Home / Courses / Artificial Intelligence (AI) / Artificial Intelligence (AI) in Energy Transition: From Strategy to Implementation
Artificial Intelligence (AI)

Artificial Intelligence (AI) in Energy Transition: From Strategy to Implementation

The global energy landscape is rapidly evolving as governments and organizations accelerate their transition toward…

Code BII-AI012 5-Day Almaty, Istanbul, Mumbai, Online Online + Classroom
Overview

Course Description

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.

Objectives

What you will achieve

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
Training methodology

How the course is delivered

  • 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
Who should attend

Designed 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
Course outline

Daily programme

DAY 01Energy 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 02AI 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 03Smart 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 04AI 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 05Strategy, 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
Certificate

Certification & accreditation

BII Certificate of Completion

BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.

Schedule

Upcoming sessions

DatesVenueFormatFee
16 - 20 Nov 2026 Almaty Classroom US$ 5950 Register
22 - 26 Feb 2027 Mumbai Classroom US$ 5950 Register
05 - 09 Apr 2027 Online Online US$ 5950 Register
11 - 15 Oct 2027 Istanbul Classroom US$ 5950 Register
Enrolment

Register, request in-house, or download the agenda

Choose an action and share your details — our team responds within one business day with dates, fees and the full programme.

Poster