
This specialized online program is designed for professionals in the mining, energy, oil & gas, and manufacturing sectors. It provides advanced training in modern maintenance strategies, asset reliability metrics, and condition monitoring techniques. You will explore how Artificial Intelligence (AI) and machine learning can be applied to fault detection, anomaly analysis, and predictive maintenance, using real-time data from various industrial systems. The course is structured to offer practical insights and skills applicable to real-world engineering challenges.
The course is divided into 6 modules covering a wide range of topics for comprehensive practical coverage in plant maintenance strategies and AI-driven predictive technologies.
Refer to the EIT Fees page for details on payment methods, terms & conditions, and additional non-tuition fees.
The Professional Certificate of Competency in Advanced Plant Maintenance and AI-Driven Predictive Technologies is 6 weeks long, requiring a time commitment of 5-8 hours per week.
The next intake for this professional certificate program is in August 2026. Please check the course schedule or contact EIT for future offerings.
To apply, first make an enquiry with EIT and check the course schedule. You must book your place at least one week before the course start date to secure your spot.
To obtain the certificate, students must achieve a 65% attendance rate at live webinars (or submit recording summaries), a 60% mark in assignments (with resubmission options), and a 100% score on quizzes (with resubmission available).
This course equips you with advanced skills in plant maintenance and AI-driven predictive technologies, enhancing your ability to optimize asset reliability and operational efficiency across various industrial sectors such as mining, energy, oil & gas, and manufacturing.