Lokale, instruktorierte Live-Schulungen zum Internet der Dinge (IoT) decken die Grundlagen des IoT ab und zeigen, wie verschiedene Arten von IoT-Systemen und -Lösungen für unterschiedliche Zielindustrien implementiert werden können Die Kurse sind entweder als technische Schulungen für Entwickler und Ingenieure oder als geschäftsorientierte Workshops für Manager und Unternehmer verfügbar In beiden Fällen ist die Berichterstattung interaktiv und praktisch mit praktischen Aktivitäten und Übungen, die das Verständnis, die Teilnahme und den Wert verbessern sollen IoT-Training ist als "Live-Training vor Ort" oder "Fern-Live-Training" verfügbar Onsite Live Training kann vor Ort bei Kunden durchgeführt werden Österreich oder in NobleProg Corporate Trainingszentren in Österreich Remote-Live-Training wird über einen interaktiven Remote-Desktop durchgeführt NobleProg Ihr lokaler Trainingsanbieter.
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Erfahrungsberichte
Ich mochte die Übungen.
Rehrig Pacific COmpany
Kurs: Introduction to IoT Using Arduino
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Lose Fahrweise
Kurs: NB-IoT for Developers
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Ann ist sehr sachkundig. Sie ist nach den Rückmeldungen ständig unterschiedlich. Es gibt viel Raum, um über die eigenen Erfahrungen der Teilnehmer zu diskutieren. Es war eine große Freude!.
Sjoerd Hulzinga - KPN p/a Bloomville
Kurs: IoT Security Architecture
Machine Translated
Es ist eins zu eins. Ich kann eine Menge Fragen stellen und auch den Händler bitten, zu wiederholen, wenn mir etwas nicht klar war.
Kurs: Insurtech: A Practical Introduction for Managers
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Gut vorbereitete Übungen, praktische Erfahrungen
dormakaba Schweiz AG
Kurs: Securing Cloud and IoT Applications
Machine Translated
Kennenlernen über AWS-Konto Gute Praxis und Einrichtung für eine Cloud-Verbindung Gute Struktur und sommerliche am Abend
dormakaba Schweiz AG
Kurs: Securing Cloud and IoT Applications
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Praktische Arbeit
James Gordon - Argent Energy
Kurs: Introduction to IoT Using Arduino
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Tiefes Wissen und Erfahrung des Faches
Hydro Quebec
Kurs: IoT Security
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Der Trainer war sehr kompetent und die Diskussion sehr interessant.
Hydro Quebec
Kurs: IoT Security
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Lose Fahrweise
Kurs: NB-IoT for Developers
Machine Translated
Es ist eins zu eins. Ich kann eine Menge Fragen stellen und auch den Händler bitten, zu wiederholen, wenn mir etwas nicht klar war.
Kurs: Insurtech: A Practical Introduction for Managers
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Internet of Things (IoT) Unterkategorien
IoT (Internet of Things) Kurspläne
Name des Kurses
Dauer
Überblick
Name des Kurses
Dauer
Überblick
21 Stunden
Überblick
Im Gegensatz zu anderen Technologien ist das IoT weitaus komplexer und umfasst nahezu alle Bereiche der Kernbranche Engineering-Mechanical, Electron , Firmware, Middleware, Cloud, Analytics und Mobile. Für jede seiner technischen Ebenen gibt es Aspekte der Wirtschaftlichkeit, der Normen, Vorschriften und des sich entwickelnden Standes der Technik. Dies ist für die erste Zeit ein bescheidener Kurs, der all diese kritischen Aspekte des IoT-Engineerings abdeckt.
Zusammenfassung
-
Ein Fortbildungsprogramm zum aktuellen Stand der Technik im Internet der Dinge
-
Schneidet über mehrere Technologiedomänen hinweg, um das Bewusstsein für ein IoT-System und seine Komponenten zu entwickeln und wie es Unternehmen und Organisationen helfen kann.
-
Live-Demo von Modell-IoT-Anwendungen zur Demonstration praktischer IoT-Bereitstellungen in verschiedenen Industriebereichen, z. B. Industrie-IoT, Smart Cities, Einzelhandel, Reisen und Transport sowie Anwendungsfälle für verbundene Geräte und Dinge
Zielgruppe
-
Manager, die in ihren jeweiligen Organisationen für Geschäfts- und Betriebsprozesse verantwortlich sind und wissen möchten, wie sie das Internet der Dinge nutzen können, um ihre Systeme und Prozesse effizienter zu gestalten.
