Local, instructorled live Internet of Things (IoT) training courses cover the fundamentals of IoT and demonstrate how to implement different types of IoT systems and solutions aimed at different target industries Courses are available as either technical trainings for developers and engineers or as businessoriented workshops for managers and entrepreneurs In both cases, the coverage is interative and practical with handson activities and exercises designed to enhance understanding, participation and value
IoT training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Norge or in NobleProg corporate training centers in Norge Remote live training is carried out by way of an interactive, remote desktop
NobleProg Your Local Training Provider .
Machine Translated
Testimonials
Jeg likte øvelsene
Rehrig Pacific COmpany
Kurs: Introduction to IoT Using Arduino
Machine Translated
Løs måte å kjøre på
Kurs: NB-IoT for Developers
Machine Translated
Ann er veldig kunnskapsrik om emnet. Hun varierer stadig tempo i henhold til tilbakemeldingene. Det er mye rom for å diskutere deltakerens egne erfaringer. Det var en stor glede !.
Sjoerd Hulzinga - KPN p/a Bloomville
Kurs: IoT Security Architecture
Machine Translated
Det er en på en. Jeg kan stille mye spørsmål, og også be læreren om å gjenta når jeg ikke var klar over noen ting.
Kurs: Insurtech: A Practical Introduction for Managers
Machine Translated
Godt forberedte øvelser, praktisk erfaring
dormakaba Schweiz AG
Kurs: Securing Cloud and IoT Applications
Machine Translated
å få kunnskap om AWS-konto god praksis og oppsett for en god skyliforbindelsesstruktur og sommerlig om kvelden
dormakaba Schweiz AG
Kurs: Securing Cloud and IoT Applications
Machine Translated
Praktisk jobb
James Gordon - Argent Energy
Kurs: Introduction to IoT Using Arduino
Machine Translated
Dyp kunnskap og erfaring med faget
Hydro Quebec
Kurs: IoT Security
Machine Translated
Treneren var veldig kunnskapsrik, og diskusjonen veldig interessant.
Hydro Quebec
Kurs: IoT Security
Machine Translated
Level of expertise from the trainer Use case examples
Pierre Maillot - Bosch
Kurs: IoT Security Architecture
His deep knowledge of the IoT topic.
Bosch
Kurs: IoT Security Architecture
Ron's experience on how to successfully implement IoT projects and the deep technical subjects covered.
Bosch
Kurs: IoT Security Architecture
relevance of content to our I4.0 business environment
Bosch
Kurs: IoT Security Architecture
Very knowledgeable trainer, was able to adjust to audience knowledge, excellent industry experience and ability to relate to audience needs Excellent content preparation , tailored to needs discussed beforehand. Good supplement reading materials prepared by trainer
Oliver Steinig - Bosch
Kurs: IoT Security Architecture
Ron was very mindful of his audience and addressed everyone's questions. He checked his audience for clarity and was willing to spend the time to review a topic until everyone understood the topic. He gauged the audience for energy levels and suggested a break when he saw that the energy from the group was waning. This was much appreciated.
Bosch
Kurs: IoT Security Architecture
The real life examples Ron gave.
Bosch
Kurs: IoT Security Architecture
He had a very good manner,
Premier Partnership
Kurs: IoT Fundamentals and Frontiers : For Managers, CXO, VP, Investors and Entrepreneurs
Løs måte å kjøre på
Kurs: NB-IoT for Developers
Machine Translated
Det er en på en. Jeg kan stille mye spørsmål, og også be læreren om å gjenta når jeg ikke var klar over noen ting.
Kurs: Insurtech: A Practical Introduction for Managers
Machine Translated
IoT (Internet of Things) Underkategorier
Internet of Things Kursplaner
Kursnavn
Varighet
Oversikt
Kursnavn
Varighet
Oversikt
35 timer
Oversikt
Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.
High-value government solutions will be created from a mashup of the most disruptive technologies:
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.
But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.
The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.
The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.
Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).
Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
High-value government solutions will be created from a mashup of the most disruptive technologies:
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.
But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.
The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.
The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.
Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).
Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
21 timer
Oversikt
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 timer
Oversikt
Nginx er populært for bruk som webserver. Andre bruksområder inkluderer å kjøre Nginx som en lastbalanser og fremadrettet proxy, spesielt nyttig i et IoT-oppsett. I denne instruktørledede liveopplæringen vil deltakerne lære å maksimere ytelsen til Nginx når de konfigurerer, konfigurerer, overvåker og feilsøker Nginx for å håndtere forskjellige former for HTTP / TCP-trafikk. Temaene dekker inkluderer hvordan du konfigurerer de viktigste parameterne i Nginx , OS og en virtuell maskin for å oppnå maksimal verdi ut av Nginx .
Publikum
- Utviklere
- Systemadministratorer
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Publikum
- Utviklere
- Systemadministratorer
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
7 timer
Oversikt
NB-IoT gjør at IoT-enheter kan operere over transportnettverk som GSM og "vaktbånd" mellom LTE-kanaler. NB-IoT trenger bare 200 kHz båndbredde og kan effektivt koble til et stort antall sluttpunktenheter (opptil 50 000 per NB-IoT nettverkscelle). Dens lave strømbehov gjør den ideell for bruk i små, ukompliserte IoT-dingser som smart parkering, verktøy og bærbare apparater.
De fleste av dagens IoT-tilkoblinger er industrielle. Industrielle IoT (IIoT) -forbindelser krever LPWA-teknologier (Low Power Wide Area) for å gi tilkoblings-, deknings- og abonnementsfunksjoner for applikasjoner med lav båndbredde. Selv om disse kravene kan betjenes av eksisterende mobilnettverk, er det ikke sikkert at slike nettverk er ideelle. NB-IoT (Narrow Band IoT) -teknologi tilbyr en lovende løsning.
I denne instruktørledede liveopplæringen vil deltakerne lære om de forskjellige aspektene ved NB-IoT (også kjent som LTE Cat NB1) når de utvikler og distribuerer et utvalg NB-IoT basert program.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Identifiser de forskjellige komponentene i NB-IoT og hvordan du kan passe sammen for å danne et økosystem.
- Forstå og forklare sikkerhetsfunksjonene som er innebygd i NB-IoT enheter.
- Utvikle en enkel applikasjon for å spore NB-IoT enheter.
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
De fleste av dagens IoT-tilkoblinger er industrielle. Industrielle IoT (IIoT) -forbindelser krever LPWA-teknologier (Low Power Wide Area) for å gi tilkoblings-, deknings- og abonnementsfunksjoner for applikasjoner med lav båndbredde. Selv om disse kravene kan betjenes av eksisterende mobilnettverk, er det ikke sikkert at slike nettverk er ideelle. NB-IoT (Narrow Band IoT) -teknologi tilbyr en lovende løsning.
I denne instruktørledede liveopplæringen vil deltakerne lære om de forskjellige aspektene ved NB-IoT (også kjent som LTE Cat NB1) når de utvikler og distribuerer et utvalg NB-IoT basert program.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Identifiser de forskjellige komponentene i NB-IoT og hvordan du kan passe sammen for å danne et økosystem.
- Forstå og forklare sikkerhetsfunksjonene som er innebygd i NB-IoT enheter.
- Utvikle en enkel applikasjon for å spore NB-IoT enheter.
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
14 timer
Oversikt
Maskin-til-maskin (M2M) refererer til direkte automatisert kommunikasjon mellom mekaniske eller elektroniske enheter i nettverk.
21 timer
Oversikt
Kura er et Java basert rammeverk med åpen kildekode for IoT som gir tilgang til underliggende maskinvare, kommunikasjon med M2M / IoT integrasjonsplattformer, gateway management og nettverkskonfigurasjonsadministrasjon.
