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CFTE

Generative AI for Payments in Financial Services

  • up to 6 weeks
  • Intermediate

This course is designed to help professionals in the financial sector understand and leverage the real-time benefits of Generative AI. By responsibly implementing Generative AI, you can streamline payment processes and ensure regulatory adherence.

  • Generative AI fundamentals
  • AI applications in payments
  • Risk management
  • Regulatory compliance
  • Data privacy and ethics

Overview

Participants will gain in-depth knowledge of generative AI, understand its applications and underlying mechanisms, and learn about global trends and know how to integrate AI in their organisations. The course covers fundamentals of generative AI, the landscape of generative AI in Payments, current and future applications in Payments, and risk management and regulation.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Chief Payment Officer

Professionals responsible for overseeing payment operations and strategies within financial institutions.

Payment Operations Manager

Managers who handle the day-to-day operations of payment systems and processes.

Payments and Accounting Analyst

Analysts focused on the financial aspects and accounting of payment transactions.

This course equips finance professionals with the knowledge and skills to leverage Generative AI in payments, enhancing productivity and ensuring regulatory compliance. Ideal for professionals in financial institutions, fintech companies, and startups, it provides practical insights and hands-on projects to drive AI strategy in your team.

Pre-Requisites

1 / 3

  • Basic understanding of financial services

  • Familiarity with AI concepts

  • Interest in payment systems

What will you learn?

Week 1: Generative AI Fundamentals
This week explores the definition, the inner mechanisms, and the evolution of Generative AI.
Day 1: Definition of Generative AI
Understanding what Generative AI is and its core principles.
Day 2: Differences between traditional Machine Learning and Generative AI
Comparing traditional machine learning techniques with generative AI.
Day 3: Transformers: a revolutionary breakthrough
Exploring the impact of transformers in AI development.
Day 4: Scaling transformers
Techniques and challenges in scaling transformer models.
Day 5: LLMs as a new human/machine interface
Large Language Models and their role in human-machine interaction.
Week 2: The Landscape of Generative AI
This week discusses the Generative AI landscape and key players such as infrastructure providers, model providers and application providers.
Day 6: Model providers
Key companies and organizations providing AI models.
Day 7: Infrastructure providers
Understanding the infrastructure supporting AI models.
Day 8: Application providers
Companies and tools providing AI applications.
Day 9: Hands-on project: Getting started with ChatGPT and Customer Personas
Practical project to start using ChatGPT for creating customer personas.
Day 10: Hands-on project: Analysing & extracting information from PDF Reports with AI
Using AI to analyze and extract data from PDF reports.
Week 3: Current landscape of Generative AI in Payments
This week delves into the Payments domain and compare traditional approaches with AI-driven methods.
Day 11: Introduction and background of Payments
Overview of the payments industry and its evolution.
Day 12: Challenges in Payments
Identifying and understanding the key challenges in the payments sector.
Day 13: Traditional approaches vs AI-driven approaches in Payments
Comparing traditional payment methods with AI-driven solutions.
Day 14: Current landscape of Generative AI in Payments
Exploring how generative AI is currently being used in payments.
Day 15: Expert interview: TBC
Insights from an industry expert on AI in payments.
Week 4: Applications and use cases of Generative AI in Payments
This week discusses Generative AI applications and current initiatives and use cases in Payments.
Day 16: Applications of Generative AI in Payments (1/2)
First part of exploring AI applications in payments.
Day 17: Applications of Generative AI in Payments (2/2)
Second part of exploring AI applications in payments.
Day 18: Case studies (1/2)
First part of case studies on AI in payments.
Day 19: Case studies (2/2)
Second part of case studies on AI in payments.
Day 20: Expert interview (TBC)
Interview with an expert on AI applications in payments.
Week 5: From Theory to Practice: Practical Approach
This week focuses on practical applications of generative AI tools in Payments.
Day 21: Navigate key Generative AI tools
Overview of essential AI tools for payments.
Day 22: Understanding the Prompt Engineering
Learning the techniques of prompt engineering in AI.
Day 23: Use case
Practical use case of AI in payments.
Day 24: Use case
Another practical use case of AI in payments.
Day 25: Use case
Further practical use case of AI in payments.
Day 26: Use case
Final practical use case of AI in payments.
Week 6: Opportunity and risk in Payments
This week examines the advantages and key success factors of implementing AI in Payments and teaches the privacy and data usage in Generative AI in Payments.
Day 27: Advantages / Key Success Factors of AI implementation in Payments
Identifying the benefits and success factors of AI in payments.
Day 28: Impact and assessment
Assessing the impact of AI on the payments industry.
Day 29: Data, Risk, Privacy and Ethical considerations
Understanding the ethical and privacy considerations in AI.
Day 30: Changes in skills
Exploring the changes in required skills due to AI implementation.

What learners say about this course

  • “The content was really relevant. I really liked that it gave a lot of examples on how AI can be applied in the industry, the companies that are successful implementing AI and high level view on what AI is really about.”

    Magdalene Loh

    Senior Vice President and Head of Innovation at Prudential Singapore

  • “The interviews covered in the course introduced the insights that are very important from those with 20+ years experience professionals.”

    Priscilla Cournede

    Deputy Director at Life Reinsurance at Covéa

  • “Since I finished the course, I raised suggestions to my team to integrate different technologies and AI in the different parts of the organisation.”

    Goh Theng Kiat

    Chief Customer Officer at Prudential Singapore

Meet your instructors

  • Huy Nguyen Trieu

    Co-founder, CFTE

    Huy Nguyen Trieu is the co-founder of CFTE, a global Fintech education platform. He has a passion for building and growing businesses, especially in changing environments. He has experience as a tech CEO, Managing Director at Citi, and Founding Partner of an accelerator in Hong Kong.

  • Dr Ritesh Jain

    Sr. Lecturer, CFTE - Centre for Finance, Technology and Entrepreneurship

    Dr. Ritesh Jain is an instructor at CFTE, where he shares his expertise in digital technology, business transformation, and operations. With over two decades of experience, he has held leadership roles at HSBC, VISA, Maersk, and other global firms, driving strategic initiatives and building innovative solutions.

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£270