-
Unternehmer und Investoren, die neue Projekte aufbauen und ein besseres Verständnis der IoT-Technologielandschaft entwickeln möchten, um zu sehen, wie sie diese auf effektive Weise nutzen können.
Die Schätzungen für das Internet der Dinge oder den IoT-Marktwert sind enorm, da das IoT per Definition eine integrierte und diffuse Schicht aus Geräten, Sensoren und Rechenleistung ist, die die gesamte Verbraucher-, Business-to-Business- und Regierungsbranche überlagert. Das Internet der Dinge wird für eine immer größere Anzahl von Verbindungen verantwortlich sein: 1,9 Milliarden Geräte heute und 9 Milliarden bis 2018. In diesem Jahr wird es in etwa der Anzahl von Smartphones, Smart-TVs, Tablets, tragbaren Computern und PCs entsprechen.
Im Consumer-Bereich sind bereits viele Produkte und Dienstleistungen in das Internet der Dinge übergegangen, einschließlich Küchen- und Haushaltsgeräten, Parkplätzen, RFID, Beleuchtungs- und Heizungsprodukten sowie einer Reihe von Anwendungen im industriellen Internet.
Die zugrunde liegenden Technologien des IoT sind jedoch nichts Neues, da M2M-Kommunikation seit der Geburt des Internets existierte. Was sich in den letzten Jahren jedoch geändert hat, ist die zunehmende Anzahl kostengünstiger Funktechnologien, die durch die überwältigende Anpassung von Smartphones und Tablets in jedem Haushalt hinzugefügt wurden. Das explosive Wachstum mobiler Geräte führte zu einer aktuellen Nachfrage nach IoT.
Aufgrund der unbegrenzten Möglichkeiten im IoT-Geschäft stieg eine große Anzahl kleiner und mittlerer Unternehmer in einen Zug des IoT-Goldrausches ein. Aufgrund des Aufkommens von Open Source-Elektronik und IoT-Plattform werden die Kosten für die Entwicklung des IoT-Systems und die weitere Verwaltung seiner umfangreichen Produktion zunehmend erschwinglicher. Bestehende Besitzer elektronischer Produkte stehen unter dem Druck, ihr Gerät in das Internet oder die mobile App zu integrieren.
Diese Schulung ist für einen Technologie- und Geschäftsüberblick über eine aufstrebende Branche gedacht, damit IoT-Enthusiasten / -Unternehmer die Grundlagen der IoT-Technologie und des Geschäfts erlernen können.
Kursziel
Hauptziel des Kurses ist es, neue technologische Optionen, Plattformen und Fallstudien der IoT-Implementierung in den Bereichen Heim- und Stadtautomation (Smart Homes und Städte), Industrielles Internet, Gesundheitswesen, Go vt., Mobile Cellular und anderen Bereichen vorzustellen.
-
Grundlegende Einführung in alle Elemente von IoT-Mechanical, Electron / Sensor-Plattform, Wireless- und Wireline-Protokollen, Integration von Mobile zu Electron Integration von Mobile zu Enterprise, Datenanalyse und Total Control Plane
-
M2M Wireless-Protokolle für IoT-WiFi, ZigBee / Zwave, Bluetooth, ANT +: Wann und wo welche verwenden?
-
Mobile / Desktop / Web-App - für Registrierung, Datenerfassung und Steuerung - Verfügbare M2M-Datenerfassungsplattform für IoT - Xively, Omega und NovoTech usw.
-
Sicherheitsprobleme und Sicherheitslösungen für das Internet der Dinge
-
Open Source / kommerzielle Elektronikplattform für IoT- Raspberry Pi , Arduino , ArmMbedLPC etc
-
Open-Source- / kommerzielle Enterprise-Cloud-Plattform für AWS-IoT-Apps, Azure IOT-, Watson-IOT-Cloud sowie andere kleinere IoT-Clouds
-
Betriebswirtschaftliche und technische Studien zu einigen der gängigen IoT-Geräte wie Heimautomation, Rauchmelder, Fahrzeuge, Militär, Heimgesundheit usw.
Zusammenfassung
-
Ein Fortbildungsprogramm zum aktuellen Stand der Technik im Internet der Dinge
-
Schneidet über mehrere Technologiedomänen hinweg, um das Bewusstsein für ein IoT-System und seine Komponenten zu entwickeln und wie es Unternehmen und Organisationen helfen kann.
