Навучальныя курсы Internet of Things (IoT)

The aim of the training is to introduce into the world of the Internet of Things (smart solutions) and blockchain as well as to show the advantages and disadvantages of these technological worlds.

The aim of the training is to explain what the 5G network is and what impact it has on smart technologies. I want to show you both the advantages and disadvantages of these technological relationships (5G / IoT) and show you the directions of development of the network, which - from the very beginning - was dedicated to the smart world.

The aim of the training is to explain what are - and what are not - Smart solutions (Internet of Things, AI, Blockchain, Virtual Reality, Metaverse) and to show the advantages and disadvantages of these technological worlds.

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. Summary

• An advanced training program covering the current state of the art in Internet of Things
• Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations.
• Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things

Target Audience

• Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient.
• Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.

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. Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app. 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 home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas.

1. 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
2. M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one?
3. Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc.
4. Security issues and security solutions for IoT
5. Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
6. Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
7. Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.

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.

Machine-to-Machine (M2M) refers to direct automated communication between networked mechanical or electronic devices.

Insurtech (a.k.a Digital Insurance) refers to the convergence of insurance + new technologies. In the field of Insurtech "digital insurers" apply technology innovations to their business and operating models in order to reduce costs, improve the customer experience and enhance the agility of their operations. In this instructor-led training, participants will gain an understanding of the technologies, methods and mindset needed to bring about a digital transformation within their organizations and in the industry at large. The training is aimed at managers who need to gain a big picture understanding, break down the hype and jargon, and take the first steps in establishing an Insurtech strategy. By the end of this training, participants will be able to:

• Discuss Insurtech and all its component parts intelligently and systematically
• Identify and demystify the role of each key technology within Insurtech.
• Draft a general strategy for implementing Insurtech within their organization

Audience

• Insurers
• Technologists within the insurance industry
• Insurance stakeholders
• Consultants and business analysts

Format of the course

• Part lecture, part discussion, exercises and case study group activities

Аднакшэнне ад іншых тэхнологій, IoT далей больш складна, якія захоўваюць амаль кожную галіну ядра інженернай-механічнай, Electron, Firmware, Middleware, Cloud, Analytics і Мобільны. Для кожнага яе інженерныя слоі існуе аспекты экономікі, стандартаў, рэгулаў і расцягваючы стан мастаткі. Гэта для часу часу, скромны курс прапануецца пакрыць усе гэтыя крытычныя аспекты ІоТ інженергіі.Для прафесіональнага працэсу, самая крытычная аспект з'яўляецца зразумець настаўленне ў дыяпазон прадумальнага Інтэрнэта рэчаў, які ўключае прагнатыўнае і перапынавальнае захаванне, назіранне машынамі, оптымізацыі вытвору, оптымізацыя энергіі, оптымізацыя задачка-кайна і час вытвораючых інтэрнэтаў і т.д.Кароткае апісанне

Пашыраная праграма вучэння, якія закладаюць бягучае стан мастача ў Інтэрнэце рэчы ў разумных фактарыях. Выразае ў некалькіх технологійных даменах, каб распрацоўваць сістэму IoT і яго кампанентаў, і як ён можа дапамогць вытвораць прафесіональныя працы кіраваньня Live demo of modell IIoT праграмы для разумных фабрикаў

Аўдыёніца прызначэння

Кіраўнікі адказныя за працэсы бізнес і аперацыіўных працэсаў у сваіх выкарыстаннях і жадаюць ведаць, як выкарыстоўваць IoT, каб зрабіць свае сістэмы і працэсы больш эфектыўна.

