In contrast to other technologies, the Internet of Things (IoT) is significantly more complex, spanning nearly every core engineering discipline including Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile. Each engineering layer of IoT involves specific economic considerations, standards, regulatory frameworks, and the latest technological advancements. This course offers, for the first time, a comprehensive yet accessible overview of these critical aspects of IoT engineering.
Summary
An advanced training program that explores the current state of the art in Internet of Things technology.
It bridges multiple technology domains to build awareness of IoT systems, their components, and their potential to enhance business operations and organizational efficiency.
Includes live demonstrations of model IoT applications to showcase practical deployments across diverse industry sectors, 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 seek to leverage IoT to improve system efficiency and streamline operations.
Entrepreneurs and Investors aiming to launch new ventures, requiring a deeper understanding of the IoT technology landscape to effectively capitalize on its opportunities.
Market estimates for the Internet of Things are substantial, as IoT is defined by an integrated and pervasive layer of devices, sensors, and computing power overlaying consumer, B2B, and government sectors. The number of connections is growing rapidly: from 1.9 billion devices today to a projected 9 billion by 2018. By that year, IoT connections will roughly equal the combined total of smartphones, smart TVs, tablets, wearable computers, and PCs.
In the consumer sector, numerous products and services have already integrated into the IoT ecosystem, including kitchen and home appliances, parking systems, RFID, lighting, heating products, and applications within the Industrial Internet.
While the underlying technologies of IoT are not entirely new—M2M communication has existed since the dawn of the Internet—the landscape has shifted dramatically in recent years due to the proliferation of inexpensive wireless technologies and the widespread adoption of smartphones and tablets in households. This explosive growth in mobile device usage has driven the current demand for IoT solutions.
Given the vast opportunities in the IoT business sector, many small and medium-sized entrepreneurs have joined the wave of the IoT 'gold rush.' The emergence of open-source electronics and IoT platforms has made the cost of developing and managing IoT systems increasingly affordable. Existing electronic product owners are now under pressure to integrate their devices with the Internet or mobile applications.
This training is designed to provide a technology and business review of this emerging industry, enabling IoT enthusiasts and entrepreneurs to grasp the fundamentals of IoT technology and its business implications.
Course Objective
The primary objective is to introduce emerging technological options, platforms, and case studies of IoT implementation in areas such as home and city automation (smart homes and cities), Industrial Internet, healthcare, government, mobile cellular networks, and other sectors.
Provide a basic introduction to all key IoT elements: Mechanical, Electronics/sensor platforms, Wireless and wireline protocols, Mobile-to-Electronics integration, Mobile-to-enterprise integration, Data analytics, and the total control plane.
Explain M2M Wireless protocols for IoT (WiFi, Zigbee/Zwave, Bluetooth, ANT+) and clarify when and where to utilize each one.
Discuss Mobile/Desktop/Web apps for registration, data acquisition, and control, highlighting available M2M data acquisition platforms for IoT such as Xively, Omega, and NovoTech.
Address security issues and present security solutions tailored for IoT.
Introduce open-source and commercial electronics platforms for IoT, including Raspberry Pi, Arduino, Arm Mbed, and LPC.
Overview open-source and commercial enterprise cloud platforms for AWS IoT apps, Azure IoT, Watson IoT cloud, and other minor IoT cloud services.
Conduct studies of the business and technology aspects of common IoT devices, including home automation, smoke alarms, vehicles, military applications, and home health systems.
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