Opleidingen
68.895
resultaten
AI+ Medical Assistant Practitioner™
Nieuwegein
do 3 sep. 2026
en 1 andere data
Formerly known as AI+ Medical Assistant™
Revolutionize Healthcare Support with AI-Powered Medical Assistance
* Patient Interaction Excellence: Learn how AI enhances patient communication, appointment scheduling, and follow-up care to improve the patient experience.
* Clinical Workflow Efficiency: Master AI tools for streamlining patient intake, medical record management, and lab result analysis to optimize clinical operations.
* Data-Driven Decision Support: Gain expertise in using AI to assist healthcare providers with accurate diagnostics, treatment suggestions, and patient monitoring.
* Enhanced Medical Administration: Prepare to support healthcare teams with AI-driven administrative tasks, reducing errors, improving accuracy, and enabling faster decision-making.
Module 1: Fundamentals of AI for Medical Assistants
* 1.1 Understanding AI and Its Healthcare Applications
* 1.2 The Role of AI in Medical Assistance
* 1.3 Case Studies
* 1.4 Hands-on Session: Functionality Survey and Stepwise Analysis of the Eka.care Patient-Side Application Module 2: Data Literacy for Medical Assistants
* 2.1 Healthcare Data Types and Management
* 2.2 Using Data Effectively in AI
* 2.3 Case Studies
* 2.4 Hands-On Session: Structured vs. Unstructured Data in Healthcare: A Practical Study Using Eka.Care Patient Health Record System Module 3: AI in Patient Care Optimization
* 3.1 Enhancing Patient Interactions with AI
* 3.2 Predictive Analytics and Workflow Management
* 3.3 Case Studies
* 3.4 Hands-On Session: Eka.care in Action: Appointment Management, Smart Reminders & Tele-Consult Dashboards Module 4: NLP and Generative AI in Medical Documentation
* 4.1 Foundations of NLP for Medical Assistants
* 4.2 Practical Applications and Risks
* 4.3 Case Studies
* 4.4 Hands-On Simulation Exercise
* 4.5 Hands-On Session: Automating Clinical Documentation Using Eka.care: Notes, Summaries, and Communication Workflows Module 5: AI in Diagnostics and Screening
* 5.1 Diagnostic Support Tools
* 5.2 Real-World Applications and Simulation
* 5.3 Use Cases
* 5.4 Hands-On: AI-Powered Detection of Common Health Conditions: Review and Analysis of AI-Suggested Diagnostic Insights using Eka Care Module 6: Ethics, Bias, and Regulation in AI for Healthcare
* 6.1 Recognizing and Addressing Bias in AI
* 6.2 Legal, Ethical, and Compliance Frameworks
* 6.3 Hands-On Exercise: Analyzing and Visualizing Bias in Artificial Intelligence Systems — Exploring Racial, Socioeconomic, and Demographic Disparities using Google’s What-If Tool Module 7: Evaluating and Implementing AI Tools
* 7.1 Selecting and Planning for AI Adoption
* 7.2 Best Practices and Stakeholder Engagement
* 7.3 Case Study: Procurement and Early Deployment of AI Tools for Chest Diagnostics in a National Health Service Setting
* 7.4 Hands-On Simulation Exercise: Recognizing Red Flags in Vendor Solutions for AI in Medical Assistant
* 7.5 Hands-On Exercises: Evaluating the Relevance and Effectiveness of AI Models using the Zoho Analytics Module 8: Cybersecurity and Emerging Trends in AI
* 8.1 Cybersecurity Risks and Protection
* 8.2 Future Trends and Preparing for Innovation
* 8.3 Case Studies: EY’s Strategic Transformation: Adapting to Emerging AI Technologies
* 8.4 Hands-On Exercises: Common Cybersecurity Threats in AI-Enabled Healthcare: A Hands-On Exploration Using Google Sheets Tools you will explore
* TensorFlow
* Keras
* Python
* Natural Language Processing (NLP) Tools
* SQL
* Matplotlib
* Power BI
* Healthcare Data Integration Tools
* Electronic Health Record (EHR) Systems
* Patient Scheduling and Coordination Platforms
* AI-Powered Diagnostic Tools
* Medical Imaging Analysis Tools
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
€895
Klassikaal
max 12
1 dag
AI+ Medical Assistant Practitioner™ eLearning
Formerly known as AI+ Medical Assistant™
Revolutionize Healthcare Support with AI-Powered Medical Assistance
* Patient Interaction Excellence: Learn how AI enhances patient communication, appointment scheduling, and follow-up care to improve the patient experience.
