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SSL Certificates - HTTPS, TLS and encryption explained
Nieuwegein
vr 11 sep. 2026
en 1 andere data
Digital certificates are the foundation of trust in modern IT systems — but how does that trust actually work, and where does it break down in practice?
In this training, you will gain a practical and in-depth understanding of TLS, PKI and digital certificates, and how they are used in real-world IT environments. You will learn how secure communication is established using HTTPS and TLS, and how X.509 certificates, certificate authorities and trust chains enable authentication and encryption.
You will walk step-by-step through the TLS handshake, understand how certificate chains are validated and how mutual TLS (mTLS) is used for strong service-to-service authentication. The focus is not only on how it works, but also on how it fails: misconfigurations, expired certificates and vulnerable implementations.
You will also learn how certificate management works in modern environments, including automation in DevOps pipelines, Infrastructure as Code (IaC) and Kubernetes platforms. This ensures you not only understand certificates, but can also manage them effectively at scale in production systems.
The training connects technical depth with practical application: you will learn how to apply certificates within secure architectures, including Zero Trust models.
The course material (slides) is in English and reflects real-world practices in modern IT organizations.
This training is available as classroom training and as e-learning. Classroom sessions can be attended on-site or virtually (via Microsoft Teams or Zoom). The e-learning is fully in English and includes English subtitles.
Our training is also delivered through selected international training partners, allowing participation outside the Netherlands. Contact us for current availability and locations.
Who should attend:
This training is designed for professionals working with security, infrastructure and modern IT architectures.
Typical participants include:
DevOps and platform engineers
Security engineers
Solution and cloud architects
IT professionals working with certificates, TLS and security
What you will learn:
How TLS, PKI and digital certificates work in modern IT systems
How TLS handshakes and certificate chains are structured and validated
The role of X.509 certificates, certificate authorities and trust models
How mutual TLS (mTLS) is used for strong authentication
How trust is established — and where it can fail in practice
Risks such as expired certificates, misconfigurations and weak key management
Certificate management and automation in DevOps and Kubernetes environments
How certificates are applied in Zero Trust and secure architectures
Results:
After this training, you will be able to:
Understand how digital trust chains work in practice
Assess and improve TLS configurations and certificate setups
Identify and mitigate security risks related to certificates
Implement and automate certificate management in modern environments
Collaborate more effectively with security and platform teams
Apply certificates as a core building block of secure architectures
Course Agenda
Encryption fundamentals: Understand the core concepts of encryption, including symmetric and asymmetric cryptography, keys, algorithms and how data is transformed from plaintext to ciphertext.
HTTPS, SSL and TLS explained: Learn how HTTPS works and how SSL/TLS secures communication on the internet, including confidentiality, integrity and authentication.
The TLS handshake: Step-by-step explanation of how a secure connection is established between client and server, including key exchange, certificates and session encryption.
Digital certificates and PKI: Understand how X.509 certificates work and how Public Key Infrastructure (PKI) establishes and maintains trust between systems.
Certificate authorities and trust chains: Learn how certificate authorities (CAs), root certificates and intermediate certificates form a chain of trust and how trust is validated.
Certificate validation and revocation: Understand how certificates are validated using CRL and OCSP, and what happens when certificates are expired, compromised or revoked.
Mutual TLS and authentication: Explore one-way TLS and mutual TLS (mTLS) and how certificates enable strong authentication between services, users and devices.
Certificate lifecycle and management: Learn how certificates are issued, deployed, rotated and managed in practice, including keystores, truststores and common certificate formats.
Security risks and real-world incidents: Identify common risks such as self-signed certificates, weak key management and misconfigurations, including lessons learned from incidents such as DigiNotar.
Automation and modern certificate management: Understand how automation, DevOps and Infrastructure as Code (IaC) are used to manage certificates at scale in modern environments, including Kubernetes platforms
Zero Trust and the role of certificates: Learn how certificates and encryption support Zero Trust architectures and secure service-to-service communication.
