Industrial AI, Digital Twins and Data Science

• Real Time Online Delivery – Live Training Sessions
• Virtual Attendance for 4 Days Training
• Guided Learning Hours – 16 (4 Hrs x 4 Days)
• Comprehensive Learning Kit

Course Overview:

This 4 Day online executive program provides a comprehensive overview of the technologies, frameworks, and best practices shaping the future of maintenance, reliability, and asset management.

The total 16hrs sessions will give participants a structured understanding of how Reliability Engineering serves as the foundation for modern maintenance excellence, how Condition-Based Maintenance (CBM) and Prognostics & Health Management (PHM) support proactive decision-making, how Digital Twins create operational intelligence across the asset lifecycle, and how Industrial AI is transforming maintenance and reliability practices.

Trainer’s Profile:

Our Expert is a Full Professor in the Division of Operation and Maintenance Engineering at Luleå University of Technology (LTU), where he significantly contributes to the fields of maintenance, reliability, and industrial technologies. Additionally, he serves as the Research & Technology Director at Sisteplant (Spain), specializing in predictive maintenance solutions and condition monitoring.

Our Trainer has played a crucial role in coordinating numerous European projects, emphasizing cyber-physical systems, Industry 4.0, IoT, and Industrial AI and Big Data. His collaborative efforts with the Swedish industry and national agencies, including Vinnova, have advanced maintenance technologies and practices. These projects often involve multi- disciplinary teams and international partners, reflecting Dr. Galar’s ability to lead complex research initiatives.

Key Takeaways:

This program has been designed to help maintenance, reliability, asset management, and digital transformation professionals understand how modern engineering practices and emerging technologies can be combined to create measurable business value. Rather than focusing on isolated technologies or theoretical concepts, the course provides a practical framework for understanding how Reliability Engineering, Condition-Based Maintenance (CBM), Prognostics & Health Management (PHM), Digital Twins, Industrial AI, and Asset Performance Management work together to support operational excellence.

Who Should Attend:

Job Titles:

• Maintenance Managers
• Reliability Engineers
• Data Scientists & Industrial Analytics Professionals
• MRO Specialists, CBM Leads and Condition Monitoring Specialists
• AI and ML Engineers
• Asset Management Professionals

Job Industries:

• Oil & Gas, Petrochemical and Chemical Industries
• Manufacturing and Industrial Production
• Transportation & Energy
• and sectors focused on Asset Reliability, Maintenance & Reliability, Utilities and Water Infrastructure and MRO optimization.