This beginner-friendly course introduces participants to artificial intelligence and machine learning, explaining how systems are built, assessed and used responsibly. Delivered in a non-technical format with discussions and case studies, it covers core concepts, risks, ethical considerations and practical examples to help learners confidently understand and navigate today’s AI-driven world.
Instructor: The course is lead by Dr Marie Oldfield supported by Dr Richard Saldanha. The course lead is Dr Marie Oldfield. Dr Oldfield is CEO of Oldfield Consultancy and former Senior Lecturer in Practise at LSE. Dr Oldfield is a Fellow and Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci) and Advanced Practitioner in Artificial Intelligence (APAI).
Dr Saldanha is a Visiting Lecturer in machine learning at Queen Mary University of London on its master's degree programme in the School of Economics and Finance, a member of the AI for Control Problems Project at The Alan Turing Institute, and a practical user of AI/ML commercially with Oxquant. Dr Saldanha holds a doctorate (DPhil) in Statistics from the University of Oxford. He is a Fellow and Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci); and a Fellow (FIScT) and Advanced Practitioner in Artificial Intelligence (APAI).
Code: NE25AI10
Location: In-person or online
Duration: Two days onsite • 8 online sessions
Level: None
Prerequisites: Some basic knowledge of probability and statistics would be useful. Prior knowledge of interpreted languages such as R or Python would be advantageous but is not essential.