Best practices and future developments: Explore best practices for certificate management, compliance considerations and emerging topics such as post-quantum
€795
Klassikaal
max 12
Cloud Native Design - APIs, microservices & Kubernetes
Cloud-native systems offer flexibility and scalability, but they also introduce new complexity and architectural trade-offs.
In this training, you will learn how to build and operate modern systems that fully leverage cloud platforms such as Kubernetes and container-based environments. You will gain insight into how decisions around scalability, resilience and maintainability affect real-world systems in production.
You will work with principles such as microservices, containers (Docker), Kubernetes and platform engineering, and learn how to decouple systems to improve flexibility, independent deployments and team autonomy. The focus goes beyond individual components — you will understand how these elements come together in a working platform.
You will also explore how cloud-native architectures handle state, data and integrations, including challenges such as data consistency, distributed systems behavior and API-based communication. You will learn how to balance trade-offs between performance, reliability and complexity.
The focus is on practical application: how to build systems that not only work in theory, but remain scalable, resilient and manageable in production environments.
The course material (slides) is in English and reflects real-world practices in modern IT organizations.
This training is available as classroom training and as e-learning. Classroom sessions can be attended on-site or virtually (via Microsoft Teams or Zoom). The e-learning is fully in English and includes English subtitles.
Our training is also delivered through selected international training partners, allowing participation outside the Netherlands. Contact us for current availability and locations.
Who should attend:
This training is designed for professionals involved in designing, building and operating modern cloud-native systems.
Typical participants include:
Software engineers
DevOps and platform engineers
Solution and cloud architects
Technical management
What you will learn:
How cloud-native architectures are structured and how they differ from traditional systems
How to work with containers (Docker), Kubernetes and modern platform tooling
Principles such as microservices, API design and platform engineering
How to decouple systems for scalability, flexibility and independent deployments
How to handle state, data consistency and integrations in distributed systems
Trade-offs between simplicity, flexibility, performance and maintainability
How to design and operate systems that support CI/CD and continuous delivery
Results:
After this training, you will be able to:
Design, evaluate and improve cloud-native architectures
Make better decisions in container- and Kubernetes-based environments
Build systems that remain scalable, resilient and manageable in production
Collaborate more effectively with platform teams and engineers
Better understand and reduce complexity in distributed cloud environments
Contribute with confidence to cloud strategy and architecture
Course Agenda
Cloud-native fundamentals and IT evolution: Understand the shift from monolithic systems to cloud-native architectures. Learn key principles such as stateless design, immutability, automation, scalability and the cloud-native operating model.
API design and API contracts : Learn how to design APIs as stable contracts using REST and OpenAPI. Understand resource modeling, versioning, error handling, backward compatibility and API governance.
Microservices architecture and domain modeling : Design microservices using domain-driven design (DDD), bounded contexts and loose coupling. Understand how team structure, ownership and architecture are connected.
Event-driven architecture and asynchronous systems: Explore event-driven architecture (EDA), messaging and streaming platforms. Understand when to use synchronous vs asynchronous communication and the impact on reliability and scalability.
Containers and Kubernetes fundamentals: Understand how containers (Docker) and Kubernetes work together to run modern applications. Learn core concepts such as pods, nodes, clusters, scheduling and orchestration.
Platform design: service discovery, API gateways and service mesh: Learn how modern platforms handle service-to-service communication using service discovery, API gateways and service mesh patterns (e.g. traffic management, observability, security).
Reliability and observability in cloud-native systems: Build systems that can handle failure. Learn about timeouts, retries, circuit breakers, monitoring, logging, tracing and observability in distributed systems.
Cloud-native security: Understand how security is implemented in modern architectures, including authentication and authorization (OAuth2, OpenID Connect), mTLS, API security and DevSecOps practices.