-
Live-Demo von Modell-IoT-Anwendungen zur Demonstration praktischer IoT-Bereitstellungen in verschiedenen Industriebereichen, z. B. Industrie-IoT, Smart Cities, Einzelhandel, Reisen und Transport sowie Anwendungsfälle für verbundene Geräte und Dinge
Zielgruppe
-
Manager, die in ihren jeweiligen Organisationen für Geschäfts- und Betriebsprozesse verantwortlich sind und wissen möchten, wie sie das Internet der Dinge nutzen können, um ihre Systeme und Prozesse effizienter zu gestalten.
-
Unternehmer und Investoren, die neue Projekte aufbauen und ein besseres Verständnis der IoT-Technologielandschaft entwickeln möchten, um zu sehen, wie sie diese auf effektive Weise nutzen können.
Die Schätzungen für das Internet der Dinge oder den IoT-Marktwert sind enorm, da das IoT per Definition eine integrierte und diffuse Schicht aus Geräten, Sensoren und Rechenleistung ist, die die gesamte Verbraucher-, Business-to-Business- und Regierungsbranche überlagert. Das Internet der Dinge wird für eine immer größere Anzahl von Verbindungen verantwortlich sein: 1,9 Milliarden Geräte heute und 9 Milliarden bis 2018. In diesem Jahr wird es in etwa der Anzahl von Smartphones, Smart-TVs, Tablets, tragbaren Computern und PCs entsprechen.
Im Consumer-Bereich sind bereits viele Produkte und Dienstleistungen in das Internet der Dinge übergegangen, einschließlich Küchen- und Haushaltsgeräten, Parkplätzen, RFID, Beleuchtungs- und Heizungsprodukten sowie einer Reihe von Anwendungen im industriellen Internet.
Die zugrunde liegenden Technologien des IoT sind jedoch nichts Neues, da M2M-Kommunikation seit der Geburt des Internets existierte. Was sich in den letzten Jahren jedoch geändert hat, ist die zunehmende Anzahl kostengünstiger Funktechnologien, die durch die überwältigende Anpassung von Smartphones und Tablets in jedem Haushalt hinzugefügt wurden. Das explosive Wachstum mobiler Geräte führte zu einer aktuellen Nachfrage nach IoT.
Aufgrund der unbegrenzten Möglichkeiten im IoT-Geschäft stieg eine große Anzahl kleiner und mittlerer Unternehmer in einen Zug des IoT-Goldrausches ein. Aufgrund des Aufkommens von Open Source-Elektronik und IoT-Plattform werden die Kosten für die Entwicklung des IoT-Systems und die weitere Verwaltung seiner umfangreichen Produktion zunehmend erschwinglicher. Bestehende Besitzer elektronischer Produkte stehen unter dem Druck, ihr Gerät in das Internet oder die mobile App zu integrieren.
Diese Schulung ist für einen Technologie- und Geschäftsüberblick über eine aufstrebende Branche gedacht, damit IoT-Enthusiasten / -Unternehmer die Grundlagen der IoT-Technologie und des Geschäfts erlernen können.
Kursziel
Hauptziel des Kurses ist es, neue technologische Optionen, Plattformen und Fallstudien der IoT-Implementierung in den Bereichen Heim- und Stadtautomation (Smart Homes und Städte), Industrielles Internet, Gesundheitswesen, Go vt., Mobile Cellular und anderen Bereichen vorzustellen.
-
Grundlegende Einführung in alle Elemente von IoT-Mechanical, Electron / Sensor-Plattform, Wireless- und Wireline-Protokollen, Integration von Mobile zu Electron Integration von Mobile zu Enterprise, Datenanalyse und Total Control Plane
-
M2M Wireless-Protokolle für IoT-WiFi, ZigBee / Zwave, Bluetooth, ANT +: Wann und wo welche verwenden?
-
Mobile / Desktop / Web-App - für Registrierung, Datenerfassung und Steuerung - Verfügbare M2M-Datenerfassungsplattform für IoT - Xively, Omega und NovoTech usw.
-
Sicherheitsprobleme und Sicherheitslösungen für das Internet der Dinge
-
Open Source / kommerzielle Elektronikplattform für IoT- Raspberry Pi , Arduino , ArmMbedLPC etc
-
Open-Source- / kommerzielle Enterprise-Cloud-Plattform für AWS-IoT-Apps, Azure IOT-, Watson-IOT-Cloud sowie andere kleinere IoT-Clouds
-
Betriebswirtschaftliche und technische Studien zu einigen der gängigen IoT-Geräte wie Heimautomation, Rauchmelder, Fahrzeuge, Militär, Heimgesundheit usw.
