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An Interactive 5-Day Training Course

Artificial Intelligence (AI) for Process Optimization

Use of AI for Data Analysis in Maintenance Management

Schedules Introduction Objectives Training Methodology Organisational Impact Personal Impact Who should Attend? Outline

Classroom Schedule

Date	Venue	Fees
06 - 10 Oct 2025	Dubai - UAE	$ 5,950
15 - 19 Dec 2025	Barcelona - Spain	$ 5,950
02 - 06 Feb 2026	Dubai - UAE	$ 5,950
04 - 08 May 2026	London - UK	$ 5,950
10 - 14 Aug 2026	Amsterdam - The Netherlands	$ 5,950
05 - 09 Oct 2026	Dubai - UAE	$ 5,950
14 - 18 Dec 2026	Barcelona - Spain	$ 5,950

Introduction

This training course on Artificial Intelligence (AI) for Process Optimization covers essential aspects of process modelling and optimization and applications of AI techniques. It covers an overview of process optimization and fundamentals of Artificial Intelligence (AI). This includes data acquisition for process optimization, supervised learning for optimization, ERP and SCADA systems. It also includes introduction to machine learning (ML) and AI techniques such as Artificial Neural Networks (ANN), Fuzzy Logic Control (FLC), classification models and random forests..

Practical case studies will be presented to demonstrate the use of AI related techniques in order to utilize the data that exists in Enterprise Resource Planning (ERP), and Computerized Maintenance Management Systems (CMMS) and provide decision support for selection of the most appropriate maintenance strategies.

This GLOMACS Artificial Intelligence (AI) for Process Optimization training course will highlight:

Traditional maintenance vs. process optimization
The role of AI in process optimization
Integration with existing maintenance systems (CMMS, ERP)
Learning from Failures.
Challenges, Ethical Considerations, and Future Trends

Objectives

At the end of this training course, you will learn to:

Understand process optimization techniques.
Learn about ML and AI concepts and trends.
Design and develop methods of utilizing AI in the maintenance domain.
Analyze data and determine most appropriate maintenance polices and actions.
Apply and explain role of AI in process optimization.

Training Methodology

This training course on Artificial Intelligence (AI) for Process Optimization will utilize various proven learning methodologies to ensure full understanding of comprehension, retention, and ability to apply the knowledge presented. This includes tools and techniques, examples, case studies, and small groups activities.

Organisational Impact

Organizations will appreciate the benefits, costs, opportunities and threats of embracing AI within process optimization strategy. More specifically, organizations will greatly benefit from:

Use of AI technologies and its impact on increasing the profit within the organization.
Improved total operational effectiveness and efficiency.
Stronger and leading-edge competitive advantage.
Implement and improve critical thinking training skills.
Enhance digital transformation.

Personal Impact

This training course on AI for Process Optimization will empower you to leverage embracing AI in the maintenance field. More specifically, individuals will greatly benefit from:

Enhanced predictive and problem-solving capabilities.
Improved AI-driven decision analysis.
Optimized utilization of data collected in exiting ERP, SCADA and CMMS.
Sharpened learning and innovation capabilities.
Future-proofed career prospects.

Who should Attend?

The training course on AI for Process Optimization is ideal for professionals seeking to leverage AI for reliability engineering and maintenance management skills.

This GLOMACS Artificial Intelligence (AI) for Process Optimization training course is suitable to a wide range of professionals but will greatly benefit:

Process and Operations Engineering
Control Room Supervisors
Maintenance and Reliability Supervisors
Business leaders, directors and managers.
Data analysts, IT professionals

Course Outline

Day 1

Introduction to Process Optimization and AI Fundamentals

Overview of Process Optimization
What is process optimization?
Key optimization objectives: efficiency, cost reduction, quality improvement
Traditional vs. AI-powered process optimization
Introduction to AI, machine learning (ML), and deep learning (DL)
Overview of supervised, unsupervised, and reinforcement learning
Key AI algorithms for optimization problems (e.g., genetic algorithms, simulated annealing)
AI's role in real-time decision-making and dynamic process optimization

Day 2

Data Collection, Preprocessing, and Exploratory Data Analysis (EDA)

Data Acquisition for Process Optimization
Types of data in process optimization (sensor data, operational logs, performance metrics, etc.)
Data sources: IoT devices, enterprise systems (ERP, MES), historical process data
Data storage and integration (cloud, edge computing, databases)
Data Preprocessing and Exploratory Data Analysis (EDA)
Techniques for feature extraction and dimensionality reduction
Visualizing data for insights (correlation heatmaps, time-series plots)
Statistical methods to identify trends, anomalies, and patterns in process data

