Certificate of AIoT for predictive maintenance (13 hours, 2-day Certificate Course with examination)

 

Certificate of AIoT for predictive maintenance

(13 hours, 2-day Certificate Course with examination)

Course Outline

Part 1 - Introduction to Predictive Maintenance

- Overview of predictive maintenance and benefits
  (reduced downtime, increased productivity, lower costs) 

- Traditional reactive vs proactive maintenance approaches 

  (reactive = fix when breaks, proactive = prevent failures) 

- Key techniques used (vibration analysis, thermography, oil testing, etc.) 

Part 2 - Enabling Technology for Predictive Maintenance

- Role of sensors in collecting data for analysis 

  (temperature, pressure, vibration, acoustic, etc.)

- Importance of network connectivity and data analytics platforms

- How AI and machine learning power predictive analytics and insights

- Examples of AI models used 

  (supervised vs unsupervised learning, regression vs classification)

Part 3 - Benefits of AIoT for Predictive Maintenance

- Massive amounts of data from AIoT sensors enables exhaustive analysis (detect subtle changes) 

- Personalized recommendations based on historical performance data 

- Anomaly detection using machine learning 

  (detect when equipment deviates from normal operation) 

- Predictive forecasts of time to failure and ideal repair or replacement window 

- Optimization of maintenance schedules and budget based on AI generated insights 

- Reduction in unplanned downtime through AI driven predictive alerts and notifications 

Part 4 - Best Practices for Implementing AIoT Predictive Maintenance

- Selecting the right sensors and AI/ML models for your equipment and needs 

- Integrating data from multiple solutions and systems for comprehensive monitoring 

- Establishing a consistent and automated approach to data collection, 

  analysis and insights generation 

- Training models on high volume, high quality data to ensure maximum accuracy 

- Providing flexible and customized recommendations based on client specific requirements 

- Ensuring seamless human oversight and guidance of AI systems where needed 

- Optimizing tactics over time through experience, feedback, and continuous learning 

Part 5 - Summary and Conclusion

- Recap of key benefits of predictive maintenance and AIoT 

- Looking ahead at future potential, emerging technologies and use cases 

- Call to action for companies to adopt AIoT predictive maintenance at scale for real advantages 

Registration Details

Course Dates:        Schedule to be announced very soon

Language:              Cantonese (with English course materials)

Time:                      10:00 am ~ 5:30 pm

Venue:                    Venue to be announced very soon

Target Audience:   IT / Data Center Operations / Facilities Managers, Data Center Design                                                    Consultants, E&M Engineers, System Architects (Infrastructure), etc.

Fee:                         HK$12,000 per head (10% Early Bird Discount Available)

Enrollment:            Application Form

Certification:          Completion certificate can be granted upon pass in examination.

Should you have any enquiry, please feel free to contact (852) 2117 3893 / info@stmedia-asia.com. Kindly visit our website (www.stmedia-asia.com) for other technical training seminars.