35 Stunden
Überblick
Der technologische Fortschritt und die zunehmende Menge an Informationen verändern die Geschäftsabläufe in vielen Branchen, einschließlich der Regierung. Go vernment Datengenerierung und die digitale Archivierung Raten sind auf dem Vormarsch aufgrund des schnellen Wachstums von mobilen Geräten und Anwendungen, intelligente Sensoren und Geräte, Cloud - Computing - Lösungen und Bürger gerichtete Portale. Da digitale Informationen immer komplexer werden, werden auch Informationsmanagement, -verarbeitung, -speicherung, -sicherheit und -disposition immer komplexer. Neue Erfassungs-, Such-, Ermittlungs- und Analysetools helfen Unternehmen dabei, Einblicke in ihre unstrukturierten Daten zu gewinnen. Der Regierungsmarkt befindet sich an einem Wendepunkt und erkennt, dass Informationen ein strategischer Vorteil sind. Die Regierung muss sowohl strukturierte als auch unstrukturierte Informationen schützen, nutzen und analysieren, um die Missionsanforderungen besser bedienen und erfüllen zu können. Während die Regierungschefs danach streben, datengesteuerte Organisationen zu entwickeln, um die Mission erfolgreich zu erfüllen, legen sie den Grundstein, um Abhängigkeiten zwischen Ereignissen, Personen, Prozessen und Informationen zu korrelieren.
Hochwertige Regierungslösungen werden aus einem Mashup der disruptivsten Technologien erstellt:
- Mobile Geräte und Anwendungen
- Cloud-Services
- Social Business Technologien und Networking
- Big Data und Analytics
IDC prognostiziert, dass die IT-Branche bis 2020 5 Billionen US-Dollar erreichen wird, rund 1,7 Billionen US-Dollar mehr als heute, und dass 80% des Branchenwachstums von diesen Technologien der 3. Plattform getrieben werden. Langfristig werden diese Technologien Schlüsselinstrumente sein, um mit der Komplexität der zunehmenden digitalen Information umzugehen. Big Data ist eine der intelligenten Branchenlösungen und ermöglicht es der Regierung, bessere Entscheidungen zu treffen, indem sie Maßnahmen auf der Grundlage von Mustern ergreift, die durch die Analyse großer Datenmengen in Bezug auf Daten, die nicht miteinander zusammenhängen, strukturiert und unstrukturiert aufgedeckt werden.
Um diese Leistungen zu erbringen, müssen jedoch nicht nur riesige Datenmengen angesammelt werden. „Um das Volumen von Big Data erfassen, sind modernste Tools und Technologien erforderlich, mit denen sich nützliches Wissen aus einem riesigen und vielfältigen Informationsfluss analysieren und extrahieren lässt“, so Tom Kalil und Fen Zhao vom Büro für Wissenschafts- und Technologiepolitik des Weißen Hauses schrieb in einem Beitrag im OSTP-Blog.
Das Weiße Haus hat 2012 mit der Nationalen Big Data Forschungs- und Entwicklungsinitiative einen Schritt getan, um Agenturen bei der Suche nach diesen Technologien zu unterstützen. Die Initiative umfasste mehr als 200 Millionen US-Dollar, um die Explosion von Big Data und die dazu erforderlichen Tools optimal zu nutzen .
Die Herausforderungen, die Big Data bringt, sind fast so gewaltig wie sein Versprechen ermutigend. Effizientes Speichern von Daten ist eine dieser Herausforderungen. Wie immer sind die Budgets eng, daher müssen Agenturen den Preis für Speicherplatz pro Megabyte minimieren und den Zugriff auf die Daten so gering wie möglich halten, damit die Benutzer sie erhalten können, wann und wie sie sie benötigen. Das Sichern großer Datenmengen erhöht die Herausforderung.
Eine weitere große Herausforderung besteht darin, die Daten effektiv zu analysieren. Viele Agenturen setzen kommerzielle Tools ein, mit denen sie die Datenberge durchsuchen und Trends erkennen können, mit denen sie effizienter arbeiten können. (Eine kürzlich von MeriTalk durchgeführte Studie ergab, dass IT-Führungskräfte des Bundes der Ansicht sind, dass Big Data Agenturen dabei helfen könnte, mehr als 500 Milliarden US-Dollar zu sparen und gleichzeitig die Missionsziele zu erreichen.)