Працягласць 3 дзён (8 гадзін / дзень)Вызначэнне для Інтэрнэта ці значэння рынку IoT масіўна, таму што па вызначэнні IOT - гэта інтэграванае і дыфсаванае пласт прылад, сэнсары і вылічэнне, якія перапавядаюць усё пастаўніка, бізнэс і уладавыя індустрыі. ІоТ будзе рахунак яшчэ вялікіх колькасць злучэнняў: сёння 1,9 мільярды прылады, і 9 мільярды ў 2018. У гэтым годзе ён будзе аб'яўляецца колькасць смартфонаў, разумных тэлефонаў, таблетакаў, наладаючыя камп' ютэры і комп'ютэраў.У прасторы папернікаў шмат прадуктаў і служб ужо пераходзялі ў ІоТ, уключаючы кухня і домавыя апраграмы, паркування, RFID, светлівасць і горкавых прадуктаў, і некалькі праграм у прамысловым Інтэрнэце.Тым не менш, базісныя технологіі IoT - гэта нічога новых, як імя M2M існуе з нараджэння Інтэрнэта. Тым не менш, што зменены ў апошніх пару гадоў, з'яўляецца колькасць непрыкладных безбедных тэхнологій, дададзеных з надзвычайнай адаптацыі разумных тэлефонаў і таблет у кожным доме. Эксплозыўнае расту мобільных прылад прывесці да наступнага патрабу ЁТ.Індустрычнае IoT, або IIoT для вытворэння быў шырокі выкарыстоўваны з 2014, а з таго вялікая колькасць інновацыяў IIoT. Гэты курс будуць стварыць усе важныя аспекты інвацыі ў працэсным районе IOT.Гэта вучэнне маецца для тэхнологіі і прагляду бізнэснай індустрыі, каб інтузіасты і інтэрпренеры IoT могуць разумець асноўныя технологііі і бізнес.Цэл пляцоўкіГалоўная цель курса - гэта ўсталяваць няслушныя опцыі, платформы і вывучэнні выпадковых рэгістрацыі працэсу IOT у разумных фабриках для вытвораючых сектораў.

Вывучэнне бізнэсу і тэхнологіі некаторых з агульнай платформы IIoT, як Siemens MindSphere і Azure IoT. Адкрытыя крыніцы/комерцыйная праграма працэсаў AWS-IoT, Azure -IOT, Watson-IOT, Mindsphere IIoT блок, акрамя іншых маленькіх ІоТ, адкрытыя крыніца/комерцыйныя электронныя платформы для IoT-Raspberry Pi, Arduino, ArmMbedLPC і праблемы бяспечнасці і бяспечныя рашэнні для IIoT Mobile/Desktop/Web апраграмы для рэгістрацыі, закупкі дадзеных і кантроляцыі & ndash; M2M Безбедны пратаколы для IoT- WiFi, LoPan, BLE, Ethernet, Ethercat, PLC : Калі і дзе выкарыстоўваць адзін? Асноўны ўвод усе элементы платформы ЁТ-механічнага, Electronic/sensor, безбедны пратаколы і дрэва, інтеграцыі мабільнага да Electronак, інтэграцыі інтэграцыі інтэрфейсаў, дадзеных-аналітыкаў і агульны кантроль

In this instructor-led, live training in Беларусь, participants will learn the fundamentals of IoT as they step through the creation of an Arduino-based IoT sensor system. By the end of this training, participants will be able to:

• Understand the principles of IoT, including IoT components and communication techniques.
• Learn how to use Arduino communication modules that can be used for different IoT systems.
• Learn how to use and program a mobile app to control Arduino.
• Use a Wi-Fi module to connect the Arduino to another device.
• Build and deploy their own IoT Sensor System.

Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. In this instructor-led, live training, participants will learn the fundamentals of IoT as they step through the creation of an IoT sensor system using the Raspberry Pi. By the end of this training, participants will be able to:

• Understand the principles of IoT, including IoT components and communication techniques
• Learn how to set up the Raspberry Pi specifically for IoT applications
• Build and deploy their own IoT Sensor System

Audience

• Hobbyists
• Hardware/software engineers and technicians
• Technical persons in all industries
• Beginner developers

Format of the course

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

Note

• Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
• Participants are responsible for purchasing the Raspberry Pi hardware and components.

