Artificial intelligence is advancing faster than the rules designed to contain it — which is why organizations are suddenly being asked to navigate a landscape where legislation, technical governance, and real-world practice collide. AI Regulation and Compliance steps into that space, translating complex frameworks into something operational, measurable, and workable for the people who rely on AI every day.
Our instructor-led live training courses follow the rhythm of modern governance: risk classification, transparency obligations, data-handling standards, human oversight expectations, and the shifting responsibilities that fall on deployers, providers, and end users. Participants examine how policies like the EU AI Act, ISO/IEC 42001, NIST AI RMF, and emerging national regulatory models shape day-to-day decisions — from procurement to design to frontline use.
Online live training delivers these concepts through an interactive remote desktop, giving teams space to test documentation workflows, evaluate compliance scenarios, and practice governance tasks in a controlled environment.
Onsite sessions in Gent, whether at customer premises or within NobleProg training centers, bring regulation into the physical workspace — allowing participants to map obligations directly onto existing processes, sector requirements, and organizational culture.
Also known as AI Governance, AI Compliance, or AI Regulatory Readiness, this course track prepares professionals to interpret obligations, reduce risk exposure, and align organization AI usage with the rapidly evolving legal landscape.
NobleProg — Your Local Training Provider
Gent
Hotel NH Gent Belfort, Hoogpoort 63, Gent, België, 9000
Er zijn 10 zalen, waarvan 3 met natuurlijk daglicht.
De grootste zaal biedt plaats aan maximaal 400 personen in theateropstelling voor vergaderingen, maar we kunnen er ook een geweldige ruimte van maken voor een huwelijksreceptie.
En als u cocktails of een andere speciale gebeurtenis in gedachten heeft, laat ons u dan zeker onze prachtige gewelfde kelder zien
The EU AI Act is a comprehensive regulatory framework that establishes obligations for organisations building, deploying, or overseeing AI systems.
This instructor-led, live training (online or onsite) is aimed at intermediate-level governance, compliance, and risk professionals who wish to build, evaluate, and maintain AI governance programs aligned with the EU AI Act.
Following completion of this course, participants will be able to:
Interpret regulatory obligations and map them to internal controls.
Develop documentation, governance mechanisms, and compliance workflows.
Assess AI risks, monitor systems, and perform ongoing compliance checks.
Prepare the organisation for internal and external audits under the EU AI Act.
Format of the Course
Regulatory briefings with real-world examples.
Hands-on exercises in mapping controls and drafting compliance documents.
Workshop-style activities for risk analysis and audit preparation.
Course Customization Options
This course can be adapted to the organisation’s sector, regulatory exposure, and AI maturity level.
The EU AI Act is a regulatory framework designed to ensure trustworthy, safe, and transparent deployment of AI systems.
This instructor-led, live training (online or onsite) is aimed at beginner-level and intermediate-level managers who wish to understand organisational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.
Upon completion of this course, participants will be able to:
Interpret the EU AI Act’s requirements in a management context.
Define strategic priorities and investment areas to support compliance.
Establish governance structures, accountability lines, and oversight mechanisms.
Communicate obligations, risks, and expectations across business units.
Format of the Course
Instructor-led presentations supported by case studies.
Group discussions and scenario-based decision-making activities.
Practical exercises focused on governance planning and documentation.
Course Customization Options
The curriculum can be adapted to your organisation’s sector, maturity level, and governance model.
This course is a technical, hands-on programme that shows how to implement engineering controls, observability, and automation required to meet the EU AI Act compliance obligations.
This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to implement secure, auditable pipelines and runtime safeguards to demonstrate compliance with Article 4 and related obligations.
After completing this training, participants will be able to:
Design CI/CD pipelines that incorporate governance checks and automated tests for prohibited practices.
Implement logging, monitoring, and audit trails to produce compliance evidence.
Apply technical mitigations for high-risk behaviours and configure runtime safeguards.
Prepare technical documentation and artifacts required for conformity assessments and audits.
Format of the Course
Technical lectures with architecture diagrams and demonstrations.
Hands-on labs building CI/CD pipelines and monitoring stacks.
Practical exercises producing documentation and audit artifacts.
Course Customization Options
Content can be tailored to your organisation’s toolchain, cloud provider, and internal compliance workflows.