I denne instruktørledede liveopplæringen vil deltakerne lære grunnleggende om Kura og hvordan de kan bruke den til sine IoT-løsninger.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Kura
- Forstå de grunnleggende og kjernefunksjonene til Kura
- Bygg, test, distribuer og feilsøk IoT-løsninger med Kura
Publikum
- Utviklere
- programmerere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede liveopplæringen vil deltakerne lære grunnleggende om Kura og hvordan de kan bruke den til sine IoT-løsninger.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Kura
- Forstå de grunnleggende og kjernefunksjonene til Kura
- Bygg, test, distribuer og feilsøk IoT-løsninger med Kura
Publikum
- Utviklere
- programmerere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
21 timer
Oversikt
Begrenset av tradisjonelle tale- og datainntekter, er CSP (leverandører av kommunikasjonstjenester)
på jakt etter ny inntektskilde fra IoT-tjenester levert til hjem, kontor og kontaktannonser. Som en
resultat, IoT blir en del av den nye OSS- og BSS-modellen.
12 moduler, 2 timer hver 24 timer, 3 dagers kurs
Sammendrag
- Casestudier om vellykket integrasjon av IoT-tjenester fra Telcos
- Integrasjon av IoT-tjenester med OSS
- Ny type lokalt IoT data / service / tilkoblingstilbud
- Vertikalt IoT -totalt servicesalg vs IoT mellomvaresalg.
- Integrering av IoT-salg i BSS
Målgruppe
- Ledere som er ansvarlige for forretnings- og operasjonsprosesser innen deres respektive ORGANISASJON i telekom / CSP-er
Varighet 3 dager (8 timer / dag)
på jakt etter ny inntektskilde fra IoT-tjenester levert til hjem, kontor og kontaktannonser. Som en
resultat, IoT blir en del av den nye OSS- og BSS-modellen.
12 moduler, 2 timer hver 24 timer, 3 dagers kurs
Sammendrag
- Casestudier om vellykket integrasjon av IoT-tjenester fra Telcos
- Integrasjon av IoT-tjenester med OSS
- Ny type lokalt IoT data / service / tilkoblingstilbud
- Vertikalt IoT -totalt servicesalg vs IoT mellomvaresalg.
- Integrering av IoT-salg i BSS
Målgruppe
- Ledere som er ansvarlige for forretnings- og operasjonsprosesser innen deres respektive ORGANISASJON i telekom / CSP-er
Varighet 3 dager (8 timer / dag)
14 timer
Oversikt
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. One of the major hurdles in deployment of IoT solutions is security. Since IoT technologies involves a broad range of devices, designing IoT security is critical to a successful IoT deployment.
In this instructor-led, live training, 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.
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 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.
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 timer
Oversikt
IoT sikkerhet 101:
Dette kurset skisserer den moderne teknikken som er gjeldende for IoT-sikkerhet og hvordan dette emnet er
utvikling. Det er beregnet på at IoT-utviklere, ledere skal ta strategiske beslutninger for sitt IoT-produkt
både som leverandør og som kunde.
Kursstruktur er 24 timer, 12 moduler, 12x2. Hver modul 2 timer.
Dette kurset skisserer den moderne teknikken som er gjeldende for IoT-sikkerhet og hvordan dette emnet er
utvikling. Det er beregnet på at IoT-utviklere, ledere skal ta strategiske beslutninger for sitt IoT-produkt
både som leverandør og som kunde.
Kursstruktur er 24 timer, 12 moduler, 12x2. Hver modul 2 timer.
14 timer
Oversikt
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.
14 timer
Oversikt
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.
22 timer
Oversikt
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
14 timer
Oversikt
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.
7 timer
Oversikt
Internet of Things (IoT) er en nettverksinfrastruktur som kobler fysiske objekter og programvare applikasjoner trådløst, slik at de kan kommunisere med hverandre og utveksle data via nettverkskommunikasjon, skyberegning og datafangst.
Blockchain er et desentralisert databasesystem som lagrer data i hovedbøker fordelt på mange noder.
Å bruke blockchain-teknologi med IoT gir tilgjengelighet og levering av IoT-data uten behov for sentral kontroll. Denne integrasjonen åpner for en rekke nye muligheter og flere fordeler for forretningsorganisasjoner.
I denne instruktørledede liveopplæringen (ekstern) vil deltakerne lære hvordan blockchain og IoT kan samarbeide når de går gjennom en serie praktiske live-lab-øvelser.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå hvordan blockchain og IoT kan samarbeide for å tilby løsninger for organisasjonen deres
- Utforsk forskjellige verktøy og ressurser for å implementere en blockchain-basert IoT-løsning for deres organisasjon
Publikum
- Utviklere
- ledere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
Blockchain er et desentralisert databasesystem som lagrer data i hovedbøker fordelt på mange noder.