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 some perimeters of data. 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 large scale adaptation of IoT is slow due to security concerns at various levels. Securing Firmware and Gateways is far from ideal.  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. Where as 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.
  Second large area of concern is security of Firmware. Primarily most of the Firmware are  still vulnerable to any patching be it via OTA ( over the top ) or locally via a hardware port.   Course Objective

1.  Give introduction of all the technology stacks, data model and vulnerability  of IoT
2.  Drawing the layers of vulnerability at each stack and between the stack
3.  Vulnerability from vendors and third party devices
4.  Learning about the NIST standard of IoT security

Constrained by traditional voice and data revenue, CSPs (communication service providers) are
looking for new source of revenue from IoT services provided to homes, office and personals. As a
result, IoT is becoming the part of new OSS and BSS model. Summary

• Case studies of successful IoT service integration by Telcos
• Integration of IoT services with OSS
• New kind of local IoT data/service/connectivity offering
• Vertical IoT -total service sale vs IoT middleware sale.
• Integration of IoT sale in BSS

Target Audience

• Managers responsible for business and operational processes within their respective ORGANIZATION in Telecom/CSPs

Duration 3 Days (7 hours / day)

In this instructor-led, live training in Беларусь, 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) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Java is a general purpose language that is known for being "write once, run anywhere." Java is recommended for IoT due to its portability and efficiency. In this instructor-led, live training, participants will learn how to program IoT solutions with Java. By the end of this training, participants will be able to:

• Install and configure tools and frameworks (Eclipse Open IoT Stack) for programming IoT systems with Java
• Understand the fundamentals of IoT architecture
• Use the Eclipse Open IoT Stack for Java to connect and manage devices in an IoT solution
• Build, test, and deploy an IoT system using Java

Audience

• Developers
• Engineers

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) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. C is a general purpose programming language recommended for IoT due to its ubiquity and low-level programming benefits.  In this instructor-led, live training, participants will learn how to program IoT solutions with C. By the end of this training, participants will be able to:

• Install and configure NetBeans for programming IoT systems with C
• Understand the fundamentals of IoT architecture
• Learn the benefits of using C in programming IoT systems
• Build, test, deploy, and troubleshoot an IoT system using C

Audience

• Developers
• Engineers

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) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Python is a high-level programming language recommended for IoT due to its clear syntax and large community support. In this instructor-led, live training, participants will learn how to program IoT solutions with Python. By the end of this training, participants will be able to:

• Understand the fundamentals of IoT architecture
• Learn the basics of using Raspberry Pi
• Install and configure Python on Raspberry Pi
• Learn the benefits of using Python in programming IoT systems
• Build, test, deploy, and troubleshoot an IoT system using Python and Raspberry Pi

Audience

• Developers
• Engineers

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) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. JavaScript is a popular object-oriented programming language recommended for IoT due to its ubiquitous nature. In this instructor-led, live training, participants will learn how to program IoT solutions with JavaScript as they step through the development of an IoT system dashboard. By the end of this training, participants will be able to:

• Understand the fundamentals of IoT architecture
• Setup and configure Arduino for IoT
• Understand the role of JavaScript in programming IoT systems
• Develop an IoT system using Arduino and JavaScript
• Build, test, deploy, and troubleshoot an IoT system dashboard using JavaScript

Audience

• Developers
• Engineers

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) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. PHP is a server-side scripting language recommended for IoT due to its superior performance. In this instructor-led, live training, participants will learn how to develop IoT applications using PHP. By the end of this training, participants will be able to:

• Understand the fundamentals of IoT architecture
• Install and configure tools (IBM Watson IoT Platform, IoT Starter for Android Application) to aid in developing PHP applications
• Learn the benefits of using PHP in programming IoT systems
• Build, test, deploy, and troubleshoot an IoT system using PHP

Audience

• Developers
• Engineers

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) з'яўляецца сеткі інфраструктурай, якая звязвае фізічныя аб'екты і праграмнае забеспячэнне бясплатна, што дазваляе ім размаўляць з іншымі і абмяжоўваць дадзеныя праз сеткі камунікацыі, облачных вывучэнняў і захоўвання дадзеных. У якасці прыкладу такіх сетак можна прывесці facebook і vkontakte, дзе любая фізічная асоба можа падаць рэкламную аб'яву. У гэтым інструктар-праведзены, жывы трэнінг, удзельнікі навучаюцца, як развіваць праграмы IoT з дапамогай Azure. У канцы гэтага трэніру ўдзельнікі зможаць:

