EXIN VFB Functioneel Beheer en AI study materials
EXIN VFB Functioneel Beheer en AI study resources

EXIN VFB Functioneel Beheer en AI study plan

EXIN VFB Functioneel Beheer en AI · Give each week a clear focus.

8 weeks · About 6 hours per week

Week 1

Positionering van functioneel beheer en de rol van AI & Informatievoorziening en informatiemanagement

  • Describe in your own words how the functioneel beheerder position sits between business and IT, and name at least four interfaces with other roles

  • Explain the difference between information provisioning (informatievoorziening) and information management (informatiemanagement) using an example from your own organisation

  • Map the primary business processes of one case organisation and mark where information systems support them

  • Define at least ten core terms from both domains in a personal glossary

Your checkpoint

A one-page role and interface map plus a glossary of at least ten terms, both written in your own words

Week 2

Processen en werkwijzen binnen functioneel beheer & Informatievoorziening en informatiemanagement

  • Work through the process cycle of change management, incident management and problem management and state per process which activities belong to functioneel beheer

  • Write out how a requirements process runs from demand to acceptance, including who signs off at each step

  • Distinguish user management and authorisation tasks from technical application management

  • Explain how the information architecture and the business information model steer functional design choices

Your checkpoint

A process description of one complete change request in which every step, owner and decision point is named

Week 3

Processen en werkwijzen binnen functioneel beheer & AI-toepassingen en use cases in functioneel beheer

  • Identify at least five concrete use cases where AI can support functional management tasks and rank them by expected value

  • Analyse one use case in depth: describe input data, model type, output and the human check in the process

  • Distinguish generative AI, classification and rule-based automation and explain when each fits a functional management task

  • Draft acceptance criteria for an AI-supported function in a change process

Your checkpoint

A use case register with at least five use cases, each with value, risk and a first feasibility judgement

Week 4

AI-toepassingen en use cases in functioneel beheer & Datakwaliteit, governance en compliance bij AI

  • Set up a data quality analysis for one dataset used in an AI use case, using completeness, accuracy, consistency and timeliness

  • Explain the difference between data governance and AI governance and name the roles that belong to each

  • Identify which privacy risks (GDPR) and security risks play a role in your chosen use case

  • Propose at least three concrete control measures to improve data quality

Your checkpoint

A data quality and risk analysis of one dataset with at least three control measures

Week 5

Datakwaliteit, governance en compliance bij AI & Ethische, juridische en organisatorische aspecten van AI

  • Explain how the GDPR requirements for transparency, purpose limitation and data minimisation apply to an AI application in functional management

  • Describe the principles of the EU AI Act by risk category and place your own use case in a category

  • Analyse at least two ethical dilemmas in AI use, such as bias, autonomy or accountability, and take a reasoned position

  • State who within the organisation is accountable for the output of an AI system and how this is recorded

Your checkpoint

A compliance and ethics memo of one page that places one use case in the AI Act risk category and names the accountability

Week 6

Positionering van functioneel beheer en de rol van AI & AI-toepassingen en use cases in functioneel beheer

  • Describe how the role of functioneel beheer changes when AI components become part of the application landscape

  • Draft a requirements specification for an AI-supported function, including non-functional requirements for explainability and monitoring

  • Design a human-in-the-loop process for one AI output and describe the escalation path

  • Formulate at least five questions a functioneel beheerder must ask a supplier about an AI component

Your checkpoint

A requirements specification for one AI-supported function with at least five supplier questions

Week 7

Processen en werkwijzen binnen functioneel beheer & Datakwaliteit, governance en compliance bij AI & Ethische, juridische en organisatorische aspecten van AI

  • Convert governance and compliance requirements into concrete process agreements within functional management

  • Write an escalation procedure for incidents involving AI output, including who assesses impact

  • Design a periodic review of an AI application: what is measured, how often and by whom

  • Test your agreements against one realistic scenario and note the gaps

Your checkpoint

A governance and review document with an incident escalation procedure and a periodic review schedule

Week 8

Positionering van functioneel beheer en de rol van AI & Informatievoorziening en informatiemanagement & Processen en werkwijzen binnen functioneel beheer & AI-toepassingen en use cases in functioneel beheer & Datakwaliteit, governance en compliance bij AI & Ethische, juridische en organisatorische aspecten van AI

  • Repeat all domains using a weighted question set and score at least 75 percent

  • Explain every wrong answer and write down the correct reasoning in your own words

  • Summarise the mutual relationships between the six domains on one sheet

  • Rehearse the role of functioneel beheerder in an AI-driven change in a short presentation to a colleague or study partner

Your checkpoint

A practice exam result of at least 75 percent plus a one-page overview of the relationships between the domains

Milestones

Week 2: You can explain the role and interfaces of functioneel beheer and the process cycle of change, incident and problem management without notes, and your glossary has at least ten terms

Week 4: Your use case register contains at least five use cases and your data quality analysis names at least three control measures; you can explain the difference between data governance and AI governance

Week 6: You can place a self-chosen use case in the right AI Act risk category, name the accountability, and your requirements specification contains explainability and monitoring requirements

Week 8: You score at least 75 percent on a weighted practice question set across all six domains and can explain every wrong answer