The EU AI Act is a regulatory framework that sets rules for the development, deployment, and use of AI systems within the EU and for services offered to EU users.
This instructor-led, live training (online or onsite) is aimed at beginner-level end users who wish to understand their obligations and safe practices under the EU AI Act.
Upon completion of this training, participants will be able to:
Identify prohibited AI practices under Article 4 and recognise examples in workplace systems.
Follow organisational policies and safe-use procedures when interacting with AI systems.
Report incidents, biases, or unexpected model behaviour through the correct channels.
Document simple compliance evidence required by supervisors or auditors.
Format of the Course
Interactive presentations with plain-language explanations of legal requirements.
Role-specific exercises and realistic workplace scenarios.
Guided practice in reporting incidents and completing simple compliance checklists.
Course Customization Options
Content can be tailored to reflect your organisation’s AI inventory, policies, and reporting channels.
AI en Machine Learning zijn snel evoluerende technieken met grote implicaties voor gegevensbeheer en organisatorische naleving.
Deze door een instructeur geleide, live training (online of op locatie) is gericht op intermediere professionals op het gebied van governance, privacy en naleving die willen leren hoe ze robuste informatiebeheerspraktijken kunnen implementeren in omgevingen die gebruik maken van AI en machine learning.
Aan het einde van deze training kunnen de deelnemers:
De kernconcepten van AI en machine learning in een informatiebeheerscontext begrijpen.
Typische gebieden identificeren waar AI/ML in organisaties wordt ingezet en de daarmee verbonden IG-risico's.
Evalueren hoe AI/ML samenwerkt met de principes van gegevensbescherming, archiefbeheer en gegevenskwaliteit.
DPIA's, governance-frameworks en risicominderingsbenaderingen toepassen op AI/ML-projecten.
Formaat van de cursus
Interactieve colleges en discussies.
Reële casusvoorbeelden en framework-analyse.
Groepsactiviteiten en begeleide documentdoorgangen.
Aanpasbare cursusopties
Neem contact met ons op om een aangepaste training voor deze cursus aan te vragen.
Deze door een instructeur geleide live training (online of op locatie) is gericht op AI-professionals op intermediair niveau, bedrijfsleiders en compliance-officieren die ethische praktijken in AI-systemen willen begrijpen en implementeren. De cursus behandelt belangrijke ethische kaders, regelgevende normen zoals de EU AI Act, en praktische technieken voor het auditeren van AI-systemen om bias te verminderen en transparantie te bevorderen.
Deelnemers zullen aan het einde van deze training in staat zijn om:
De kernprincipes van verantwoord AI te begrijpen, waaronder rechtvaardigheid, verantwoording en transparantie.
Bias binnen AI-systemen te identificeren en te verminderen.
Ethische kaders te implementeren en AI-audits uit te voeren voor naleving.
Governance-strategieën toe te passen om ethische risico's bij de inzet van AI te beheren.
AIGP training leert hoe betrouwbare AI-systemen te ontwikkelen, integreren en implementeren in overeenstemming met opkomende wetten en beleid. Het curriculum biedt een overzicht van AI-technologie, een enquête van huidige wetgeving en strategieën voor risicobeheer, veiligheids- en veiligheidsoverwegingen, privacybescherming en andere onderwerpen.
Fundamentele kennis opbouwen van AI-systemen en hun toepassingen, de impact van AI en begrip van principes voor verantwoordelijke AI.
Een begrip tonen van hoe huidige en opkomende wetten van toepassing zijn op AI-systemen en hoe belangrijke kaders verantwoordelijk kunnen worden bestuurd.
Begrip tonen van de AI-levenscyclus, de context waarin AI-risico's worden beheerd en de implementatie van verantwoordelijke AI-governance.
Biedt bewustzijn van onverwachte zorgen over AI en kennis van omstreden kwesties rond AI-governance.
Deze training leert kritische AI-governanceconcepten die ook integraal zijn voor het AIGP-certificeringsexamen. Hoewel dit geen puur "toetsvoorbereidingscursus" is, is deze training geschikt voor professionals die willen certificeren, evenals voor diegenen die hun AI-governancekennis willen verdiepen. Zowel de training als het examen zijn gebaseerd op hetzelfde kennisgebied.
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