Adoption, governance and operating models: Learn how to adopt cloud-native architectures at scale, including platform teams, golden paths, API governance, and balancing autonomy with control.
Throughout the training, the focus is on real-world architectures, design trade-offs and operational considerations — not on writing code, but on understanding how modern systems are built, run and evolve in production.
€199
E-Learning
Reliability Engineering: High Availability, Resilience & Observability
Modern IT systems are complex, distributed and constantly evolving. Reliability does not happen by accident — it must be actively built, monitored and improved.
In this training, you will learn how to build and operate systems that remain stable under pressure, handle failures in a controlled way and provide continuous insight into their behavior. The focus is not only on infrastructure, but especially on applications and microservices: how software behaves in production and what is required to keep it reliable.
You will work with principles from Site Reliability Engineering (SRE) and learn how development and operations come together in a DevOps way of working. You will see how decisions in application behavior, dependencies and integrations directly impact availability, performance and recovery.
You will learn how to handle failures in practice: from retries and backpressure to circuit breakers and graceful degradation — not as isolated patterns, but as part of systems that continue to function under real-world conditions.
Observability plays a central role: you will work with metrics, logs and traces, and learn how to use SLI’s, SLO’s and error budgets to make reliability measurable and to align it with user experience and business impact.
You will also gain insight into data reliability and distributed systems behavior, including consistency trade-offs (CAP and PACELC), so systems are not only available, but also correct.
The training covers the full lifecycle: build, deploy, monitor, validate and improve. You will learn how to test reliability with resilience testing and chaos engineering, and how to continuously improve based on production data.
The course material (slides) is in English and reflects real-world practices in modern IT organizations.
This training is available as classroom training and as e-learning. Classroom sessions can be attended on-site or virtually (via Microsoft Teams or Zoom). The e-learning is fully in English and includes English subtitles.
Our training is also delivered through selected international training partners, allowing participation outside the Netherlands. Contact us for current availability and locations.
Who should attend:
This training is designed for technical professionals involved in building, operating and improving modern IT systems.
Typical participants include:
* DevOps and platform engineers
* Software engineers
* Solution and cloud architects
* IT managers and technical leads
What you will learn:
* How systems and microservices behave under failures and peak load
* High availability and failover in practice (zones, regions and dependencies)
* Resilience strategies such as retries, backpressure, circuit breakers and graceful degradation
* How to use SLI’s, SLO’s and error budgets to manage reliability
* Observability with metrics, logs and traces, and the move toward system intelligence
* Trade-offs in distributed systems such as CAP, PACELC and consistency vs availability
* How to ensure data reliability (replication, recovery, integrity and consistency)
* How to validate reliability with testing and chaos engineering
Results:
After this training, you will be able to:
* Build and operate more reliable systems and microservices in production
* Detect, understand and resolve issues faster using observability
* Make better decisions on how systems handle failures and dependencies
* Align reliability with user experience and business impact
* Collaborate more effectively within DevOps teams
* Continuously improve system reliability instead of only reacting to incidents
Course Agenda
Architecture in Practice
Scope, Mindset & Shared Language
Software Resilience & Designing for Failure
High Availability Architecture
Safe Change & Delivery Reliability
Data Reliability & State Management
Resilience Validation & Chaos Engineering
System Intelligence & Observability
Adoption, Governance & Reliability Maturity
Architecture in Practice: Understand how modern systems evolve in real-world environments, driven by trade-offs, simplicity (KISS) and continuous change. Learn why reliability is influenced by decisions across the entire lifecycle — not just infrastructure.
Scope, Mindset & Shared Language: Build a solid foundation in reliability engineering, including SLI, SLO and error budgets. Learn how SRE principles and reliability economics guide both development and operational decisions.
Software Resilience & Designing for Failure: Build applications and microservices that handle failure gracefully using retries, backoff, circuit breakers and bulkheads. Prevent cascading failures with loose coupling, backpressure and isolation patterns.