* Clinical Workflow Efficiency: Master AI tools for streamlining patient intake, medical record management, and lab result analysis to optimize clinical operations.
* Data-Driven Decision Support: Gain expertise in using AI to assist healthcare providers with accurate diagnostics, treatment suggestions, and patient monitoring.
* Enhanced Medical Administration: Prepare to support healthcare teams with AI-driven administrative tasks, reducing errors, improving accuracy, and enabling faster decision-making.
Module 1: Fundamentals of AI for Medical Assistants
* 1.1 Understanding AI and Its Healthcare Applications
* 1.2 The Role of AI in Medical Assistance
* 1.3 Case Studies
* 1.4 Hands-on Session: Functionality Survey and Stepwise Analysis of the Eka.care Patient-Side Application Module 2: Data Literacy for Medical Assistants
* 2.1 Healthcare Data Types and Management
* 2.2 Using Data Effectively in AI
* 2.3 Case Studies
* 2.4 Hands-On Session: Structured vs. Unstructured Data in Healthcare: A Practical Study Using Eka.Care Patient Health Record System Module 3: AI in Patient Care Optimization
* 3.1 Enhancing Patient Interactions with AI
* 3.2 Predictive Analytics and Workflow Management
* 3.3 Case Studies
* 3.4 Hands-On Session: Eka.care in Action: Appointment Management, Smart Reminders & Tele-Consult Dashboards Module 4: NLP and Generative AI in Medical Documentation
* 4.1 Foundations of NLP for Medical Assistants
* 4.2 Practical Applications and Risks
* 4.3 Case Studies
* 4.4 Hands-On Simulation Exercise
* 4.5 Hands-On Session: Automating Clinical Documentation Using Eka.care: Notes, Summaries, and Communication Workflows Module 5: AI in Diagnostics and Screening
* 5.1 Diagnostic Support Tools
* 5.2 Real-World Applications and Simulation
* 5.3 Use Cases
* 5.4 Hands-On: AI-Powered Detection of Common Health Conditions: Review and Analysis of AI-Suggested Diagnostic Insights using Eka Care Module 6: Ethics, Bias, and Regulation in AI for Healthcare
* 6.1 Recognizing and Addressing Bias in AI
* 6.2 Legal, Ethical, and Compliance Frameworks
* 6.3 Hands-On Exercise: Analyzing and Visualizing Bias in Artificial Intelligence Systems — Exploring Racial, Socioeconomic, and Demographic Disparities using Google’s What-If Tool Module 7: Evaluating and Implementing AI Tools
* 7.1 Selecting and Planning for AI Adoption
* 7.2 Best Practices and Stakeholder Engagement
* 7.3 Case Study: Procurement and Early Deployment of AI Tools for Chest Diagnostics in a National Health Service Setting
* 7.4 Hands-On Simulation Exercise: Recognizing Red Flags in Vendor Solutions for AI in Medical Assistant
* 7.5 Hands-On Exercises: Evaluating the Relevance and Effectiveness of AI Models using the Zoho Analytics Module 8: Cybersecurity and Emerging Trends in AI
* 8.1 Cybersecurity Risks and Protection
* 8.2 Future Trends and Preparing for Innovation
* 8.3 Case Studies: EY’s Strategic Transformation: Adapting to Emerging AI Technologies
* 8.4 Hands-On Exercises: Common Cybersecurity Threats in AI-Enabled Healthcare: A Hands-On Exploration Using Google Sheets Tools you will explore
* TensorFlow
* Keras
* Python
* Natural Language Processing (NLP) Tools
* SQL
* Matplotlib
* Power BI
* Healthcare Data Integration Tools
* Electronic Health Record (EHR) Systems
* Patient Scheduling and Coordination Platforms
* AI-Powered Diagnostic Tools
* Medical Imaging Analysis Tools
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
€200
E-Learning
max 999
1 dag
Python Basis
Apeldoorn
ma 15 jun. 2026
en 2 andere data
Leer Python in 3 dagen met praktijkgerichte oefeningen, expertbegeleiding en voorbereiding op het PCEP en/of PCAP examen. Ideaal voor een vliegende start in coderen.