Å bruke blockchain-teknologi med IoT gir tilgjengelighet og levering av IoT-data uten behov for sentral kontroll. Denne integrasjonen åpner for en rekke nye muligheter og flere fordeler for forretningsorganisasjoner.
I denne instruktørledede liveopplæringen (ekstern) vil deltakerne lære hvordan blockchain og IoT kan samarbeide når de går gjennom en serie praktiske live-lab-øvelser.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå hvordan blockchain og IoT kan samarbeide for å tilby løsninger for organisasjonen deres
- Utforsk forskjellige verktøy og ressurser for å implementere en blockchain-basert IoT-løsning for deres organisasjon
Publikum
- Utviklere
- ledere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
21 timer
Oversikt
Internet of Things (IoT) er en nettverksinfrastruktur som kobler fysiske objekter og programvare applikasjoner trådløst, slik at de kan kommunisere med hverandre og utveksle data via nettverkskommunikasjon, skyberegning og datafangst. Java Script er et populært objektorientert programmeringsspråk som anbefales for IoT på grunn av det allestedsnærværende.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å programmere IoT-løsninger med Java Script når de går gjennom utviklingen av et IoT-systempanel.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå det grunnleggende i IoT-arkitektur
- Konfigurer og konfigurer Arduino for IoT
- Forstå hvilken rolle Java Script spiller i programmering av IoT-systemer
- Utvikle et IoT-system ved hjelp av Arduino og Java Script
- Bygg, test, distribuer og feilsøk et IoT-systempanel ved hjelp av Java Script
Publikum
- Utviklere
- ingeniører
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å programmere IoT-løsninger med Java Script når de går gjennom utviklingen av et IoT-systempanel.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå det grunnleggende i IoT-arkitektur
- Konfigurer og konfigurer Arduino for IoT
- Forstå hvilken rolle Java Script spiller i programmering av IoT-systemer
- Utvikle et IoT-system ved hjelp av Arduino og Java Script
- Bygg, test, distribuer og feilsøk et IoT-systempanel ved hjelp av Java Script
Publikum
- Utviklere
- ingeniører
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
Insurtech (aka Digital Insurance) viser til konvergens av forsikring + nye teknologier. Innen feltet Insurtech "digitale forsikringsselskaper" teknologiinnovasjoner til sine forretnings- og driftsmodeller for å redusere kostnader, forbedre kundeopplevelsen og forbedre smidigheten i driften.
I denne instruktørledede opplæringen vil deltakerne få en forståelse av teknologiene, metodene og tankegangen som er nødvendige for å få til en digital transformasjon i sine organisasjoner og i bransjen for øvrig. Opplæringen er rettet mot ledere som trenger å få et stort bilde forståelse, bryte ned hypen og sjargongen, og ta de første skritt for å etablere en Insurtech strategi.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Diskuter Insurtech og alle komponentene på en intelligent og systematisk måte
- Identifiser og avmystifiser rollen til hver nøkkelteknologi i Insurtech .
- Utarbeide en generell strategi for implementering av Insurtech i deres organisasjon
Publikum
- forsikringsselskaper
- Teknologer innen forsikringsbransjen
- Interessenter i forsikring
- Konsulenter og forretningsanalytikere
Kursets format
- Delforelesning, deldiskusjon, øvelser og case study group aktiviteter
I denne instruktørledede opplæringen vil deltakerne få en forståelse av teknologiene, metodene og tankegangen som er nødvendige for å få til en digital transformasjon i sine organisasjoner og i bransjen for øvrig. Opplæringen er rettet mot ledere som trenger å få et stort bilde forståelse, bryte ned hypen og sjargongen, og ta de første skritt for å etablere en Insurtech strategi.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Diskuter Insurtech og alle komponentene på en intelligent og systematisk måte
- Identifiser og avmystifiser rollen til hver nøkkelteknologi i Insurtech .
