During this course, you’ll learn:
- To understand the rising importance of artificial intelligence and machine learning within the financial sector.
- To develop various artificial intelligence financial systems – credit default predictor, fraud detection system, recommender system and customer segmentation system.
- To evaluate existing artificial intelligence systems to highlight key structures and processes.
- To explain the concepts, principles, and typical architecture of an artificial intelligence system.
- To explore the benefits and limitations of artificial intelligence systems.
- To create an action plan detailing goals, objectives, innovative ideas, and project stages.
- To comprehend the risks associated with a full reliance on a technology system and balance technology with human influence.
This course is designed for anyone within the financial sector who wishes to incorporate artificial intelligence into their standard practices. It would be most beneficial for:
- Finance Managers
- Accountants
- Risk Managers
- Senior Executives
- Business Owners
- Banking Managers
- Artificial Intelligence and Machine Learning Engineers
- Operations Managers
This course uses a variety of adult learning styles to aid full understanding and comprehension. Participants will review case studies of established financial organisations who utilise artificial intelligence systems to highlight key features and processes.
Participants will be provided with all the necessary tools and equipment needed to successfully carry out the offered learning exercises. They will partake in a variety of presentations, group discussions, demonstrations, and individual activities. A combination of these activities alongside the supplied case studies will ensure a full development of the related skills and knowledge.