Finance Training in Apeldoorn

The Cost Center module covers routines and practices for managing overhead, calculating BOM costs, and determining product-level costing across manufacturing and service operations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to configure, operate, and validate cost center routines within enterprise environments.

Upon completing this course, participants will gain the ability to:

• Create, configure, and maintain cost centers aligned with organizational structures.
• Build and validate BOM costing using standard, activity-based, and overhead allocation methods.
• Integrate machine hours, operator hours, and labor metrics into cost center calculations.
• Apply absorption costing principles to ensure accurate product and period-end valuations.

Format of the Course

• Guided instruction with case-based demonstrations.
• Hands-on costing exercises and spreadsheet-based modeling.
• Application-focused labs simulating real costing and reconciliation workflows.

Course Customization Options

• For tailored content, industry-specific costing models, or ERP platform alignment, please contact us.

CONTPAQi Nóminas is a leading payroll management software in Mexico designed to automate salary calculations, deductions, and tax reporting in compliance with labor and fiscal regulations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level payroll and HR professionals who wish to learn how to configure, manage, and maintain payroll operations using CONTPAQi, while ensuring compliance with Mexican labor and tax law.

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

• Understand core payroll concepts, including salary structure, benefits, and deductions.
• Configure and manage payrolls efficiently using CONTPAQi Nóminas.
• Ensure compliance with Mexican labor, IMSS, and SAT requirements.
• Generate reports, receipts, and electronic files for tax and auditing purposes.

Format of the Course

• Interactive lecture and demonstration.
• Hands-on exercises with CONTPAQi Nóminas.
• Guided practice based on real-world payroll scenarios.

Course Customization Options

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

This course provides a comprehensive overview of institutional due diligence frameworks for financial institutions, combining regulatory, financial, operational, and ethical dimensions of compliance. It integrates Common Reporting Standard (CRS) requirements with broader due diligence modules across management, governance, technology, and business operations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level compliance, risk, and operations professionals who wish to implement a holistic due diligence program aligned with international best practices and jurisdictional standards.

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

• Understand and apply due diligence principles across institutional, financial, legal, and operational domains.
• Implement CRS and FATCA-aligned due diligence for tax-residency verification and reporting.
• Integrate governance, ESG, and business integrity measures into compliance systems.
• Develop risk-based due diligence frameworks that include management, marketing, and IT functions.
• Prepare internal teams for audits, regulatory reviews, and continuous improvement cycles.

Format of the Course

• Interactive lecture and discussion.
• Case studies and group exercises.
• Hands-on practice using mock due diligence documentation and workflows.

Course Customization Options

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

CRS is the OECD standard for the automatic exchange of financial account information between jurisdictions, designed to combat cross-border tax evasion by obliging financial institutions to identify and report accounts held by foreign tax residents

This instructor-led, live training (online or onsite) is aimed at intermediate-level compliance and operational professionals who wish to implement robust CRS-focused policies, perform accurate tax-residency due diligence, and align internal processes with FATCA-like reporting requirements.

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

• Explain the CRS reporting framework, key definitions, and jurisdictional obligations under the OECD standard.
• Apply the CRS due diligence procedures (including indicia searches and self-certification handling) to identify reportable accounts accurately.
• Map and align internal KYC/AML workflows to meet CRS requirements and related FATCA-like obligations.
• Design controls, data workflows, and reporting processes to produce compliant CRS submissions.

Format of the Course

• Interactive lecture and discussion.
• Practical exercises and template-based labs (self-certification review, indicia assessment).
• Hands-on implementation examples for operationalizing CRS in onboarding and reporting systems.

Course Customization Options

• To request a customized version of this course (jurisdiction-specific rules, systems integration, or deeper FATCA comparison), please contact us to arrange.

Financial well-being is the capacity to make informed financial decisions that ensure long-term stability and growth.

This instructor-led, live training (online or onsite) is aimed at administrative staff who wish to deepen their understanding of financial planning, savings, and automation for long-term sustainability.

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

• Promote prevention through insurance, pensions, and retirement funds.
• Plan long-term strategies for voluntary savings and investments.
• Understand debt management and credit bureaus from a risk perspective.
• Use financial automation tools to streamline personal financial management.

