This course equips you with the expertise to leverage artificial intelligence for decarbonisation, renewable energy integration, and sector coupling. Learn how AI can drive innovation, optimise energy systems, and support climate goals in the renewable energy sector.

• Understand foundational AI concepts, terminology and learning paradigms (e.g., supervised, unsupervised, and reinforcement learning)
• Explain how AI accelerates the clean energy transition and aligns with the UN Sustainable Development Goals (SDGs)
• Assess practical AI applications in electricity, transportation, buildings and industry
• Identify and evaluate AI solutions for renewable energy forecasting, grid balancing and demand-side flexibility
• Analyse AI’s role in sector coupling, including smart heating, vehicle-to-grid integration and green hydrogen

• Executives, officials, and regulators in the energy sector focusing on energy policy and renewable energy
• Climate project developers investors and professionals in financing institutions, consultancies and public organisations
• Professionals seeking to understand AI’s potential for climate and co-benefits in the energy transition

• Artificial intelligence and its co-benefits for the energy sector
• AI terminology, concepts and algorithms
• AI use cases for decarbonisation and renewable energy
• AI applications in sector coupling: smart heating, vehicle-to-grid, battery storage and green hydrogen
• Use case identification and employment in low-carbon strategies

• Flexibility to study at any time and from any location
• Contact with learning facilitators
• Moderated discussion forum for students
• Multimedia learning materials
• Self-assessments
• Discounts for our alumni, group bookings and multiple purchases