5G and IoT - Plan Szkolenia

Edge computing is a form of distributed computing that brings data storage and processing closer to the end user. It reduces latency and conserves network resources by utilizing edge servers instead of the traditional centralized cloud.

This instructor-led, live training (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.

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

• Understand the basic concepts and advantages of Edge Computing.
• Identify the use cases and examples where Edge Computing can be applied.
• Design and build Edge Computing solutions for faster data processing and reduced operational costs.

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.

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.

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.

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

5G is the 5th generation mobile network and global wireless standard that follows 1G, 2G, 3G, and 4G networks. 5G is designed to connect people, machines, objects, and devices.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to understand the architectural components that make up 5G so as to begin implementing their own solutions on top of this groundbreaking new network.

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

• Learn the fundamentals of 5G.
• Understand the 5G architecture and standards.
• Perform network function virtualization and network slicing.

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.

5G is the latest mobile network technology designed to connect billions of devices for running virtual reality (VR), IoT, and Artificial Intelligence (AI). 5G is expected to have an enormous impact on people's lives and business.

This instructor-led, live training (online or onsite) is aimed at business managers who wish to learn only the critical information needed to make important decisions about the adoption of 5G. This course is not a technical course but rather a course on the strategic thinking needed to prepare for the arrival of 5G. The technical coverage and industry coverage will be adapted to the audience.

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

• Identify the opportunities that 5G brings to the organization.
• Identify the risks that 5G poses to business and industry.
• Understand and distinguish the different technologies and standards underlying 5G.
• Understand the role that 5G will play in the further development of AI and IoT.
• Head up 5G initiatives that lead to improvements in customer service and operational efficiency.
• Initiate a strategy for adopting 5G products and services within the organization as well as across external partner organizations.

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.

5G is the latest mobile network technology designed to connect billions of devices for running VR (Virtual Reality), IoT (Internet of Things), and AI (Artificial Intelligence). 5G is expected to have a large impact on supply chains.

This instructor-led, live training (online or onsite) is aimed at supply chain professionals who wish to learn the critical information needed to make important decisions about the adoption of 5G. This course is not a technical course but rather a course on the strategic thinking needed to prepare for the upcoming impact of 5G on the supply chain. The technical coverage and industry coverage will be adapted to the audience.

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

• Identify the opportunities that 5G will bring to supply chain management.
• Identify the risks that 5G poses to supply chains.
• Understand and distinguish the different technologies and standards underlying 5G.
• Understand the role that 5G will play in improving product tracking, monitoring, and automation.
• Head up 5G initiatives that lead to improvements in customer service and operational efficiency in supply chains.
• Initiate a strategy for adopting 5G products and services within the supply chain.

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.

O-RAN-Software Community (O-RAN-SC) is a collaborative effort to create an open-source software application layer to interact with devices at the edge of the 5G RAN (Radio Access Network). This software will serve as an infrastructure platform for running 5G RAN solutions.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use the O-RAN-SC architectural standards and guidelines to develop 5G RAN solutions.

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.

Unlike other technologies, IoT is far more complex encompassing almost every branch of core Engineering-Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics and Mobile. For each of its engineering layers, there are aspects of economics, standards, regulations and evolving state of the art. This is for the firs time, a modest course is offered to cover all of these critical aspects of IoT Engineering.

Summary

• An advanced training program covering the current state of the art in Internet of Things

• Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations.

• Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things

Target Audience

• Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient.

• Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.

Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.

In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.

However, the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.

Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app.

This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.

Course Objective

Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas.

1. Basic introduction of all the elements of IoT-Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile to Electronics integration, Mobile to enterprise integration, Data-analytics and Total control plane

2. M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one?

3. Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc.

4. Security issues and security solutions for IoT

5. Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc

6. Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds

7. Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.

Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.

High-value government solutions will be created from a mashup of the most disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.

But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.

The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.

The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.

Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.

