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Internet Of things (IOT) – Manufacturing

DIGTR-769

Course Code

5 Days

Duration

4

Upcoming Dates

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Sector Name

Digital Transformation and Innovation

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28 Dec 2026 | 01 Jan 2027
Dubai, UAE
$4,250
Limited Seats
04 Apr 2027 | 08 Apr 2027
Riyadh, KSA
$4,250
Upcoming
26 Apr 2027 | 30 Apr 2027
Dubai, UAE
$4,250
Upcoming
04 Oct 2027 | 08 Oct 2027
Rome, Italy
$4,950
Upcoming

Course Introduction

The Internet of Things (IoT) is revolutionizing the manufacturing industry by enabling smart devices and machines to collect, share, and act on data in real-time.
 

Through this program, participants will gain an in-depth understanding of how IoT technologies are transforming manufacturing operations, enhancing productivity, and optimizing processes.

Course Objectives

  • Define IoT and its role in manufacturing.
  • Identify key IoT technologies and components, including sensors, actuators, cloud services, and communication protocols.
  • Understand how IoT drives smart manufacturing and Industry 4.0.
  • Gain hands-on experience with various types of IoT sensors, such as touch sensors, temperature sensors, pressure sensors, and motion sensors.
  • Understand the concept of sensor fusion and its applications in IoT systems.
  • Configure and collect data from IoT sensors to monitor manufacturing processes.
  • Understand the role of embedded systems, robots, drones, wearables, and machine vision in IoT-enabled manufacturing.
  • Apply IoT-enabled devices for real-time process monitoring, inspection, and automation.
  • Explore the role of Edge Computing vs Cloud Computing in IoT.
  • Learn how IoT devices communicate via LAN, WAN, and other networking protocols.
  • Understand key network architectures such as smart gateways, edge/fog computing, and how to secure IoT networks.
  • Apply security protocols to ensure the safety and privacy of IoT deployments in manufacturing.
  • Understand the different cloud deployment models (public, private, hybrid) and how they relate to IoT.
  • Use IoT platforms (e.g., Microsoft Azure, IBM Watson IoT) for device management, data analytics, and application development.
  • Understand Big Data analytics in IoT and its role in predictive maintenance and real-time decision-making.
  • Use real-time data to implement predictive maintenance systems and minimize downtime in manufacturing operations.
  • Understand the use of RFID, GPS, and asset tracking for real-time monitoring in the manufacturing floor.
  • Explore the integration of IoT with ERP and MES systems for a seamless flow of data across business operations.
  • Gain insights into the future of IoT in manufacturing, including AI, machine learning, 5G, and autonomous systems.
  • Stay ahead of emerging trends like autonomous robots and smart factories powered by IoT.
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