Opleidingen
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Introduction to AI in Azure | AI-901 | AI901
Dynamic Virtual Classroom - Engels
vr 4 sep. 2026
en 8 andere data
Introduction to AI in Azure | AI-901
This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It teaches a mix of AI concepts and technology skills that are considered foundational to a successful career implementing AI solutions on Microsoft Azure.
Deze Fundamentals training is geen vereisten om te starten met de Azure Associate certificeringen.
Doelstellingen
– Describe Artificial Intelligence workloads and considerations
– Describe fundamental principles of machine learning on Azure
– Describe features of computer vision workloads on Azure
– Describe features of Natural Language Processing (NLP) workloads on Azure
– Describe features of conversational AI workloads on Azure
Voorkennis
Some knowledge of Python coding syntax and programming techniques is useful. Additionally, knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization is recommended.
Voor wie
This course is for aspiring technology professionals at the beginning of their career in AI solution development.
Inhoud
– AI concepts for developers and technology professionals
– Get started with AI applications and agents on Azure
Exclusief examen
AI-901 | Microsoft Azure AI Fundamentals
DutchTrain is een officieel geaccrediteerd Test Center voor Pearson Vue Test, Prometric, Kryterion, Castle Worldwide, Certiport & PSI. U bent bij ons van harte welkom voor examens welke via deze Test Centers beschikbaar zijn. Examens kunnen elke dag, binnen kantooruren, worden afgenomen.
Duur
1 dag
Deze training is ook beschikbaar als
– Education On Demand (E-Learning)
– Maatwerktraining, neem hiervoor contact op met een van onze opleidingsadviseurs.
€750
Klassikaal
max 12
Inkomstenverrekening Participatiewet 2027
Utrecht
di 19 jan. 2027
De wijzigingen binnen de Participatiewet en de invoering van het transactiestelsel hebben grote gevolgen voor de manier waarop inkomsten worden vastgesteld en verrekend. Gemeenten krijgen te maken met nieuwe regels rondom inkomenstoerekening, bijzondere beloningen en uniforme berekeningen. In deze cursus krijg je inzicht in de actuele wet- en regelgeving én leer je hoe je deze correct toepast in de praktijk van de inkomensverrekening.
Doel van de cursus
Na afloop van deze cursus ben je in staat om inkomsten volgens de nieuwste wetgeving uniform en correct te verrekenen. Je begrijpt de systematiek van het transactiestelsel, kunt verschillende inkomenscomponenten juist beoordelen en weet hoe je omgaat met complexe praktijksituaties.
Programma
Inleiding uniforme inkomstenverrekening en wetswijzigingen Participatiewet per 1/1/2027
Het transactiestelsel: uitgangspunten en verschillen met het oude systeem
Toerekening van inkomen in de juiste periode
Uitzonderingen binnen artikel 32 lid 2 (sub a en b)
Omgaan met achteraf ontvangen inkomsten (zoals UWV, alimentatie, belasting)
Verrekening van vooruitbetaalde inkomsten
Toepassing van regels binnen IOAW en IOAZ
Uniforme vaststelling van netto-inkomen
Inhoudingen op inkomen volgens de regeling
Vakantiebijslag: nieuwe wijze van reserveren en verrekenen
Eindejaarsuitkering: verwerking en aandachtspunten
Keuzebudget en samenloop met andere inkomenscomponenten
Bijzondere beloningen en hun impact op de uitkering
Inkomstenvrijlatingen en toepassing in de praktijk
Ondersteuning Inkomstenverrekening Bijstand (OIB) en automatisering
Deze cursus combineert theorie met praktijkgerichte voorbeelden, zodat je de opgedane kennis direct kunt toepassen in je dagelijkse werk.
Doelgroep
Medewerkers uitkeringsadministratie
Klantmanagers inkomen / inkomensconsulenten
Kwaliteitsmedewerkers
Praktische informatie
De cursus duurt 1 dag
Tijd: 09:30-16.30 uur
Locatie: Utrecht
Je kunt kiezen voor een certificaat van deelname. Gemeenten kunnen de btw verrekenen via het btw-compensatiefonds.
