Oversikt over relevante kurs innen Kurs i programvare og applikasjoner i Aust-Agder

Acrobat Pro DC er et kraftig verktøy som gir deg muligheten til å opprette, redigere og signere PDF-dokumenter. PDF, som står for Portable Document Format, er en standard for å presentere og dele dokumenter uavhengig av programvare, maskinvare og operativsystem. Med Acrobat Pro DC kan du arbeide med tekst, bilder, videoer, koblinger, knapper og skjemaer i PDF-format. PDF-formatet ble introdusert i 1991 av Dr. John Warnock, medgrunnleggeren av Adobe, med målet om å gjøre det enkelt for alle å samle, dele og skrive ut dokumenter fra hvilket som helst program. I dag foretrekkes PDF-formatet av bedrifter over hele verden. I dette kurset, ledet av Espen Faugstad hos Utdannet.no, vil du lære å utnytte Adobe Acrobat Pro DC til fulle. Kurset vil ta deg gjennom programmets organisasjon, verktøy og paneler. Du vil lære å opprette, søke, redigere og organisere PDF-dokumenter. I tillegg vil du bli kjent med elektronisk signering, passordbeskyttelse, skjemaoppretting og kryptering av PDF-dokumenter.   Innhold: Kapittel 1: Organisering og Verktøy Kapittel 2: Opprette PDF Kapittel 3: Søke og Erstatte Kapittel 4: Redigere PDF Kapittel 5: Organisere Sider Kapittel 6: Kommentarer Kapittel 7: Skjema og Signatur Kapittel 8: Beskyttelse og Kryptering Kapittel 9: Lagre PDF Kapittel 10: Avslutning   Varighet: 2 timer og 23 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Vår tjeneste fungerer som strømmetjenester for musikk eller TV-serier, der kundene våre betaler en fast månedspris for tilgang til alle kursene vi har produsert. Plattformen har hatt betydelig vekst de siste årene, med over 30 000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling morsomt, spennende og tilgjengelig for alle, og vi har støtte fra Innovasjon Norge og Forskningsrådet. [-]

AZ-900: Microsoft Azure Fundamentals [-]

Fleksible kurs for fremtiden Ny kunnskap skal gi umiddelbar effekt, og samtidig være holdbar og bærekraftig på lang sikt. NTI AS har 30 års erfaring innen kurs og kompetanseheving, og utdanner årlig rundt 10.000 personer i Nord Europa innen CAD, BIM, industri, design og konstruksjon.   3ds Max grunnkurs   Lag fotorealistiske presentasjoner av dine designløsninger! Her er et utvalg av temaene du vil lære på kurset: Grunnleggende funksjoner – Transformationer vha. move, rotate og scale Link til og import av DWG- og DXF-filer Lyssetning med standard lys Rendering med Scanline renderen og Mental Ray – Basics Editering av 2D- og 3D-geometri Dette kurset er tilpasset for arkitekter, ingeniører, designere og visualiseringseksperter, og gir en introduksjon til design og visualisering i 3ds MAX. Kurset vil gjøre deg i stand til å arbeide med lys, materialer og kamera i eksisterende 3D CAD/BIM-modeller.   Dette er et populært kurs, meld deg på nå!   Tilpassete kurs for bedrifterVi vil at kundene våre skal være best på det de gjør - hele tiden.  Derfor tenker vi langsiktig om kompetanseutvikling og ser regelmessig kunnskapsløft som en naturlig del av en virksomhet. Vårt kurskonsept bygger på et moderne sett av ulike læringsmiljøer, som gjør det enkelt å finne riktig løsning uansett behov. Ta kontakt med oss på telefon 483 12 300, epost: salg@nticad.no eller les mer på www.nticad.no [-]

