Length: 2 Days
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IoT Essentials, Internet of Things Essentials

IoT Essentials, Internet of Things Essentials  a 2-day training course targets business, networking and IT professionals who wish to gain critical skills in IoT technology including fundamentals of IoT, strategies for planning and implementation, IoT products and services, rand IoT implementation with 5G.

Participants will learn about IoT technology trends, deployments and convergence.

Who Should Attend

This course is designed for engineers, scientists, technicians, business professionals, non-engineers and managers in IoT planning, selling, development, analysis, test & evaluation and operations.

What You Will Learn

  • Basic IoT definitions and concepts
  • IoT services, products, segments, revenue model, requirements, standards, and implementations
  • IoT implementation
  • Foundational tools for IoT engineering

Course Content

Basics of IoT

  • IoT 101
  • IoT services and customer segments
  • B2C vs. B2B application
  • Industrial IoT
  • Industry 4.0 and IoT
  • IoT applications
  • IoT standards
  • IoT enabling technologies
  • IoT architecture
  • Applications, hardware, sensors, Systems-on-a-Chip, firmware, device drivers, application software, connectivity, cloud, and security
  • Role of wired and wireless communication
  • IoT and LTE/5G communication and networking protocols
  • Big data and analytics
  • Security

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
  • 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
  • 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

IoT 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

IoT Implementation

  • 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

 

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