Szkolenia Internet of Things (IoT)

W przeciwieństwie do innych technologii Internet Rzeczy jest o wiele bardziej złożony i obejmuje prawie wszystkie gałęzie inżynierii mechanicznej, Electron , oprogramowania układowego, oprogramowania pośredniego, chmury, analizy i urządzeń mobilnych. Dla każdej warstwy inżynierskiej istnieją aspekty ekonomiczne, standardy, przepisy i ewoluujący stan techniki. Jest to pierwszy raz, oferowany jest skromny kurs obejmujący wszystkie te krytyczne aspekty inżynierii IoT.

streszczenie

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Zaawansowany program szkoleniowy obejmujący aktualny stan wiedzy w zakresie Internetu przedmiotów

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Obejmuje wiele dziedzin technologii, aby zwiększyć świadomość na temat systemu IoT i jego komponentów oraz tego, w jaki sposób może on pomóc firmom i organizacjom.

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Demonstracja na żywo modelowych aplikacji IoT w celu zaprezentowania praktycznych wdrożeń IoT w różnych domenach branżowych, takich jak IoT w przemyśle, inteligentne miasta, handel detaliczny, podróże i transport oraz przypadki użycia wokół podłączonych urządzeń i rzeczy

Grupa docelowa

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Menedżerowie odpowiedzialni za procesy biznesowe i operacyjne w swoich organizacjach i chcą wiedzieć, jak wykorzystać Internet Rzeczy, aby zwiększyć wydajność swoich systemów i procesów.

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Przedsiębiorcy i inwestorzy, którzy chcą budować nowe przedsięwzięcia i chcą lepiej zrozumieć krajobraz technologii IoT, aby przekonać się, w jaki sposób mogą go skutecznie wykorzystać.

Szacunki dotyczące wartości Internetu Rzeczy lub Internetu Rzeczy są ogromne, ponieważ z definicji IoT jest zintegrowaną i rozproszoną warstwą urządzeń, czujników i mocy obliczeniowej, która nakłada się na cały przemysł konsumencki, business-to-business i rządowy. Internet Rzeczy będzie obejmować coraz większą liczbę połączeń: 1,9 miliarda urządzeń dzisiaj i 9 miliardów do 2018 r. W tym roku będzie mniej więcej równa liczbie smartfonów, smartfonów, tabletów, komputerów do noszenia i komputerów razem.

W przestrzeni konsumenckiej wiele produktów i usług przeszło już do Internetu Rzeczy, w tym urządzenia kuchenne i AGD, parking, RFID, produkty oświetleniowe i grzewcze oraz szereg aplikacji w przemysłowym Internecie.

Jednak podstawowe technologie Internetu Rzeczy nie są niczym nowym, ponieważ komunikacja M2M istniała od narodzin Internetu. Jednak w ciągu ostatnich kilku lat zmieniło się pojawienie się wielu niedrogich technologii bezprzewodowych dodanych przez przytłaczającą adaptację smartfonów i tabletów w każdym domu. Gwałtowny rozwój urządzeń mobilnych doprowadził do obecnego zapotrzebowania na Internet Rzeczy.

Ze względu na nieograniczone możliwości w branży IoT duża liczba małych i średnich przedsiębiorców wskoczyła na modę gorączki złota IoT. Również ze względu na pojawienie się elektroniki open source i platformy IoT, koszty rozwoju systemu IoT i dalszego zarządzania jego sporą produkcją są coraz bardziej przystępne. Obecni właściciele produktów elektronicznych odczuwają presję, aby zintegrować swoje urządzenie z Internetem lub aplikacją mobilną.

Szkolenie jest przeznaczone do przeglądu technologii i biznesu rozwijającej się branży, aby entuzjaści / przedsiębiorcy Internetu Rzeczy mogli zapoznać się z podstawami technologii Internetu i biznesu.

Cel kursu

Głównym celem kursu jest wprowadzenie wyłaniających się opcji technologicznych, platform i studiów przypadków wdrażania Internetu Rzeczy w automatyce domowej i miejskiej (inteligentne domy i miasta), Internet przemysłowy, opieka zdrowotna, Go vt., Mobile Cellular i inne obszary.