Узнагароджанне фундаментаў архітэктуры IoT Інсталяцыя і ўстаноўка Azure IoT Suite Узнагароджанне выгоды выкарыстання Azure у праграмнае забеспячэнне сістэмаў IoT Імплементацыя розных Azure IoT паслуг (IoT Hub, Функцыі, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management) Стварыць, выпрабаваць, распаўсюджваць і распрацаваць сістэму IoT з дапамогай Azure

Адукацыя

Распрацоўнікі інжынеры

Формат курса

Частныя лекцыі, частковая дискусія, практыкаванні і цяжкія практыкаванні

Узнагароды

Калі вы хочаце падзяліцца сваёй думкай з майстрам, рабіце гэта максімальна ветліва.

In this instructor-led, live training in Беларусь, participants will understand Internet of Things (IoT) architectures and learn the different IoT security solutions applicable to their organization. By the end of this training, participants will be able to:

• Understand IoT architectures.
• Understand emerging IoT security threats and solutions.
• Implement technologies for IoT security in their organization.

Гэта рэпрэсіўны механізм, які працуе на дыктатуру. — Гэта рэпрэсіўны механізм, які працуе на дыктатуру. Blockchain з'яўляецца дэцентралізаванай сістэмай дадзеных, якая захавае дадзеныя ў лідэрах, распрацоўваных на многіх узроўніх. Дадатковыя функцыі ўключаюць у сябе джакузі для поўнай рэлаксацыі і камінам, каб трымаць вас у цяпле і сытна. Гэта выдатная платформа для выказвання маладымі людзьмі сваіх пазіцый, іх абмеркавання. У гэтым інструктар-праведзены, Live Training (Remote), удзельнікі будуць даведацца, як блокчейн і IoT могуць працаваць разам, калі яны праходзяць па серыі практычных жывых лабаравых практыкаванняў. У канцы гэтага трэніру ўдзельнікі зможаць:

Узнікае пытанне: калі іх ведае увесь свет, ці можна назваць іх няўдачнікамі? Даследаванне розных інструментаў і рэсурсаў для рэалізацыі блокчейн-базавага IoT рашэння для іх арганізацыі

Адукацыя

Распрацоўнікі менеджеры

Формат курса

Частныя лекцыі, частковая дискусія, практыкаванні і цяжкія практыкаванні.

Узнагароды

Калі вы хочаце падзяліцца сваёй думкай з майстрам, рабіце гэта максімальна ветліва.

This instructor-led, live training in Беларусь (onsite or remote) is aimed at engineers who wish to set up, deploy and manage a secure IoT application. By the end of this training, participants will be able to:

• Develop and deploy applications to manage IoT devices securely.
• Securely integrate IoT devices to the Cloud.
• Integrate an IoT application with existing infrastructure.

This instructor-led, live training in Беларусь (onsite or remote) is aimed at engineers who wish to apply forensic analysis techniques to mitigate and respond to security threats at the IoT and cloud level.

«Аналіз паказаў, што выдатак кармавых адзінак на 1 кг прыбаўлення на старых комплексах значна перавышае гэтае значэнне на новых. Індывідуальны IoT з'яўляецца больш і больш вялікім колькасцю злучэнняў: 12 Б да 2019 года і 100 Б+ да 2025 года. У якасці прыкладу такіх сетак можна прывесці facebook і vkontakte, дзе любая фізічная асоба можа падаць рэкламную аб'яву. «Міжземнаморская дыета» - адна з самых правільных і здаровых ў свеце, не строга, але ўсё ж, вегетарыянская. Варта зазначыць, што, напрыклад, у мінулым 2014 годзе ніякіх забаронаў на навагодні рост цэнаў не было. Выбуховы ўзрост мабільных прыладаў прывеў да сучаснага патрабавання на IoT. За апошнія тры гады інжынерыя ў IoT бачыла масіўныя змены ў першую чаргу накіраваныя Microsoft, Google і Amazon. Такія вялікія бегематы інвесціравалі мільярды даляраў у развіццё платформ IoT, якія з'яўляюцца лёгкімі для кіравання і бяспекі. У якасці прыкладу такіх сетак можна прывесці facebook і vkontakte, дзе любая фізічная асоба можа падаць рэкламную аб'яву. 5G Ён таксама абяцае трансформацыю бізнесу IoT. Гэта прывела да беспрецедентнага вялікага аб'ёму новых сфер фінансавання даследаванняў у IoT. З іншага боку, такое падзенне можа быць абумоўленае і «сезонным фактарам». І галоўная з іх заключаецца ў тым, што частка насельніцтва свядома прагаласавала «за». Microsoft Azure, Amazon AWS накіравалі дадому са сваімі стандартамі бяспекі. У той час як NIST размешчаны больш паўнавартасны. OWASP мадэль 10 слоў бяспекі ІоТ зрабіў некаторыя ўплывы, але ў сукупнасці не атрымаў шмат землі з-за неадпаведнасці з вялікіх платформ ІоТ, такіх як Azure або Google. Курс цілі

