Classroom
14 sessionsOnline / Live
14 sessionsIntroduction
Course overview
Course Introduction
The training course designed to help the Utility industries in the use and implementation of AI.
Despite its ubiquity and hype, as well as wide media coverage, not everyone understands what AI actually means, and it is specifically AI the capacity of machines and computers to mimic human behavior. However, underneath that big umbrella definition, are machine learning technologies and sophisticated algorithms that help machines and computers work smarter and more effectively and combined with human imagination and intervention achieve significant breakthroughs.
This training course is designed to prepare the delegates for the use of AI within the utility industry and implement tools, techniques, algorithms and software allowing for the AI implementation and upgrading Utility industry with digital twins and prepare them for the Utility demands and solutions for the future.
This training course will feature:
AI to help transform utility operations,
AI influence in customer relationships
Business models change and adaptation rough AI
AI use to manage the large and accelerating influx of distributed energy resources
Utility industry use of AI to take advantage of customer interest in deeper engagement
Training Objectives
By the end of this training course, participants will be able to:
Understand how to implement AI in Utility Industry
Explain how to imitate human in clustering and classification
Understand how to design a Machine Learning based applications
Analysis and Design AI Applications
Learning how to analyze daily business problems and create Artificial Intelligence solutions
Training Methodology
This training will utilize a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes theoretical presentation of the concepts, but the emphasis will be on the exercises performed by the delegates with the guidance of the instructor. The delegates will be “learning by doing” as the course is designed for them to use the software on the real problems and real data applying each of the techniques themselves. Delivery will be by presentation, group syndicate investigations, training e-manual and interactive seminars, as well as group discussion on the results of the exercises. Delegates will be presented with a theory, as well as pseudocode and practicing solutions of the problems.
Who should Attend?
This training course is suitable to a wide range of professionals but will greatly benefit:
CEOs,
CTOs, CIOs and Engineers,
Data Scientists, Data Analysts,
Statisticians and technology personnel,
Marketing and research specialists,
IT Engineers,
Junior Engineers and Graduates who wish to understand the core of Business Analysis
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
AI Fundamentals and Data Analysis
- Overview of AI
- AI in the Utility Industry
- Coffee break
- AI in the Utility Industry (continued)
- Data and AI
- Business Intelligence
Day 2
AI and the Evolution of the Utility Industry
- Evolution of the Utility Industry
- Generative AI in Utilities
- AI Fundamentals and Terminology
- Coffee break
- AI Fundamentals and Terminology (continued)
- AI’s Impact on Business and Decision-Making
- AI Applications in Utility Industry
Day 3
Machine Learning and Intelligent Agents
- Introduction to Machine Learning
- Classification and Clustering
- Artificial Neural Networks
- Coffee break
- Artificial Neural Networks (continued)
- Logic Reasoning and AI
- Unification and Deduction Processes
Day 4
AI for Operational Improvement in Utilities
- Customer Experience Enhancement
- Predictive Maintenance
- Risk Detection and Mitigation
- Coffee break
- Risk Detection and Mitigation (continued)
- Regulatory Compliance and Consensus
- AI for Distribution Planning
Day 5
AI for Sustainable Energy Management
- Integrating Alternative Energy Sources
- AI in Solar Energy
- AI in Wind Energy
- Coffee break
- AI in Wind Energy (continued)
- AI in Biomass Energy
- Energy Savings and Efficiency
FAQ
Frequently asked questions
What does AI Application for Utility cover?
This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 9 - 13 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
This programme is designed for professionals responsible for strategy, operations, transformation, or delivery leadership.
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Munich, Rome, Frankfurt, Kuala lumpur, Barcelona, London, Geneva.
How long is the training programme?
The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 training hours.
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