AI is revolutionizing the finance industry by enabling faster, more accurate, and data-driven decision-making across a wide range of financial services. From automating routine tasks to providing deep insights through advanced analytics, AI technologies are reshaping how financial institutions operate, manage risk, and serve customers.

This course provides a comprehensive overview of the ways AI is being applied in finance today, covering both foundational concepts and practical applications. You will learn how machine learning algorithms analyze vast amounts of data to assess credit risk, detect fraud, and optimize trading strategies. We will also explore how AI-powered tools improve customer engagement through personalized financial advice and seamless digital experiences.

Whether you are a finance professional looking to leverage AI to enhance your work, a technology enthusiast interested in financial innovations, or a decision-maker aiming to adopt AI-driven solutions, this course will equip you with the knowledge and skills to understand and apply AI in the dynamic world of finance.

Duration : 2-Days – Offered Virtually or Face-to-Face

Language : French or English

The training program includes the following topics:

  • 1. Introduction to AI in Finance

    Gain a foundational understanding of how AI is reshaping the finance industry. This section introduces key concepts, benefits, and the growing role of intelligent automation in enhancing decision-making, improving accuracy, and delivering personalized financial services.

  • 2. Risk Assessment & Credit Scoring

    Explore how AI models analyze large datasets to evaluate creditworthiness, assess risk profiles, and detect early warning signs. Learn how machine learning improves credit scoring models by incorporating non-traditional data sources and adapting to changing borrower behavior.

  • 3. Fraud Detection & Prevention

    Understand how AI helps detect anomalies and suspicious patterns in real time to prevent fraud. This section covers techniques such as anomaly detection, behavioral analysis, and predictive modeling used in combating financial crimes like identity theft, transaction fraud, and money laundering.

  • 4. Algorithmic & Quantitative Trading

    Learn how AI algorithms are used in high-frequency trading, portfolio optimization, and market forecasting. Explore how machine learning models analyze market data, news, and sentiment to make split-second trading decisions and uncover hidden patterns in financial markets.

  • 5. Personalized Financial Services

    Discover how AI enhances customer experience through chatbots, robo-advisors, and intelligent recommendation engines. Learn how financial institutions use AI to deliver tailored advice, product suggestions, and financial planning tools based on individual client profiles and behaviors.

  • 6. Regulatory Compliance & Reporting (RegTech)

    Examine how AI simplifies compliance with complex financial regulations. Topics include natural language processing (NLP) for reading legal documents, automated reporting tools, and real-time monitoring systems that help institutions stay compliant and reduce regulatory risks.

  • 7. AI in Financial Forecasting & Planning

    Explore how AI enhances forecasting models for revenues, cash flow, and investment planning. Understand how scenario analysis, time series modeling, and AI-enhanced dashboards support strategic decision-making and financial planning accuracy.