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Podstawowe wprowadzenie wszystkich elementów IoT-Mechanical, Electron / platformy czujników, protokołów bezprzewodowych i przewodowych, integracji urządzeń mobilnych z Electron integracji urządzeń mobilnych z przedsiębiorstwami, analizy danych i płaszczyzny kontroli całkowitej

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Bezprzewodowe protokoły M2M dla IoT- WiFi, Zigbee / Zwave, Bluetooth, ANT +: Kiedy i gdzie z których korzystać?

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Aplikacja mobilna / stacjonarna / internetowa - do rejestracji, akwizycji i kontroli danych - Dostępna platforma akwizycji danych M2M dla IoT - Xively, Omega i NovoTech itp.

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Kwestie bezpieczeństwa i rozwiązania bezpieczeństwa dla Internetu Rzeczy

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Platforma elektroniki komercyjnej typu open source dla IoT - Raspberry Pi , Arduino , ArmMbedLPC itp

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Platforma chmurowa typu open source / komercyjna dla przedsiębiorstw AWS-IoT, Azure -IOT, chmura Watson-IOT oraz inne mniejsze chmury IoT

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Studia biznesu i technologii niektórych popularnych urządzeń IoT, takich jak automatyka domowa, alarm przeciwpożarowy, pojazdy, wojsko, zdrowie w domu itp.

Postępy technologiczne i rosnąca ilość informacji zmieniają sposób prowadzenia biznesu w wielu branżach, w tym w sektorze rządowym. Go vernment generowanie danych i archiwizacji cyfrowych stopy rosną w związku z dynamicznym rozwojem urządzeń i aplikacji mobilnych, inteligentnych czujników i urządzeń, rozwiązań cloud computing i portali obywatelskich-zachodu. Wraz z rozszerzaniem się i coraz bardziej złożonymi informacjami cyfrowymi zarządzanie informacjami, przetwarzanie, przechowywanie, bezpieczeństwo i dyspozycja stają się również bardziej złożone. Nowe narzędzia do przechwytywania, wyszukiwania, wykrywania i analizy pomagają organizacjom uzyskać wgląd w dane nieustrukturyzowane. Rynek rządowy znajduje się w punkcie zwrotnym, zdając sobie sprawę, że informacje są strategicznym atutem, a rząd musi chronić, wykorzystywać i analizować zarówno informacje strukturalne, jak i niestrukturalne, aby lepiej służyć i spełniać wymagania misji. W miarę jak przywódcy rządowi dążą do ewolucji organizacji opartych na danych, aby skutecznie realizować misję, kładą podwaliny pod korelację zależności między zdarzeniami, ludźmi, procesami i informacjami.

Rozwiązania rządowe o wysokiej wartości zostaną stworzone z połączenia najbardziej przełomowych technologii:

- Urządzenia mobilne i aplikacje
- Usługi w chmurze
- Technologie biznesu społecznego i sieci
- Big Data i analityka

IDC przewiduje, że do 2020 r. Branża IT osiągnie 5 bilionów dolarów, czyli o 1,7 biliona dolarów więcej niż obecnie, a 80% wzrostu branży będzie napędzane przez te technologie trzeciej platformy. W dłuższej perspektywie technologie te będą kluczowymi narzędziami do radzenia sobie ze złożonością zwiększonych informacji cyfrowych. Big Data jest jednym z inteligentnych rozwiązań branżowych i umożliwia rządowi podejmowanie lepszych decyzji poprzez podejmowanie działań opartych na wzorcach ujawnionych przez analizę dużych ilości danych - powiązanych i niepowiązanych, uporządkowanych i nieustrukturyzowanych.

Jednak osiągnięcie tych wyczynów wymaga znacznie więcej niż zwykłego gromadzenia ogromnych ilości danych. „Sens tych Big Data wymaga najnowszych narzędzi i technologii, które mogą analizować i wyodrębniać użyteczną wiedzę z ogromnych i różnorodnych strumieni informacji”, Tom Kalil i Fen Zhao z Biura Białego Domu Nauki i Technologii napisał w poście na blogu OSTP.

Biały Dom zrobił krok w kierunku pomocy agencjom w znalezieniu tych technologii, gdy w 2012 r. Ustanowił Krajową Inicjatywę Badań i Rozwoju Big Data . Inicjatywa obejmowała ponad 200 mln USD, aby jak najlepiej wykorzystać eksplozję Big Data i narzędzia potrzebne do jej analizy .