Expertisecentrum en helpdesk
Heb je na de training nog vragen? Tot drie maanden na afloop van de cursus kun je gratis vragen stellen via e-mail. Het expertisecentrum helpt je graag verder.
€475
Klassikaal
max 15
HBO
Cisco AI Technical Practitioner [AITECH]
VIRTUAL TRAINING CENTER
do 1 okt. 2026
en 9 andere data
OVERVIEW
Accelerate your transition to AI-driven innovation by designing solutions, automating tasks, and leading teams using cutting-edge AI tools and methodologies.
The Cisco AI Technical Practitioner (AITECH) training is designed for technical professionals seeking to transition from traditional knowledge-based work to innovation-driven roles augmented by Artificial Intelligence (AI). This comprehensive program equips you with the skills to effectively design technical solutions, automate tasks, and lead technical teams using cutting-edge AI tools and methodologies. From AI-powered code generation and data analysis to advanced model customization and workflow automation, this training prepares IT and network engineers, data analysts, AIOPs specialists, solutions architects, technical leads, managers, and business process analysts to harness the full potential of AI within their organizations.
This training prepares you for the 810-110 AITECH v1.0 exam. If passed, you earn the AI Technical Practitioner certification. This training also earns you 8 Continuing Education (CE) credits toward recertification.
Updated 19/05/2026
OBJECTIVES
After this course participants should be able to:
Describe common Generative AI models, tools, and practical workflows
Apply a strategic framework to build a professional AI toolkit by evaluating platforms for enterprise readiness, analyzing AI service economics, and making the architectural decision between cloud and local deployment
Explain the importance of effective prompts and apply basic techniques to craft and refine prompts for improved Generative AI outputs
Develop multimodal business assets by utilizing generative AI tools to create and refine text, visual, and audio content
Apply security frameworks and governance practices to mitigate dataset bias, protect sensitive data, and neutralize AI-specific threats
Validate AI-generated outputs by identifying quality issues and biases, and applying specific techniques to correct those errors for professional use
Construct complex, multi-step prompts by applying advanced methodologies to manage ambiguity and elicit specific LLM responses
Apply generative AI tools to conduct research and synthesize information, and use AI as a catalyst for brainstorming
Explain the fundamental role of APIs in AI systems and the principles of secure API usage
Evaluate the impact of AI on software engineering workflows by analyzing its role in optimizing code quality, velocity, and lifecycle management
Conduct exploratory data analysis and transformation by utilizing generative AI tools to clean datasets and generative insights
Evaluate AI model customization strategies by differentiating between fine-tuning and RAG and analyzing local deployment architectures
Design directive AI-powered workflows and describe the architecture of autonomous agentic systems
AUDIENCE
This Course is intended for the following participants:
- IT and Network Engineers
- Data Analysts
- AIOPs Specialists
- Solutions Architects
- Technical Leads
- Managers
- Business Process Analysts
CERTIFICATION
Cisco AI Technical Practitioner (810-110 AITECH) v1.0 is a 60-minute exam associated with the AI Technical Practitioner certification.
This exam tests your knowledge and skills related to:
Generative AI models
Prompt engineering
AI ethics and security
Data research and analysis
AI for Code and Workflow Optimization
Agentic AI
NEXT STEP
None recommended
CONTENT
Generative AI Ecosystem
AI Architect’s Toolkit
Prompt Engineering for Technical Precision
AI-Driven Multimodal Asset Creation
Generative AI Security and Privacy Fundamentals
Debugging and Correcting AI-Generated Outputs
Advanced Prompting Strategies
AI-Powered Discovery and Synthesis
AI Systems Integration with APIs
AI-Driven Software Engineering
AI for Data Engineering and Exploration
Customizing AI Models
AI-Powered Workflows and Agentic AI
€1.830
Klassikaal
max 16
ITIL® (Version 5) Foundation Bridge E-Learning Bundle (On-line proctored Exam, Official certification e-Book, Official Training Material, Learner Kit, eLearning 12-month access) [PC-ITIL5-B]
OVERVIEW
This course is designed to bring you up to speed on the enhancements added in the ITIL® (Version 5) Foundation, assuming you have experience/certification in the previous ITIL® 4. This is also a chance to upgrade your current certification to the new Version 5 in only 1 day.
