Course Schedules

Classroom 4 Sessions
Online / Live
Live

No dates scheduled

Introduction

The global energy landscape is rapidly evolving as governments and organizations accelerate their transition toward low-carbon and sustainable energy systems. This transformation introduces new levels of complexity, driven by the integration of renewable energy sources, decentralized power generation, and increasing regulatory and environmental pressures. In this context, Artificial Intelligence (AI) is emerging as a critical enabler, offering powerful tools for predictive analytics, automation, optimization, and real-time decision-making.

This training course is designed to equip professionals with the knowledge and practical insights needed to leverage AI in supporting energy transition initiatives. It explores how AI can enhance operational efficiency, improve energy forecasting, enable smarter grids, reduce emissions, and support strategic decision-making. Participants will gain a clear understanding of how to move from AI strategy to real-world implementation across the energy value chain.

What are the Goals?

By the end of this training course, participants will be able to:

  • Understand the role of AI in accelerating the energy transition 
  • Identify key AI technologies and their applications in energy systems 
  • Apply AI techniques for energy forecasting, optimization, and efficiency 
  • Evaluate AI use cases in renewable energy, smart grids, and asset management 
  • Develop AI-driven strategies aligned with sustainability and net-zero goals 
  • Address challenges related to data, governance, and AI implementation 
  • Design practical AI implementation roadmaps for energy projects 

Who is this Training Course for?

This training course is suitable for:

  • Energy sector professionals (oil, gas, power, and renewables) 
  • Engineers and technical specialists involved in energy systems 
  • Sustainability and ESG professionals 
  • Digital transformation and innovation managers 
  • Data analysts and IT professionals in the energy sector 
  • Policy makers and regulators 
  • Project managers and decision-makers involved in energy transition initiatives 

How will this Training Course be Presented?

This training course will be delivered through a combination of:

  • Interactive lectures and expert-led discussions 
  • Real-world case studies from global energy projects 
  • Group exercises and practical workshops 
  • AI use-case simulations and demonstrations 
  • Knowledge assessments and scenario-based learning 

Course Content

Day 1

Day One: Energy Transition and AI Fundamentals

  • Global energy transition trends, drivers, and challenges 
  • Introduction to Artificial Intelligence, Machine Learning, and Data Analytics 
  • Role of AI in decarbonization and sustainability initiatives 
  • Overview of AI applications across the energy value chain 
  • Data requirements and digital infrastructure for AI in energy 
Day 2

Day Two: AI Applications in Renewable Energy and Forecasting

  • AI for solar and wind energy forecasting and optimization 
  • Predictive analytics for energy demand and supply 
  • Integration of renewable energy into power systems using AI 
  • AI-driven energy storage optimization and battery management 
  • Case studies: AI in renewable energy projects 
Day 3

Day Three: Smart Grids and Intelligent Energy Systems

  • AI in smart grids and digital energy networks 
  • Real-time monitoring and intelligent control systems 
  • Demand response and energy efficiency using AI 
  • IoT, sensors, and data platforms in energy systems 
  • Cybersecurity and resilience in AI-enabled energy infrastructure 
Day 4

Day Four: AI for Asset Management and Operational Excellence

  • Predictive maintenance and asset performance management 
  • AI in oil & gas operations and process optimization 
  • Reducing downtime and improving operational reliability 
  • Digital twins and simulation models in energy systems 
  • Cost optimization and efficiency improvement using AI 
Day 5

Day Five: Strategy, Governance, and AI Implementation

  • Developing AI strategies for energy transition initiatives 
  • AI governance, ethics, and regulatory considerations 
  • Managing risks and challenges in AI adoption 
  • Building AI capabilities and organizational readiness 
  • Designing AI implementation roadmaps and action plans

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
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