Course : Artificial Intelligence in Smart Maintenance

Course Outline

Day 1: Introduction to AI and Its Applications in Maintenance

• Fundamentals of AI and machine learning
• The digital transformation of maintenance
• Traditional vs. smart maintenance approaches
• Real-world applications of AI in industrial environments
• Industry case studies and benchmarks

Day 2: Predictive Maintenance and Data Analytics

• Core principles of Predictive Maintenance (PdM)
• Collecting data from sensors and IoT devices
• Data processing and big data analytics
• Machine learning for failure prediction
• Key performance indicators (KPIs) for smart maintenance

Day 3: Tools and Technologies for AI in Maintenance

• Common AI platforms and tools (e.g., IBM Maximo, SAP Predictive Maintenance)
• Predictive modeling and condition monitoring techniques
• Integrating AI with Computerized Maintenance Management Systems (CMMS)
• Evaluating predictive model performance
• Technical and operational challenges in AI adoption

Day 4: Advanced Applications in Smart Maintenance

• AI in spare parts and supply chain management
• Dynamic scheduling of maintenance activities
• Using computer vision to detect equipment anomalies
• Optimizing energy use through smart maintenance
• Comparative case studies: traditional vs. AI-based maintenance

Day 5: Implementing Smart Maintenance and AI Strategy

• Building a roadmap for smart maintenance transformation
• Change management and workforce training
• Measuring ROI and maintenance effectiveness
• Supporting sustainability through AI-driven maintenance
• Group workshop: Design a smart maintenance model for a facility

The Scandinavian Academy for Training and Development adopts the latest scientific and professional methodologies in training and human resource development, aiming to enhance the efficiency of individuals and organizations. Training programs are delivered through a comprehensive approach that includes:

• Theoretical lectures supported by PowerPoint presentations and visual materials (videos and short films).
• Scientific evaluation of participants before and after the program to measure progress and knowledge acquisition.
• Brainstorming sessions and practical role-playing to simulate real-life scenarios.
• Case studies tailored to align with the training content and participants work nature.
• Assessment tests conducted at the end of the program to evaluate the achievement of training objectives.

Each participant receives the training material (both theoretical and practical) in printed form and saved on a CD or flash drive. Detailed reports, including attendance records, final results, and overall program evaluations, are also provided.

Training materials are prepared professionally by a team of experts and specialists in various fields. At the end of the program, participants are awarded a professional attendance certificate, signed and accredited by the Scandinavian Academy for Training and Development.

Program Timings:

• 9:00 AM to 2:00 PM in Arab cities.
• 10:00 AM to 3:00 PM in European and Asian cities.

The program includes:

• A daily buffet provided during the sessions to ensure participants comfort.

Introduction:

The maintenance sector is undergoing a significant transformation through the adoption of Artificial Intelligence (AI), which enables organizations to predict failures before they occur, reduce downtime, increase equipment lifespan, and enhance operational performance. This course aims to equip participants with the knowledge and tools needed to implement AI-driven maintenance strategies for improved reliability and efficiency.

General Objective:

To provide participants with the skills and understanding required to apply AI technologies in predictive and preventive maintenance, optimize asset performance, and support data-driven decision-making in maintenance operations.

Objectives:

• Understand the fundamentals of AI and its relevance in maintenance.
• Distinguish between traditional, preventive, and predictive maintenance approaches.
• Use AI and machine learning techniques to forecast equipment failures.
• Apply digital platforms and tools for smart maintenance management.
• Improve spare parts management and reduce operational costs using AI.
• Develop AI-enabled maintenance plans that support efficiency and sustainability.

Target Audience :

• Maintenance Engineers
• Maintenance Managers
• Reliability Engineers
• Plant and Operations Managers
• AI and Data Science Engineers
• Quality and Production Engineers
• Digital Transformation Leaders in Industry

The Scandinavian Academy for Training and Development is committed to hosting all training programs in dedicated and well-equipped hotel facilities specifically designed for conducting and delivering training sessions, unless explicitly stated otherwise on our website. Participants will be notified of the program venue within 7 to 21 days prior to the programs start date, based on the Academys assessment and the programs circumstances. The Scandinavian Academy for Training and Development emphasizes that it holds no responsibility for any force majeure events that may prevent the program from being held at the designated venue. Nevertheless, the Scandinavian Academy for Training and Development will make every effort to provide suitable alternatives and extend the necessary support to participants in the event of a venue change due to unforeseen circumstances.