Fleksible kurs for fremtidenNy kunnskap skal gi umiddelbar effekt, og samtidig være holdbar og bærekraftig på lang sikt. NTI AS har 30 års erfaring innen kurs og kompetanseheving, og utdanner årlig rundt 10.000 personer i Nord Europa innen CAD, BIM, industri, design og konstruksjon.   Her er et utvalg av temaene du vil lære på kurset: Generelt om Nastran In-CAD brukergrensesnitt Gjennomgang av hvilke typer FE-analyser som kan utføres med Nastran In-CAD Innføring i opprettelse av beregningsmodeller i Nastran In-CAD Gjennomføre analyser Vurdere beregningsresultater Presentasjon av beregningsresultater Det blir undervist i grunnleggende funksjonalitet og metodikk som gjør at deltakeren kan skape FE-beregningsmodeller med utgangspunkt i 3D-modeller i Inventor. Autodesk Nastan In-CAD – Grunnkurs er et kurs som alle Inventor-brukere bør gjennomføre for å komme i gang med FE-beregninger av konstruksjoner som modelleres i Inventor.   Tilpassete kurs for bedrifterVi vil at kundene våre skal være best på det de gjør - hele tiden.  Derfor tenker vi langsiktig om kompetanseutvikling og ser regelmessig kunnskapsløft som en naturlig del av en virksomhet. Vårt kurskonsept bygger på et moderne sett av ulike læringsmiljøer, som gjør det enkelt å finne riktig løsning uansett behov. Ta kontakt med oss på telefon 483 12 300, epost: salg@nticad.no eller les mer på www.nticad.no [-]

MS Project: Planlegging og oppfølging av prosjekter [-]

Fleksible kurs for fremtidenNy kunnskap skal gi umiddelbar effekt, og samtidig være holdbar og bærekraftig på lang sikt. NTI AS har 30 års erfaring innen kurs og kompetanseheving, og utdanner årlig rundt 10.000 personer i Nord Europa innen CAD, BIM, industri, design og konstruksjon.   AutoCAD og LT Basis I Her er et utvalg av temaene du vil lære på kurset: AutoCADs brukergrensesnitt Den strategiske bruken av programmet fra start til slutt i tegningsprosessen Utføre og modifisere en tegning Bruk av tegneobjekter Bruk av redigeringsverktøy Laghåndtering, bruk av tekst og målsetting Håndtere layout og plotte den ferdige tegningen Etter kurset vil du ha god kjennskap til AutoCADs brukerflate og hvordan du skal bruke programmet gjennom hele tegneprosessen. Du vil kunne utføre og modifisere en tegning når det gjelder bruk av tegneobjekter, bruk av redigeringsverktøy, laghåndtering, tekstbruk og målsetning samt opprettelse og bruk av blokker. Du vil også kunne håndtere layout og plotte den ferdige tegningen. Dette er et populært kurs, meld deg på nå!   Tilpassete kurs for bedrifterVi vil at kundene våre skal være best på det de gjør - hele tiden.  Derfor tenker vi langsiktig om kompetanseutvikling og ser regelmessig kunnskapsløft som en naturlig del av en virksomhet. Vårt kurskonsept bygger på et moderne sett av ulike læringsmiljøer, som gjør det enkelt å finne riktig løsning uansett behov. Ta kontakt med oss på telefon 483 12 300, epost: salg@nticad.no eller les mer på www.nticad.no [-]

Blended Virtual CourseThe course is a hybrid of virtual training and self-study which will be a mixture of teaching using Microsoft Teams/Zoom for short bursts at the beginning of the day, then setting work for the rest of the day and then coming back at the end of the day for another on-line session for any questions before setting homework in the form of practice exams for the evening. KursinnholdDette 2-dagers kurset passer for deg som ønsker å ta en sertifisering innen Agile Testing. Kurset bygger på ISTQB Foundation syllabus og gir deg grunnleggende ferdigheter innen Agile testing. Kursdato: 14.-15. desember, eksamen 16. desember, kl. 09:00-10:15 Bouvet sine kursdeltakeres testresultater vs ISTQB gjennomsnitt. On completion the Agile Tester will be able to: 1. Understand the fundamentals of Agile Software Development How the various agile approaches differ and understanding the concepts of the Agile ManifestoHow the tester needs to adapt in the agile process for maximum effectiveness. Apply the various aspects relating to agile, such as:o Writing and reviewing User Storieso Working in a continuous integrated environment ando Performing agile retrospectives to improve the process 2. Apply the fundamental Agile testing principles, practices and processes How testing differs when working in an agile lifecycle compared to a more traditional lifecycleHow to work in a highly collaborative and integrated environment.How independent testing can be used within an agile projectHow to report progress and the quality of the product to business stakeholdersUnderstand the role and skills of a tester within an agile team 3. Know the key testing methods, techniques and tools to use within an Agile project Understand Test Driven Development (TDD), Acceptance Driven Development (ADD), Behaviour Driven Development (BDD) and the concepts of the Test Pyramid.Perform the role of a tester within a Scrum teamo Perform test estimation and assess product quality risks within an agile projecto Interpret the information produced during an agile project to support test activitieso Write ADD test caseso Write test cases for both functional and non-functional user storieso Execute exploratory testing within an agile projectRecognise the various tools available to the tester for the various agile activities The exam The ISTQB® Agile Testing exam is a 1 hour 15 minute multiple-choice exam with the pass mark being 65%. You must hold the ISTQB® Foundation certificate in software testing in order to sit this exam.The exam is a remote proctored exam. [-]

