Predictive Maintenance/IoT Analyst

About This Course

A Predictive Maintenance/IoT Analyst in the manufacturing industry focuses on using sensor data and analytics to predict equipment failures and optimize maintenance schedules. This course equips learners with the skills to analyze machine data, monitor KPIs such as downtime, failure rates, and equipment health, and build models for predictive maintenance. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards, along with exposure to IoT data and basic analytics techniques. The program emphasizes condition monitoring, predictive analytics, and process optimization in smart manufacturing environments. Learners will understand how to reduce unplanned downtime, extend asset life, and improve operational efficiency. By the end of the course, they are prepared for roles in maintenance and IoT analytics, with career progression into smart manufacturing, operations strategy, and digital transformation leadership positions.

Key Responsibilities

• Monitor machine health using IoT sensors
• Analyze equipment performance data
• Develop predictive maintenance models
• Detect anomalies and failure patterns
• Implement condition monitoring systems
• Create maintenance dashboards and reports
• Collaborate with maintenance and production teams
• Optimize asset reliability and uptime
• Recommend preventive actions to reduce downtime
• Support Industry 4.0 and smart factory initiatives

Growth Path

Tools Used

Perfect For

Engineering Graduates (Mechanical, Electrical, Electronics) | Data Analytics Enthusiasts | Manufacturing Professionals Interested in Industry 4.0 | Maintenance Engineers Seeking Digital Skills | Professionals Interested in Smart Factory Technologies

Fee Structure