High Availability Architecture: Understand how systems stay available in practice using redundancy, failover and multi-zone or multi-region setups. Learn how to control blast radius and design for predictable recovery.
Safe Change & Delivery Reliability: Deliver changes safely using CI/CD, GitOps, Infrastructure as Code and progressive delivery strategies such as canary and blue/green deployments. Use guardrails, feature flags and automated policies to reduce risk.
Data Reliability & State Management: Manage data consistency, replication and recovery in distributed systems. Understand CAP and PACELC trade-offs, eventual consistency and how to prevent data loss or corruption.
Resilience Validation & Chaos Engineering: Validate system behavior under stress using resilience testing and chaos engineering. Define steady state, test realistic failure scenarios and safely experiment in production environments.
System Intelligence & Observability: Go beyond monitoring with observability, tracing and system intelligence. Apply concepts such as the four golden signals and use data-driven insights to detect, understand and prevent issues.
Adoption, Governance & Reliability Maturity: Scale reliability across teams using platform engineering, policy-as-code and governance models. Implement guardrails, maturity models and continuous improvement loops.
This reliability engineering training helps you build, operate and continuously improve systems that remain stable under real-world conditions.
€299
E-Learning
SSL Certificates - HTTPS, TLS and encryption explained
Digital certificates are the foundation of trust in modern IT systems — but how does that trust actually work, and where does it break down in practice?
In this training, you will gain a practical and in-depth understanding of TLS, PKI and digital certificates, and how they are used in real-world IT environments. You will learn how secure communication is established using HTTPS and TLS, and how X.509 certificates, certificate authorities and trust chains enable authentication and encryption.
You will walk step-by-step through the TLS handshake, understand how certificate chains are validated and how mutual TLS (mTLS) is used for strong service-to-service authentication. The focus is not only on how it works, but also on how it fails: misconfigurations, expired certificates and vulnerable implementations.
You will also learn how certificate management works in modern environments, including automation in DevOps pipelines, Infrastructure as Code (IaC) and Kubernetes platforms. This ensures you not only understand certificates, but can also manage them effectively at scale in production systems.
The training connects technical depth with practical application: you will learn how to apply certificates within secure architectures, including Zero Trust models.
The course material (slides) is in English and reflects real-world practices in modern IT organizations.
This training is available as classroom training and as e-learning. Classroom sessions can be attended on-site or virtually (via Microsoft Teams or Zoom). The e-learning is fully in English and includes English subtitles.
Our training is also delivered through selected international training partners, allowing participation outside the Netherlands. Contact us for current availability and locations.
Who should attend:
This training is designed for professionals working with security, infrastructure and modern IT architectures.
Typical participants include:
DevOps and platform engineers
Security engineers
Solution and cloud architects
IT professionals working with certificates, TLS and security
What you will learn:
How TLS, PKI and digital certificates work in modern IT systems
How TLS handshakes and certificate chains are structured and validated
The role of X.509 certificates, certificate authorities and trust models
How mutual TLS (mTLS) is used for strong authentication
How trust is established — and where it can fail in practice
Risks such as expired certificates, misconfigurations and weak key management
Certificate management and automation in DevOps and Kubernetes environments
How certificates are applied in Zero Trust and secure architectures
Results:
After this training, you will be able to:
Understand how digital trust chains work in practice
Assess and improve TLS configurations and certificate setups
Identify and mitigate security risks related to certificates
Implement and automate certificate management in modern environments
Collaborate more effectively with security and platform teams
Apply certificates as a core building block of secure architectures
Course Agenda
Encryption fundamentals: Understand the core concepts of encryption, including symmetric and asymmetric cryptography, keys, algorithms and how data is transformed from plaintext to ciphertext.
HTTPS, SSL and TLS explained: Learn how HTTPS works and how SSL/TLS secures communication on the internet, including confidentiality, integrity and authentication.
