Internet of Things (IoT) Počítačové Kurzy

Internet of Things (IoT) Počítačové Kurzy

Lokální instruktorem vedené Internet of Things (IoT) školení České republice.

Reference

★★★★★
★★★★★

Internet of Things (IoT) Podkategorie

Internet of Things (IoT) Návrh Školení

Název školení
Doba trvání
Přehled
Název školení
Doba trvání
Přehled
35 hodin
Přehled
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.
21 hodin
Přehled
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
14 hodin
Přehled
Nginx is popular for use as a web server. Other uses include running Nginx as a load balancer, reverse proxy, and forward proxy.

In this instructor-led, live training, 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.

Audience

- Developers
- System Administrators

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
7 hodin
Přehled
NB-IoT allows IoT devices to operate over carrier networks such as GSM and "guard bands" between LTE channels. NB-IoT needs only 200kHz of bandwidth and can efficiently connect large numbers of endpoint devices (up to 50,000 per NB-IoT network cell). Its low power requirements makes it ideal for use in small, uncomplicated IoT gadgets such as smart parking, utilities and wearables.

Most of today's IoT connections are industrial. Industrial IoT (IIoT) connections require Low Power Wide Area (LPWA) technologies to provide connectivity, coverage and subscription capabilities for low bandwidth applications. Although these requirements could be served by existing cellular networks, such networks may not be ideal. NB-IoT (Narrow Band IoT) technology offers a promising solution.

In this instructor-led, live training, 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.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
14 hodin
Přehled
Machine-to-Machine (M2M) refers to direct automated communication between networked mechanical or electronic devices.
21 hodin
Přehled
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.
21 hodin
Přehled
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)
14 hodin
Přehled
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
21 hodin
Přehled
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
14 hodin
Přehled
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.
14 hodin
Přehled
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.
22 hodin
Přehled
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
14 hodin
Přehled
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.
7 hodin
Přehled
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.
21 hodin
Přehled
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.
14 hodin
Přehled
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
14 hodin
Přehled
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.
35 hodin
Přehled
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.
21 hodin
Přehled
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.
14 hodin
Přehled
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.
14 hodin
Přehled
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.
14 hodin
Přehled
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.
14 hodin
Přehled
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.
21 hodin
Přehled
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.
10 hodin
Přehled
Odhady pro internet věcí nebo tržní hodnotu internetu věcí jsou obrovské, protože IoT je ze své definice integrovanou a rozptýlenou vrstvou zařízení, senzorů a výpočetní síly, která překrývá celý spotřebitelský, podnikatelský a vládní průmysl. IoT bude představovat stále větší počet připojení: 12 B do roku 2019 a 100 B + do roku 2025.

Ve spotřebitelském prostoru již do IoT přešlo mnoho produktů a služeb, včetně kuchyňských a domácích spotřebičů, parkování, RFID, produktů osvětlení a topení a řady aplikací v průmyslovém internetu.

Základní technologie IoT nejsou ničím novým, protože komunikace M2M existovala od narození internetu. V posledních několika letech se však změnil počet levných bezdrátových technologií, které byly přidány ohromnou adaptací chytrých telefonů a tabletů v každé domácnosti. Výbušný růst mobilních zařízení vedl k současné poptávce po internetu věcí.

Jak se technologie Blockchain v posledních letech lépe chápe a její schopnost řešit případy podnikového podnikání se projevuje, technolog zkoumá technologii Blockchain aby vyřešil případy použití, které po léta skličují průmyslová odvětví. Na rozdíl od stávajících technologií je jednou z klíčových vlastností technologie blockchain její bezkonkurenční schopnost poskytovat, sledovatelnost, odpovědnost a neměnné záznamy, ke kterým lze přistupovat kdykoli. Jednou z aplikačních oblastí zájmu blockchainu je zabezpečení heterogenních sítí. Tento článek zkoumá bezpečnostní výzvy v heterogonní síti zařízení IoT a to, zda může být blockchain životaschopným řešením. Pomocí experimentálního přístupu prozkoumáváme možnost použití technologie blockchain k zabezpečení zařízení IoT, ověření transakcí zařízení IoT a vytvoření řetězce důvěry pro zabezpečení sítě ok zařízení IoT a také zkoumáme věrohodnost použití neměnných transakcí pro forenzní analýzu .