Mit speziell entwickelten Big Data Tools können Agenturen auch auf die Notwendigkeit eingehen, ihre Daten zu analysieren. Beispielsweise hat die Computational Data Analytics Group des Oak Ridge National Laboratory das Piranha-Datenanalysesystem anderen Agenturen zur Verfügung gestellt. Das System hat medizinischen Forschern geholfen, eine Verbindung zu finden, die Ärzte auf Aortenaneurysmen aufmerksam machen kann, bevor sie zuschlagen. Es wird auch für alltäglichere Aufgaben verwendet, z. B. zum Durchsuchen von Lebensläufen, um Bewerber mit Einstellungsmanagern in Verbindung zu bringen.
Hochwertige Regierungslösungen werden aus einem Mashup der disruptivsten Technologien erstellt:
- Mobile Geräte und Anwendungen
- Cloud-Services
- Social Business Technologien und Networking
- Big Data und Analytics
IDC prognostiziert, dass die IT-Branche bis 2020 5 Billionen US-Dollar erreichen wird, rund 1,7 Billionen US-Dollar mehr als heute, und dass 80% des Branchenwachstums von diesen Technologien der 3. Plattform getrieben werden. Langfristig werden diese Technologien Schlüsselinstrumente sein, um mit der Komplexität der zunehmenden digitalen Information umzugehen. Big Data ist eine der intelligenten Branchenlösungen und ermöglicht es der Regierung, bessere Entscheidungen zu treffen, indem sie Maßnahmen auf der Grundlage von Mustern ergreift, die durch die Analyse großer Datenmengen in Bezug auf Daten, die nicht miteinander zusammenhängen, strukturiert und unstrukturiert aufgedeckt werden.
Um diese Leistungen zu erbringen, müssen jedoch nicht nur riesige Datenmengen angesammelt werden. „Um das Volumen von Big Data erfassen, sind modernste Tools und Technologien erforderlich, mit denen sich nützliches Wissen aus einem riesigen und vielfältigen Informationsfluss analysieren und extrahieren lässt“, so Tom Kalil und Fen Zhao vom Büro für Wissenschafts- und Technologiepolitik des Weißen Hauses schrieb in einem Beitrag im OSTP-Blog.
Das Weiße Haus hat 2012 mit der Nationalen Big Data Forschungs- und Entwicklungsinitiative einen Schritt getan, um Agenturen bei der Suche nach diesen Technologien zu unterstützen. Die Initiative umfasste mehr als 200 Millionen US-Dollar, um die Explosion von Big Data und die dazu erforderlichen Tools optimal zu nutzen .
Die Herausforderungen, die Big Data bringt, sind fast so gewaltig wie sein Versprechen ermutigend. Effizientes Speichern von Daten ist eine dieser Herausforderungen. Wie immer sind die Budgets eng, daher müssen Agenturen den Preis für Speicherplatz pro Megabyte minimieren und den Zugriff auf die Daten so gering wie möglich halten, damit die Benutzer sie erhalten können, wann und wie sie sie benötigen. Das Sichern großer Datenmengen erhöht die Herausforderung.
Eine weitere große Herausforderung besteht darin, die Daten effektiv zu analysieren. Viele Agenturen setzen kommerzielle Tools ein, mit denen sie die Datenberge durchsuchen und Trends erkennen können, mit denen sie effizienter arbeiten können. (Eine kürzlich von MeriTalk durchgeführte Studie ergab, dass IT-Führungskräfte des Bundes der Ansicht sind, dass Big Data Agenturen dabei helfen könnte, mehr als 500 Milliarden US-Dollar zu sparen und gleichzeitig die Missionsziele zu erreichen.)
Mit speziell entwickelten Big Data Tools können Agenturen auch auf die Notwendigkeit eingehen, ihre Daten zu analysieren. Beispielsweise hat die Computational Data Analytics Group des Oak Ridge National Laboratory das Piranha-Datenanalysesystem anderen Agenturen zur Verfügung gestellt. Das System hat medizinischen Forschern geholfen, eine Verbindung zu finden, die Ärzte auf Aortenaneurysmen aufmerksam machen kann, bevor sie zuschlagen. Es wird auch für alltäglichere Aufgaben verwendet, z. B. zum Durchsuchen von Lebensläufen, um Bewerber mit Einstellungsmanagern in Verbindung zu bringen.