The TLS handshake: Step-by-step explanation of how a secure connection is established between client and server, including key exchange, certificates and session encryption.
Digital certificates and PKI: Understand how X.509 certificates work and how Public Key Infrastructure (PKI) establishes and maintains trust between systems.
Certificate authorities and trust chains: Learn how certificate authorities (CAs), root certificates and intermediate certificates form a chain of trust and how trust is validated.
Certificate validation and revocation: Understand how certificates are validated using CRL and OCSP, and what happens when certificates are expired, compromised or revoked.
Mutual TLS and authentication: Explore one-way TLS and mutual TLS (mTLS) and how certificates enable strong authentication between services, users and devices.
Certificate lifecycle and management: Learn how certificates are issued, deployed, rotated and managed in practice, including keystores, truststores and common certificate formats.
Security risks and real-world incidents: Identify common risks such as self-signed certificates, weak key management and misconfigurations, including lessons learned from incidents such as DigiNotar.
Automation and modern certificate management: Understand how automation, DevOps and Infrastructure as Code (IaC) are used to manage certificates at scale in modern environments, including Kubernetes platforms
Zero Trust and the role of certificates: Learn how certificates and encryption support Zero Trust architectures and secure service-to-service communication.
Best practices and future developments: Explore best practices for certificate management, compliance considerations and emerging topics such as post-quantum
€149
E-Learning
Cursus Slimmer werken met AI-tools
EINDHOVEN
di 8 sep. 2026
en 8 andere data
Leer welke AI-tool je wanneer gebruikt en zet generatieve AI direct in op je werk.
Leer de juiste AI-tool kiezen én gebruiken voor elke taak. In deze praktische AI-cursus werk je direct met ChatGPT, Copilot en Gemini aan jouw taken.
€660
Klassikaal
max 15
1 dag
AI+ Construction Practitioner™
Master AI-Driven Construction Excellence with Practical Application
AI-Powered Construction Strategy: Learn how to apply AI across construction workflows—from planning and design to execution, enhancing efficiency, reducing costs, and improving decision-making.
Managing AI-Enabled Projects: Develop the ability to oversee AI-driven construction projects, including scheduling, cost estimation, and risk forecasting for better project outcomes.
AI Integration in Construction Workflows: Understand how to embed AI into existing systems like BIM, IoT, and digital tools to streamline operations and enable data-driven site management.
Leading AI-Enhanced Site Operations: Gain skills to manage teams and site activities using AI agents, automation, and real-time insights to improve productivity and safety compliance.
Future-Ready Construction with AI: Stay ahead by leveraging predictive analytics, generative design, and smart asset management to build resilient, efficient, and technology-driven construction operations.
