Formation AI for Finance en Belgique

L'IA appliquée introduit de nouveaux niveaux d'efficacité et d'intelligence dans la façon dont les professionnels financiers analysent et rapportent sur la performance des affaires.

Ce cours dispensé par un formateur (en ligne ou en présentiel) s'adresse aux professionnels financiers intermédiaires souhaitant intégrer des outils IA dans leurs flux de travail pour déclarer les états financiers, afin d'améliorer l'exactitude, automatiser les tâches répétitives et obtenir des insights prédictifs.

À la fin de ce cours, les participants seront capables de :

• Automatiser l'extraction des données à partir des documents financiers en utilisant des outils IA.
• Appliquer des modèles d'apprentissage automatique pour analyser les tendances et les anomalies dans les états financiers.
• Utiliser une IA générative pour aider aux commentaires de variance, aux rapports narratifs et à la simulation de scénarios.
• Interpréter responsablement les sorties générées par l'IA dans le contexte du rapport et de la planification financière.

Format du cours

• Cours interactif avec discussions.
• De nombreuses exercices et pratiques.
• Mise en œuvre pratique dans un environnement de laboratoire vivant.

Options de personnalisation du cours

• Pour demander une formation personnalisée pour ce cours, veuillez nous contacter afin d'organiser cela.

L'IA transforme la FinTech en permettant une automatisation intelligente, une hyper-personnalisation et des services financiers en temps réel sécurisés.

Cette formation en direct (en ligne ou sur place) est destinée aux professionnels de la FinTech débutants à intermédiaires qui souhaitent explorer la convergence de l'IA, des API et des innovations de Open Banking pour concevoir les produits financiers de la prochaine génération.

À la fin de cette formation, les participants seront capables de :

• Comprendre comment l'IA et l'apprentissage automatique sont appliquées dans différents cas d'utilisation FinTech.
• Tirer parti des API Open Banking et de l'agrégation de données pour innover en matière de produits.
• Développer des fonctionnalités pilotées par IA pour les portefeuilles numériques, les néobanques et les assistants financiers.
• Aligner l'innovation avec les considérations réglementaires, éthiques et de sécurité.

Format de la formation

• Cours interactif et discussion.
• Nombreux exercices et pratique.
• Mise en œuvre pratique dans un environnement lab vivant.

Options de personnalisation de la formation

• Pour demander une formation personnalisée pour ce cours, veuillez nous contacter pour faire les arrangements nécessaires.

AI is transforming how financial institutions detect fraud and combat money laundering through intelligent, real-time analysis of vast transaction datasets.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to apply machine learning and AI tools to automate and enhance financial crime detection, compliance monitoring, and operational governance.

By the end of this training, participants will be able to:

• Understand AI use cases in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Leverage graph-based AI for network risk detection.
• Ensure ethical, explainable, and regulatory-compliant model deployment.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI is transforming WealthTech by enabling highly personalized financial services, intelligent advisory platforms, and enhanced user experiences.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance and technology professionals who wish to design, evaluate, or implement AI-driven solutions for personalized wealth management and robo-advisory services.

By the end of this training, participants will be able to:

• Understand how AI is applied in wealth management and digital advisory platforms.
• Design intelligent systems for personalized portfolio recommendations.
• Incorporate behavioral finance data and preferences into advisory algorithms.
• Evaluate ethical and regulatory concerns in automated investment advice.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI is transforming how financial institutions assess creditworthiness, price risk, and optimize lending decisions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.

By the end of this training, participants will be able to:

• Understand key AI methods used in credit scoring and risk prediction.
• Build and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs for regulatory compliance and transparency.
• Apply AI techniques to improve underwriting, loan approval, and portfolio management.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Generative AI is a class of artificial intelligence techniques used to generate new content or predictions from existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level finance professionals who wish to apply generative AI for forecasting, anomaly detection, and compliance in financial services.

By the end of this training, participants will be able to:

• Understand the foundational concepts behind generative AI models.
• Apply LLMs and GANs to use cases such as fraud detection and synthetic data generation.
• Design effective prompts for financial forecasting and reporting support.
• Evaluate ethical and regulatory considerations in generative AI applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence is a powerful set of techniques used to develop intelligent trading systems that analyze market data, make predictions, and execute strategies autonomously.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply AI techniques in trading and asset management, focusing on signal generation, portfolio optimization, and algorithmic strategies.

By the end of this training, participants will be able to:

• Understand the role of AI in modern financial markets.
• Use Python to build and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial data.
• Optimize portfolios using AI-driven techniques.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Machine Learning is a subset of Artificial Intelligence focused on creating systems that learn from data and make predictions or decisions without being explicitly programmed.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply machine learning and AI techniques to real-world problems such as fraud detection, credit scoring, and risk modeling.

By the end of this training, participants will be able to:

• Understand the core machine learning concepts relevant to finance.
• Apply supervised and unsupervised learning algorithms to financial datasets.
• Build and evaluate predictive models for credit risk, fraud detection, and market analysis.
• Use Python and scikit-learn to implement machine learning pipelines.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI in Financial Services is a strategic enabler for risk reduction, customer experience, and operational efficiency.

This instructor-led, live training (online or onsite) is aimed at financial services executives, fintech managers, and compliance officers with limited prior exposure to artificial intelligence who wish to understand how to responsibly and effectively implement AI solutions in their institutions.

By the end of this training, participants will be able to:

• Understand the strategic value of AI in financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the regulatory landscape for AI in finance.
• Design responsible AI governance and implementation frameworks.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.