Online or onsite, instructor-led 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 business-oriented workshops for managers and entrepreneurs. In both cases, the coverage is interative and practical with hands-on activities and exercises designed to enhance understanding, participation and value.
IoT training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Internet of Things (IoT) trainings in Birmingham can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Birmingham
Maple House, 150 Corporation Street , Birmingham, united kingdom, B4 6TB
Directions
From Moor Street Station
Exiting via the main ticket hall, travel up the escalator to the Pallasades Shopping centre. At the top turn left and follow the shops first to the left and then to the right leading to the exit from the Pallasades and on to Corporation Street. Walking down the ramp past McDonalds continue up Corporation Street for 200m passing Gap Clothes, House of Fraser and We...
Directions
From Moor Street Station
Exiting via the main ticket hall, travel up the escalator to the Pallasades Shopping centre. At the top turn left and follow the shops first to the left and then to the right leading to the exit from the Pallasades and on to Corporation Street. Walking down the ramp past McDonalds continue up Corporation Street for 200m passing Gap Clothes, House of Fraser and Wetherspoons pub. Continue across Old Square and on to Corporation street again, the entrance to Maple House is adjacent to Tesco Express.
From Snow Hill Station
Exit the station and cross on to Colmore Row. Continue heading through the walkway under the tall glass building directly opposite the station. Carry on through the shops for around 300m and then bear left in to The Minories Shopping Centre. Upon exiting The Minories walk across the pedestrian crossing, past the Tony Hancock statue in Old Square, across the next crossing and directly across the road to your right is Maple House, adjacent to Tesco Express.
From Moor Street Station
Exit the station and turn right along Moor Street Parkway. Continue for around 300m and then turn left up the hill on to The Priory. At the top of the hill go over the crossing toward Tesco Express, follow the footpath round into Corporation Street and Maple House is directly on your right adjacent to Tesco Express.
By Road - From The M1 / M6
Exit at Junction 19. Take the M6 toward Coventry (North) / Birmingham. At junction 3a exit toward Birmingham/M42/M5, merge onto the M6 motorway. Exit the M6 at junction 6, exit toward A38 (M) / Birmingham (Cen). Merge onto A5127 / Aston Expressway. Take the exit toward Lancaster Circus Queensway, City Centre. At Lancaster Circus Queensway, take the 1st exit on to James Watt Queensway. Take the first right at Newton Street, turn left in to Dalton Street. Maple House located on Corporation Street adjacent to Tesco Express.
From The M5 / M6 Southbound
at Junction 1 of the M5. Exit the M6 at Junction 6, exit towards the A38 and following instructions as above.
Parking
The nearest NCP car parks are:
NCP - Birmingham Londonderry House on Dalton Street
This instructor-led, live training in Birmingham (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions.By the end of this training, participants will be able to:
Understand the principles and benefits of Federated Learning in IoT and edge computing.
Implement Federated Learning models on IoT devices for decentralized AI processing.
Reduce latency and improve real-time decision-making in edge computing environments.
Address challenges related to data privacy and network constraints in IoT systems.
This instructor-led, live training in Birmingham (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.By the end of this training, participants will be able to:
Understand the fundamentals of Edge AI and its application in IoT.
Set up and configure Edge AI environments for IoT devices.
Develop and deploy AI models on edge devices for IoT applications.
Implement real-time data processing and decision-making in IoT systems.
Integrate Edge AI with various IoT protocols and platforms.
Address ethical considerations and best practices in Edge AI for IoT.
This instructor-led, live training in Birmingham (online or onsite) is aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enabling efficiency, real-time processing, and innovation in various industries.By the end of this training, participants will be able to:
Understand the principles of IoT and edge computing and their role in digital transformation.
Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
Differentiate between edge and cloud computing architectures and deployment scenarios.
Implement edge computing solutions for predictive maintenance and real-time decision-making.
The aim of the training is to introduce into the world of the Internet of Things (smart solutions) and blockchain as well as to show the advantages and disadvantages of these technological worlds.