Format of the Course

• Interactive lecture and discussion.
• Group case analysis.
• Practical application of financial planning tools.

Course Customization Options

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

Financial well-being is the practice of managing personal resources effectively to promote stability and security.

This instructor-led, live training (online or onsite) is aimed at operational staff who wish to gain practical tools and knowledge to improve financial health and reduce risks.

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

• Identify key areas of financial prevention and planning.
• Build emergency funds and voluntary savings.
• Understand credit bureaus and manage debt effectively.
• Explore options for savings, insurance, and pensions (Afores, Infonavit, PPR).

Format of the Course

• Interactive lecture and discussion.
• Case studies and group reflection.
• Practical tips and checklists.

Course Customization Options

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

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at beginner-level non-finance professionals who wish to have a foundational understanding of financial and accounting principles that are essential for effective decision-making in business.

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

• Understand basic financial and accounting concepts that are essential for business decision-making.
• Interpret and analyze financial statements such as income statements, balance sheets, and cash flow statements.
• Apply key financial ratios to assess the financial health of a business.
• Develop and manage budgets and perform variance analysis to monitor business performance.
• Use break-even analysis to support operational and strategic decisions.

IFRS 17 is the International Financial Reporting Standard on accounting for insurance contracts, replacing IFRS 4. It provides a consistent framework for recognizing, measuring, presenting, and disclosing insurance contracts.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance and insurance professionals who wish to apply IFRS 17 for reporting, compliance, and performance analysis.

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

• Apply IFRS 17 principles in preparing financial statements.
• Interpret and analyze the impact of IFRS 17 on insurance contracts and company performance.
• Implement measurement models and disclosure requirements effectively.
• Ensure compliance with IFRS 17 while improving reporting transparency.

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and financial analysis practice.
• Hands-on application to real-world reporting scenarios.

Course Customization Options

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

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at application consultants and business process owners who wish to learn how to configure business processes for SAP S/4 HANA financials module.

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

• Understand the basic customizing settings in the main components of Financial Accounting with SAP S/4HANA.
• Configure the master data settings (G/L accounts, customer and vendor accounts) of FA with SAP S/4HANA.
• Configure document control, posting control, and financial document clearing settings of FA with SAP S/4HANA.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at intermediate-level professionals who wish to utilize QuickBooks to optimize accounts payable, receivable, payroll, and financial reporting tailored to their specific industry needs.

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

• Navigate QuickBooks features relevant to financial and administrative tasks.
• Manage accounts payable and receivable efficiently.
• Generate and track invoices for various client and vendor workflows.
• Automate payroll processes and manage employee benefits.
• Create customized financial reports for analysis and decision-making.
• Optimize QuickBooks features to improve organizational efficiency.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at intermediate-level legal professionals who wish to gain a comprehensive understanding of FATF recommendations, with a balanced mix of theoretical knowledge and practical applications.

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

• Understand the history, purpose, and structure of FATF and its recommendations.
• Identify and explain the key concepts of money laundering and terrorist financing.
• Analyze and interpret the 40 FATF recommendations and their implications.
• Develop and implement effective compliance programs and risk assessments.
• Navigate the challenges of international cooperation and compliance monitoring.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at advanced-level cloud financial management professionals who wish to validate their expertise in financial operations (FinOps) related to cloud cost management.

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

• Gain advanced knowledge required for the FinOps Certified Professional exam.
• Understand complex FinOps practices, including cost optimization, budget management, and reporting.
• Develop practical skills in applying FinOps strategies in real-world scenarios.
• Prepare for a successful completion of the FinOps Certified Professional exam.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at intermediate-level legal professionals who wish to gain a deep understanding of the mutual evaluation process, from preparation to follow-up, with practical applications and real-world case studies.

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

• Gain an in-depth understanding of the FATF Recommendations, including technical compliance and effectiveness criteria.
• Learn how to effectively prepare for a mutual evaluation, including organizing national efforts, gathering documentation, and engaging stakeholders.
• Develop skills to conduct thorough and accurate on-site evaluations, including interview techniques, data collection, and stakeholder engagement.
• Utilize advanced analytical techniques and tools to support the mutual evaluation process.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at intermediate-level finance professionals who wish to gain a comprehensive knowledge of FinOps principles and methodologies, including cloud financial management, optimization strategies, and collaboration among finance, engineering, and business teams.