Module 1: Artificial Intelligence – Foundations for Construction Professionals
1.1 Artificial Intelligence (AI)
1.2 Core AI Concepts
1.3 AI in Daily Life & Across Industries
1.4 Ethical & Responsible AI in Construction
1.5 Case Study
1.6 Hands – on Simulation Activity
Module 2: Foundations of AI in Construction
2.1 The Rise of AI in Construction
2.2 The AI Ecosystem in Construction
2.3 Challenges in AI Adoption
2.4 Case Study
2.5 Hands – on Simulation Activity
Module 3: Generative Design & AI-Driven Planning
3.1 Generative Design Concepts
3.2 AI for Sustainable Construction
3.3 Scheduling & Cost Estimation with AI
3.4 Case Study: EcoConstruct Ltd.
3.5 Hands – on Simulation Activity
Module 4: Predictive Maintenance & Smart Asset Management
4.1 Cost and Performance Optimization: The Economic Context Pipeline
4.2 Data Analytics for Asset Management
4.3 Computer Vision for Site Safety
4.4 Case Study: Build Sure Projects
4.5 Hands – on Simulation Activity
Module 5: AI Agents for Construction Management
5.1 Introduction to AI Agents
5.2 Site Management Agents
5.3 Safety & Compliance Agents
5.4 Case Study: Metro Link Builders
5.5 Hands – on Simulation Activity
Module 6: AI in Project Analytics & Risk Forecasting
6.1 AI for Cost and Delay Prediction
6.2 Risk Management using AI
6.3 Data Visualization and Reporting
6.4 Case Study: Skyline Infra
6.5 Hands – on Simulation Activity
Module 7: Responsible & Ethical AI in Construction
7.1 Principles of Responsible AI
7.2 Compliance and Data Protection
7.3 Human Oversight and Bias Prevention
7.4 Case Study: Safe Build Pvt. Ltd.
7.5 Interactive Activity
7.6 Hands – on Simulation Activity
Module 8: Capstone Project — AI-Enabled Smart Construction
8.1 Project Definition
8.2 Solution Development
8.3 Presentation and Evaluation
8.4 Hands-on Simulation Activity
Tools you will explore
ChatGPT
Google Gemini
Microsoft Copilot
Trello AI
Jira Free Tier
ClickUp
Notion AI
GitHub Copilot
Google Sheets with AI Add-ons
Power BI
Tableau Public
Python
Pandas
Scikit-learn
AutoML Tools
Zapier
Slack AI Integrations
Burndown & Sprint Analytics Dashboards
Online proctored exam included, with one free retake.
Exam format:
50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€995
Klassikaal
max 12
1 dag
AI-beleid opstellen voor jouw organisatie
Utrecht
wo 7 okt. 2026
AI verandert hoe we werken: hoe doen we dat veilig, ethisch en effectief?
De AI-Act geldt voor álle organisaties en stelt eisen aan het ontwikkelen, aanbieden én gebruiken van AI-systemen. Vanaf februari 2025 ben je verplicht je medewerkers AI-geletterd te maken en houden. Dat gaat verder dan basiskennis: het draait ook om veilig, bewust en verantwoord gebruik van AI-tools en -toepassingen. Organisaties die niet willen achterlopen hebben beleids- en actieplannen nodig in het kader van AI.
Met de 4-daagse opleiding AI-beleid opstellen voor jouw organisatie leer je hoe je AI-beleid ontwikkelt, implementeert én verankert. Je vertaalt de AI-Act naar concrete actie, neemt collega’s mee en vergroot de AI-geletterdheid in je organisatie.
Na 4 dagen heb jij:
Een goede basis voor AI-beleid dat aansluit bij de wetgeving én de kansen en risico’s voor jouw organisatie.
Een concreet plan van aanpak om AI-beleid te implementeren, actueel te houden en draagvlak te creëren
Inzicht in wat er nodig is om AI-geletterdheid binnen jouw organisatie te versterken
Download de brochure voor een handig programmaoverzicht [geen link]
De urgentie om proactief en strategisch met AI om te gaan is duidelijk:
Big Tech investeert miljarden in AI: Microsoft, Google en Amazon steken recordbedragen in AI-infrastructuur (Business Insider, mei 2025)
Nederlandse bedrijven zetten vol in op AI: In 2024 groeide AI-gebruik met 9% in het bedrijfsleven (CBS AI-monitor 2024)
Twee op de drie gemeenten missen AI-beleid: Slechts 1 op de 3 gemeenten heeft beleid voor AI-gebruik (Binnenlands Bestuur, maart 2025)
AI-training is nog geen standaard: Slechts 34% van de bedrijven bood AI-trainingen aan in 2024 (Frankwatching, april 2024)
AI maakt werknemers onzeker – én effectiever: 3 op de 5 vrezen hun baan te verliezen, maar 2 op de 3 AI-gebruikers ervaren meer efficiëntie (OESO, juli 2023)
I.s.m.
Ook interessant voor jou?