The aim of the training is to explain what the 5G network is and what impact it has on smart technologies. I want to show you both the advantages and disadvantages of these technological relationships (5G / IoT) and show you the directions of development of the network, which - from the very beginning - was dedicated to the smart world.
The aim of the training is to explain what are - and what are not - Smart solutions (Internet of Things, AI, Blockchain, Virtual Reality, Metaverse) and to show the advantages and disadvantages of these technological worlds.
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.
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
Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 12 B by 2019 and 100B+ by 2025.In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.The underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However, what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.As DLT become more understood in recent years and its capability to solve enterprise business use cases become evident, technologist have been exploring Distributed Ledger Technology (DLT) (such as Blockchain or IOTA) to solve use cases that have been daunting industries for years. Unlike existing technologies, one of the key features of DLT is its unparalleled capability to provide, traceability, accountability and immutable records that can be accessed at any point in time. One application area of interest in DLT is securing heterogenous networks. The technology has to be secured, immutable and offer real time transaction.Course Objective
Give introduction of migration of centralized cloud based IoT to decentralized edge based IoT (with example of smart car charging, P2P energy grids)
Drawing the layers of vulnerability at each stack and between the stack
Learning about the DLT (Blockchain and DAG – direct acyclic graph) in IoT initiatives in IBM, Samsung, IOTA foundation and some other large players.
This instructor-led, live training in Birmingham (onsite or remote) is aimed at engineers who wish to set up, deploy and manage a secure IoT application.By the end of this training, participants will be able to:
Develop and deploy applications to manage IoT devices securely.
Securely integrate IoT devices to the Cloud.
Integrate an IoT application with existing infrastructure.
Internet of Things (IoT) is an emerging technology domain that connects physical objects and software applications wirelessly for remote sensing and control. Augmented Reality (AR) is a technology that improves user experience by blending virtual computer-generated elements with the physical real-world environment. AR allows businesses to provide users with a real-time and real-world view of information. These are two technologies that have been seeing a rapidly growing adoption rate across multiple industries.In this instructor-led, live training, participants will learn the fundamentals of IoT and AR and apply these learnings to their organizations' operations and strategies.By the end of this training, participants will be able to:
Understand the fundamentals of IoT and AR
Learn how IoT and AR technologies work
Understand how IoT and AR technologies can be applied to their business' strategy
Make informed business decisions about IoT and AR
Audience
Managers
Entrepreneurs
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training in Birmingham, participants will learn the fundamentals of IoT as they step through the creation of an Arduino-based IoT sensor system.By the end of this training, participants will be able to:
Understand the principles of IoT, including IoT components and communication techniques.
Learn how to use Arduino communication modules that can be used for different IoT systems.
Learn how to use and program a mobile app to control Arduino.
Use a Wi-Fi module to connect the Arduino to another device.
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.
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.
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.SummaryAn advanced training program covering the current state of the art in Internet of ThingsCuts 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 & thingsTarget AudienceManagers 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 ObjectiveMain 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 planeM2M 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 IoTOpen source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etcOpen source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT cloudsStudies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.
This instructor-led, live training in Birmingham (onsite or remote) is aimed at engineers who wish to apply forensic analysis techniques to mitigate and respond to security threats at the IoT and cloud level.
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Java is a general purpose language that is known for being "write once, run anywhere." Java is recommended for IoT due to its portability and efficiency.In this instructor-led, live training, participants will learn how to program IoT solutions with Java.By the end of this training, participants will be able to:
Install and configure tools and frameworks (Eclipse Open IoT Stack) for programming IoT systems with Java
Understand the fundamentals of IoT architecture
Use the Eclipse Open IoT Stack for Java to connect and manage devices in an IoT solution
Build, test, and deploy an IoT system using Java
Audience
Developers
Engineers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. 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.
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 ObjectiveMain 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
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.
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.
