This 2-day online course introduces treasury, finance, and risk professionals to the principles of treasury risk management, combined with practical training in using AI and machine learning tools via Orange, a no-code, user-friendly platform.
Participants will learn to enhance cash flow forecasting, liquidity management, and risk mitigation using ML workflows without coding or complex infrastructure.
The course also provides an overview of AI/ML tools available today to help participants assess fit for their treasury operations.
Peter Bokma, MBA, is a globally recognized treasury strategist and corporate trainer with 45+ years of experience across major financial centers. He has led treasury transformation projects for institutions like PwC Saudi Arabia, ING Group, and Qatar Islamic Bank, specializing in ALM, derivatives, and AI-driven treasury technologies. Peter has delivered 70+ executive programs in risk management, forecasting, and Islamic finance across Europe, the Middle East, and Asia-Pacific. Fluent in five languages and holding an MBA from Heriot-Watt University, he is known for bridging traditional treasury practices with next-gen financial technologies.
Participants will gain:
A foundational understanding of treasury risk management principles
Hands-on experience using AI/ML tools for forecasting and risk analysis
Skills to build machine learning workflows in Orange (no-code platform)
Insights into AI/ML tools suitable for treasury operations
Practical techniques for improving cash flow forecasting, liquidity planning, and risk mitigation
Orange is an open-source, no-code machine learning and data visualization tool. It is widely used in academia and industry to teach and apply AI/ML concepts without programming. It’s ideal for finance professionals wanting to experiment with data-driven models quickly and effectively.
The course is delivered online over two consecutive days and includes:
Live instructor-led sessions
Theory segments on treasury risk and AI/ML principles
Interactive demonstrations using Orange
Guided exercises and workflow development
Q&A and case discussions
This course uniquely combines treasury-specific applications of AI/ML with a no-code platform, making it accessible, practical, and immediately applicable—particularly for professionals who are not data scientists.
Book 1 - 2 $495/delegate
Book 3 or more $295/delegate
Book 1 - 2 $695/delegate
Book 3 or more $495/delegate
Online
11th - 12th August 2025
Peter Bokma
2 Days
Digital
At IILAM — we don’t just deliver training.
We shape corporate legends
© 2025 www.iilam.com
