AI for Finance Trainingen in België

Toepasbare AI voegt nieuwe niveaus van efficiëntie en intelligentie toe aan de manier waarop financiële professionals bedrijfsprestaties analyseren en rapportage maken.Deze door instructeurs geleide, live training (online of op locatie) is gericht op financiële professionals met tussenkennis die AI-tools willen integreren in hun werkprocessen voor financiële verslagen om nauwkeurigheid te verbeteren, herhaalde taken te automatiseren en vooruitblikkerende inzichten te verkrijgen.Aan het einde van deze training kunnen de deelnemers:

• Gegevens extraheren uit financiële documenten automatiseren met behulp van AI-tools.
• Machine learning-modellen toepassen om trends en afwijkingen in financiële verslagen te analyseren.
• Generatieve AI gebruiken om te helpen bij variatiecommentaar, narratieve rapporten en scenario-simulatie.
• AI-gegenereerde uitvoeren verantwoordelijk interpreteren in de context van financiële rapportage en planning.

Opzet van de cursus

• Interactieve lezingen en discussies.
• Veel oefeningen en praktijk.
• Hands-on implementatie in een live-labomgeving.

Opties voor cursusaanpassing

• Om een aangepaste training voor deze cursus te vragen, neem dan contact met ons op om dit te regelen.

AI transformeert FinTech door slimme automatisering, hyperpersoonlijke aanpassing en veilige real-time financiële diensten mogelijk te maken.

Deze door een instructeur geleide, live-training (online of op locatie) is bedoeld voor FinTech-professionals op beginners- tot intermediair niveau die de convergente van AI, APIs en Open Banking innovaties willen verkennen om next-generation financiële producten te ontwerpen.

Op het einde van deze training kunnen de deelnemers:

• Begrijpen hoe AI en machine learning worden toegepast in FinTech toepassingen.
• Open Banking APIs en dataaggregatie gebruiken voor productinnovatie.
• AI-aangedreven functies ontwerpen voor digitale portemonnees, neobanken en financiële assistenten.
• Innovatie afstemmen op regelgevende, ethische en beveiligingsoverwegingen.

Formaat van de cursus

• Interactieve lezingen en discussies.
• Veel oefeningen en praktijk.
• Handson implementatie in een live-labomgeving.

Opties voor cursusaanpassing

• Voor een aangepaste training voor deze cursus, neem dan contact met ons op om te regelen.

AI transformeert hoe financiële instellingen fraude detecteren en geldwitwassen bestrijden door slimme, real-time analyse van enorme transactiedatasets.

Deze door een instructeur geleide live training (online of op locatie) is gericht op professionals op intermediair niveau die machine learning en AI-tools willen toepassen om de automatisering en verbetering van het opsporen van financiële misdrijven, naleving van regelgeving en operationele governance.

Na deze training kunnen de deelnemers:

• AI-toepassingen in fraudedetectie en AML-monitoring begrijpen.
• Modellen ontwerpen en implementeren voor anomaliedetectie en transactiescoring.
• Gebruik maken van grafische AI voor het detecteren van netwerkrisico's.
• Zorgen voor een ethische, uitlegbare en regelgevingsconforme modelimplementatie.

Opzet van de cursus

• Interactieve lezingen en discussies.
• Veel oefeningen en praktijk.
• Hands-on implementatie in een live-labomgeving.

Opties voor cursusaanpassing

• Om een aangepaste training voor deze cursus aan te vragen, neem contact met ons op om te regelen.

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.