TARGET AUDIENCE Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C#, Python, or JavaScript and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure. COURSE OBJECTIVES After completing this course you should be able to: Describe considerations for creating AI-enabled applications Identify Azure services for AI application development Provision and consume cognitive services in Azure Manage cognitive services security Monitor cognitive services Use a cognitive services container Use the Text Analytics cognitive service to analyze text Use the Translator cognitive service to translate text Use the Speech cognitive service to recognize and synthesize speech Use the Speech cognitive service to translate speech Create a Language Understanding app Create a client application for Language Understanding Integrate Language Understanding and Speech Use QnA Maker to create a knowledge base Use a QnA knowledge base in an app or bot Use the Bot Framework SDK to create a bot Use the Bot Framework Composer to create a bot Use the Computer Vision service to analyze images Use Video Indexer to analyze videos Use the Custom Vision service to implement image classification Use the Custom Vision service to implement object detection Detect faces with the Computer Vision service Detect, analyze, and recognize faces with the Face service Use the Computer Vision service to read text in images and documents Use the Form Recognizer service to extract data from digital forms Create an intelligent search solution with Azure Cognitive Search Implement a custom skill in an Azure Cognitive Search enrichment pipeline Use Azure Cognitive Search to create a knowledge store   COURSE CONTENT Module 1: Introduction to AI on Azure Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly. Introduction to Artificial Intelligence Artificial Intelligence in Azure Module 2: Developing AI Apps with Cognitive Services Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services. Getting Started with Cognitive Services Using Cognitive Services for Enterprise Applications Lab: Get Started with Cognitive Services Lab: Get Started with Cognitive Services Lab: Monitor Cognitive Services Lab: Use a Cognitive Services Container Module 3: Getting Started with Natural Language Processing  Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text. Analyzing Text Translating Text Lab: Analyze Text Lab: Translate Text Module 4: Building Speech-Enabled Applications Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications. Speech Recognition and Synthesis Speech Translation Lab: Recognize and Synthesize Speech Lab: Translate Speech Module 5: Creating Language Understanding Solutions To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input. Creating a Language Understanding App Publishing and Using a Language Understanding App Using Language Understanding with Speech Lab: Create a Language Understanding App Lab: Create a Language Understanding Client Application Use the Speech and Language Understanding Services Module 6: Building a QnA Solution One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution. Creating a QnA Knowledge Base Publishing and Using a QnA Knowledge Base Lab: Create a QnA Solution Module 7: Conversational AI and the Azure Bot Service Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences. Bot Basics Implementing a Conversational Bot Lab: Create a Bot with the Bot Framework SDK Lab: Create a Bot with a Bot Freamwork Composer Module 8: Getting Started with Computer Vision Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video. Analyzing Images Analyzing Videos Lab: Analyse Images with Computer Vision Lab: Analyze Images with Video Indexer Module 9: Developing Custom Vision Solutions While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models. Image Classification Object Detection Lab: Classify Images with Custom Vision Lab: Detect Objects in Images with Custom Vision Module 10: Detecting, Analyzing, and Recognizing Faces Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces. Detecting Faces with the Computer Vision Service Using the Face Service Lab:Destect, Analyze and Recognize Faces Module 11: Reading Text in Images and Documents Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms. Reading text with the Computer Vision Service Extracting Information from Forms with the Form Recognizer service Lab: Read Text in IMages Lab: Extract Data from Forms Module 12: Creating a Knowledge Mining Solution Ultimately, many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights. Implementing an Intelligent Search Solution Developing Custom Skills for an Enrichment Pipeline Creating a Knowledge Store Lab: Create and Azure Cognitive Search Solution Create a Custom Skill for Azure Cognitive Search Create a Knowledge Store with Azure Cognitive Search   TEST CERTIFICATION Recommended as preparation for the following exams: AI-102 - Designing and Implementing a Microsoft Azure AI Solution - Part of the requirements for the Microsoft Certified Azure AI Engineer Associate Certification.   HVORFOR VELGE SG PARTNER AS:  Flest kurs med Startgaranti Rimeligste kurs Beste service og personlig oppfølgning Tilgang til opptak etter endt kurs Partner med flere av verdens beste kursleverandører [-]