Deze intensieve 3-daagse training biedt een solide basis in Python-programmeren en bereidt je voor op het optionele PCEP en/of PCAP certificeringsexamen. Je leert de fundamentele concepten van Python, zoals variabelen, datatypes, controleflows, datastructuren, functies en foutafhandeling. Door middel van praktijkgerichte oefeningen en begeleiding van ervaren trainers pas je direct de opgedane kennis toe.
Wat kun je verwachten?
* Diepgaande uitleg van geavanceerde Python-concepten
* Hands-on praktijkoefeningen en real-life casestudies
* Feedback en begeleiding van ervaren trainers
* Kennisuitwisseling en samenwerking met medecursisten
* Python voor gevorderden (PY_OC002)
Dag 1: Basisprincipes van Python
* Inleiding tot programmeren en Python
* Interpreter vs. compiler, syntaxis en semantiek
* Variabelen, datatypes en numerieke systemen
* Werken met operators en invoer/uitvoerfuncties Dag 2: Controleflows en Datastructuren
* Beslissingen maken met if, if-else, en if-elif-else
* Iteraties: while, for, range() en in
* Werken met lijsten, tuples en dictionaries
* Stringbewerkingen en list comprehensions Dag 3: Functies en Foutafhandeling
* Functies definiëren en aanroepen
* Parameters, argumenten en scope
* Exception handling (try-except, fouttypes)
* Oefeningen
Bewijs van deelname.
De officiele certififcering PCEP/PCAP is niet inbegrepen in de cursusprijs en kan als los product worden ingekocht.
€1.575
Klassikaal
max 6
3 dagen
Azure DevOps Repos for Data Engineers (English)
Description
In the training "Azure Repos for Data Engineers" we go in depth for one day with Azure Repositories within Azure DevOps . We learn how to effectively use Git within Azure Repos for version management, how to resolve (and prevent) conflicts, and how to fit Azure Repos into your workflow as a Data Engineer or BI Specialist.
In doing so, you will not only learn the best practices for effectively using Git in Azure Repos, but also how Git works behind the scenes. This helps to understand why Git works in a certain way. Moreover, it ensures that you as a team can not only get started immediately after the course, but also have a solid foundation for further learning.
Audience
This training is for developers of data products. Some participants are working with version management for the first time. Others have past experience, for example in Subversion (SVN), Visual SourceSafe, Team Foundation Version Control (TFVC), or Team Foundation Server (TFS). Still others are already using Git in the background - for example in version management you use Azure DevOps, Azure Data Factory or Synapse.
It is important that as a participant you will use Git in Azure Repos for the version management of your Data solutions. And that you want to do this in a professional and good way.
Skills gained
After the "Azure Repos for Data Engineers" training
Do you know how to use Git in Azure Repos to version control your data solutions:
data platform
ETL
Data Engineering tools
Can you resolve conflicts while collaborating with Git
Can you apply branching and merging within Git in Azure Repos
Can you work with:
Topic branches / Feature branches
pull requests
The Release Flow methodology
Do you know about the existence of different workflows with Git, and do you know where to find more information about what fits a team or way of working.
Prerequisites to follow the Azure Repos for Data Engineers training
No special prior knowledge is required for the Azure Repos for Data Engineers training. If you've never worked with Visual Studio Code before, it can help enormously to take a look at this beforehand.
