Artificial Intelligence in Finance and Open Banking

Self-Learning Course Info

Type:

Self-Learning

Fees:

£ 550

Course Details

  • Introduction

  • Objective

  • Who should attend

This training program provides a comprehensive introduction to the intersection of Artificial Intelligence and Open Banking, equipping participants with the knowledge and practical understanding needed to navigate the evolving financial services landscape. The program begins with the core principles of AI, including machine learning, neural networks, and the AI development lifecycle, before exploring Open Banking regulations, secure data-sharing frameworks, and API ecosystems. It then examines the application of AI across financial services, focusing on fraud detection, algorithmic trading, customer experience, and regulatory compliance. Finally, the program addresses responsible AI governance, ethics, and model risk management, enabling participants to understand emerging regulatory requirements and develop robust AI governance frameworks for financial institutions.

Self-learning Course Outline

Self-learning Course Content

Module 1: AI Fundamentals

This introductory module establishes the foundational machine learning paradigms and the full AI lifecycle, with a focus on ethical requirements for regulated environments.


Module 2: Open Banking & Data Ecosystems

This module explores the regulatory frameworks and technical foundations that enable secure data sharing and position customer data as a strategic asset.


Module 3: Artificial Intelligence in Finance

This module bridges foundational AI theory with real-world applications, focusing on how AI is reshaping fraud prevention, trading operations, and customer engagement.


Module 4: AI Governance & Ethics

This advanced module provides a deep dive into building responsible AI frameworks, focusing on emerging regulations and model risk management.

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