction.

Course Objective

- Give introduction of migration of centralized cloud based IoT to decentralized edge based IoT (with example of smart car charging, P2P energy grids)
- Drawing the layers of vulnerability at each stack and between the stack
- Learning about the DLT (Blockchain and DAG – direct acyclic graph) in IoT initiatives in IBM, Samsung, IOTA foundation and some other large players.
- Case studies and application areas for DLT in IoT

Connected device is disrupting many business, power utility being no exception. Power Utility companies are essentially faced with four challenges from growth of IoT

- Machines, Controllers, HMI, SCADA systems are increasingly becoming cloud connected by the vendors who promise to offer more analytics and insight via their data for predictive and preventative maintenance. But quarantine policy of the critical assets means these new IoT features from the Machine/Controller Vendors can’t be utilized by the Power Companies
- With the ever decreasing cost of solar and wind power microgrid, Utility companies will soon see declining revenue from power generation. To compensate for the lost revenue of power production, the company has to aggressively pursue new areas of revenues such as Energy management of Home as a service, Energy storage as a service, offering grid service for EV charging, grid service for P2P energy trading between the homes, home and microgrid, microgrid to microgrid, microgrid to battery, home to battery etc. All of this need to be facilitated via smart metering, smart grid and smart & secured transactions only possible via DLT ( distributed ledger technology) like IOTA. Also Utilities are exploring to offer some of the smart city services to the city authority
- For critical infrastructure like dams, ICOLD ( International Committee Of Large Dams) want to see Structural Health Monitoring (SHM) of the dams real time so that any impending danger of collapse of the dam or rock or tunnel can be informed in advance to vacate the people who may be affected
- Also a new emerging area of revenue will be EV charging in Parking-How IoT can facilitate smart charging and smart parking?

Over the last three years, engineering in IoT has seen massive changes primarily driven by Microsoft, Google and Amazon. These large behemoths have invested billions of dollars to develop IoT platforms that are more easy to manage and secure. Also IoT edge has gained a lot of momentum in both research and deployment as only means for practical IoT implementation. 5G is promising to transform the business of IoT. This has led to an unprecedented large swath of new areas of research funding in IoT. This is why right now for any practicing engineer it is absolutely essential to understand IoT platforms developed for major players like AWS, Google and Specially Microsoft.

However, neither of the above platform offers exhaustive or a totally comprehensive solution for a scalable IoT. Just for Smart Metering to be deployed to millions of homes, additional technology to secure the smart meter, radio networks, IoT management technology and many other additional secured services will be required. Strategy, Price and Security of any IoT deployment must be optimal and acceptable. Given so much of interdisciplinary knowledge, it is almost difficult for any company to deploy a team which can meet all the requirements.

This course is a modest attempt to educate the key decision makers, developers, security experts about what are the challenges, risks and practical way to deploy IoT for their next generation power utility business.

In addition, with scalable deployment, managing IoT services for thousands of sensors and connections are emerging as a separate engineering subject of research. This area , formally known as managed IoT services is experiencing rapid growth as challenges for scalable IoT are much bigger than building them. This includes security of over the top firmware/software update, managing calibration of the sensors and systems, auto-diagnosis of any connection issue, narrowing down on root cause of API failures, tracking the hardware and service health of the distributed system etc.

Course objectives

Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in Power Utility Companies - Smart Metering, Smart Car, SHM ( structural health monitoring), Power Quality Diagnosis and Smart Contracts. Basic introduction of all the elements of IoT-Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile to Electronics integration, Mobile to enterprise integration, Data-analytics and control plane applications.

- IoT technology Stacks: Devices, Gateways, Edge, Edge Cloud, Public Cloud, IoT databases, Web & Mobile Applications for IoT, Centralized vs Decentralized IoT
- IoT ecosystem for Business, third party device management, risk management of entire IoT ecosystem
- M2M Wireless protocols for IoT- WiFi, SigFox,LORA, LPWAN, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one
- Fundamentals of IoT Gateways- Risks, Management and Ecosystem
- Mobile/Desktop/Web app - for registration, data acquisition and control –Available M2M data acquisition platform for IoT—AWS IoT, Azure IoT, Google IoT
- Security issues and solutions for IoT- Review of security of all the technology stacks
- Enterprise IoT platforms such as Microsoft Azure IoT suites, AWS IoT, Google IoT , Siemens MindSphere
- Smart Metering, Open Smart Grid Protocols (OSGP), ANSI C 2.18 Protocols , NIST Standard for HAN ( Home Area Network), Home Plug Powerline Alliance , Security Standard for Smart Meter- IEC 62056
- Distributed Ledge Technology ( DLT) such as Blockchain, HyperLedger and DAG ( Direct Acyclic Graph) for smart contract, P2P transactions, smart car charging
- IoT for critical infrastructure like DAM, Transformer, Sub-station, High Tension Wire

This instructor-led, live training in 台灣 (online or onsite) is aimed at developers and programmers who wish to install, configure, and manage the Kaa platform to build IoT applications.