Cíl předmětu

- Uveďte migraci centralizovaného cloudového IoT na decentralizovaný okrajový IoT
- Kreslení vrstev zranitelnosti v každém zásobníku a mezi ním
- Blockchain o Blockchain v IoT iniciativách v IBM, Samsung a některých dalších velkých hráčích.
- Případové studie a aplikační oblasti pro BlockChain v IoT
10 hodin
Přehled
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
35 hodin
Přehled
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.
16 hodin
Přehled
IoT je Internet věcí.

Tento instruktor vedený, živý trénink (na pracovišti nebo na dálku) je zaměřen na členy fakulty a výzkumné inženýry, kteří chtějí používat IoT v elegantním městě, chytré výrobě, 5G-IoT atd.

Na konci tohoto výcviku budou účastníci schopni se podstvit:

- Vertikální hlediska: vznikající technologické možnosti, platformy a případové studie realizace IoT v rozvíjejících se oblastech (chytrá města, chytrá výroba, zemědělství, veřejná bezpečnost atd.)
- Horizontální aspekty: (špičkové výpočetní techniky, platformy PaaS, 5G-IoT atd.) pro univerzitní vědce

Formát kurzu

- Interaktivní přednáška a diskuse.
- Hodně cvičení a cviku.
- Praktická implementace v prostředí živé laboratoře.

Možnosti přizpůsobení kurzu

- Chcete-li požádat o vlastní školení pro tento kurz, kontaktujte nás prosím.
- Další informace o IoT naleznete na adrese:
24 hodin
Přehled
Úvod

CSP (poskytovatelé komunikačních služeb), kteří jsou omezeni tradičním hlasem a příjmem dat, hledají nový zdroj příjmů ze služeb IoT poskytovaných domovům, kancelářským a personálům. V důsledku toho se IoT stává součástí nového modelu OSS a BSS.

Shrnutí

- Případové studie úspěšné integrace služeb IoT společností telcos
- Integrace služeb IoT s OSS
- Nové druhy místních IoT data/služeb/nabídky konektivity
- Vertikální IoT-celkový prodej servisu vs. prodej middlewaru.
- Integrace prodeje IoT v BSS
Víkendové Internet of Things (IoT) kurzy, Večerní Internet of Things (IoT) školení, Internet of Things (IoT) přijímač, Internet of Things (IoT) vedené školitelem, Víkendové Internet of Things (IoT) školení, Večerní Internet of Things (IoT) kurzy, Internet of Things (IoT) koučování, Internet of Things (IoT) lektor, Internet of Things (IoT) školitel, Internet of Things (IoT) počítačová školení, Internet of Things (IoT) počítačové kurzy , Internet of Things (IoT) kurzy, Internet of Things (IoT) školení, Internet of Things (IoT) on-site, Internet of Things (IoT) uzavřená školení, Internet of Things (IoT) individuální školení

Slevy Kurzů

Informační Bulletin Slev

Respektujeme soukromí vaší e-mailové adresy. Vaši adresu nebudeme předávat ani prodávat ostatním.
Vždy můžete změnit své preference nebo se úplně odhlásit.

Někteří z našich klientů

is growing fast!

We are looking to expand our presence in Czech Republic!

As a Business Development Manager you will:

  • expand business in Czech Republic
  • recruit local talent (sales, agents, trainers, consultants)
  • recruit local trainers and consultants

We offer:

  • Artificial Intelligence and Big Data systems to support your local operation
  • high-tech automation
  • continuously upgraded course catalogue and content
  • good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

Apply now!

This site in other countries/regions