Price: $2,999.00

Length: 3 Days
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IoT Training Crash Course

The Internet of Things is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

Many credit the idea of the Internet of Things to computer scientist Mark Weiser. In 1988, Weiser, then chief technical officer for Xerox PARC, coined the term “ubiquitous computing,” which he described as a world where objects of all kinds could sense, communicate, analyze and act or react to people and other machines autonomously. Furthermore, certain objects could do this in a manner no more intrusive or noteworthy than turning on a light or opening a water tap.

This idea has evolved into a technological architecture responsible for everything from self-driving cars and smart cities to wearables and smart grids.

In actuality, it’s not one technology but several that drive Weiser’s vision of the Internet of Things. These technologies include:

  • Sensors – A device that generates an electronic signal from a physical condition or event.
  • Networks – A mechanism for communicating an electronic signal.
  • Standards – Commonly accepted prohibitions or prescriptions for action.
  • Augmented Intelligence – Analytical tools that improve the ability to describe, predict and exploit relationships among phenomena.
  • Augmented Behavior – Technologies and techniques that improve compliance with prescribed action.

The advances in IoT networking are having profound effects on individual companies as well as entire industries. For example, Radio-frequency identification (RFID) is a scanning technology based on a reader and a tag with a microchip. The theory of operation is similar to that of a barcode, but the additional intelligence in RFID allows for individual devices or products to be tracked, as opposed to a single type of product or SKU using barcode technology.

Integrating this technology with the Internet of Things allows businesses to greatly improve the quality and transparency of the supply chain in a number of ways.

IoT Training Crash Course by Tonex

IoT Training Crash Course, Internet of Things Training course by Tonex, IoT Certification Track

Trying to visualize a world filled with autonomous cars and machines telling other machines what to do may be difficult. But that very different world of the future is fast approaching and those who aren’t prepared for it will be lagging far behind.

The Internet of Things (IoT) bridges the gap between the digital world and the physical world.

IoT Evolution

IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS), microservices and the internet. The convergence has helped tear down the silo walls between operational technology (OT) and information technology (IT), allowing unstructured machine-generated data to be analyzed for insights that will drive improvements.

Any stand-alone internet-connected device that can be monitored and/or controlled from a remote location is considered an IoT device. This could be anything from a child’s toy or smart thermostat to a driverless truck or a light bulb that can be switched on using a smartphone app.

IoT devices use a variety of methods to connect and share data. Homes and offices normally use standard wi-fi or Bluetooth Low Energy (or even Ethernet if they aren’t especially mobile). Other devices can use LTE or even satellite connections to communicate.

One likely trend is that, as the IoT develops, it could be that less data will be sent for processing in the cloud. To keep costs down, more processing could be done on-device with only the useful data sent back to the cloud — a strategy known as “edge computing.”

The IoT Training Crash Course covers what the IoT is about, technology trends, deployments and convergence. Learn how to work with Building Connected Devices, Sensors, Automation, Network Interconnection, System Security, Cybersecurity, Data Analytics and more.

IoT Training Course attendees will learn about the dynamics of the IoT markets, technology, trends, planning, design and the convergence of platforms and services, with a special focus on the product design, architecture and implementation.

Course Content

What is the Internet of Things (IoT)

  • Concepts and Definitions of The Internet of Things (IoT)
  • History of IoT
  • Applications
  • IoT standards
  • Requirements
  • Functionalists and structure
  • IoT enabling technologies
  • IoT Architecture
  • Major component of IoT
  • Hardware, sensors, Systems-on-a-Chip, firmware, device drivers, application software, connectivity, cloud, and security
  • Role of wired and wireless communication
  • IoT communication and networking protocols
  • IoT services and applications
  • Big data and analytics
  • Security
  • Cloud Computing and the Internet of Things
  • Semantic Web 3.0 Standard for M2M and IoT
  • IoT Platforms
  • Challenges of adapting the concepts

Overview of IoT Connectivity Methods and Technologies

  • Wireless 101
  • RF 101
  • ZigBee PRO, ZigBee 3.0 and ZigBee IP
  • 6LowPAN
  • RFID
  • Bluetooth and BLE (BT5.0)
  • Z-Wave
  • Home Automation (HA) Profile
  • Smart Energy (SE) Profile
  • Health Care
  • IEEE 802.15.4, IEEE 802.15.4e, 802.11ah
  • 802.11ah, Wi-Fi HaLow
  • Relay Access Point (AP)
  • Grouping of stations
  • Target Wake Time (TWT)
  • Speed Frame Exchange
  • Sectorization
  • GSM, CDMA, GPRS,3G, LTE, small cells, SATCOM
  • LTE and 5G
  • Sensors and sensor networks
  • Serial communication
  • Power consumption and optimization
  • MIPI, M-PHY, UniPro, SPMI, BIF,  SuperSpeed USB Inter-Chip (SSIC), Mobile PCIe (M-PCIe) and SPI
  • Wired connectivity
  • IPv4/IPv6
  • Ethernet/GigE
  • Real-time systems and embedded software
  • Big data
  • Analytics
  • Cloud computing and storage
  • Augmented Reality

Evaluation of IoT

  • Platforms
  • Mobile integration
  • Deployment
  • Data Visualization
  • Convergence with Social Networks
  • Value chain and Business models
  • User centric cloud based services
  • Analytical Hierarchy Process for technology selection
  • End-to-end security
  • Integration with IT systems
  • Cost/benefit constraints
  • End-to-end compatibility
  • Application Architecture
  • Lifecycle solution management
  • Real-time response and delay
  • IoT and Blockchain
  • IoT Modeling and Simulation
  • Programming the Internet of Things (IOT)
  • IoT (Internet of Things) Wireless & Cloud Computing
  • Industrial IoT on Cloud Platforms
  • Architecting Smart IoT Devices
  • Internet of Things and Embedded Systems
  • IoT and Embedded Hardware
  • IoT Python Programming for The Raspberry Pi Platform
  • Emerging IoT and Big Data Technologies


IoT Training Crash Course

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