Introduction to Industrial internet of things(IIoT)
Published 8/2025
Duration: 5h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.42 GB
Genre: eLearning | Language: English
Published 8/2025
Duration: 5h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.42 GB
Genre: eLearning | Language: English
Learn Industrial IoT (IIoT)
What you'll learn
- Understand the core concepts of Industrial IoT (IIoT) and its role in smart manufacturing and Industry 4.0.
- Learn how sensors and actuators work to monitor and control industrial systems.
- Explore different connectivity methods like MQTT, OPC-UA, and industrial Ethernet used in industrial environments.
- Gain hands-on knowledge of data acquisition, filtering, and processing in real-time applications.
- Get industry-relevant skills that combine hardware, software, networking, and security in IIoT environments.
Requirements
- No prior knowledge required. (We start from scratch)
Description
This course provides a complete overview of Industrial IoT (IIoT) and its role in modern manufacturing. It covers how industrial systems collect, transfer, process, and protect data using technologies like sensors, cloud platforms, and cybersecurity tools.
You will begin with the basics of IIoT and gradually explore advanced topics such as edge computing, data management, cloud services, and protection against cyber threats.
The course is ideal for engineering students, working professionals, and beginners interested in Industry 4.0.
What You’ll Learn
How sensors and devices collect real-time industrial data
How IIoT systems communicate over networks
How edge and cloud platforms manage and store data
How cybersecurity protects connected industrial systems
Real-world tools and examples used in smart factories
Course Modules
Module 1: Introduction to IIoTBasics of Industrial IoT, key components, and industrial applications.
Module 2: Sensors and ActuatorsHow sensors collect data and actuators perform actions in industrial environments.
Module 3: Connectivity & CommunicationWired and wireless communication methods including MQTT, OPC-UA, and Ethernet.
Module 4: Data Acquisition & ProcessingTechniques for collecting, filtering, and analyzing sensor data.
Module 5: Edge ComputingIntroduction to edge computing, use cases, and comparison with cloud computing.
Module 6: Cloud Computing in IIoTCloud services (IaaS, PaaS, SaaS), deployment models, data storage, and privacy.
Module 7: Cybersecurity in IIoTCommon threats, security protocols, vulnerability analysis, and real-world case studies.
Who Should Join
Students in engineering or technology fields
Professionals working in manufacturing or automation
Beginners looking to enter the Industry 4.0 space
Who this course is for:
- Engineering and diploma students (Mechanical, Electrical, Electronics, CS/IT)
- Beginners curious about IIoT, Cloud, and Smart Manufacturing
- Industry professionals looking to upskill in Industry 4.0 technologies
- Anyone interested in the future of connected and secure industrial systems
More Info