Давайце пазнаёмімся з усімі тэхналогіямі IoT Сцягнуць слоі рабства на кожным сцягу і паміж сцягам Заявы і абмоўкі пра абмежаванне адказнасці

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

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

Маючы мноства розных праектаў дае вам працу для розных якасцяў часу. Для падрыхтоўкі даследавання экспертам у сферы бухгалтарскага ўліку і падатковай справаздачнасці задавалася 70 пытанняў.

Максімальная колькасць абортаў у СССР у 1964 годзе дасягнула 5,5 мільёнаў (!). «Аналіз паказаў, што выдатак кармавых адзінак на 1 кг прыбаўлення на старых комплексах значна перавышае гэтае значэнне на новых. У якасці прыкладу такіх сетак можна прывесці facebook і vkontakte, дзе любая фізічная асоба можа падаць рэкламную аб'яву. Для адпраўкі загубленых даходаў вытворчасці электраэнергіі, кампанія павінна агрэсіўна праводзіць новыя сферы даходаў, такіх як энергетычнае кіраванне дома ў якасці паслугі, энергетычнае складання ў якасці паслугі, прапануючы сеткі паслугі для электраэнергетычнага зарядкі, сеткі паслугі для P2P энергетычнай камерцыі паміж домам, домам і мікрагрудам, мікрагрудам у мікрагрудам, мікрагрудам у батарэі, домам у батарэі і інш. «Аналіз паказаў, што выдатак кармавых адзінак на 1 кг прыбаўлення на старых комплексах значна перавышае гэтае значэнне на новых. Пераклад паўстаў у межах праекту «Homines Urbani» Таварыства «Villa Decius», Кракаў. У абменным пункце No5 "Белпрамбудбанка" каля рынку райспажыўтаварыства ўчора, 14 верасня, вывесілі новы курс валюты. Як паказана на BTC мой баланс да і пасля перадачы на фондавым рынку на фондавым рынку?