- Utarbeide en generell strategi for implementering av Insurtech i deres organisasjon
Publikum
- forsikringsselskaper
- Teknologer innen forsikringsbransjen
- Interessenter i forsikring
- Konsulenter og forretningsanalytikere
Kursets format
- Delforelesning, deldiskusjon, øvelser og case study group aktiviteter
14 timer
Oversikt
Internet of Things (IoT) er en nettverksinfrastruktur som kobler fysiske objekter og programvare applikasjoner trådløst, slik at de kan kommunisere med hverandre og utveksle data via nettverkskommunikasjon, skyberegning og datafangst. Java er et generelt språk som er kjent for å være "skrive en gang, kjør hvor som helst." Java anbefales for IoT på grunn av sin bærbarhet og effektivitet.
I denne instruktørledede liveopplæringen vil deltakerne lære å programmere IoT-løsninger med Java .
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer verktøy og rammer (Eclipse Open IoT Stack) for programmering av IoT-systemer med Java
- Forstå det grunnleggende i IoT-arkitektur
- Bruk Eclipse Open IoT Stack for Java å koble til og administrere enheter i en IoT-løsning
- Bygg, test og distribuer et IoT-system ved hjelp av Java
Publikum
- Utviklere
- ingeniører
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede liveopplæringen vil deltakerne lære å programmere IoT-løsninger med Java .
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer verktøy og rammer (Eclipse Open IoT Stack) for programmering av IoT-systemer med Java
- Forstå det grunnleggende i IoT-arkitektur
- Bruk Eclipse Open IoT Stack for Java å koble til og administrere enheter i en IoT-løsning
- Bygg, test og distribuer et IoT-system ved hjelp av Java
Publikum
- Utviklere
- ingeniører
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
35 timer
Oversikt
This instructor-led, live training (online or onsite) is aimed at engineers who wish to apply forensic analysis techniques to mitigate and respond to security threats at the IoT and cloud level.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
21 timer
Oversikt
Unlike other technologies, IoT is far more complex encompassing almost every branch of core Engineering-Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics and Mobile. For each of its engineering layers, there are aspects of economics, standards, regulations and evolving state of the art. This is for the firs time, a modest course is offered to cover all of these critical aspects of IoT Engineering.
Summary
-
An advanced training program covering the current state of the art in Internet of Things
-
Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations.
-
Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things
Target Audience
-
Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient.
-
Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.
Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.
In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.
However, the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.
Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app.
This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.
Course Objective
Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas.
-
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?
-
Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc.
-
Security issues and security solutions for IoT
-
Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
-
Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
-
Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.
Summary
-
An advanced training program covering the current state of the art in Internet of Things
-
Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations.
-
Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things
Target Audience
-
Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient.
-
Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.
Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.
In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.
However, the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.
Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app.
This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.
Course Objective
Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas.
-
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?
-
Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc.
-
Security issues and security solutions for IoT
-
Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
-
Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
-
Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.
14 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 the cloud.
In this instructor-led, live training, 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 methods.
- Use Arduino communication modules to build different types of IoT systems.
- Use a mobile app to control Arduino.
- Connect an Arduino to other devices through Wi-Fi.
- Build and deploy an IoT Sensor System.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
-
Arduino is available in different models and supports different programming interfaces (C, C++, C#, Python) and IDEs (Arduino IDE, Visual Studio, etc.). To request a different setup, please contact us to arrange.
In this instructor-led, live training, 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 methods.
- Use Arduino communication modules to build different types of IoT systems.
- Use a mobile app to control Arduino.
- Connect an Arduino to other devices through Wi-Fi.
- Build and deploy an IoT Sensor System.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
-
Arduino is available in different models and supports different programming interfaces (C, C++, C#, Python) and IDEs (Arduino IDE, Visual Studio, etc.). To request a different setup, please contact us to arrange.
14 timer
Oversikt
Internet of Things (IoT) er et voksende teknologidomen som kobler sammen fysiske objekter og programvare trådløst for fjernmåling og kontroll. Augmented Reality (AR) er en teknologi som forbedrer brukeropplevelsen ved å blande virtuelle datamaskingenererte elementer med det fysiske miljøet i den virkelige verden. AR lar bedrifter gi brukerne et sanntids- og virkelighetsbilde av informasjon. Dette er to teknologier som har sett en raskt voksende adopsjonsrate på tvers av flere bransjer.