In addition, it is an advantage if you have ever worked with the command line. You don't have to be experienced, but any experience with a Unix/Linux/Mac or DOS/Windows command line is welcome.
Course outline
Introduction and background to Git in Azure Repos
Add, commit and local version control
Collaborate and share developments
Preventing and resolving conflicts
Branching and merging
Git in the data team's practice
Git Collaboration Best Practices
Apply Git for data platforms
Course material
In the training "Azure Repos for Data Engineers" we use material that we have developed ourselves at Wortell Smart Learning. We make sure that you receive all the necessary material on time.
€649
In-company / Maatwerk
Training AI en content
De ontwikkelingen op het gebied van AI gaan razendsnel. Elke seconde worden de AI-tools en -technologieën beter, slimmer en sneller. Er zijn reuzekansen en doemscenario’s. Ik help je op weg met een korte en krachtige basiscursus AI en content.
WAT KUN JE VERWACHTEN VAN DEZE TRAINING AI EN CONTENT?
Deze training AI en content geeft antwoorden op vragen als:
Wat kun jij nu met AI en content?
Welke tools zijn handig om in te zetten en hoe doe je dat?
Waar zitten de (tijdelijke?) zwaktes van AI?
Maar vooral: waar zitten de kansen voor jouw werk en jouw organisatie?
VOOR WIE IS DE TRAINING AI EN CONTENT BEDOELD?
Voor iedereen die nog niet heel bekend is met AI. Die er niet heel veel mee gewerkt heeft. Maar die erg nieuwsgierig is naar hoe AI het werk leuker, sneller, beter én gemakkelijker kan maken. Het is dus echt een basiscursus. Maar wel een die je op weg helpt om heel snel AI succesvol toe te passen voor je organisatie.
€299
In-company / Maatwerk
max 12
GenAI for ERP Professionals
3543 KA Utrecht
do 2 jul. 2026
en 2 andere data
Korte beschrijving
Generative AI… Everyone is talking about it, but what exactly is it? And how can you use it safely in a work environment? Discover this in a practical training with hands-on exercises.
Inhoud
Generative AI, or GenAI, has the ability to learn the characteristics and patterns of data and reapply them for a wide range of purposes. This includes creating text, images, and videos in different styles, as well as generating tailored content. It enables machines to perform creative tasks that were previously thought to be exclusively human. But how can you use this powerful tool in a work environment?
In this training, we explore Generative AI in more depth and cover the following topics:
Throughout the training, the focus is on applying what you learn, and you will be challenged to put the theory into practice through real-world cases.
Generative AI in context: what it is and examples of applications across different sectors.
What is the magic behind Generative AI?
Concerns surrounding GenAI: limits, privacy, and ethics.
GenAI in your line of work
GenAI for ERP Professionals
Doelgroep
This training is intended for:
ERP consultants who want to apply GenAI to improve implementations and optimize processes
Functional ERP specialists seeking to enhance productivity and reduce manual workload with AI tools
Process owners looking to identify AI opportunities that support business performance
Change managers who help organizations adopt AI-supported ways of working
Voorvereisten
A basic understanding of ERP processes is recommended and experience as ERP Consultant on a project is helpful.
No prior AI experience is needed; all concepts are introduced in an accessible and practical manner.
Doelstelling
After completing this training:
You know what Generative AI is and understand how it can be applied.
You understand the underlying mechanisms of GenAI.
You understand the limitations of GenAI.
You know how to handle privacy issues and ethical considerations related to the use of GenAI.
You know how to use GenAI to make your work as ERP Professional more efficient.
€900
Klassikaal
max 15
Masterclass Praktisch Procesmanagment
Zeker. Hieronder staat een aangescherpte versie van precies 150 woorden, waarin de doelgroep expliciet en duidelijk is toegevoegd, zonder het verhaal onnodig op te rekken:
Werk je met processen of wil je procesmatig werken stevig neerzetten in je organisatie? Dan biedt de masterclass Praktisch Procesmanagement je een concrete en toepasbare basis. Deze masterclass is bedoeld voor procesmanagers, procesexperts, teamleiders, kwaliteitsmedewerkers en andere professionals die in hun dagelijkse werk verantwoordelijk zijn voor het verbeteren en beheersen van processen.
