course | Industrial Internet of Things (IIoT) for Mechanical Engineers
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MEC-1670 | Industrial Internet of Things (IIoT) for Mechanical Engineers
Course Sector : Mechanical Engineering
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 2025-04-07 | 2025-04-11 | Milan | $4,950 | Book now |
| 5 Days | 2025-09-01 | 2025-09-05 | Dubai | $4,250 | Book now |
| 5 Days | 2025-10-06 | 2025-10-10 | Dubai | $4,250 | Book now |
Course Introduction
The Industrial Internet of Things (IIoT) is transforming industries by connecting physical machines to the digital world. For mechanical engineers, understanding IIoT is crucial to enhancing operational efficiency, reducing downtime, and improving predictive maintenance. As industries embrace smart technologies, IIoT enables real-time data collection and analysis, driving smarter decision-making and automation. Mechanical engineers equipped with IIoT knowledge can innovate designs and streamline processes that boost productivity and sustainability. This training program focuses on providing practical skills that will empower engineers to apply IIoT solutions in their daily operations.
This program will highlight key IIoT concepts and technologies, such as sensors, data analytics, and connectivity, and how they can be used to improve mechanical systems. Participants will learn about the integration of IIoT into manufacturing processes and how it supports predictive maintenance, asset management, and quality control. The course will also focus on cybersecurity, system integration, and the future of IIoT in the mechanical engineering sector. By the end of the program, participants will be prepared to optimize mechanical systems through IIoT technologies.
Course objective
- Understand the fundamental concepts and applications of IIoT for mechanical engineers.
- Gain knowledge of IIoT architecture, connectivity, and infrastructure.
- Learn how to utilize sensors and data collection methods for effective monitoring and analysis.
- Explore predictive maintenance strategies and their impact on operational efficiency.
- Understand IIoT security, system integration, and emerging technologies influencing the future of mechanical engineering.
Course Outline | 01 DAY ONE
Introduction to IIoT and its Importance for Mechanical Engineering
- What is IIoT?
- Differences between IIoT and traditional IoT
- IIoT in mechanical engineering
- Key components of IIoT systems
- Role of sensors in IIoT
- Benefits of IIoT in mechanical design
- IIoT applications in industries such as manufacturing, automotive, and energy
Course Outline | 02 DAY TWO
IIoT Infrastructure and Connectivity
- Overview of IIoT architecture
- Communication protocols for IIoT (e.g., MQTT, OPC-UA)
- Industrial networking technologies (e.g., Ethernet, Wi-Fi, Bluetooth)
- Importance of cloud computing and edge computing in IIoT
- Integration of legacy systems with IIoT platforms
- Wired vs. wireless connectivity in IIoT
- Role of gateways and hubs in IIoT systems
Course Outline | 03 DAY THREE
Sensors, Data Collection, and Monitoring in IIoT
- Types of sensors used in IIoT (temperature, pressure, vibration, etc.)
- How sensors are integrated into mechanical systems
- Data acquisition systems in IIoT
- Real-time monitoring and feedback loops
- Importance of accurate data for predictive maintenance
- Signal processing and data interpretation
- Managing sensor networks and ensuring data integrity
Course Outline | 04 DAY FOUR
Predictive Maintenance and Condition Monitoring
- Understanding predictive maintenance in IIoT
- Tools and techniques for predictive analytics
- Condition-based monitoring systems
- Key performance indicators (KPIs) for IIoT-based maintenance
- Integrating machine learning for predictive analytics
- Case studies: Predictive maintenance in the field
- Benefits of predictive maintenance for cost savings and reliability
Course Outline | 05 DAY FIVE
Security, System Integration, and Future Trends
- IIoT security challenges and risks
- Best practices for securing IIoT systems
- System integration for seamless data flow
- Real-time analytics and decision-making in IIoT
- Trends shaping the future of IIoT (5G, AI, Digital Twins)
- Challenges in implementing IIoT solutions
- Future career opportunities in IIoT for mechanical engineers
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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