Mydra logo
Log in
>All courses>Finance
Finance
CFTE logo

CFTE

Generative AI for Trade Finance in Financial Services

  • up to 6 weeks
  • Intermediate

Generative AI is revolutionising trade finance, opening new avenues for efficiency, security, and innovation. This program is designed for trade finance professionals ready to integrate Generative AI into their operations. Over the course of 6 weeks, dedicating just 15 minutes a day, you will learn how to harness AI and Generative AI to streamline transaction processing, enhance risk assessment, and ensure compliance.

  • Enhanced Transaction Processing
  • Compliance and Fraud Detection
  • Improved Risk Assessment
  • Optimised Client Services
  • Innovative Trade Solutions

Overview

This course provides a comprehensive understanding of how Generative AI can be applied in trade finance to enhance transaction processing, risk assessment, and compliance. Participants will gain hands-on experience with AI tools, learn from industry experts, and explore real-world applications and case studies. By the end of the course, learners will be equipped with the skills to implement innovative AI solutions in their trade finance operations.

  • 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?

Trade Finance Managers

Professionals managing trade finance operations looking to integrate AI for efficiency.

Risk Analysts

Analysts aiming to enhance risk assessment capabilities using AI.

Compliance Officers

Officers focused on improving compliance and fraud detection through AI.

This course offers key benefits such as enhanced transaction processing, improved risk assessment, and superior compliance through Generative AI. It covers essential topics for trade finance professionals, including AI integration and innovative solution development. By taking this course, learners will stay competitive and advance their careers in the financial services industry.

Pre-Requisites

1 / 3

  • Basic understanding of trade finance operations

  • Familiarity with financial services industry

  • Interest in AI and its applications in finance

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 basic 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 role of transformers in AI advancements.
Day 4: Scaling transformers
Understanding how transformers can be scaled for better performance.
Day 5: LLMs as a new human/machine interface
Learning about large language models and their applications.
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
Identifying key model providers in the Generative AI space.
Day 7: Infrastructure providers
Understanding the role of infrastructure providers in AI.
Day 8: Application providers
Exploring various application providers and their contributions.
Day 9: Hands-on project: Getting started with ChatGPT and Customer Personas
Practical project on using ChatGPT for creating customer personas.
Day 10: Hands-on project: Analysing & extracting information from PDF Reports with AI
Practical project on using AI to analyze and extract information from PDF reports.
Week 3: Current landscape of Gen AI in Trade Finance
This week explores the insurance domain and compares traditional insurance approaches with AI-driven methods.
Day 11: Introduction and background of Trade Finance
Overview of trade finance and its significance.
Day 12: Challenges in Trade Finance
Identifying key challenges faced in trade finance.
Day 13: Traditional approaches vs AI-driven approaches in Trade Finance
Comparing traditional methods with AI-driven approaches in trade finance.
Day 14: Current landscape of Generative AI in Trade Finance
Exploring the current state of Generative AI in trade finance.
Day 15: Expert interview: TBC
Interview with an industry expert on Generative AI in trade finance.
Week 4: Applications and use cases of Gen AI in Trade Finance
This week discusses Generative AI applications and current initiatives and use cases in trade finance.
Day 16: Applications of Generative AI in trade finance (1/2)
Exploring various applications of Generative AI in trade finance.
Day 17: Applications of Generative AI in trade finance (2/2)
Continuing the exploration of Generative AI applications in trade finance.
Day 18: Case studies (1/2)
Reviewing case studies on the use of Generative AI in trade finance.
Day 19: Case studies (2/2)
Continuing the review of case studies on Generative AI in trade finance.
Day 20: Expert interview (TBC)
Interview with an industry expert on practical applications of Generative AI.
Week 5: From Theory to Practice - Practical Approach
This week focuses on practical applications of generative AI tools in Insurance. Projects include using AI for streamlining transaction processing, enhancing risk assessment, and ensuring compliance.
Day 21: Navigate key Generative AI tools
Learning to navigate and use key Generative AI tools.
Day 22: Understanding the Prompt Engineering
Understanding the principles of prompt engineering in AI.
Day 23: Use Case 1
Exploring a practical use case of Generative AI in trade finance.
Day 24: Use Case 2
Exploring another practical use case of Generative AI in trade finance.
Day 25: Use Case 3
Exploring a third practical use case of Generative AI in trade finance.
Day 26: Use Case 4
Exploring a fourth practical use case of Generative AI in trade finance.
Week 6: Opportunity and risk in Insurance
This week examines the advantages and key success factors of implementing AI in Insurance and teaches the privacy and data usage in Generative AI in Trade Finance.
Day 27: Advantages / Key Success Factors of AI implementation in Trade Finance
Understanding the advantages and key success factors of AI implementation in trade finance.
Day 28: Impact and assessment
Assessing the impact of AI in trade finance.
Day 29: Data, Risk, Privacy and Ethical considerations
Learning about data, risk, privacy, and ethical considerations in AI.
Day 30: Changes in skills
Understanding the changes in skills required for AI in trade finance.

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 is an entrepreneur, academic, investor, and banker with extensive experience in the financial industry.

  • Christian Trumm

    Fintech Advisor & Global Expansion Leader, CT Advisory

    Christian Trumm is an accomplished fintech advisor and cross-border expansion leader with an outstanding track record in Payments, Digital Assets and Trade Finance between Asia and Europe. A strong believer in global scalability of world-class solutions from Asia, Christian has learned that product offerings, BD and GTM strategies can and need to be adapted to local conditions.

Upcoming cohorts

  • Dates

    start now

£270