Unlike many other technologies, the Internet of Things (IoT) is exceptionally complex, spanning nearly every core engineering discipline: Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile. For each of these engineering layers, there are critical considerations regarding economics, standards, regulations, and the evolving state of the art. This course offers a unique opportunity to cover all these critical aspects of IoT Engineering for the first time in a cohesive program.
Summary
An advanced training program designed to provide an overview of the current state of the art in the Internet of Things.
It cuts across multiple technology domains to develop a comprehensive awareness of IoT systems, their components, and their potential to benefit businesses and organizations.
The course includes live demonstrations of model IoT applications to showcase practical IoT deployments across various industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation, and use cases involving connected devices.
Target Audience
Managers responsible for business and operational processes within their organizations who wish to understand how to harness IoT to make their systems and processes more efficient.
Entrepreneurs and Investors looking to build new ventures and who want to develop a deeper understanding of the IoT technology landscape to 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 sectors. The number of IoT connections is growing rapidly: from 1.9 billion devices today to an estimated 9 billion by 2018. That year, the number of connected devices will roughly equal 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 solutions, RFID systems, lighting and heating products, and various 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 early days of the Internet. What has changed in recent years is the emergence of numerous inexpensive wireless technologies, coupled with the overwhelming adoption of smartphones and tablets in every home. This explosive growth in mobile devices has driven the current demand for IoT solutions.
Due to the unbounded opportunities in the IoT business sector, a large number of small and medium-sized entrepreneurs have joined the IoT 'gold rush.' Additionally, the emergence of open-source electronics and IoT platforms has made the cost of developing IoT systems and managing their substantial production increasingly affordable. Existing electronic product owners are now 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 its business implications.
Course Objective
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 sectors.
It provides a basic introduction to all key elements of IoT: Mechanical components, Electronics/sensor platforms, Wireless and wireline protocols, Mobile-to-Electronics integration, Mobile-to-Enterprise integration, Data-analytics, and the total control plane.
It covers M2M Wireless protocols for IoT, including WiFi, Zigbee/Zwave, Bluetooth, and ANT+, explaining when and where to use each.
It explores Mobile/Desktop/Web apps for registration, data acquisition, and control, including available M2M data acquisition platforms for IoT such as Xively, Omega, and NovoTech.
It addresses security issues and security solutions specific to IoT.
It examines open-source and commercial electronics platforms for IoT, such as Raspberry Pi, Arduino, and Arm Mbed LPC.
It reviews open-source and commercial enterprise cloud platforms for AWS-IoT apps, Azure IoT, Watson IoT, and other minor IoT clouds.
It includes studies of the business and technology of common IoT devices, such as home automation systems, smoke alarms, vehicles, military applications, and home health solutions.
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