Smart Manufacturing: IoT Training for the Future of Industry
About This Course
Smart Manufacturing: IoT Training for the Future of Industry is a 2-day accelerated hands-on training that introduces participants to Industrial Internet of Things (IIoT) technologies used in smart factories. This course focuses on integrating sensors, edge devices, and cloud-based platforms to enable predictive maintenance, real-time monitoring, and production optimization—key elements of Industry 4.0 transformation.
Course Duration
2 Days
Exam
Multiple-choice
Access Mode
Physical
Certification Validity
Lifetime
Modules Included
IIoT Foundations and Data Collection
Real-time Dashboard and Sensor Integration
Predictive Maintenance and Anomaly Detection
KPI Visualization and Smart Factory Simulation
Edge Deployment and Industrial Cybersecurity Best Practices
Top Job Roles
Manufacturing Engineer
Industrial Automation Engineer
Digital Transformation Specialist
Maintenance Manager
Smart Factory Consultant
Engineering Student in Industrial Technology
What kind of job can I get after this training?
This course prepares you for technical roles in smart manufacturing, including IIoT engineer, automation technician, and smart factory system integrator. It also supports leadership roles in digital transformation and operational efficiency.
Do I need coding or electronics experience?
Basic technical familiarity is helpful, but not mandatory. The course includes guided, beginner-friendly labs using open-source hardware and software.
Will I learn how to build a working factory prototype?
Yes. Participants will complete a hands-on mini project to simulate a smart factory environment using IIoT devices and dashboards.
Can I use this training for real-world deployment?
Absolutely. The course emphasizes practical implementation using open-source platforms like Node-RED, ThingsBoard, or Grafana, and supports cloud or on-premise integration.
Certification Benefits
Industry-relevant skills in smart manufacturing and IIoT
Ability to build real-time monitoring systems and predictive models
Increased efficiency and scalability using open-source tools
Hands-on project portfolio for career advancement or implementation