Day 3

Machine Learning Models for Process Optimization

Supervised Learning for Optimization
Classification models for defect detection and process anomalies (SVM, k-NN, random forests)
Key performance indicators (KPIs) and objective functions in optimization problems
Model evaluation: metrics, cross-validation, and bias-variance tradeoff
Unsupervised Learning and Clustering
Clustering methods for process optimization (k-means, hierarchical clustering)
Anomaly detection in unsupervised settings (Isolation Forest, DBSCAN)
Case study: Cluster analysis to identify process inefficiencies

Day 4

Advanced AI Techniques for Process Optimization

Reinforcement Learning for Dynamic Optimization
Introduction to reinforcement learning (RL) and its components (agents, environments, rewards)
Applications of RL in dynamic process optimization (supply chain, scheduling, energy systems)
Evolutionary and Swarm Algorithms
Genetic algorithms for optimization (crossover, mutation, selection)
Simulated annealing for solving global optimization problems
Particle swarm optimization (PSO) for complex process optimization tasks
Case study: Solving a complex multi-variable optimization problem using these algorithms

Day 5

Deployment, Monitoring, and Future of AI in Process Optimization

Deploying AI Models in real-world processes
Integration with existing process control and monitoring systems (SCADA, ERP, MES)
Real-time monitoring, feedback loops, and model updates
Scaling AI for industrial applications (cloud vs. edge deployment)
Challenges, ethics, and the future of AI in Process Optimization
Data privacy, security, and ethical considerations in process optimization
Common challenges: data quality, model interpretability, and implementation cost
The future of AI in process optimization: Industry 4.0, digital twins, and autonomous systems

Certificates

On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates.
Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.

Providers

Endorsed Education Provider

Frequently Asked Question:

GLOMACS offers both online andperson training options. You can choose from interactive virtual sessions or attend one of our globally locatedperson training courses. The flexibility ensures that learning fits your schedule and preferences.

Yes, GLOMACS provides customized training solutions tailored to meet the specific needs of organizations. We work closely with companies to design bespoke training courses that address their unique challenges and objectives.

Our courses are structured to provide a balanced mix of theory and practical application. They typically include presentations, case studies, group discussions,on activities, and interactive Q&A sessions to maximize learning outcomes.

For detailed information about specific courses, including course content, schedules, and instructors, you can visit our website or contact our customer service team. They will be happy to provide all the information you need to make an informed decision.

You can register for a GLOMACS training course by visiting our website, selecting the course of your choice, and following the simple registration process. You can also contact our support team for assistance with the registration process.

Attending a GLOMACS training course offers numerous benefits, including enhanced professional skills, increased employability,recognized certification, networking opportunities with peers and experts, and the chance to apply practical knowledge directly to your workplace.

GLOMACS is a globally recognized leader in professional training and development, with a reputation for deliveringquality,driven training courses. We offer a broad spectrum of training courses taught by expert trainers, flexible delivery options (both online andperson), and accredited certifications that add real value to your career.

Yes, upon successful completion of any of our training courses, GLOMACS Certificate will be awarded to the delegates. This certificate is a valuable addition to your professional portfolio and is recognized across various industries.

Options & Brochure

Related Categories

Artificial Intelligence (AI) Maintenance Management & Engineering AI Applications Instrumentation & Process Control

An Interactive 5-Day Training Course

Artificial Intelligence (AI) for Process Optimization

Use of AI for Data Analysis in Maintenance Management

Introduction

Objectives

Training Methodology

Organisational Impact

Personal Impact

Who should Attend?

Introduction to Process Optimization and AI Fundamentals

Data Collection, Preprocessing, and Exploratory Data Analysis (EDA)

Machine Learning Models for Process Optimization

Advanced AI Techniques for Process Optimization

Deployment, Monitoring, and Future of AI in Process Optimization

Endorsed Education Provider

Frequently Asked Question:

Accounting Training Courses in Dubai

Download Pdf

Download Request

An Interactive 5-Day Training Course

Artificial Intelligence (AI) for Process Optimization

Use of AI for Data Analysis in Maintenance Management

Introduction

Objectives

Training Methodology

Organisational Impact

Personal Impact

Who should Attend?

Introduction to Process Optimization and AI Fundamentals

Data Collection, Preprocessing, and Exploratory Data Analysis (EDA)

Machine Learning Models for Process Optimization

Advanced AI Techniques for Process Optimization

Deployment, Monitoring, and Future of AI in Process Optimization

Endorsed Education Provider

Frequently Asked Question:

Accounting Training Courses in Dubai

Course Registration

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