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 objectivesMain 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
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Python is a high-level programming language recommended for IoT due to its clear syntax and large community support.In this instructor-led, live training, participants will learn how to program IoT solutions with Python.By the end of this training, participants will be able to:
Understand the fundamentals of IoT architecture
Learn the basics of using Raspberry Pi
Install and configure Python on Raspberry Pi
Learn the benefits of using Python in programming IoT systems
Build, test, deploy, and troubleshoot an IoT system using Python and Raspberry Pi
Audience
Developers
Engineers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture.In this instructor-led, live training, participants will learn the fundamentals of IoT as they step through the creation of an IoT sensor system using the Raspberry Pi.By the end of this training, participants will be able to:
Understand the principles of IoT, including IoT components and communication techniques
Learn how to set up the Raspberry Pi specifically for IoT applications
Build and deploy their own IoT Sensor System
Audience
Hobbyists
Hardware/software engineers and technicians
Technical persons in all industries
Beginner developers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
Participants are responsible for purchasing the Raspberry Pi hardware and components.
Over the last three years, engineering in IoT has seen massive changes primarily driven by Microsoft, Google and Amazon. These large behemoths have invested billions of dollars to develop IoT platforms that are more easy to manage and secure some perimeters of data. Also IoT edge has gained a lot of momentum in both research and deployment as only means for practical IoT implementation. 5G is also promising to transform the business of IoT. This has led to an unprecedented large swath of new areas of research funding in IoT.However large scale adaptation of IoT is slow due to security concerns at various levels. Securing Firmware and Gateways is far from ideal. One of the major issue is, disagreement among different large IoT vendors on the matter of security. Microsoft Azure, Amazon AWS have pushed forward with its own security standards. Where as NIST is placing a more comprehensive one. OWASP model of 10 layers of IoT security did some impact but overall failed to get much ground due to non-adoption from major IoT platform like Azure or Google. Second large area of concern is security of Firmware. Primarily most of the Firmware are still vulnerable to any patching be it via OTA ( over the top ) or locally via a hardware port. Course Objective
Give introduction of all the technology stacks, data model and vulnerability of IoT
Drawing the layers of vulnerability at each stack and between the stack
Vulnerability from vendors and third party devices
In this instructor-led, live training in Birmingham, 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.
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
This instructor-led, live training in Birmingham (online or onsite) is aimed at developers and programmers who wish to install, configure, and manage the Kaa platform to build IoT applications.By the end of this training, participants will be able to build, develop, manage, and implement IoT applications for smart devices and machines using Kaa.
In this instructor-led, live training in Birmingham, 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.
This instructor-led, live training in Birmingham (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.
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.
In this instructor-led, live training in Birmingham, 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.
IntroductionConstrained 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.
IntroductionUnlike 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
OverviewEstimates 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 ObjectiveMain 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.
The ability of the trainer to align the course with the requirements of the organization other than just providing the course for the sake of delivering it.
Masilonyane - Revenue Services Lesotho
Course - Big Data Business Intelligence for Govt. Agencies
The oral skills and human side of the trainer (Augustin).
Jeremy Chicon - TE Connectivity
Course - NB-IoT for Developers
The training was relevant to my needs and I would be able to apply the lessons learnt to meet my challenging needs
Botshabelo Jason - Water Utilities Botswana
Course - IoT Fundamentals and Frontiers : For Managers, CXO, VP, Investors and Entrepreneurs
Practical examples and wider context given.
James - Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)
Course - IoT Programming with Python
The practical part, I was able to perform exercises and to test the Microsoft Azure features
Alex Bela - Continental Automotive Romania SRL
Course - Programming for IoT with Azure
How friendly the trainer was.
The flexibility and answering my questions.
Saed El-kayed - International Committee of the Red Cross (ICRC)
Course - IoT Security
Practical work
James - Argent Energy
Course - Introduction to IoT Using Arduino
Ann is very knowledgeable on the subject. She is constantly varying pace according to the feedback. There is a lot of room for discussing attendee's own experiences. It was a great joy !.
Sjoerd Hulzinga - KPN p/a Bloomville
Course - IoT Security Architecture
Provisonal Upcoming Courses (Contact Us For More Information)
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