Course Overview
Artificial Intelligence (AI) is becoming a foundational capability in finance and banking. Financial institutions are increasingly using AI to enhance risk management, fraud detection, financial analysis, customer engagement, reporting, and operational efficiency. With the rise of Large Language Models (LLMs) and Generative AI, finance professionals now have access to powerful tools that can analyse information, generate insights, and support decision-making at unprecedented speed.
However, the finance and banking sector operates in a highly regulated environment, where data confidentiality, explainability, accountability, and ethical use are critical. AI systems must therefore be understood, governed, and applied responsibly, rather than used blindly.
This course provides a practical, business-oriented introduction to AI for finance and banking professionals. Participants will learn core AI concepts, explore leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM, and apply them hands-on to real financial workflows. The focus is on practical application, compliance awareness, productivity improvement, and strategic readiness, without requiring any programming background.
What are the skills covered
By the end of this course, participants will be able to:
- Understand key AI concepts and terminology relevant to finance and banking
- Clearly distinguish between AI, Machine Learning, Deep Learning, LLMs, and Generative AI
- Evaluate and select appropriate AI tools for financial and banking tasks
- Apply AI tools to financial analysis, reporting, documentation, and communication
- Use AI responsibly within regulatory, ethical, and organisational boundaries
- Identify and prioritise AI use cases relevant to their own organisations
- Contribute meaningfully to AI adoption and strategy discussions in finance teams
Who should attend this course
This course is designed for working adults and professionals, including:
- Banking and financial services professionals
- Finance managers, analysts, and executives
- Risk management, compliance, audit, and AML teams
- Credit, lending, and investment professionals
- Operations and customer service managers
- Digital transformation and innovation teams
- Business leaders responsible for AI adoption in finance
No prior AI or technical background is required.
Course Curriculum
Course Modules
Exam & Certification
This course is not associated with any Certification.