Her er et utvalg av temaene du vil lære på kurset: Oppsett av nytt sprinklerprosjekt i Revit Prosjektering av sprinkleranlegg Behandling av rørtyper, systemer etc Lage egne produkter for sprinklerhoder og andre produkter Hydrauliske beregninger IFC-eksport Oppsett av tegninger [-]

Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring. Objectives This course teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine   Course Outline Module 1: Introduction to Google Cloud Platform Use the Google Cloud Platform Console Use Cloud Shell Define cloud computing Identify GCP’s compute services Understand regions and zones Understand the cloud resource hierarchy Administer your GCP resources Module 2: Containers and Kubernetes in GCP Create a container using Cloud Build Store a container in Container Registry Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE) Understand how to choose among GCP compute platforms Module 3: Kubernetes Architecture Understand the architecture of Kubernetes: pods, namespaces Understand the control-plane components of Kubernetes Create container images using Google Cloud Build Store container images in Google Container Registry Create a Kubernetes Engine cluster Module 4: Kubernetes Operations Work with the kubectl command Inspect the cluster and Pods View a Pod’s console output Sign in to a Pod interactivelty Module 5: Deployment, Jobs, and Scaling Create and use Deployments Create and run Jobs and CronJobs Scale clusters manually and automatically Configure Node and Pod affinity Get software into your cluster with Helm charts and Kubernetes Marketplace Module 6: GKE Networking Create Services to expose applications that are running within Pods Use load balancers to expose Services to external clients Create Ingress resources for HTTP(S) load balancing Leverage container-native load balancing to improve Pod load balancing Define Kubernetes network policies to allow and block traffic to pods Module 7: Persistent Data and Storage Use Secrets to isolate security credentials Use ConfigMaps to isolate configuration artifacts Push out and roll back updates to Secrets and ConfigMaps Configure Persistent Storage Volumes for Kubernetes Pods Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts Module 8: Access Control and Security in Kubernetes and Kubernetes Engine Understand Kubernetes authentication and authorization Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources Define Kubernetes pod security policies Understand the structure of GCP IAM Define IAM roles and policies for Kubernetes Engine cluster administration Module 9: Logging and Monitoring Use Stackdriver to monitor and manage availability and performance Locate and inspect Kubernetes logs Create probes for wellness checks on live applications Module 10: Using GCP Managed Storage Services from Kubernetes Applications Understand pros and cons for using a managed storage service versus self-managed containerized storage Enable applications running in GKE to access GCP storage services Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and BigQuery from within a Kubernetes application [-]

Kurset er rettet mot deg som har vært gjennom Revit Grunnkurs for bygg og har litt erfaring i bruk av programmet.  Hensikten med kurset er å gi deg en utvidet forståelse av bruken av 3D-prosjekteringsverktøyet Autodesk Revit Structure. Du vil lære avansert funksjonalitet i Revit Structure og få et dypere innblikk i de mulighetene programmet gir. For eksempel håndtering av Revit-prosjekter og utarbeidelse av rapporter, armeringstegninger og bøyelister. Kursinnhold Tags Families Group Tabeller Armering med norsk bøyeliste DWG import - export Fagverk Terreng/kart Prosjektfaser Worksharing Legend Filter I løpet av kurset gjøres øvelser for alle emner som blir tatt opp. [-]

Oracle Database: Administration Workshop [-]

HENSIKTHensikten med kurset er å gi deltagerne en grunnleggende forståelse i bruken av tegne- og konstruksjonsprogrammet Autodesk Revit. Kurset er nødvendig for å komme raskt i gang med Autodesk Revit, og for å få den nødvendige forståelse for de mulighetene programmet gir. UTDANNINGSMÅLDu vil lære grunnleggende teknikk for bruk av programmet, og skal kunne bruke programmet til å lage 3D-modeller av bygninger, hente ut informasjon fra modellen og kunne produsere 2D-arbeidstegninger basert på 3D-modellen. KURSINNHOLD: Introduksjon av Autodesk Revit Architecture Brukergrensesnitt Behandling av visninger Oppretting av Etasjeplan og Rutenett Søyler Vegger, dører, vinduer Gulv/Himling Tak Editeringsverktøy Dimensjonering/Tekst/Tittelfelt Detaljering Utskrift Kurset er på norsk, men kursmanualen er engelsk. [-]

Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. Course Objectives This course teaches participants the following skills: Configure VPC networks and virtual machines Administer Identity and Access Management for resources Implement data storage services in Google Cloud Manage and examine billing of Google Cloud resources Monitor resources using Google Cloud services Connect your infrastructure to Google Cloud Configure load balancers and autoscaling for VM instances Automate the deployment of Google Cloud infrastructure services Leverage managed services in Google Cloud All courses will be delivered in partnership with ROI Training, Google Cloud Premier Partner, using a Google Authorized Trainer. Course Outline Module 1: Introduction to Google Cloud -List the different ways of interacting with Google Cloud-Use the Cloud Console and Cloud Shell-Create Cloud Storage buckets-Use the Google Cloud Marketplace to deploy solutions Module 2: Virtual Networks -List the VPC objects in Google Cloud-Differentiate between the different types of VPC networks-Implement VPC networks and firewall rules-Implement Private Google Access and Cloud NAT Module 3: Virtual Machines -Recall the CPU and memory options for virtual machines-Describe the disk options for virtual machines-Explain VM pricing and discounts-Use Compute Engine to create and customize VM instances Module 4: Cloud IAM -Describe the Cloud IAM resource hierarchy-Explain the different types of IAM roles-Recall the different types of IAM members-Implement access control for resources using Cloud IAM Module 5: Data Storage Services -Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable-Choose a data storage service based on your requirements-Implement data storage services Module 6: Resource Management -Describe the cloud resource manager hierarchy-Recognize how quotas protect Google Cloud customers-Use labels to organize resources-Explain the behavior of budget alerts in Google Cloud-Examine billing data with BigQuery Module 7: Resource Monitoring -Describe the services for monitoring, logging, error reporting, tracing, and debugging-Create charts, alerts, and uptime checks for resources with Cloud Monitoring-Use Cloud Debugger to identify and fix errors Module 8: Interconnecting Networks -Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud-Determine which Google Cloud interconnect or peering service to use in specific circumstances-Create and configure VPN gateways-Recall when to use Shared VPC and when to use VPC Network Peering Module 9: Load Balancing and Autoscaling -Recall the various load balancing services-Determine which Google Cloud load balancer to use in specific circumstances-Describe autoscaling behavior-Configure load balancers and autoscaling Module 10: Infrastructure Modernization -Automate the deployment of Google Cloud services using Deployment Manager or Terraform-Outline the Google Cloud Marketplace Module 11: Managed Services Describe the managed services for data processing in Google Cloud [-]

This course is ideal for individuals or teams who wish to build a solid understanding of ArchiMate 3 and develop architecture artifacts using ArchiMate. What's new in ArchiMate 3.0? Like ArchiMate 2, ArchiMate 3 is a comprehensive modeling language that allows architects to create commonly understood and integrated visualizations of the essential enterprise architecture domains. Published as an Open Group Standard in June 2016, the ArchiMate 3 specification is a major update to ArchiMate 2.1. New features in version 3 include:• New concepts - Strategy and Motivation• New entities – Application, Technology and Implementation layers• Better ways to connect planning with implementation• Improvements in cross-layer relationships• New ‘Physical’ layer• Improvements in the viewpoints definition mechanism   Examination Certification in ArchiMate requires you to pass both a Foundation exam and a Certified exam.The Foundation exam is a closed book, multiple choice exam consisting of 40 questions. There is a time limit of 60 minutes and the pass-rate is 60%.After passing the Foundation exam you can then move onto the Practitioner exam, which is an open book, multiple choice exam consisting of eight questions. There is a time limit of 90 minutes and the pass-rate is 70%.A number of exercises are interspersed throughout the course, which are aimed at testing your understanding and practical application of the training you have just received. At the end of the course, a number of mock-exam case study scenarios are provided which have been designed to simulate the actual exam.After passing both exams you will become a certified ArchiMate 3 Practitioner! [-]