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

• Understand the FinOps framework, principles, and phases.
• Manage cloud costs effectively through data analysis and governance.
• Collaborate between finance, engineering, and business units to align cloud spend.
• Use FinOps tools for cost allocation, forecasting, and optimization.
• Prepare for the FinOps Certified FOCUS Analyst exam.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at beginner-level banking professionals who wish to gain in-depth knowledge and skills in using the SWIFT network for handling international bank transfers.

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

• Understand the SWIFT network and decode SWIFT codes.
• Navigate SWIFT messages and execute international transfers.
• Learn about the potential risks associated with international transfers and how to mitigate these risks.
• Explore advanced SWIFT services and understand how they improve the speed, transparency, and traceability of cross-border payments.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at finance and legal professionals who wish to learn the principles and practices of extrajudicial and judicial collection, enabling them to effectively manage and resolve collection issues.

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

• Understand the advantages and disadvantages of extrajudicial and judicial collection.
• Apply the main methods and techniques of extrajudicial and judicial collection.
• Evaluate the effectiveness and efficiency of extrajudicial and judicial collection.
• Deal with the legal and ethical issues involved in extrajudicial and judicial collection.
• Integrate extrajudicial and judicial collection in a comprehensive and coherent way.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at beginner-level financial analysts who wish to learn how to use OneStream for financial analysis, reporting, and data-driven decision-making, and prepare for relevant OneStream certifications.

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

• Understand the core functionalities of OneStream XF.
• Navigate the OneStream interface and workspace.
• Load, transform, and validate financial data.
• Build and analyze financial reports and dashboards.
• Use OneStream’s workflow automation features for financial planning and consolidation.
• Prepare for OneStream certification exams (e.g., OneStream Certified Professional - Financial Modeler (OCP-FM), OneStream Implementation Consultant, etc.).

This course is designed for organizations seeking to optimize their processes by integrating different digital platforms used in daily operations, such as Trello, QuickBooks, Google Workspace, and the WhatsApp API.

This instructor-led, live training (online or onsite) guides participants through the process of connecting and automating workflows, improving project and financial control, and centralizing information to enhance decision-making.

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

• Connect and automate workflows between Trello, QuickBooks, and Google Workspace.
• Integrate communication via WhatsApp API with operational workflows.
• Design multi-platform automation systems focused on efficiency and control.
• Implement security and monitoring policies for active integrations.
• Document and maintain automated processes in operation.

Format of the Course

• Conceptual explanations and guided demonstrations.
• Practical exercises applied to real-world operational scenarios.
• Hands-on practice using company-specific data and tools.

Course Customization Options

• Adapting the content to the company’s specific platforms and processes.
• Including additional tools such as Zapier, Make/Integromat, or Power Automate.
• Analyzing and designing real data integration flows.

During the training, will present the issues of financial analysis using the advanced features of Excel.

This course is intended for financial analysts, accountants and all those who want to expand their skills spreadsheet with issues of financial analysis.

R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems.

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

• Understand the fundamentals of the R programming language
• Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
• Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
• Troubleshoot, integrate deploy and optimize an R application

Audience

• Developers
• Analysts
• Quants

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.

Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.

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

• Understand the fundamentals of the Python programming language
• Download, install and maintain the best development tools for creating financial applications in Python
• Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
• Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
• Troubleshoot, integrate, deploy, and optimize a Python application

Audience

• Developers
• Analysts
• Quants

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.

Audience

All Senior Management who need a working knowledge of AML / CTF and their prevention – and an awareness of the other relevant and current Financial Crime issues;

Format of the course

A combination of:

• Facilitated Discussions
• Slide Presentations
• Case Studies
• Examples

Course Objectives

By the end of this course, delegates will be able to:

• Explain how AML and CTF might be prevented
• Understand the major facets of AML and CTF as they apply to their companies and the national and international efforts being made to combat them
• Define the ways in which a company and its staff should protect themselves against the risks of Money Laundering and Terrorist Financing
• Detail how a company might become a target for Money Laundering and Terrorist Financing: and explain which “red flags” might help them to identify, prevent and report any (suspicious or actual) criminal activity
• Understand some of the other “hot spots” in Financial Crime

Audience

• Newly-appointed Personal Lending Managers
• Support staff responsible for gathering and interpreting information for the lending managers
• Staff responsible for the management of bad and doubtful debts who need a working knowledge of the decision-making process which led to the lending being made

Lending to Personal Customers – Consumer Lending – demands a high-level of skill in the assessment of individual lending proposals.