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

Internet Rzeczy (IoT - Internet of Things) to koncepcja, w której urządzenia codziennego użytku są połączone ze sobą i z siecią internetową, co umożliwia im zbieranie, wymianę i analizę danych. - Urządzenia IoT mogą być różnorodne: od smartfonów, zegarków, urządzeń medycznych, aż po samochody, urządzenia domowe czy czujniki przemysłowe. - Te urządzenia są połączone za pomocą różnych technologii, takich jak Wi-Fi, Bluetooth, Zigbee, LTE czy sieci komórkowe, co umożliwia im komunikację ze sobą oraz z sieciami internetowymi. - Wyposażone w sensory, urządzenia IoT mogą zbierać dane z otoczenia, np. temperaturę, wilgotność, położenie geograficzne, dane biometryczne itp. - Zebrane dane są przesyłane do chmury lub lokalnych centrów przetwarzania danych, gdzie są analizowane i przetwarzane na użyteczne informacje. - Na podstawie zebranych danych, urządzenia mogą wykonywać zadania automatycznie, np. regulować temperaturę, monitorować stan zdrowia, sterować systemami domowymi itp. - W przemyśle IoT może być wykorzystywane do monitorowania i optymalizacji procesów produkcyjnych, zarządzania zapasami, monitorowania wydajności maszyn itp. - W biznesie IoT może pomagać w dostarczaniu usług, personalizacji doświadczeń klientów, zarządzaniu łańcuchem dostaw itp. - IoT stale ewoluuje, integrując się z sztuczną inteligencją, uczeniem maszynowym i nowymi technologiami, co otwiera drzwi do nowych zastosowań i innowacji. Internet Rzeczy zmienia sposób, w jaki łączymy się ze światem, umożliwiając nam monitorowanie, kontrolowanie i optymalizację różnorodnych aspektów naszego życia codziennego, pracy i przemysłu. Jego rozwój przynosi wiele nowych możliwości i wyzwań, szczególnie związanych z bezpieczeństwem, prywatnością i zarządzaniem danymi.

Insurtech (a.k.a Digital Insurance) refers to the convergence of insurance + new technologies. In the field of Insurtech "digital insurers" apply technology innovations to their business and operating models in order to reduce costs, improve the customer experience and enhance the agility of their operations.

In this instructor-led training, participants will gain an understanding of the technologies, methods and mindset needed to bring about a digital transformation within their organizations and in the industry at large. The training is aimed at managers who need to gain a big picture understanding, break down the hype and jargon, and take the first steps in establishing an Insurtech strategy.

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

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

Audience

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

Format of the course

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

Unlike other technologies, IoT is far more complex encompassing almost every branch of core Engineering-Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics and Mobile. For each of its engineering layers, there are aspects of economics, standards, regulations and evolving state of the art. This is for the firs time, a modest course is offered to cover all of these critical aspects of IoT Engineering.

For manufacturing professional, most critical aspect is to understand the advancement in the area of Industrial Internet of things, which includes predictive and preventative maintenance, condition based monitoring of the machines, production optimization, energy optimization, supply-chain optimization and uptime of manufacturing utilities etc.

Summary

• An advanced training program covering the current state of the art in Internet of Things in Smart Factories.
• Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help manufacturing managerial professionals
• Live demo of model IIoT applications for smart factories

Target Audience

• Managers responsible for business and operational processes within their respective manufacturing organizations and want to know how to harness IoT to make their systems and processes more efficient.

Duration 3 Days ( 8 hours / day)

Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.

In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.

However the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.

Industrial IoT, or IIoT for manufacturing has been widely in use since 2014 and since then a large number of IIoT innovations have taken place. This course will introduce all the important aspects of innovations in Industrial IoT area.

This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.

Course Objective

Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in smart factories for manufacturing sectors.

1. Studies of business and technology of some of the common IIoT platform like Siemens MindSphere and Azure IoT.
2. Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT, Mindsphere IIoT cloud in addition to other minor IoT clouds
3. Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
4. Security issues and security solutions for IIoT
5. Mobile/Desktop/Web app- for registration, data acquisition and control –
6. M2M Wireless protocols for IoT- WiFi, LoPan, BLE, Ethernet, Ethercat, PLC : When and where to use which one?
7. 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

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.