AI Driving Licence for Financial Sector Employees (AI Act Compliant)

Employees in the financial sector: banks, insurance companies, asset management firms and investment funds, investor services and fund administrators, PSFs, fintech companies, audit firms, and financial advisory and consulting firms.

This course has been developed in compliance with the requirements of the AI Act (2024). It has been submitted for review to the National Commission for Data Protection (CNPD), and its recommendations have been taken into account in the final version.
This e-learning programme has been designed to help you understand and master the use of artificial intelligence in a professional setting adapted to the Luxembourg financial context.
Our objective is to provide you with the fundamentals, best practices, and rules to follow in order to comply with the European AI Act.
More figuratively, the aim is to learn the “highway code” of AI as applied to finance in Luxembourg, so that you can use these tools effectively, responsibly, and securely.
An essential learning experience for operating in Luxembourg’s financial professional environment, where AI is becoming unavoidable… and regulated.

At the end of the training, participants will be able to:

• Understand AI
• Know what AI is (and is not)
• Identify its limitations: bias, hallucinations, lack of transparency
• Link AI to data architectures (Data Lake, Lakehouse, Data Mesh)
• Interact effectively with AI
• Write clear and well-adapted prompts for financial use cases (PRIIPs, FATCA/CRS, KYC/AML, etc.)
• Obtain accurate and reliable responses
• Adapt AI to financial use cases
• Understand the basics of fine-tuning (credit analysis reports, internal standards) and reinforcement learning from human feedback (RLHF)
• Improve response reliability using Retrieval-Augmented Generation (RAG) connected to regulatory frameworks (CSSF/EBA/ESMA) and internal procedures
• Use AI in compliance with the law
• Apply GDPR rules and anticipate the AI Act
• Manage deployer liability, prevent bias in credit scoring, ensure traceability and auditability (model risk), protect banking secrecy and sensitive data
• Understand legal responsibilities and adopt best practices
• Use AI in a sustainable way
• Reduce environmental impact through efficient prompting and light

• Module 1: Technical Fundamentals of AI
  • Core technical principles of artificial intelligence
  • Basics of Machine Learning and Deep Learning
  • Large Language Models (LLMs)
  • Real-world use cases of AI integrated into business software
• Module 2 : Optimization and Effective Use of AI
  • Personalization in queries: prompt engineering
  • Advanced techniques: fine-tuning and reinforcement learning from human feedback (RLHF)
  • Introduction to RAG: Making AI Responses More Reliable
• Module 3 : Ethical, Legal, and Administrative Aspects
  • Ethical challenges of AI
  • Legal and regulatory frameworks for AI
  • Risks associated with AI usage
  • Information security & managing AI-related incidents
• Module 4 : Future Outlook and Developments
  • Trends and innovations: toward increasingly autonomous and multimodal AI
  • Energy consumption and sustainability: an emerging strategic concern

Upon completion of the training, participants will receive a certificate of participation issued by the House of Training. If they pass the knowledge test, they will be awarded a certificate of achievement.

+-2h (licence remains active for 6 months).

This training programme is structured into four complementary main modules, each designed to help you progress step by step.
Each module consists of short videos, interactive activities, and summary sheets to reinforce your knowledge.
At the end of each module, a quiz will allow you to test what you have learned.
And to conclude your learning journey, a final exam will validate your knowledge and your compliance with the AI Act.
Take the time to explore, experiment, and revisit the content: here, the objective is not only to learn, but to master.