I denne instruktørledede, liveopplæringen, vil deltakerne lære grunnleggende om IoT og AR og anvende disse læringene til organisasjonenes operasjoner og strategier.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå det grunnleggende i IoT og AR
- Lær hvordan IoT- og AR-teknologier fungerer
- Forstå hvordan IoT- og AR-teknologier kan brukes på virksomhetens strategi
- Ta informerte forretningsavgjørelser om IoT og AR
Publikum
- ledere
- entreprenører
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede, liveopplæringen, vil deltakerne lære grunnleggende om IoT og AR og anvende disse læringene til organisasjonenes operasjoner og strategier.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå det grunnleggende i IoT og AR
- Lær hvordan IoT- og AR-teknologier fungerer
- Forstå hvordan IoT- og AR-teknologier kan brukes på virksomhetens strategi
- Ta informerte forretningsavgjørelser om IoT og AR
Publikum
- ledere
- entreprenører
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
21 timer
Oversikt
IoT application security refers to the technology and processes used to develop, manage and monitor the applications that control networked devices in an IoT system.
This instructor-led, live training (online or onsite) 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.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course can be based on any of the major cloud providers: AWS, Google Cloud, and Azure.
- To request a customized training, please contact us to arrange.
This instructor-led, live training (online or onsite) 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.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course can be based on any of the major cloud providers: AWS, Google Cloud, and Azure.
- To request a customized training, please contact us to arrange.
10 timer
Oversikt
Estimater for Internet of Things eller IoT markedsverdi er enorme, siden IoT per definisjon er et integrert og diffust lag med enheter, sensorer og datakraft som legger over hele forbruker-, næringslivsvirksomhet og myndigheter. IoT vil stå for et stadig større antall tilkoblinger: 12 B innen 2019 og 100B + innen 2025.
På forbrukerområdet har mange produkter og tjenester allerede gått over i IoT, inkludert kjøkken- og hvitevarer, parkering, RFID, belysnings- og varmeprodukter, og en rekke applikasjoner på industrielt internett.
De underliggende teknologiene til IoT er ikke noe nytt ettersom M2M-kommunikasjon eksisterte siden fødselen av Internett. Det som imidlertid endret seg de siste par årene, er fremveksten av antall billige trådløse teknologier som er lagt til ved overveldende tilpasning av smarttelefoner og nettbrett i hvert hjem. Eksplosiv vekst av mobile enheter førte til den nåværende etterspørselen etter IoT.
Etter Blockchain som Blockchain teknologien har blitt mer forstått de siste årene og dens evne til å løse virksomhetsbrukssaker i virksomheten blir tydelig, har teknologer undersøkt Blockchain teknologi for å løse Blockchain som har vært skremmende bransjer i mange år. I motsetning til eksisterende teknologier, er en av nøkkelfunksjonene i blockchain-teknologien den enestående evnen til å tilby, sporbarhet, ansvarlighet og uforanderlige poster som kan nås når som helst. Et applikasjonsområde av interesse for blockchain er å sikre heterogene nettverk. Denne artikkelen undersøker sikkerhetsutfordringene i et heterogon nettverk av IoT-enheter og om blockchain kan være en levedyktig løsning. Ved å bruke en eksperimentell tilnærming, undersøker vi muligheten for å bruke blockchain-teknologi for å sikre IoT-enheter, validere IoT-enhetstransaksjoner og etablere en tillitsskjede for å sikre et IoT-nettverksnett, samt undersøke muligheten for å bruke uforanderlige transaksjoner for rettsmedisinske analyser. .
Kursmål
- Gi introduksjon til migrering av sentralisert skybasert IoT til desentralisert kantbasert IoT
- Tegn sårbarhetslagene i hver bunke og mellom bunken
- Lære om Blockchain i IoT-initiativer i IBM, Samsung og noen andre store aktører.
- Casestudier og bruksområder for BlockChain i IoT
På forbrukerområdet har mange produkter og tjenester allerede gått over i IoT, inkludert kjøkken- og hvitevarer, parkering, RFID, belysnings- og varmeprodukter, og en rekke applikasjoner på industrielt internett.