By the end of this training, participants will be able to build, develop, manage, and implement IoT applications for smart devices and machines using Kaa.

NB-IoT允許IoT設備在諸如GSM的運營商網絡和LTE信道之間的“保護頻帶”上操作。 NB-IoT只需200kHz的帶寬，可以有效連接大量的端點設備（每個NB-IoT網絡單元最多可達50,000個）。其低功耗要求使其非常適用於小型，簡單的物聯網設備，如智能停車，公用設施和可穿戴設備。

今天的大多數物聯網連接都是工業連接。工業物聯網（IIoT）連接需要低功率廣域（LPWA）技術，以便為低帶寬應用提供連接，覆蓋和訂閱功能。雖然這些要求可以由現有的蜂窩網絡提供，但是這種網絡可能並不理想。 NB-IoT （窄帶物聯網）技術提供了一種很有前景的解決方案。

在這個以講師為主導的現場培訓中，參與者將在開發和部署基於NB-IoT的樣本應用程序時了解NB-IoT （也稱為LTE Cat NB1）的各個方面。

在培訓結束時，參與者將能夠：

- 確定NB-IoT的不同組成部分以及如何組合在一起形成生態系統。
- 了解並解釋NB-IoT設備內置的安全功能。
- 開發一個簡單的應用程序來跟踪NB-IoT設備。

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

Kura是一個基於Java的開源IoT框架，支持訪問底層硬件，與M2M / IoT集成平台進行通信，網關管理和網絡配置管理。

在以講師為主導的現場培訓中，參與者將學習Kura的基本原理以及如何將其用於物聯網解決方案。

在培訓結束時，參與者將能夠：

- 安裝和配置Kura
- 了解Kura的基本原理和核心功能
- 使用Kura構建，測試，部署和排除物聯網解決方案故障

聽眾

- 開發商
- 程序員

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

注意

- 要申請本課程的定制培訓，請聯繫我們安排。

ThingsBoard是一個開源的物聯網平台，為您的物聯網解決方案提供設備管理，數據收集，處理和可視化。

在這個以講師為主導的現場培訓中，參與者將學習如何將ThingsBoard集成到他們的物聯網解決方案中。

在培訓結束時，參與者將能夠：

- 安裝和配置ThingsBoard
- 了解ThingsBoard功能和架構的基礎知識
- 使用ThingsBoard構建IoT應用程序
- 將ThingsBoard與Kafka集成，用於遙測設備數據路由
- 將ThingsBoard與Apache Spark集成，以便從多個設備進行數據聚合

聽眾

- 軟件工程師
- 硬件工程師
- 開發商

課程形式

- 部分講座，部分討論，練習和繁重的實踐練習

注意

- 要申請本課程的定制培訓，請聯繫我們安排。

This instructor-led, live training in 台灣 (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.

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

- Understand the basic concepts and advantages of Edge Computing.
- Identify the use cases and examples where Edge Computing can be applied.
- Design and build Edge Computing solutions for faster data processing and reduced operational costs.

物聯網是物聯網。

此講師指導的現場培訓（現場或遠端）面向希望使用智慧城市、智慧製造、5G-IoT 等物聯網的教師和研究工程師。

到本培訓結束時，學員將能夠具備以下功能：

- 縱向方面：新興物聯網實施的新技術選擇、平臺和案例研究（智慧城市、智慧製造、農業、公共安全等）
- 橫向方面：（邊緣計算、PaaS 平臺、5G-IoT 等），面向大學研究人員

課程格式

- 互動講座和討論。
- 大量的練習和練習。
- 在即時實驗室環境中實際實現。

課程自訂選項

- 如需申請本課程的定制培訓，請聯繫我們安排。
- 要瞭解有關 IoT 的更多詳細資訊，請訪問：