ITIL® is a registered trademark of the PeopleCert group. Used under licence from PeopleCert. All rights reserved.
Updated 10/6/2026
e-Learning
Interactive self-paced content that provides flexibility in terms of pace, place and time to suit individuals and organisations. These resources also consist of online books, educational podcasts and vodcasts, and video-based learning.
OBJECTIVES
After you complete this course you will be able to:
Define digital product and service management concepts
Explain value and value co-creation principles
Distinguish outputs from outcomes
Describe service offerings and interactions
Identify key roles in service relationships
Understand the ITIL® Four Dimensions
Describe the ITIL® Product and Service Lifecycle
Recognise governance, AI and continual improvement principles
CONTENT
Introduction to ITIL® 5
Overview of ITIL evolution from earlier versions to ITIL® 5
Why service management must adapt in the era of AI, cloud, and automation
Recap of ITIL® 4 core components relevant to the bridge
Key structural and conceptual updates
Changes to the value system
Enhancements to the value chain
Updated guiding principles and their practical application
Terminology changes and clarified definitions
Practice updates and refinements
Overview of updated practices in ITIL® 5
Governance and risk considerations in the updated framework
Continual improvement refinements and performance measurement
Digital and modern service management alignment
How ITIL® 5 supports cloud-first and hybrid environments
Integration with DevOps, automation, and agile ways of working
Integration with PRINCE2®
Leveraging data-driven decision making within service management
Aligning ITIL® 5 with organisational transformation goals
Applying ITIL® 5 in your organisation
Impact assessment: transitioning from ITIL® 4 to ITIL® 5
Managing stakeholder communication and change
Embedding updated practices into operational workflows
Preparing teams for certification and adoption
Bridge exam structure and format
Question styles and exam techniques
Knowledge consolidation and instructor-led review
€280
E-Learning
PRINCE2® Portfolio Management Foundation E-Learning Bundle (On-line proctored Exam, Official certification e-Book, eLearning 12-month access) [PC-MOP-F]
OVERVIEW
PRINCE2® Portfolio Management Foundation provides advice and examples of how to apply principles, practices, and techniques that together enable the most effective balance of organisational change and business as usual.
This course engages with the students to ensure that theory is embedded and delegates feel confident in the practical application of PRINCE2® Portfolio Management.
e-Learning
Interactive self-paced content that provides flexibility in terms of pace, place and time to suit individuals and organisations. These resources also consist of online books, educational podcasts and vodcasts, and video-based learning.
OBJECTIVES
The objective of the course is to enable a student to understand the PRINCE2® Portfolio Management principles, cycles, practices, techniques, roles and documentation. This will enable them to work as an informed member of a Portfolio Office or in a range of Portfolio Management roles.
