Global Learning for Operational Leaders
Course AF-002
Artificial Intelligence in Banking and Financial Services
This course provides a comprehensive foundation in the application of Artificial Intelligence (AI), machine learning, an... The outline covers Foundations of Artificial Intelligence (AI) and Machine Learning (ML) in Fina...
Introduction
Course overview
Why Attend
This course provides a comprehensive foundation in the application of Artificial Intelligence (AI), machine learning, and cognitive modelling within the financial services sector. Designed specifically for professionals in banking, asset management, financial services and governance, it explores how these technologies are reshaping client engagement, risk profiling, predictive analytics, and operational efficiency.
Course participants will gain a solid understanding of the fundamental logic behind AI and machine learning within the industry, and how these tools can be applied to better understand client behaviour, assess risk appetite, and tailor services to individual objectives. The course also highlights the transformative potential of AI in enhancing the customer experience across various touchpoints in financial services.
In addition to practical applications, such as time-series analysis and predictive modelling, the course also explores the integration of AI with legacy systems, identifying both opportunities and operational challenges.
Course Methodology
The courses focuses on an interactive approach to knowledge transfer as well as practical studies and engagement of participants in an interactive Q&A format.
Course Objectives
By the end of the course, participants will be able to:
- Understand how AI and machine learning can be used to assess client profiles, risk appetite, and financial objectives
- Identify how AI technologies enhance customer experience across various areas of financial services
- Apply AI concepts to time-series analysis and broader predictive analytics
- Evaluate practical challenges and integration issues when adopting AI alongside legacy systems
- Assess gaps between AI expectations and real-world outcomes, including the risk of overpromised benefits
Target Audience
This course is ideal for anyone in the banking and financial services industry, who are exploring the use of AI to support their role or organization.
Target Competencies
- Analytical and Predictive Skills
- Change Management
- Risk Management
- Governance, Ethics and Compliance
- Portfolio and Wealth Management
What you will achieve
Learning objectives
- Understand how AI and machine learning can be used to assess client profiles, risk appetite, and financial objectives
- Identify how AI technologies enhance customer experience across various areas of financial services
- Apply AI concepts to time-series analysis and broader predictive analytics
- Evaluate practical challenges and integration issues when adopting AI alongside legacy systems
- Assess gaps between AI expectations and real-world outcomes, including the risk of overpromised benefits
Who should attend
Target audience
- This course is ideal for anyone in the banking and financial services industry, who are exploring the use of AI to support their role or organization.
- Target Competencies
- Analytical and Predictive Skills
- Change Management
- Risk Management
- Governance, Ethics and Compliance
- Portfolio and Wealth Management
Methodology
Learning approach
- The courses focuses on an interactive approach to knowledge transfer as well as practical studies and engagement of participants in an interactive Q&A format.
Course content
Course outline and key learning areas
Module 1
Foundations of Artificial Intelligence (AI) and Machine Learning (ML) in Finance
- Introduction to AI and ML
- Evolution of search algorithms (Google, Microsoft, etc.)
- Overview of cognitive modelling and neural networks
- Supervised vs. Unsupervised learning
- Training vs. Inference
- Teaching models to learn from data
- Making predictions from trained models
- Tools and Technologies
- Software: Python, C++, parallel programming
- Hardware: Nvidia GPUs, high-capacity data storage
FAQ
Frequently asked questions
What does Artificial Intelligence in Banking and Financial Services (AF-002) cover?
This course covers Accounting and Finance through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 15 - 19 June 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.
Who should attend this course?
This course is ideal for anyone in the banking and financial services industry, who are exploring the use of AI to support their role or organization., Target Competencies, Analytical and Predictive Skills
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Yes. The course detail page includes both classroom sessions and Online / Live sessions, with online options aligned to the same course dates for easier planning.
Where are classroom sessions delivered?
Current classroom venues include London, Amsterdam, Istanbul, Vienna, Barcelona, Paris.
Still Have Questions?
Contact the academy team for course details, delivery options, and delegate guidance.
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