Predictive AI in Maintenance Application

Service Description

FXC Reference Number: STUS25402 Predictive maintenance powered by Artificial Intelligence (AI) is transforming how industries manage equipment health, detect failures, and optimise operational efficiency. Delivered by experts from Technological University of the Shannon (TUS), this one-day training provides a comprehensive introduction to the application of Predictive AI in maintenance, combining theoretical concepts with practical examples using Google Colab. This session is designed for professionals looking to understand how AI can enhance maintenance strategies, optimise operations, and reduce costs. What to Expect: This hands-on training session will cover: • The fundamentals of condition-based maintenance and its benefits for industrial applications. • How AI techniques such as machine learning are used to predict equipment failures. • Exploration of common algorithms and methods used in predictive maintenance. • Hands-on experience using Google Colab for data analysis and model development. • Case studies showcasing Predictive AI in maintenance across various industries. What You Will Gain: By the end of this training, you will: • Have a clear understanding of how AI enhances predictive maintenance strategies. • Be familiar with the basic workflow of developing predictive maintenance models. • Gain hands-on experience in applying machine learning techniques using Google Colab. • Understand key challenges and best practices in implementing AI-based predictive maintenance. • Be inspired to explore AI-driven solutions for predictive maintenance projects. Who is this for? • This training is designed for engineers, technicians, and professionals interested in Predictive AI for Maintenance. • No prior experience is required, though a background in Python, mathematics, and statistics is helpful. A Gmail account is required for Google Colab. Upcoming Courses Scheduled: The course is scheduled to take place at TUS Coonagh Campus, Limerick on: • 6th, 13th, and 20th of May 2025 9AM - 6PM • 3rd, 9th, and 17th of June 2025 9AM - 6PM. Please note that these dates are provisional and contingent upon meeting the minimum booking requirements. Session details to follow. #AIIntegration #AIPoweredInsights #ProfessionalDevelopment #Upskilling #TechnicalTraining #TrainingWorkshops