Overview
Turn AI into your organisation’s key asset
Artificial intelligence (AI) is no longer just an advantage, it’s a necessity. Leading financial institutions like JPMorgan Chase, Citigroup, and DBS Bank already use AI to enhance operations, improve customer experiences, and boost profitability. The next wave of transformation is driven by Generative AI and Agentic AI, technologies redefining how financial organisations analyse data, automate decisions, and deliver personalised services at scale.
Our AI in Finance Specialisation, now including two overview courses, Generative AI in Finance and Agentic AI in Finance, equips finance professionals with essential skills to harness these breakthroughs. Learn from over 30 industry experts from institutions such as Citi, UBS, and PwC, and turn AI into a strategic advantage for your organisation.
This programme focuses a lot on industry-expert insights, case studies & is designed for finance professionals. It is as close to the industry as it gets.
Course Description & Learning Outcomes
In this course, you will learn how to use AI to:
Enhance risk management with AI-driven fraud detection & compliance
Optimise investment strategies using machine learning and predictive analytics
Streamline credit scoring with alternative data & AI-based decision-making
Improve asset management with robo-advisors & AI-driven portfolio analysis
The AI course that truly delivers career impact. Thousands of learners have used insights from this programme to directly improve their careers. You can join them too. Learn from 72+ top industry experts
72+ Expert-led Videos with 18 video interviews from industry leaders
Get an accredited & industry-recognised certificate endorsed by trusted bodies
Get business insights with 25+ case studies of disruptive companies using AI in finance
Join a Global Network of AI Experts
Get access to our premium & exclusive community of professionals in AI & Finance
Schedule
Date: 11 Apr 2026, Saturday
Time: 11:29 AM - 12:29 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 32 Carpenter Street, 059911