Wyzwania, które stawiają Big Data są tak samo zniechęcające, jak obiecująca jest ich obietnica. Skuteczne przechowywanie danych jest jednym z tych wyzwań. Jak zwykle budżety są napięte, więc agencje muszą zminimalizować cenę pamięci masowej na megabajt i zachować łatwy dostęp do danych, aby użytkownicy mogli je uzyskać, kiedy tego chcą i jak tego potrzebują. Tworzenie kopii zapasowych ogromnych ilości danych zwiększa wyzwanie.

Skuteczna analiza danych to kolejne duże wyzwanie. Wiele agencji stosuje narzędzia komercyjne, które umożliwiają im przesiewanie danych, dostrzegając trendy, które mogą pomóc im działać bardziej efektywnie. (Niedawne badanie przeprowadzone przez MeriTalk wykazało, że federalni dyrektorzy IT uważają, że Big Data może pomóc agencjom zaoszczędzić ponad 500 miliardów dolarów, a jednocześnie zrealizować cele misji).

Opracowane na zamówienie narzędzia Big Data pozwalają również agencjom zająć się analizą danych. Na przykład grupa Computational Data Analytics z National Laboratory w Oak Ridge udostępniła system analizy danych Piranha innym agencjom. System pomógł badaczom medycznym znaleźć link, który może ostrzec lekarzy o tętniakach aorty przed uderzeniem. Jest również używany do bardziej przyziemnych zadań, takich jak przeglądanie CV w celu połączenia kandydatów do pracy z menedżerami ds. Zatrudnienia.

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

Internet of Things (IoT) jest koncepcją połączonej sieci obiektów (fizycznych urządzeń) - pojazdów, budynków, telefonów komórkowych itp. które poprzez wbudowaną elektronikę, oprogramowanie, czujniki oraz karty sieciowe, mogą komunikować się z sobą, wymieniać i gromadzić dane. IoT umożliwia wykrywanie i zdalne sterowanie urządzeniami za pomocą istniejącej infrastruktury sieciowej. Tworzy możliwość bardziej bezpośredniej integracji świata fizycznego z systemami komputerowymi, której wynikiem może być np. zwiększenie bezpieczeństwa, optymalizacja rozłożenia natęrzenia ruchu drogowego, inteligentne domy oraz mnóstwo innych wymiernych korzyści biznesowych.

Szkolenie ma na celu przekazanie uczestnikom wiedzy o IoT, trendów rozwoju oraz pokazać jakie oraz jak gromadzić dane i do czego można je później wykorzystać.

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

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

In this instructor-led, live training in w Polsce, 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

- Give introduction of all the technology stacks, data model and vulnerability of IoT
- Drawing the layers of vulnerability at each stack and between the stack
- Vulnerability from vendors and third party devices
- 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 w Polsce, 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) 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. Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects.

In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.

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

- Understand the fundamentals of IoT architecture
- Install and configure Azure IoT Suite
- Learn the benefits of using Azure in programming IoT systems
- Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
- Build, test, deploy, and troubleshoot an IoT system using Azure

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.

In this instructor-led, live training in w Polsce, 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.

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.

Blockchain is a decentralized database system which stores data in ledgers distributed across many nodes.

Using blockchain technology with IoT allows accessibility and supply of IoT data without the need for central control. This integration opens up a suite of new possibilities and multiple benefits for business organizations.

In this instructor-led, live training (remote), participants will learn how blockchain and IoT can work together as they step through a series of hands-on live-lab exercises.

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

- Understand how blockchain and IoT can work together to provide solutions for their organization
- Explore various tools and resources to implement a blockchain-based IoT solution for their organization

Audience

- Developers
- Managers

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.

This instructor-led, live training in w Polsce (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 w Polsce (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.

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. 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.

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 for 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 w Polsce (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 w Polsce, 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.

ThingsBoard is an open source IoT platform that offers device management, data collection, processing and visualization for your IoT solution.

In this instructor-led, live training, participants will learn how to integrate ThingsBoard into their IoT solutions.

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

- Install and configure ThingsBoard
- Understand the fundamentals of ThingsBoard features and architecture
- Build IoT applications with ThingsBoard
- Integrate ThingsBoard with Kafka for telemetry device data routing
- Integrate ThingsBoard with Apache Spark for data aggregation from multiple devices

Audience

- Software engineers
- Hardware engineers
- Developers

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.

This instructor-led, live training in w Polsce (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.