De underliggende teknologiene til IoT er ikke noe nytt ettersom M2M-kommunikasjon eksisterte siden fødselen av Internett. Det som imidlertid endret seg de siste par årene, er fremveksten av antall billige trådløse teknologier som er lagt til ved overveldende tilpasning av smarttelefoner og nettbrett i hvert hjem. Eksplosiv vekst av mobile enheter førte til den nåværende etterspørselen etter IoT.
Etter Blockchain som Blockchain teknologien har blitt mer forstått de siste årene og dens evne til å løse virksomhetsbrukssaker i virksomheten blir tydelig, har teknologer undersøkt Blockchain teknologi for å løse Blockchain som har vært skremmende bransjer i mange år. I motsetning til eksisterende teknologier, er en av nøkkelfunksjonene i blockchain-teknologien den enestående evnen til å tilby, sporbarhet, ansvarlighet og uforanderlige poster som kan nås når som helst. Et applikasjonsområde av interesse for blockchain er å sikre heterogene nettverk. Denne artikkelen undersøker sikkerhetsutfordringene i et heterogon nettverk av IoT-enheter og om blockchain kan være en levedyktig løsning. Ved å bruke en eksperimentell tilnærming, undersøker vi muligheten for å bruke blockchain-teknologi for å sikre IoT-enheter, validere IoT-enhetstransaksjoner og etablere en tillitsskjede for å sikre et IoT-nettverksnett, samt undersøke muligheten for å bruke uforanderlige transaksjoner for rettsmedisinske analyser. .
Kursmål
- Gi introduksjon til migrering av sentralisert skybasert IoT til desentralisert kantbasert IoT
- Tegn sårbarhetslagene i hver bunke og mellom bunken
- Lære om Blockchain i IoT-initiativer i IBM, Samsung og noen andre store aktører.
- Casestudier og bruksområder for BlockChain i IoT
10 timer
Oversikt
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
35 timer
Oversikt
ThingsBoard er en åpen kildekode IoT-plattform som tilbyr enhetsstyring, datainnsamling, behandling og visualisering av IoT-løsningen din.
I denne instruktørledede ThingsBoard vil deltakerne lære å integrere ThingsBoard i IoT-løsningene.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer ThingsBoard
- Forstå det grunnleggende i ThingsBoard funksjoner og arkitektur
- Bygg IoT-applikasjoner med ThingsBoard
- Integrer ThingsBoard med Kafka for ThingsBoard av telemetrienheter
- Integrer ThingsBoard med Apache Spark for datasamling fra flere enheter
Publikum
- Programvareingeniører
- Maskinvareingeniører
- Utviklere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede ThingsBoard vil deltakerne lære å integrere ThingsBoard i IoT-løsningene.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer ThingsBoard
- Forstå det grunnleggende i ThingsBoard funksjoner og arkitektur
- Bygg IoT-applikasjoner med ThingsBoard
- Integrer ThingsBoard med Kafka for ThingsBoard av telemetrienheter
- Integrer ThingsBoard med Apache Spark for datasamling fra flere enheter
Publikum
- Programvareingeniører
- Maskinvareingeniører
- Utviklere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
16 timer
Oversikt
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 timer
Oversikt
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
Kommende Internet of Things Kurs
2020-11-09 09:30:00
21 timer
2020-12-02 09:30:00
21 timer
2020-12-30 09:30:00
21 timer
2021-02-24 09:30:00
21 timer
2021-04-19 09:30:00
21 timer
Rådgivning
Helg IoT kurs, kveld Internet of Things trening, IoT boot camp, Internet of Things (IoT) instruktørledet, Helg Internet of Things trening, Kveld IoT kurs, Internet of Things (IoT) coaching, Internet of Things (IoT) instruktør, Internet of Things trener, Internet of Things (IoT) kurs, IoT (Internet of Things) klasser, IoT on-site, IoT (Internet of Things) private kurs, Internet of Things (IoT) tomannshånd trening
.jpg "european southern observatory (eso)")
.jpg "procter & gamble (p&g)")
.jpg "european organization for nuclear research (cern)")