Applied Artificial Intelligence in Practice: Applications and Case Studies

Description

This course examines the practical deployment of applied artificial intelligence (AI) across diverse professional domains, providing students with concrete understanding of how AI technologies are transforming industries and practice. Through in-depth case studies, students will explore AI applications in various domains including healthcare (diagnostic imaging, personalised medicine, drug discovery), legal practice (contract analysis, legal research, predictive case outcomes), engineering (predictive maintenance, design optimisation, quality control), architecture (generative design, building performance modelling, construction planning) etc. The curriculum analyses both successful implementations and notable failures, enabling students to critically assess the opportunities, limitations, and contextual factors that determine AI project outcomes. Based on knowledge gained earlier in the field, students will evaluate domain-specific challenges including data requirements, regulatory compliance, professional ethics, and integration with existing workflows. By examining real-world applications across sectors, this course equips graduates to identify viable AI opportunities, anticipate implementation challenges, and lead AI adoption initiatives within their chosen professional fields.