AI voor de overheid: www.sbo.nl/overheid/cursus-AI-overheid/ [geen link]
Deze opleiding is ontwikkeld voor:
(Toekomstige) beleidsadviseurs, compliance officers, risk managers en andere professionals binnen publieke en private organisaties die verantwoordelijk zijn (of worden) voor het ontwikkelen, implementeren en toezicht houden op AI-beleid.
Ook is de opleiding geschikt voor HR- en L&D-professionals die betrokken zijn bij het vergroten van AI-geletterdheid binnen hun organisatie en daarvoor op de hoogte willen zijn van actuele wettelijke kaders.
€2.499
Klassikaal
max 20
HBO
AI in de Zorg
Utrecht
do 28 jan. 2027
Innovatieve zorg met AI: de tijd om te handelen is nu
De druk op de zorg is enorm. De toenemende vergrijzing & zorgvraag en het tekort aan zorgprofessionals vraagt om een andere aanpak. AI-oplossingen kunnen de kloof tussen de zorgcapaciteit en de zorgvraag kleiner maken. Wacht niet af maar ga pro-actief hier mee aan de slag!
AI in de Zorg:
AI verandert de zorg ingrijpend: van snellere diagnoses en efficiëntere processen tot betere patiëntenzorg. Maar hoe benut je de kansen van kunstmatige intelligentie (AI) zonder risico’s te lopen?
Tijdens de tweedaagse cursus AI in de Zorg ontdek je de nieuwste AI-trends, concrete toepassingen en de juridische kaders die daarbij komen kijken. Je leert hoe je veilig, verantwoord en juridisch correct omgaat met data en technologie, én hoe je AI praktisch en ethisch inzet binnen jouw organisatie.
Deze cursus is gericht op de toekomstgerichte zorgprofessional die klaar wil zijn voor de impact van AI in de zorg.
Download de brochure >> [geen link]
In twee dagen:
Maak je kennis met de actuele AI-trends en tools
Leer je wat de basisprincipes zijn voor een sterke AI-strategie
Ken je de kansen en risico’s die AI biedt voor zorginstellingen
Weet je hoe je veilig, verantwoord én effectief omgaat met AI
Na afloop van deze cursus:
Ken je de laatste AI-trends en toepassingen in de zorg.
Begrijp je de basisprincipes van machine learning en deep learning.
Weet je welke kansen en risico’s AI biedt voor jouw organisatie.
Ben je bekend met de juridische en ethische kaders, zoals AVG, MDR en de AI-verordening.
Kun je AI verantwoord en praktisch implementeren binnen jouw afdeling of project.
Bekijk het programma >> [geen link]
Van de makers van:
Voor wie is deze cursus AI in de Zorg?
Deze cursus is speciaal ontwikkeld voor zorgprofessionals en beleidsmakers die zich willen verdiepen in de kansen én risico’s van AI:
Directeuren, (programma)managers en afdelingshoofden
Leden van raad van bestuur of toezicht
Datamanagers en dataspecialisten
Medisch specialisten en artsen
Programmamanagers, adviseurs, projectleiders en stafmedewerkers
Werkzaam in en voor Care, Cure, GGD, Jeugdzorg, GGZ en het Sociaal Domein.
€2.099
Klassikaal
max 20
HBO
Pensioen in zicht in de sneeuw 5-daagse training zonder partner
Hochfügen
zo 10 jan. 2027
Sta je aan de vooravond van je pensioen? Tijdens 'pensioen in zicht in de sneeuw' combineer je reflectie en verdieping met beweging, rust en de inspirerende kracht van de bergen in de sneeuw!
Wat kun je verwachten?
* Reflectie: terugblikken op je werkzame leven – wat neem je mee, wat laat je achter?
* Afscheid: hoe neem je op een positieve manier afscheid van werk en collega’s?
* Toekomst: ontdekken wat jou drijft, plannen maken voor een zinvolle invulling van je tijd.
* Vitaliteit: aandacht voor gezondheid, dagstructuur en sociale contacten.
