In contrast to conventional technologies, the Internet of Things (IoT) presents a significantly higher level of complexity, spanning nearly every core engineering discipline including Mechanical Engineering, Electronics, Firmware development, Middleware, Cloud computing, Analytics, and Mobile technologies. Each engineering layer within the IoT ecosystem encompasses critical economic, standardization, regulatory, and cutting-edge technological aspects. For the first time, a comprehensive yet accessible course is offered to address all these vital dimensions of IoT Engineering.
Summary
This advanced training program explores the current state of the art in the Internet of Things.
It traverses multiple technology domains to build a holistic awareness of IoT systems, their components, and their strategic value to businesses and organizations.
Participants will engage in live demonstrations of model IoT applications, showcasing practical deployments across diverse industry sectors such as Industrial IoT, Smart Cities, Retail, Travel & Transportation, and use cases involving 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 enhance the efficiency of their systems and workflows.
Entrepreneurs and Investors seeking to establish new ventures and aiming to develop a deeper understanding of the IoT technology landscape to effectively capitalize on its potential.
Estimates for the Internet of Things (IoT) market value are substantial, as the IoT is defined as an integrated and pervasive layer of devices, sensors, and computing power that overlays consumer, business-to-business, and government industries. The IoT is projected to account for an increasingly vast number of connections: 1.9 billion devices today, rising to 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 sphere, including kitchen and home appliances, parking solutions, RFID technologies, lighting and heating systems, and various applications within the Industrial Internet.
While the underlying technologies of IoT are not entirely new—Machine-to-Machine (M2M) communication has existed since the dawn of the Internet—the landscape has shifted dramatically in recent years. This shift is driven by the proliferation of affordable wireless technologies and the widespread adoption of smartphones and tablets in households. The explosive growth of mobile devices has spurred the current demand for IoT solutions.
Given the unbounded opportunities in the IoT business sector, a significant 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 development and large-scale production of IoT systems increasingly affordable. Existing electronic product owners are now facing pressure to integrate their devices with Internet connectivity 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 the 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), Industrial Internet, healthcare, government sectors, mobile cellular networks, and more.
It provides a basic introduction to all core elements of IoT, including Mechanical systems, 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—such as WiFi, Zigbee/Zwave, Bluetooth, and ANT+—discussing when and where to utilize each technology.
It explores Mobile/Desktop/Web apps for registration, data acquisition, and control, highlighting available M2M data acquisition platforms for IoT like Xively, Omega, and NovoTech.
It addresses security issues and potential solutions for IoT environments.
It introduces open-source and commercial electronics platforms for IoT, including Raspberry Pi, Arduino, and Arm Mbed LPC.
It examines open-source and commercial enterprise cloud platforms for AWS IoT apps, Azure IoT, Watson IoT, and other minor IoT cloud services.
It includes studies on the business and technology of common IoT devices such as home automation systems, smoke alarms, vehicles, military applications, and home healthcare solutions.
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