  За апошнія тры гады інжынерства ў IoT з'явілася масіўныя змены ў першую чаргу накіраваныя Microsoft, Google і Amazon. Такія вялікія мадэлі інвесціравалі мільярды даляраў у развіццё платформ IoT, якія з'яўляюцца лёгкімі для кіравання і бяспекі. «Аналіз паказаў, што выдатак кармавых адзінак на 1 кг прыбаўлення на старых комплексах значна перавышае гэтае значэнне на новых. Гэта таму, што ў цяперашні час для кожнага практычнага інжынера вельмі важна разумець платформы IoT, распрацаваныя для вялікіх гульцоў, такіх як AWS, Google і Спецыяльна Microsoft.   Нельга сказаць, што працэнт іх значна знізіўся, а працэнт іх значна знізіўся. Для таго, каб Smart Metering быў распаўсюджаны ў мільёны домаў, будуць патрэбныя дадатковыя тэхналогіі для забяспечэння смарт-метара, радыёсеты, тэхналогіі кіравання IoT і многіх іншых дадатковых забяспечаных паслуг. «Аналіз паказаў, што выдатак кармавых адзінак на 1 кг прыбаўлення на старых комплексах значна перавышае гэтае значэнне на новых. Размова сапраўды вельмі важная — мы ж усе цудоўна разумеем, што любы, самы лепшы дэкрэт можна звесці на нішто практыкай прымянення. Гэта курс з'яўляецца скромным пытанням вывучаць ключовых даследчыкаў, даследчыкаў, экспертаў з бяспекі пра тое, што вынікі, ризикі і практычны шлях для выкарыстання IoT для іх наступнага пакалення электраэнергетычнага бізнесу. «Аналіз паказаў, што выдатак кармавых адзінак на 1 кг прыбаўлення на старых комплексах значна перавышае гэтае значэнне на новых. «Аналіз паказаў, што выдатак кармавых адзінак на 1 кг прыбаўлення на старых комплексах значна перавышае гэтае значэнне на новых. Гэта ўключае ў сябе бяспеку над найвышэйшым фармерным / праграмнае забеспячэнне, кіраванне калібрацыяй дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных дадзеных.   Курс цілі Галоўная задача курса з'яўляецца ўведамленне новыя тэхналогічныя магчымасці, платформы і даследаванні прычыны ўплыву на ІОТ у Power Utility Companies - Smart Metering, Smart Car, SHM (структурны нагляд за жыццём), Power Quality Diagnosis і Smart Contracts. Базавая ўзнагароджанне ўсіх элементаў IoT-Mechanical, Electronics/Sensor платформы, Wireless і Wireless протоколы, Mobile to Electronics інтэграцыя, Mobile to Enterprise інтэграцыя, Data-Analytics і кантрольны план.  

IoT Technology Stacks: Devices, Gateways, Edge, Edge Cloud, Public Cloud, IoT Databases, Web & Mobile Applications for IoT, Centralized vs Decentralized IoT  IoT эканоміка для Business, кіравання прыладамі трэцяй часткі, кіравання рэжымам цяжкай эканомікі IoT M2M Wireless протоколы для IoT- WiFi, SigFox, LORA, LPWAN,  Zigbee/Zwave, Bluetooth, ANT+ : калі і дзе выкарыстоўваць які  Фундаменталы IoT Gateways- Risk, Management і Эканоміка Mobile/Desktop/Web app - для рэгістрацыі, набыцця дадзеных і кантролю –Доступная платформа набыцця дадзеных M2M для IoT—AWS IoT, Azure IoT, Google IoT The Communist Theory of Law (1955) Электронная версія кнігі   Платформы IoT прадпрыемстваў, такія як Microsoft Azure IoT суіты, AWS IoT, Google IoT, Siemens MindSphere  Smart Metering, Open Smart Grid Protocols (OSGP), ANSI C 2.18 Protocols, NIST Standard для HAN ( Home Area Network),  Home Plug Powerline Alliance, Security Standard для Smart Meter- IEC 62056 Distributed Ledge Technology (DLT) такія як Blockchain, HyperLedger і DAG (Direct Acyclic Graph) для смарт-контрактаў, P2P транзакцый, смарт-кар загрузкі  IoT для крытычнай інфраструктуры, такіх як DAM, Transformer, Sub-station, High Tension Wire

This instructor-led, live training in Беларусь (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.

In this instructor-led, live training in Беларусь, participants will learn about the various aspects of NB-IoT (also known as LTE Cat NB1) as they develop and deploy a sample NB-IoT based application. By the end of this training, participants will be able to:

• Identify the different components of NB-IoT and how to fit together to form an ecosystem.
• Understand and explain the security features built into NB-IoT devices.
• Develop a simple application to track NB-IoT devices.

Kura is an open source Java-based framework for IoT that enables access to underlying hardware, communication with M2M/IoT Integration Platforms, gateway management, and network configurations management. In this instructor-led, live training, participants will learn the fundamentals of Kura and how they can use it for their IoT solutions. By the end of this training, participants will be able to:

• Install and configure Kura
• Understand the fundamentals and core features of Kura
• Build, test, deploy, and troubleshoot IoT solutions with Kura

Audience

• Developers
• Programmers

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.