🏦 AI in Banking and Customer Service

AI is changing how banks serve customers, detect fraud, manage information and organise everyday operations. This course explores AI in Banking and Customer Service across digital and physical channels, examining both its practical applications and the controls needed for reliable deployment.

Across nine lessons, you will explore conversational banking, chatbots, virtual assistants, fraud detection, customer personalisation, back-office automation, predictive analytics and omnichannel engagement. You will examine how machine learning, generative AI, large language models and emerging AI agents support customer interactions, employee workflows and financial decision making.

The course also addresses integration with legacy systems, cloud platforms and enterprise data environments. Particular attention is given to data quality, privacy, accessibility, fairness, explainability, cybersecurity and accountability, alongside the challenges of maintaining accurate information and dependable service across connected channels.

Rather than assuming that greater automation always produces better results, the course examines how banks can assess customer outcomes, manage errors, provide effective escalation and assign responsibility for AI-supported decisions and actions. It takes a global perspective, recognising that regulatory requirements and customer needs vary between markets.

Designed for banking professionals, customer service teams, operations staff, risk and compliance specialists, and managers, this course provides a practical foundation for understanding AI adoption in banking. By the end, you will be better equipped to evaluate opportunities, recognise limitations and understand what responsible, secure and customer-focused implementation requires.