14 Stunden
Überblick
Machine-to-Machine (M2M) refers to direct automated communication between networked mechanical or electronic devices.
14 Stunden
Überblick
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
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
21 Stunden
Überblick
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
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
14 Stunden
Überblick
In this instructor-led, live training in Österreich, 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.
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.
14 Stunden
Überblick
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.
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.
21 Stunden
Überblick
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
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
21 Stunden
Überblick
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)
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)
14 Stunden
Überblick
In this instructor-led, live training in Österreich, 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.
14 Stunden
Überblick
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.
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.
14 Stunden
Überblick
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.
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.
14 Stunden
Überblick
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.
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.
14 Stunden
Überblick
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.
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.
21 Stunden
Überblick
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.
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.
14 Stunden
Überblick
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.
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.
14 Stunden
Überblick
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, 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.
14 Stunden
Überblick
In this instructor-led, live training in Österreich, 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.
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.
7 Stunden
Überblick
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.
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.
21 Stunden
Überblick
This instructor-led, live training in Österreich (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.
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.
35 Stunden
Überblick
This instructor-led, live training in Österreich (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.
10 Stunden
Überblick
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
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
10 Stunden
Überblick
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
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
22 Stunden
Überblick
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
- 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
7 Stunden
Überblick
This instructor-led, live training in Österreich (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.
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.
7 Stunden
Überblick
In this instructor-led, live training in Österreich, 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.
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.
21 Stunden
Überblick
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.
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.
35 Stunden
Überblick
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.
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.
16 Stunden
Überblick
Introduction
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 Faculty members, it is of paramount interest that they should have an overall background of evolving IoT standards. To apply for grants in IoT areas, faculties must be exposed to new research directions where they can fit their existing skills. They also need to be aware of overall idea of funding areas in IoT. This course will address those evolving areas where they can attract more research and industrial grants in IoT.
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 faculties to write more project proposals in IoT domain
- 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
- Introduction to latest areas of IoT which needs more research both from structural and engineering point of view
Overview
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.
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.
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.
Course Objective
Main objective of this course is to introduce emerging technological options, platforms and case studies of IoT implementation in emerging verticals ( smart cities, smart manufacturing, agriculture, public safety etc) and horizontals ( edge computing, PaaS platforms, 5G-IoT etc.) for the University researchers.
- 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
- M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one?
- Edge Platforms for IoT
- Known PaaS clouds for IoT- Azure, Google and AWS
- Security issues and security solutions for IoT
- Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
- Emerging research areas in IoT edge computation, 5G-IoT and many other horizontals.
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 Faculty members, it is of paramount interest that they should have an overall background of evolving IoT standards. To apply for grants in IoT areas, faculties must be exposed to new research directions where they can fit their existing skills. They also need to be aware of overall idea of funding areas in IoT. This course will address those evolving areas where they can attract more research and industrial grants in IoT.
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 faculties to write more project proposals in IoT domain
- 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
- Introduction to latest areas of IoT which needs more research both from structural and engineering point of view
Overview
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.
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.
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.
Course Objective
Main objective of this course is to introduce emerging technological options, platforms and case studies of IoT implementation in emerging verticals ( smart cities, smart manufacturing, agriculture, public safety etc) and horizontals ( edge computing, PaaS platforms, 5G-IoT etc.) for the University researchers.
- 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
- M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one?
- Edge Platforms for IoT
- Known PaaS clouds for IoT- Azure, Google and AWS
- Security issues and security solutions for IoT
- Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
- Emerging research areas in IoT edge computation, 5G-IoT and many other horizontals.
24 Stunden
Überblick
Introduction
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
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
Zukünftige Internet of Things (IoT) Kurse
17-08-2021 09:30
14 hours
30-08-2021 09:30
35 hours
30-08-2021 09:30
35 hours
22-09-2021 09:30
21 hours
23-09-2021 09:30
14 hours
Andere Länder
Consulting
IoT Schulung, Internet of Things (IoT) boot camp, Internet of Things Abendkurse, IoT (Internet of Things) Wochenendkurse, IoT Kurs, IoT (Internet of Things) Training, IoT (Internet of Things) Seminar, IoT Seminare, Internet of Things Privatkurs, IoT Coaching, IoT (Internet of Things) Lehrer
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