Predictive Maintenance: Basics

Yes. This is a free online self-paced course designed for beginners.

No. The course is beginner-friendly, though basic understanding of machines can be helpful.

You will learn how predictive maintenance works, including equipment monitoring, condition monitoring, data analysis, failure prediction, and real-world industrial applications.

Students, beginners, engineers, technicians, and professionals from various backgrounds can join.

Yes. Learners receive an e-Certification after completing the course.

Predictive maintenance is a data-driven approach that helps predict equipment failures before they occur, so maintenance can be planned in advance.

Yes. Engineering students from mechanical, electrical, industrial, manufacturing, and technology backgrounds can benefit from understanding predictive maintenance basics.

The Predictive Maintenance: Basics course is designed as a 2–3 week online self-paced course.

Yes. The course introduces the role of AI and IoT in smart maintenance, industrial monitoring, and Industry 4.0 systems.

The course explains maintenance types, sensor data, condition monitoring, failure prediction, benefits, challenges, and industrial use cases in simple language without requiring prior predictive maintenance knowledge. The Predictive Maintenance: Basics course provides a simple and structured introduction to how data-driven approaches are used to monitor equipment and predict failures. It is an ideal starting point for learners interested in industrial AI, smart manufacturing, and maintenance analytics.