Specifically they will know and understand the:
Scope and objectives of portfolio management and how it differs from programme and project management
Benefits from applying portfolio management
Context within which it operates
Principles upon which successful portfolio management is based
Approaches to implementation, the factors to consider in maintaining progress, and how to assess the success of portfolio management
Purposes of the portfolio management definition and delivery cycles and their component practices and relevant techniques applicable to each practice
Purpose and key content of the major portfolio documents
Scope of key portfolio management roles
CONTENT
Module 1 Overview
The definitions of portfolio and portfolio management
The portfolio management model and the relationship between the principles, cycles, practices and relevant techniques
The differences between portfolios and portfolio management on the one hand, and projects/project management and programmes/programme management on the other
The local circumstances that will affect how the MoP principles and practices will be adapted and how cost effective approaches can be adopted
The objectives and benefits of portfolio management
Module 2 Implement, sustain and measure
The three broad approaches to implementing portfolio management; when each approach to implementation is most relevant, the advantages of planned approaches to implementation
The benefits of assessing the impact of portfolio management
Seven steps (and their benefits) in a staged implementation of portfolio management
The factors to consider in sustaining progress
Approaches to assessing portfolio management maturity
Module 3 Strategic and organizational context
The 6 key functions/activities that portfolio management needs to co-ordinate with to achieve strategic objectives. Identify how portfolio management can:
Co-ordinate with 'business as usual', strategic planning, resource allocation and budgeting, project and programme management, performance management to deliver strategic objectives
Support effective corporate governance
Module 4 Portfolio management principles
The 5 principles upon which effective portfolio management is based
Senior management commitment
Governance alignment
Strategy alignment
Portfolio office
Energised change culture
Module 5 Portfolio definition cycle
The portfolio definition practices:
Understand
Categorize
Prioritize
Balance
Plan
Understand the terms and concepts relating to the portfolio definition cycle. The techniques of:
Three point estimating and reference class forecasting
Driver-based strategic contribution analysis
Multi-criteria analysis
Decision conferencing
Clear line of sight
What is involved and the keys to success
Module 6 Portfolio delivery cycle
The portfolio delivery practices:
Management control
Benefits management
Financial management
Risk management
Stakeholder engagement
Organisational governance
Resource management
The techniques of:
Management by exception
One version of the truth
Staged release of funding
Clear line of sight reporting
Champion-challenger model
What is involved, the main elements, and keys to success
Module 7 Roles and documentation
The purposes and responsibilities of the main portfolio management roles identified in PRINCE2® Portfolio Management.
The purposes of the main portfolio management documentation
€770
E-Learning
PRINCE2® Portfolio Management Practitioner E-Learning Bundle (On-line proctored Exam, Official certification e-Book, eLearning 12-month access) [PC-MOP-P]
OVERVIEW
PRINCE2® Portfolio Management Practitioner provides advice and examples of how to apply principles, practices, and techniques that together enable the most effective balance of organisational change and business as usual. This course engages with the students to ensure that the theory is embedded and delegates feel confident in the practical application of PRINCE2® Portfolio Management.
e-Learning
Interactive self-paced content that provides flexibility in terms of pace, place and time to suit individuals and organisations. These resources also consist of online books, educational podcasts and vodcasts, and video-based learning.
OBJECTIVES
The objective of the course is to prepare students for the PRINCE2® Portfolio Management Practitioner level examination. To confirm understanding of the PRINCE2® Portfolio Management principles, cycles, practices, techniques, roles and documentation. A successful Practitioner candidate should be able to apply and understand how to tailor PRINCE2® Portfolio Management effectively. Plus, with suitable support, be able to advise on the implementation of appropriate practices, techniques, and apply the method to a live portfolio.
Specifically candidates should be able to demonstrate their ability to:
Define the business case to get senior management approval for portfolio management
Plan the implementation of portfolio management
Select and adapt PRINCE2® Portfolio Management principles, practices and techniques to suit different organisational environments
Evaluate examples of PRINCE2® Portfolio Management information (including documents and role descriptions)
Analyse the solutions adopted in relation to a given scenario
CONTENT
Module 1 Examination Overview
An overview of the PRINCE2® Portfolio Management Practitioner exam - length, number and type of questions, etc
Module 2 Implement, sustain and measure
Identify appropriate approaches when implementing, sustaining and measuring portfolio management for a given scenario
Analyse whether recommended approaches to implementing, sustaining, and measuring portfolio management have been undertaken appropriately in the context of a given scenario, with reasons
Module 3 Portfolio definition cycle
Apply and tailor the practices and techniques of the portfolio definition cycle to a scenario
Identify appropriate practices and techniques within the portfolio definition cycle
Identify, analyse and distinguish between appropriate and inappropriate application of portfolio definition practices and techniques within a scenario
Module 4 Portfolio delivery cycle
Apply and tailor the practices, techniques and responsibilities of the portfolio delivery cycle to a scenario
Identify appropriate practices and techniques within the portfolio delivery cycle
Identify, analyse and distinguish between appropriate and inappropriate application of portfolio delivery practices within a scenario
Analyse whether the approaches adopted are appropriate, with reasons, in a given scenario
Module 5 Roles and documentation
Apply and tailor PRINCE2® Portfolio Management to a scenario
Identify appropriate application of the main portfolio management roles identified in PRINCE2® Portfolio Management.
