AI in FinTech & Open Banking Innovation Training Course

This instructor-led, live training in the Netherlands (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and implement AI-driven solutions for financial automation and fraud prevention.

Upon completion of this course, participants will be able to:

• Grasp the role of AI in automating financial tasks and detecting fraud.
• Construct AI models capable of identifying fraudulent transactions.
• Utilize machine learning techniques for real-time risk evaluation.
• Deploy AI-enabled financial monitoring systems.

Artificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and optimize lending strategies.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals who want to leverage 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.

Course Format

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

Customization Options

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

Artificial Intelligence serves as a technology that facilitates the creation of digital products with advanced data-driven capabilities and personalized customer experiences.

This instructor-led, live training (online or onsite) combined with asynchronous activities and in-person workshops is aimed at intermediate-level banking professionals who wish to design, develop, and deliver AI-powered digital products effectively.

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

• Identify customer needs and define a clear product vision.
• Apply AI technologies to enhance digital banking products.
• Use agile and design thinking methods to create user-centered solutions.
• Measure, iterate, and optimize product performance for sustained value.

Format of the Course

• 50% synchronous classes (virtual or in-person).
• 25% asynchronous activities (videos, readings, forums).
• 25% in-person practical workshop with case studies.

Course Customization Options

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

Artificial intelligence is reshaping the way financial institutions identify fraud and prevent money laundering by enabling intelligent, real-time analysis of extensive transaction data.

This instructor-led training, available either online or onsite, is designed for intermediate-level professionals looking to apply machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

Upon completion of this training, participants will be able to:

• Gain insight into AI applications in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI to identify network risks.
• Ensure ethical, explainable, and regulatory-compliant model deployment.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request a customized version of this course, please contact us to arrange it.

Artificial Intelligence serves as a strategic catalyst for mitigating risk, enhancing customer experience, and boosting operational efficiency within financial services.

This instructor-led live training (available online or onsite) is designed for executives in financial services, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. It aims to equip them with the knowledge to implement AI solutions responsibly and effectively within their institutions.

Upon completion of this course, participants will be able to:

• Grasp the strategic importance of AI in the financial sector.
• Identify and mitigate ethical risks linked to AI models.
• Navigate the regulatory framework governing AI in finance.
• Design robust frameworks for responsible AI governance and implementation.

Course Format

• Interactive lectures and group discussions.
• Analysis of case studies and collaborative exercises.
• Application of ethical frameworks to realistic financial scenarios.

Customization Options

• For customized training options, please contact us to arrange a session tailored to your needs.

Artificial Intelligence is reshaping how financial institutions approach risk management, strategic planning, compliance, and customer experience.

This instructor-led live training, available both online and onsite, targets intermediate-level professionals in finance and technology who want to grasp the strategic, ethical, and regulatory impacts of AI within the financial sector.

Upon completing this training, participants will be able to:

• Comprehend the strategic use of AI in financial services.
• Assess the ethical and regulatory consequences of implementing AI.
• Create frameworks for responsible AI governance and oversight.
• Align AI strategies with organizational objectives and compliance mandates.

Course Format

• Interactive lectures and discussions.
• Case studies and collaborative exercises.
• Practical analysis of real-world AI regulatory frameworks.

Customization Options

• To request a customized version of this course, please contact us to arrange it.

Artificial Intelligence offers a robust suite of techniques for creating intelligent trading systems capable of analyzing market data, generating forecasts, and executing strategies autonomously.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals looking to implement AI techniques in trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and algorithmic strategies.

Upon completion of this training, participants will be able to:

• Comprehend the role of AI within contemporary financial markets.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial datasets.
• Optimize investment portfolios using AI-driven methods.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

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

AI is revolutionizing WealthTech by facilitating highly customized financial services, intelligent advisory platforms, and improved user experiences.

This instructor-led, live training (available online or onsite) is designed for finance and technology professionals at an intermediate level who want to design, assess, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.

