This module delves into the technical core of artificial intelligence, balancing cutting-edge innovation with environmental sustainability. Students master deep learning architectures, reinforcement learning for smart grid optimisation, and generative modelling for climate simulations. The syllabus harnesses computer vision for satellite biodiversity monitoring, natural language processing for ESG policy analysis, and digital twins for sustainable systems. Remarkably, the curriculum champions “Green AI”, addressing algorithmic efficiency, hardware acceleration, and edge computing for remote intelligent sensors. By mastering carbon-aware strategies and reducing the energy demands of large-scale models, learners are empowered to deploy high-impact, scalable AI solutions without incurring a detrimental carbon footprint.