Distinguished from other technological domains, the Internet of Things (IoT) presents a unique complexity that spans nearly every branch of core engineering, including Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile. For each engineering layer involved, there are critical considerations regarding economics, standards, regulations, and the evolving state of the art. For the first time, this modest course provides comprehensive coverage of all these essential aspects of IoT engineering.
Summary
An advanced training programme that explores the current state of the art in the Internet of Things.
It cuts across multiple technology domains to develop a holistic awareness of IoT systems and their components, demonstrating how they can enhance business value and organizational efficiency.
The course includes live demonstrations of model IoT applications to showcase practical IoT deployments across various industry sectors, such as Industrial IoT, Smart Cities, Retail, and Travel & Transportation, along with use cases centred on connected devices and things.
Target Audience
Managers responsible for business and operational processes within their organizations who wish to understand how to leverage IoT to make their systems and processes more efficient.
Entrepreneurs and Investors looking to build new ventures and seeking a deeper understanding of the IoT technology landscape to determine how they can leverage it effectively.
Estimates for the Internet of Things (IoT) market value are massive. By definition, IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The number of connections is growing significantly: from 1.9 billion devices today to an estimated 9 billion by 2018. By that year, the number of IoT connections will be roughly equal to the combined total of smartphones, smart TVs, tablets, wearable computers, and PCs.
In the consumer space, many products and services have already crossed over into the IoT ecosystem, including kitchen and home appliances, parking systems, RFID, lighting and heating products, and numerous applications within the Industrial Internet.
However, the underlying technologies of IoT are not entirely new, as Machine-to-Machine (M2M) communication has existed since the birth of the Internet. What has changed in the last couple of years is the emergence of numerous inexpensive wireless technologies, coupled with the overwhelming adoption of smartphones and tablets in every home. The explosive growth of mobile devices has led to the current demand for IoT solutions.
Due to the unbounded opportunities in the IoT business, a large number of small and medium-sized entrepreneurs have joined the IoT gold rush. Furthermore, the emergence of open-source electronics and IoT platforms has made the cost of developing IoT systems and managing their sizable production increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their devices with the Internet or mobile apps.
This training is intended to provide a technology and business review of this emerging industry, enabling IoT enthusiasts and entrepreneurs to grasp the basics of IoT technology and business.
Course Objectives
The main objective of the course is to introduce emerging technological options, platforms, and case studies of IoT implementation in areas such as home & city automation (smart homes and cities), the Industrial Internet, healthcare, government, mobile cellular networks, and other areas.
Provide a basic introduction to all elements of IoT: Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile-to-Electronics integration, Mobile-to-enterprise integration, Data-analytics, and the Total control plane.
Clarify M2M Wireless protocols for IoT (WiFi, Zigbee/Zwave, Bluetooth, ANT+), including when and where to use each one.
Explore Mobile/Desktop/Web apps for registration, data acquisition, and control. Review available M2M data acquisition platforms for IoT, such as Xively, Omega, and NovoTech.
Address security issues and security solutions for IoT.
Review open-source/commercial electronics platforms for IoT, including Raspberry Pi, Arduino, and ARM Mbed LPC.
Examine open-source/commercial enterprise cloud platforms for AWS-IoT apps, Azure IoT, Watson IoT cloud, in addition to other minor IoT clouds.
Conduct studies of the business and technology of common IoT devices, such as home automation, smoke alarms, vehicles, military applications, and home health care.
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