IoT Training course is developed to introduce the concepts of different standards, functionalities, and technologies. All these concepts make you an expert in using IoT and grasp complete knowledge on its applications as well as connectivity methodologies.

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

 

IoT Training Curriculum
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 LE or Bluetooth Smart Technology
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
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

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