* Praktische kennis: o.a. erven, schenken, levenstestament en Wet Langdurige Zorg.
Waarom deze wintereditie?
* Perspectief en inspiratie door rust, ruimte en bergvergezichten
* Balans tussen inhoud, actie en ontspanning: wandelen in de sneeuw, skiën of welness
* Bewust vooruitkijken met frisse energie en een heldere focus
Deelname met of zonder partner (partner apart inschrijven).
Onze 5-daagse trainingen bieden een rijk programma. De 5-daagse training bieden we in hotels op Texel. Texel is een plek waar je bij uitstek kunt stilstaan, uitwaaien, ontmoeten, (culinair) genieten en vooruit kijken.
De thema’s in de 5-daagse zijn gelijk aan die van het 3-daagse programma’s. Maar de onderdelen zitten ruimer in hun jasjes, zodat er meer tijd is voor de presentatie van achtergronden en voor verdiepende gesprekken.
Het ander belangrijk verschil met de 3-daagse is het ritme ...Programma in het kort
* Dag 1: Kennismaken, balans opmaken.
* Dag 2: Afscheid nemen, nieuwe structuur vinden, excursie in de natuur.
* Dag 3: Relaties & communicatie, wadexcursie.
* Dag 4: Vitaliteit & talenten, vuurtorenwandeling.
* Dag 5: Vooruitblikken, plannen visualiseren.
Doel: Je goed voorbereiden op de overgang naar pensioen, zodat je vitaal en betekenisvol deze nieuwe fase kunt invullen.
€1.933
Klassikaal
max 20
48 uren
Pensioen in zicht in de sneeuw 5-daagse training (met partner)
Hochfügen
zo 10 jan. 2027
Sta je aan de vooravond van je pensioen? Tijdens 'pensioen in zicht in de sneeuw' combineer je reflectie en verdieping met beweging, rust en de inspirerende kracht van de bergen in de sneeuw!
Wat kun je verwachten?
* Reflectie: terugblikken op je werkzame leven – wat neem je mee, wat laat je achter?
* Afscheid: hoe neem je op een positieve manier afscheid van werk en collega’s?
* Toekomst: ontdekken wat jou drijft, plannen maken voor een zinvolle invulling van je tijd.
* Vitaliteit: aandacht voor gezondheid, dagstructuur en sociale contacten.
* Praktische kennis: o.a. erven, schenken, levenstestament en Wet Langdurige Zorg.
Waarom deze wintereditie?
* Perspectief en inspiratie door rust, ruimte en bergvergezichten
* Balans tussen inhoud, actie en ontspanning: wandelen in de sneeuw, skiën of welness
* Bewust vooruitkijken met frisse energie en een heldere focus
Deelname met of zonder partner (partner apart inschrijven).
Onze 5-daagse trainingen bieden een rijk programma. De 5-daagse training bieden we in hotels op Texel. Texel is een plek waar je bij uitstek kunt stilstaan, uitwaaien, ontmoeten, (culinair) genieten en vooruit kijken.
De thema’s in de 5-daagse zijn gelijk aan die van het 3-daagse programma’s. Maar de onderdelen zitten ruimer in hun jasjes, zodat er meer tijd is voor de presentatie van achtergronden en voor verdiepende gesprekken.
Het ander belangrijk verschil met de 3-daagse is het ritme ...Programma in het kort
* Dag 1: Kennismaken, balans opmaken.
* Dag 2: Afscheid nemen, nieuwe structuur vinden, excursie in de natuur.
* Dag 3: Relaties & communicatie, wadexcursie.
* Dag 4: Vitaliteit & talenten, vuurtorenwandeling.
* Dag 5: Vooruitblikken, plannen visualiseren.
Doel: Je goed voorbereiden op de overgang naar pensioen, zodat je vitaal en betekenisvol deze nieuwe fase kunt invullen.
€3.866
Klassikaal
max 20
48 uren