Upon completing this training, participants will be capable of:

• Grasping how AI is utilized in wealth management and digital advisory platforms.
• Developing intelligent systems tailored to deliver personalized portfolio recommendations.
• Integrating behavioral finance data and client preferences into advisory algorithms.
• Assessing ethical and regulatory issues surrounding automated investment advice.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live lab environment.

Course Customization Options

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

Applied AI brings new levels of efficiency and intelligence to the way finance professionals analyze and report on business performance.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to integrate AI tools into their financial statement workflows to enhance accuracy, automate repetitive tasks, and gain forward-looking insights.

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

• Automate data extraction from financial documents using AI tools.
• Apply machine learning models to analyze trends and anomalies in financial statements.
• Use generative AI to assist in variance commentary, narrative reports, and scenario simulation.
• Interpret AI-generated outputs responsibly in the context of finance reporting and planning.

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.

This instructor-led live training in the Netherlands (online or onsite) is designed for finance professionals who want to use ChatGPT to streamline their workflows and improve their data analysis and reporting capabilities.

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

• Understand the basics of ChatGPT and how it works.
• Use ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data with ChatGPT to gain insights and make informed decisions.
• Develop custom ChatGPT models for specific financial use cases.

Copilot for Microsoft 365 is an AI-driven assistant that integrates with Microsoft Office applications to help finance and accounting professionals enhance productivity, streamline reporting, and support decision-making.

This instructor-led, live training (online or onsite) is aimed at finance and accounting professionals with limited experience with AI who wish to leverage Microsoft Copilot to improve accuracy, efficiency, and insight in financial tasks.

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

• Create financial reports quickly and accurately using Copilot.
• Automate repetitive accounting and data-entry tasks.
• Generate financial summaries and forecasts with AI assistance.
• Use natural language prompts to extract insights from large financial datasets.

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 encompasses artificial intelligence techniques designed to create new content or predictions based on existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led training, available either online or onsite, targets beginner to intermediate finance professionals interested in leveraging generative AI for forecasting, anomaly detection, and compliance within financial services.

Upon completion of this course, participants will be equipped to:

• Grasp the foundational principles underlying generative AI models.
• Implement LLMs and GANs for practical applications such as fraud detection and synthetic data creation.
• Craft effective prompts to support financial forecasting and reporting.
• Assess ethical and regulatory challenges associated with generative AI implementations.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and hands-on practice.
• Practical implementation within a live laboratory environment.

Customization Options

• For customized training arrangements, please contact us directly.

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, enabling persistent state management and precise execution control.

This instructor-led, live training session, available either online or onsite, is designed for intermediate to advanced professionals looking to design, implement, and manage LangGraph-based financial solutions with a focus on proper governance, observability, and compliance.

Upon completion of this training, participants will be equipped to:

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and supporting tools.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to meet performance, cost, and SLA targets.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a tailored version of this course, please contact us to arrange.

Machine Learning represents a specialized branch of Artificial Intelligence dedicated to developing systems capable of learning from data to generate predictions or make decisions without explicit programming instructions.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals seeking to apply machine learning and AI methodologies to real-world challenges such as fraud detection, credit scoring, and risk modeling.

Upon completion of this training, participants will be able to:

• Grasp the fundamental machine learning concepts pertinent to the finance sector.
• Apply supervised and unsupervised learning algorithms to financial datasets.
• Construct and assess predictive models for credit risk, fraud detection, and market analysis.
• Utilize Python and scikit-learn to implement machine learning pipelines.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training the Netherlands (available online or onsite) targets intermediate-level finance professionals, data analysts, risk managers, and AI engineers seeking to leverage multimodal AI for risk analysis and fraud detection.

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

• Understand the application of multimodal AI in financial risk management.
• Analyze structured and unstructured financial data for fraud detection.
• Implement AI models to identify anomalies and suspicious activities.
• Leverage NLP and computer vision for financial document analysis.
• Deploy AI-driven fraud detection models in real-world financial systems.