In many cases it has none of the sources of financial information traditionally associated with Corporate Lending – Balance Sheets, Profit & Loss Accounts etc. – and relies more on the trust and rapport built up between the customer and the lender.

By the end of this course lenders to Personal Customers will be able to:

• Understand the process for assessing lending propositions from Personal Customers
• Utilise that process to come to a logical decision to agree to the loan or to decline it with robust reasons
• Manage and control a Personal Lending portfolio to ensure, as far as possible, that all loans are repaid in full. (Remembering that there’s no completely risk-free lending…!)
• Build rapport with customers to (try to!) ensure that all their loans are fully repaid

Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability.

In this instructor-led, live training, participants will learn how to implement deep learning models for banking using Python as they step through the creation of a deep learning credit risk model.

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

• Understand the fundamental concepts of deep learning
• Learn the applications and uses of deep learning in banking
• Use Python, Keras, and TensorFlow to create deep learning models for banking
• Build their own deep learning credit risk model using Python

Audience

• Developers
• Data scientists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training (online or onsite) is aimed at managers who wish to identify and minimize the risk of fraud faced by eCommerce merchants.

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

• Understand how eCommerce fraud occurs.
• Analyze vulnerabilities in their company's eCommerce platform and processes.
• Assess a company's 'readiness' for adopting new anti-fraud measures
• Communicate and incorporate appropriate anti-fraud policies.

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 Apeldoorn (online or onsite) is aimed at financial professionals in US and non-US institutions who wish to understand the legal, compliance and enforcement aspects of FATCA so as to maintain compliance with US tax authorities (IRS).

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

• FATCA's impact on global tax compliance and financial transparency.
• FATCA's due diligence and reporting requirements.
• FATCA's most important legal aspects and how to ensure compliance.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud.

By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.

GnuCash is an open-source, cross-platform, double-entry accounting system designed for personal and small business finance management. It supports comprehensive accounting features including invoicing, expense tracking, reconciliation, and financial reporting. GnuCash integrates with online banking, supports multiple currencies, and allows exporting and importing in various data formats such as QIF, OFX, and CSV.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level business professionals who wish to manage and automate accounting, billing, and reporting processes using GnuCash effectively.

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

• Install, configure, and customize GnuCash for business use.
• Set up business accounts and manage transactions using double-entry principles.
• Generate financial statements and reports for analysis and auditing.
• Integrate GnuCash with banks, external systems, and online data sources.
• Automate recurring transactions and manage multi-currency operations.

Format of the Course

• Interactive lecture and discussion.
• Practical exercises and real-world business examples.
• Hands-on configuration and data entry in a live-lab environment.

Course Customization Options

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

Introduction to Structured Products

The purpose of the course is to provide delegates with an introduction to the Structured Products used in investment banking. On completion of the course all delegates will have a working knowledge of the subject and will be able answer

1. What are structured products?
2. Why issue them?
3. How do issuers and investors benefit?
4. How do you structure and price a range of derivative products?
5. What are the risks and costs of producing structured financial products?
6. What are embedded derivatives?
7. What are exotic options?
8. What are the pricing and hedging considerations?

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at managers who wish to gain a working understanding the IFRS 17 standard.

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

• Identify the key requirements of IFRS 17.
• Know the differences between IFRS 17 and IFRS 4.
• Understand IFRS rules.
• Understand financial models and their numbers.
• Dissect and understand different types of insurance contracts and accounting models.
• Prepare a well-informed transition plan and schedule.
• Implement IFRS 17 within an organization.
• Identify and measure insurance contract performance.

This instructor-led, live training (onsite or remote) is aimed at accountants and bookkeepers who wish to use Xero for bookkeeping.

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

• Get a real-time view of cashflow.
• Link bank accounts to Xero for bank reconciliation.
• Prepare and check VAT (Value Added Tax) returns in Xero.
• Create reports for sharing amongst team members.