Identify, analyse and distinguish between appropriate and inappropriate application of the syllabus area within a scenario.
Analyse whether the specified roles have been involved appropriately, with reasons
Identify appropriate information, using typical contents for inclusion in the relevant portfolio documentation
Analyse whether the portfolio documentation is fit for purpose, with reasons
€770
E-Learning
Develop AI cloud solutions on Azure (AI-200)
Veenendaal
ma 17 aug. 2026
en 3 andere data
Ontwerp, bouw en beheer AI-gedreven cloud-oplossingen op Microsoft Azure
Als ontwikkelaar leer je hoe je AI-oplossingen kan creëren, monitoren en troubleshooten in Microsoft Azure, met de nadruk op back-endservices en -componenten. Je leert hoe je gecontaineriseerde compute- en orchestratiepatronen kan implementeren om applicaties te hosten met behulp van Azure Container Registry, Azure App Service, Azure Container Apps en Azure Kubernetes Service. Je leert ook hoe je AI-oplossingen kan ontwikkelen met Azure data management-services, waaronder Azure Cosmos DB for NoSQL, Azure Database for PostgreSQL met pgvector en Azure Managed Redis, en hoe je embeddings kan opslaan en vector similarity search kan uitvoeren voor retrieval-augmented generation (RAG)-scenario's.
Je leert hoe je services kan verbinden en integreren met behulp van event-driven en message-based architecturen met Azure Service Bus en Azure Event Grid, en hoe je serverless AI-backends kan bouwen met Azure Functions. De training behandelt ook het beveiligen van je oplossingen met Azure Key Vault en Azure App Configuration, en het monitoren en troubleshooten van je oplossingen met behulp van OpenTelemetry en Kusto Query Language (KQL).
Doelgroep
Als deelnemer aan deze training …
€2.900
Klassikaal
max 12
4 dagen
Opleiding Wzd-functionaris
Utrecht
do 14 jan. 2027
Wzd-functionaris
De Wet zorg en dwang (Wzd) stelt hoge eisen aan zorgorganisaties en professionals. De Wzd-functionaris speelt een belangrijke rol bij het beoordelen van onvrijwillige zorg, het waarborgen van rechtsbescherming en het afwegen van vrijheid, veiligheid en kwaliteit van leven.
Deze rol vraagt om kennis van wet- en regelgeving, inzicht in ethische vraagstukken en het vermogen om onafhankelijk te oordelen en adviseren. Je leert besluiten toetsen aan wettelijke kaders, toetsingskaders en kwaliteitscriteria. Ook ontwikkel je vaardigheden om je positie als Wzdfunctionaris professioneel in te nemen en draagvlak te creëren voor adviezen.
Tijdens deze compacte 5-daagse opleiding verdiep je je in de Wet zorg en dwang, het stappenplan, rollen en verantwoordelijkheden en juridische en ethische afwegingen. Professionals uit de ouderenzorg en gehandicaptenzorg leren samen en wisselen praktijkervaringen uit.
Herken je dit?
Je gaat starten als Wzd-functionaris of vervult deze rol sinds kort.
Je zoekt duidelijkheid over de wettelijke kaders, verantwoordelijkheden en bevoegdheden.
Je wil leren hoe je onvrijwillige zorg zorgvuldig beoordeelt en toetst.
Je wil je ontwikkelen in het onafhankelijk adviseren van zorgprofessionals en organisaties.
Je wil voorbereid zijn op de juridische en ethische vraagstukken die binnen de Wzd spelen.
