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Machine Learning and Data Management in the Energy Industry

Harnessing Artificial Intelligence to Transform Energy Systems for a Sustainable Future

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Course Schedule

15-19 Dec 2025

London

$5,950

10-14 Aug 2026

Dubai

$5,950

14-18 Dec 2026

London

$5,950

Course Overview

The Machine Learning and Data Management in the Power and Energy Industry Course explores how artificial intelligence (AI) and big data are reshaping modern energy systems into intelligent, adaptive, and sustainable networks. As the global demand for clean and reliable energy continues to rise, the ability to harness data-driven insights and predictive analytics has become essential for maintaining stability, resilience, and efficiency.

This course provides participants with a deep understanding of how machine learning (ML) and AI technologies can optimize forecasting, improve grid reliability, and enhance energy resource management. Learners will explore real-world applications—from predictive maintenance and operational optimization to smart energy planning and neural network implementation—demonstrating how intelligent systems can revolutionize decision-making in the energy sector.

By integrating data management and AI-driven modeling, participants will gain the ability to build sustainable energy ecosystems capable of adapting to changing market conditions and future energy demands.

What are the Goals?

The Machine Learning and Data Management in the Power and Energy Industry Course empowers participants to utilize artificial intelligence and data-driven technologies to improve performance, optimize operations, and achieve sustainability goals within the power and energy domain.

By completing this course, participants will gain the ability to:

Apply machine learning models for forecasting, energy planning, and demand prediction.
Integrate AI tools to enhance grid management, energy distribution, and operational decision-making.
Implement data management frameworks for effective energy system analysis.
Identify patterns and predict system behaviors through neural network modeling.
Improve energy system resilience and sustainability using intelligent modeling and analysis.
Address data quality, governance, and performance challenges in energy operations.
Utilize AI applications for smart grids, renewable energy integration, and performance monitoring.
Develop adaptive strategies for efficient energy production and resource utilization.

Who is this Training Course for?

This course is designed for energy engineers, power system professionals, data scientists, and decision-makers seeking to leverage AI and machine learning to modernize energy operations. It is particularly valuable for energy development specialists, compliance officers, researchers, and senior managers involved in energy planning, sustainability, or digital transformation initiatives.

Professionals working in power generation, transmission, industrial facilities, and refineries will benefit from understanding how intelligent systems can enhance operational resilience, efficiency, and adaptability. The course also suits technologists and innovators looking to apply data science to solve complex energy management challenges.

How will this Training Course be Presented?

The Machine Learning and Data Management in the Power and Energy Industry Course combines conceptual learning with applied technical practice. Through interactive workshops, data-driven case studies, and group discussions, participants will explore the real-world impact of AI on energy production, management, and sustainability.

The course emphasizes practical implementation—introducing participants to machine learning algorithms (KNN, SVM, Naïve Bayes, Adaboost, and JRip) and demonstrating their use in energy forecasting, smart grid design, and power stability analysis. Learners will also explore how AI-driven analytics can support microgrid development, intelligent load management, and renewable energy integration.

Course Outline

Day 1

Energy data management
Data management framework for energy systems
Working in unison with available Big Data
Expanding the view through the use of AI
AI systems in use for energy planning

Day 2

Pattern recognition for needs of energy
Smart Grids with the use of AI
Machine Learning techniques for energy demand
Establishing a structural AI system in Energy Industry
Complexity of energy requirements with introduction of renewable energy

Day 3

KNN
SVM
Naïve Bayes
State Path Algorithm
OneR
JRip
Adaboost

Day 4

Sustainability triangle
Microgrids
System Performance Parameters
Increasing resilience with the use of AI
Focus on Intelligent Modelling and Analysis

Day 5

Examples of AI for smart energy
Intelligent Approach for Load Frequency Control
Power System Analysis
Power System Stability Analysis and Improvement
Issues and recommendations

Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

Would you like to take this course as a team?

Frequently Asked Questions

What types of training courses does AI Academy offer?

AI Academy offers a wide range of specialized training courses focused on Artificial Intelligence and emerging technologies. Our courses cover areas such as Machine Learning, Data Science, AI in Business Strategy, Digital Transformation, and Automation, designed to help professionals enhance their technical and strategic capabilities.

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Our courses are open to professionals at all career levels — from beginners seeking to understand AI fundamentals to senior executives aiming to integrate AI into organizational strategy. Each course clearly outlines the ideal participant profile to help you choose the best fit for your goals.

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You can easily register through our website by selecting your preferred course and completing the online registration form. Once your registration is confirmed, you’ll receive a confirmation email with course details, venue or online access information, and next steps.

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Yes. AI Academy offers both online and classroom-based courses to provide flexibility and convenience. The mode of delivery depends on the specific course and its learning objectives, ensuring participants receive an engaging and effective learning experience.

Will I receive a certificate after completing a training course?

Yes. Upon successful completion of any AI Academy training course, participants receive an official Certificate of Completion, recognizing their professional development and newly acquired AI competencies.

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