Unlike other technologies, the Internet of Things (IoT) is significantly more complex, spanning nearly every branch of core engineering, including Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile domains. Each of these engineering layers involves critical considerations regarding economics, standards, regulations, and the evolving state of the art. This course offers a unique opportunity to comprehensively cover all these vital aspects of IoT engineering for the first time in a structured format.
Summary
An advanced training program designed to provide an in-depth look at the current state-of-the-art in the Internet of Things.
The curriculum cuts across multiple technology domains to develop a comprehensive awareness of IoT systems, their components, and how they can be leveraged to enhance business operations and organizational outcomes.
The program includes live demonstrations of model IoT applications, showcasing practical deployments across various industry verticals 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 respective organizations who seek to understand how to harness IoT to improve system efficiency and operational workflows.
Entrepreneurs and Investors aiming to build new ventures and wishing to develop a deeper understanding of the IoT technology landscape to effectively leverage its potential.
The estimated value of the Internet of Things (IoT) market is substantial. By definition, IoT is an integrated and pervasive layer of devices, sensors, and computing power that overlays consumer, business-to-business, and government industries. The number of connections is growing rapidly: currently standing at 1.9 billion devices, with projections reaching 9 billion by 2018. By that year, this figure will be roughly equivalent to the combined total of smartphones, smart TVs, tablets, wearable computers, and PCs.
In the consumer sector, numerous products and services have already transitioned into the IoT ecosystem, including kitchen and home appliances, parking systems, RFID solutions, lighting and heating products, and various applications within the Industrial Internet.
While the underlying technologies of IoT are not entirely new—given that Machine-to-Machine (M2M) communication has existed since the early days of the Internet—the landscape has shifted dramatically in recent years. This change is driven by the emergence of inexpensive wireless technologies and the widespread adoption of smartphones and tablets in households. The explosive growth in mobile device usage has directly fueled the current demand for IoT solutions.
Due to the unbounded business opportunities in the IoT space, a significant number of small and medium-sized entrepreneurs have joined the "IoT gold rush." Additionally, the rise of open-source electronics and IoT platforms has made the cost of developing and managing large-scale IoT production increasingly affordable. Existing electronic product owners are now facing 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 business models.
Course Objective
The primary objective of this course 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), the Industrial Internet, healthcare, government, mobile cellular networks, and other relevant fields.
The course provides a basic introduction to all elements of the IoT ecosystem, including Mechanical engineering, Electronics/sensor platforms, Wireless and wireline protocols, Mobile-to-Electronics integration, Mobile-to-enterprise integration, Data analytics, and the total control plane.
Key topics include M2M Wireless protocols for IoT—such as WiFi, Zigbee/Zwave, Bluetooth, and ANT+—and guidance on when and where to utilize each.
Discussions cover Mobile/Desktop/Web apps for registration, data acquisition, and control, along with available M2M data acquisition platforms for IoT, such as Xively, Omega, and NovoTech.
Security issues and corresponding solutions for IoT are thoroughly examined.
Open-source and commercial electronics platforms for IoT, including Raspberry Pi, Arduino, and Arm Mbed LPC, are reviewed.
The course also covers open-source and commercial enterprise cloud platforms for AWS-IoT apps, Azure IoT, Watson IoT, and other minor IoT cloud services.
Case studies of the business and technology behind common IoT devices, such as home automation systems, smoke alarms, vehicles, military applications, and home health monitoring, are included.
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