Professional training course
AI Application for Utility
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…
- 5 daysClassroom or online
- 13Upcoming dates
- 6Cities
- £2,250Fees from
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
Course outline
-
1Day One: AI Fundamentals and Data Analysis
- Overview of AI
- AI in the Utility Industry
- Data and AI
- Business Intelligence
-
2Day Two: AI and the Evolution of the Utility Industry
- Evolution of the Utility Industry
- Generative AI in Utilities
- AI Fundamentals and Terminology
- AI’s Impact on Business and Decision-Making
- AI Applications in Utility Industry
-
3Day Three: Machine Learning and Intelligent Agents
- Introduction to Machine Learning
- Classification and Clustering
- Artificial Neural Networks
- Logic Reasoning and AI
- Unification and Deduction Processes
-
4Day Four: AI for Operational Improvement in Utilities
- Customer Experience Enhancement
- Predictive Maintenance
- Risk Detection and Mitigation
- Regulatory Compliance and Consensus
- AI for Distribution Planning
-
5Day Five: AI for Sustainable Energy Management
- Integrating Alternative Energy Sources
- AI in Solar Energy
- AI in Wind Energy
- AI in Biomass Energy
- Energy Savings and Efficiency
Schedule
Dates and fees
13 upcoming dates in 6 cities. Fees are per delegate; bring colleagues and every seat is discounted. Every date can also be joined live online for £1,280.
No dates in this city right now. Request a quotation and we will suggest the nearest date.
Join the class in real time from your office or home: live sessions with the trainer, group discussion, course materials and a certificate of completion. Joining details are emailed before the course starts.
Questions
Frequently asked questions
How long is the AI Application for Utility course?
The course runs over 5 days of classroom training, usually Monday to Friday.
When is the next AI Application for Utility course?
The next public date is 14 - 18 Dec 2026 in Rome. There are 13 upcoming dates in total.
Where is this course held?
Upcoming sessions run in Rome, Frankfurt, Kuala Lumpur, Barcelona, London, Geneva.
Can I take AI Application for Utility online?
Yes. Every date can also be joined live online in a virtual classroom with the trainer, for £1,280 per participant. Choose "Live online" in the dates table when you register.
How much does the course cost?
Fees start from £2,250 per delegate, depending on the city. Fees include tuition and course materials.
Do participants receive a certificate?
Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.
Can this course be delivered in-house for our team?
Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.
Course information last updated 14 November 2026.
Related
More Digital Innovation and Transformation courses
Agentic AI for Business: Designing, Deploying and Governing AI Agents
Next: 16 - 20 Nov 2026 · Munich
Munich, Barcelona, Rome +2 more
AI in e-commerce: Mastering Dynamic Pricing and Market Analysis
Next: 16 - 20 Nov 2026 · Munich
Munich, Vienna, Rome +7 more
AI Innovations in Healthcare: From Detection to Treatment
Next: 16 - 20 Nov 2026 · London
London, Munich, Amsterdam +5 more