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AI for energy business

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AI as a catalyst for transformation in the energy sector

In today’s rapidly evolving environment, many changes are subtle yet significant, presenting both opportunities and challenges that compel organizations to undergo continuous transformation. Within the energy sector, Artificial Intelligence (AI) plays a pivotal role in this evolution by enhancing operational efficiency, uncovering new business opportunities, and supporting informed decision-making.

 

When effectively implemented, AI can fundamentally change how energy is produced, distributed, and consumed, leading to a more sustainable and efficient future.

This program aims to provide a practical understanding of AI’s impact on the energy industry, focusing on both internal business transformations and broader value chain innovations. Participants will explore how AI contributes to operational improvements and the creation of new value within the energy ecosystem.

 

This course is offered in cooperation with InnoEnergy partner ESADE Business School

Overview

Course dates

New edition in 2027.

Registration period

To be announced in 2027.

Location

Online with live sessions.

Pre-requisites

Bachelor’s degree or equivalent body of knowledge

Effort level

60h (30h live sessions + 30h applied pre- & post-work)

Delivery

Online course offered one time per week (1.5h to 2h)

Learning format

Case-based, hands-on, collaborative

Certificate

Issued upon 80% attendance & participation

Tuition fees

The course is free for InnoEnergy Masters+ students. Limited spots may be available for alumni, academics, and industry participants. Contact: onlinelearning.mastersplus@innoenergy.com

Language

English

Who is this course for?

This course is designed for current InnoEnergy Masters+ students who aim to deepen their understanding of how Artificial Intelligence (AI) can drive business transformation within the energy sector. It is particularly beneficial for those interested in applying AI to enhance operational efficiency, develop new business opportunities, and make informed decisions in energy-related organizations.

What will you learn?

The programme will help you understand the value that AI can bring to business, with a focus on the energy sector.

By the end of the course, you will be able to:

  • Understand how AI creates business value in energy
  • Explore AI’s role in innovation, consulting, and operations
  • Apply real-world consulting methods to AI projects
  • Analyze and solve business problems using digital tools

How will you learn?

  • Eminently practical course
  • Expert teachers who have implemented AI will explain to you first-hand how they have done it
  • We will use real cases
  • We will develop a case in which we will apply the consulting methodology
  • The sessions will be 1.5 to 2 hours online, but the participants will prepare the sessions/cases to focus the sessions on collaborative learning

What will you achieve?

  • From taking the course, you will take away many real-world examples of using AI to add value to the energy ecosystem, reinforce customer management and improve operations.
  • You will have gained practical experience of posing a business problem and maximising the value of AI and Digitalization in Business services and operations.

Frequently Asked Questions

The course requires approximately 60 hours of total commitment, including 25 hours of live online sessions and 35 hours of applied work. Sessions are held once a week for 1.5–2 hours, with preparatory reading and teamwork expected between sessions.

Maximum proactivity is required for the sessions, as well as the realization of preworks and development of a challenge that is posed in the program.

To receive a certificate of completion, participants must attend and actively participate in at least 80% of the live sessions.

Most lectures will require individual pre- and post-readings and participation. The participants will also work on a practical case in teams, applying consulting methodology to real business challenges related to AI in the energy sector.

Lectures will not be recorded.