Masterclass AI in the Energy Transition

During this Masterclass AI in the Energy Transition, you develop a practical understanding of how artificial intelligence is changing the energy sector. 

You start by exploring how AI is changing organisations and business models, including the transition from experimentation and pilots to scalable applications. Attention is given to business value, responsible AI, governance, data security, risk management and organisational readiness.  

The programme then examines the fundamentals of artificial intelligence, including the differences between AI, machine learning and generative AI. From there, you explore applications across the energy and materials value chain and consider both the potential and environmental footprint of AI. 

Particular attention is given to AI and generative AI in energy systems. Through practical examples and case studies, you explore applications in geo-energy, electricity grids and industrial processes, including forecasting, optimisation and decision support. You will also consider industrial AI, secure data sharing, agentic AI and the conditions required for successful implementation.  

The programme also examines decentralised energy systems. You explore how digital technologies and blockchain can support community-based local energy markets and decentralised transactions, and consider the interaction between AI, blockchain and local energy management. Alongside this, the programme addresses AI in material design and the connection between technological innovation, investment, risk and financeable energy business cases.  

After this masterclass, you will be able to: 

• Explain the fundamentals of AI and distinguish between AI, machine learning and generative AI.  
• Evaluate AI applications across the energy value chain, including energy systems, industrial processes and markets.  
• Identify practical AI applications for forecasting, optimisation and decision support.  
• Understand how AI and generative AI are being applied in geo-energy, electricity grids and industrial processes.  
• Explain emerging developments such as industrial AI, secure data sharing and agentic AI.  
• Explain the role of blockchain and digital technologies in local energy markets and decentralised energy systems.  
• Understand how AI can accelerate the discovery and development of materials for the energy transition.  
• Identify relevant organisational, ethical, financial and regulatory considerations when applying AI within the energy sector.  

What to expect during a masterclass 

In addition to substantive learning and new professional connections, we provide a well-organised learning experience. 

After completing the masterclass, you will receive a digital certificate of participation that can easily be added to your LinkedIn profile. Speaker presentations will be shared as reference material, allowing you to revisit the content or share relevant insights with colleagues. 

Lunch and healthy snacks are provided throughout the day. A dedicated event manager will be on site to ensure the programme runs smoothly and to assist with any practical questions. 

The masterclass brings together technological, organisational and financial perspectives on AI in the energy transition.