In deze training staat niet de theorie uit dikke handboeken centraal, maar de dagelijkse praktijk van procesmanagement. We vertalen onze jarenlange ervaring naar een compacte, interactieve trainingsdag waarin doen en ervaren vooropstaat.
Tijdens de masterclass werk je met realistische simulaties en herkenbare praktijkvoorbeelden, zodat je direct leert hoe je processen ontwerpt, stuurt en verbetert. Je krijgt inzicht in hoe procesmanagement in organisaties daadwerkelijk functioneert, welke rollen daarbij cruciaal zijn en hoe samenwerking tussen die rollen vorm krijgt. Ook besteden we aandacht aan continu verbeteren en de veranderkundige aspecten die nodig zijn om processen echt te laten werken.
Na deze dag kun je procesmanagement direct toepassen in je eigen organisatie.
Wil je de doelgroep nog scherper afbakenen (bijvoorbeeld overheid, zorg of onderwijs), dan kan ik dat verder aanscherpen.
€399
Klassikaal
max 12
Hbo associate degree
BPMN Light procesmodellering
Training BPMN Light
Wil je processen helder en eenduidig in beeld brengen, zodat ze beter begrepen, besproken en verbeterd kunnen worden? Dan biedt de training BPMN Light je een praktische en toegankelijke introductie in procesmodellering. Deze training is bedoeld voor procesmanagers, procesexperts, analisten, kwaliteitsmedewerkers en andere professionals die processen beschrijven of gebruiken in hun werk.
In BPMN Light staat procesmodellering centraal, niet de notatie zelf. BPMN gebruiken we als hulpmiddel om processen duidelijk en herkenbaar vast te leggen, zodat verschillende betrokkenen hetzelfde beeld hebben van hoe het werk daadwerkelijk verloopt. De focus ligt op begrijpelijke modellen die communicatie ondersteunen en besluitvorming verbeteren.
Tijdens de training werk je met herkenbare praktijkvoorbeelden en oefen je met het modelleren van processen op hoofdlijnen. Je leert hoe je BPMN effectief en pragmatisch inzet, zonder te verzanden in complexiteit of overbodige details.
Na deze training kun je processen helder modelleren en BPMN bewust inzetten als ondersteunend middel in je organisatie.
Wil je dat ik deze tekst inhoudelijk lichter, meer technisch of meer gericht op niet-analisten maak, dan pas ik hem verder aan.
€399
Klassikaal
max 12
Hbo associate degree
Retrieval-Augmented Generation RAG - Groep
Bouw betrouwbare en contextbewuste AI-oplossingen met Retrieval-Augmented Generation RAG. Leer hoe je large language models combineert met je eigen data om nauwkeurigere, relevantere en bete
Bouw betrouwbare en contextbewuste AI-oplossingen met Retrieval-Augmented Generation RAG. Leer hoe je large language models combineert met je eigen data om nauwkeurigere, relevantere en beter uitlegbare AI-toepassingen te ontwikkelen. Met praktische oefeningen en realistische use cases bouw je stap voor stap een RAG-architectuur die je direct kunt toepassen in je organisatie of projecten.
€995
E-Learning
24 uren
Retrieval-Augmented Generation RAG - Individueel
Bouw betrouwbare en contextbewuste AI-oplossingen met Retrieval-Augmented Generation RAG. Leer hoe je large language models combineert met je eigen data om nauwkeurigere, relevantere en bete
Bouw betrouwbare en contextbewuste AI-oplossingen met Retrieval-Augmented Generation RAG. Leer hoe je large language models combineert met je eigen data om nauwkeurigere, relevantere en beter uitlegbare AI-toepassingen te ontwikkelen. Met praktische oefeningen en realistische use cases bouw je stap voor stap een RAG-architectuur die je direct kunt toepassen in je organisatie of projecten.
€1.250
E-Learning
24 uren