Audience

All staff who need a working knowledge of Compliance and the Management of Risk

Format of the course

A combination of:

• Facilitated Discussions
• Slide Presentations
• Case Studies
• Examples

Course Objectives

By the end of this course, delegates will be able to:

• Understand the major facets of Compliance and the national and international efforts being made to manage the risk related to it
• Define the ways in which a company and its staff might set up a Compliance Risk Management Framework
• Detail the roles of Compliance Officer and Money Laundering Reporting Officer and how they should be integrated into a business
• Understand some other "hot spots" in Financial Crime – especially as they relate to International Business, Offshore Centres and High-Net-Worth Clients

This course provides a comprehensive introduction to the MATLAB technical computing environment + an introduction to using MATLAB for financial applications. The course is intended for beginning users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Topics include:

• Working with the MATLAB user interface
• Entering commands and creating variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Working with data files
• Working with data types
• Automating commands with scripts
• Writing programs with logic and flow control
• Writing functions
• Using the Financial Toolbox for quantitative analysis

Machine Learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications.

In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry.

Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects.

Audience

• Developers
• Data scientists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications.

In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry.

Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects.

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

• Understand the fundamental concepts in machine learning
• Learn the applications and uses of machine learning in finance
• Develop their own algorithmic trading strategy using machine learning with Python

Audience

• Developers
• Data scientists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at developers who wish to use Open Bank Project API to develop and test decentralized applications that can be integrated easily with digital banking systems.

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

• Set up the necessary development environment to start developing applications with OBP API.
• Understand the Open Bank Project architecture, technology, and concepts.
• Learn how to use and customize OBP API to develop and build applications for banking.
• Explore the features, tools, APIs, and sandboxes in OBP.
• Implement security and integrations in OBP API connectors and adapters.

Why should you attend?

We live and work in an increasingly global market which offers opportunities at every turn which we need to take. However, with those opportunities come increased competition and most of the complexities remain in place. Knowing the best ways to find and select the most suitable and competitive price for your product or services is crucial to the success and growth of any business. The knowledge, techniques and strategies that you gain during our training will enable you to increase profitability and effectiveness of your business.

Turning theory into practice:

The purpose behind this 1-day training course is to simplify and explain the successful strategies of pricing. You’ll leave our event more confident and more positive to continue and expand your business. We will provide you with the strategies and the best practice examples to improve and expand your knowledge about pricing and to make your plans and targets come true.

Who should attend?

This course is designed for sales managers, marketing managers, product managers, account managers, pricing analysts & managing directors. This course is also vital for executives who are new to pricing or who have limited experience of the subject.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at finance managers, controllers, and accountants who wish to explore QAD's advanced features to manage and report financials.

By the end of this training, participants will be able to manage, report, consolidate, and streamline manufacturing accounts and financial data.

This instructor-led, live training in Apeldoorn (online or onsite) is aimed at developers who wish to monetize a website or web application using the Stripe API.

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

• Set up the necessary development environment to start developing.
• Build an application that integrates payment processing features such as Checkout, Payment Intents, and Billing.

Structured products are investments comprised of multiple components.

Your engineers are the architects of the digital transformation journey for your clients. This proposal outlines a 3-Day Technical Deep Dive designed specifically for developers and technical architects. We move beyond the "why" and focus on the "how": how to architect decentralized ledgers, how to write secure Smart Contracts for Supply Chain Finance (SCF) logic, and how to integrate these decentralized layers with existing enterprise ERPs.

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

• Architect DLT Solutions: Distinguish between and select the appropriate Layer-1/Layer-2 solutions (Ethereum, Hyperledger Fabric, Polygon) for enterprise SCF use cases.
• Develop Smart Contracts: Write, compile, and deploy Smart Contracts (e.g., Solidity or Chaincode) that automate factoring, invoice approval, and settlement.
• Implement Tokenization: Engineer the ERC-20/ERC-721/ERC-1155 token standards to represent real-world assets (invoices/inventory) on-chain.
• Bridge Web2 & Web3: Design the integration layer using Oracles (e.g., Chainlink) to fetch off-chain data (logistics APIs) to trigger on-chain payments.