Je zoekt een praktijkgerichte opleiding die direct aansluit op de dagelijkse beroepspraktijk
Download de brochure [geen link]
Na deze opleiding:
Begrijp je de wettelijke kaders, toetsingskaders en kwaliteitscriteria voor Wzd
Pas je het Wzd-stappenplan zorgvuldig toe bij onvrijwillige zorg
Maak je juridische, ethische en professionele afwegingen in complexe situaties
Vul je jouw rol als Wzd-functionaris professioneel en verantwoord in
Adviseer je professionals en organisaties over toepassing van de Wet zorg en dwang
Bekijk het programma [geen link]
Deze opleiding is speciaal ontwikkeld voor:
(Aankomend) Wzd-functionarissen.
Specialisten ouderengeneeskunde.
Artsen verstandelijk gehandicapten.
Verpleegkundig specialisten, gedragsdeskundigen en andere professionals die zich voorbereiden op de rol van Wzd-functionaris
€3.599
Klassikaal
max 20
HBO
HPE Edge-to-Cloud Fundamentals (0001215494)
Schiedam
ma 14 sep. 2026
en 1 andere data
Vijfdaagse HPE-foundationtraining voor presales- en solutionprofessionals: leer de complete HPE-portfolio en GreenLake toepassen en ontwerp met vertrouwen edge-to-cloud-oplossingen voor het MKB.
HPE Edge-to-Cloud Fundamentals is een vijfdaagse foundationtraining voor presales- en solutionprofessionals die klanten in het MKB adviseren over edge-to-cloud-oplossingen. Je leert de complete HPE-portfolio doorgronden en toepassen: HPE Compute (ProLiant en Synergy), Storage (MSA en Alletra Storage MP B10000), Networking (Aruba, Comware en Juniper) en de managementtools iLO, OneView en Compute Ops Management. Ook HPE GreenLake, virtualisatie en de HPE Private Cloud-oplossingen komen uitgebreid aan bod. De training start bij de HPE-strategie en architecting-methodiek, die je oefent in praktijkgerichte architecting-labs met tools als HPE One Config Advanced, waarin je voorstellen, BOM's en ontwerpen maakt en presenteert. Voorkennis: minimaal 6 maanden IT-ervaring en basiskennis van compute, storage, networking en software binnen de HPE-portfolio. De training bereidt je voor op het examen HPE0-V18 en de certificering HPE ATP - Edge-to-Cloud Architect.
€3.375
Klassikaal
5 dagen
HPE AI Solutions (0001215557)
Schiedam
ma 18 jan. 2027
HPE AI Solutions is de 5-daagse HPE ASE-training waarin je leert HPE AI-oplossingen te beoordelen, positioneren, dimensioneren en onderbouwen voor enterprise AI-omgevingen.
HPE AI Solutions is een officiële 5-daagse HPE-training die voorbereidt op de certificering HPE ASE - AI solutions en het examen HPE0-V31. De training is bedoeld voor presales engineers, solutions integrators, systems engineers en technical consultants die klantvereisten vertalen naar passende HPE AI-oplossingen. Je leert de AI-maturiteit, workloads en use cases van klanten beoordelen en HPE AI-oplossingen positioneren op basis van klantdoelen en workloadvereisten. Je verdiept je in de infrastructuur- en softwarecomponenten van HPE Private Cloud AI met NVIDIA, waaronder HPE AI-servers, NVIDIA GPU's, HPE GreenLake for File Storage, HPE AI Essentials en NVIDIA AI Enterprise, en ziet hoe deze inferencing, retrieval augmented generation (RAG) en fine-tuning ondersteunen. Ten slotte leer je HPE AI-oplossingen dimensioneren, configureren, quoten en koppelen aan relevante services. Vooraf is basiskennis van AI nodig, bijvoorbeeld uit HPE AI Fundamentals. Na afloop adviseer en configureer je HPE AI-oplossingen onderbouwd voor enterprise AI-omgevingen.
€3.375
Klassikaal
5 dagen