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Nettstudie 12 måneder 5 000 kr
Learn how to move new or changed hardware, software, documentation, processes, or any other component to live environments, and how to deploy components to other environm... [+]
Understand the purpose and key concepts of Deployment Management, highlighting its importance in managing the deployment of new or changed services into the live environment. This eLearning is: Interactive Self-paced   Device-friendly   2-3 hours of content   Mobile-optimised   Exam: 20 questions Multiple choise 30 minutes Closed book Minimum required score to pass: 65% [-]
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Nettstudie 12 måneder 5 000 kr
Learn to deliver an agreed quality of service by handling all predefined, user-initiated service requests in an effective and user-friendly manner. [+]
Understand the purpose and key concepts of the Continual Improvement Practice, elucidating its significance in fostering a culture of ongoing improvement and innovation within the organisation. This eLearning is: Interactive Self-paced   Device-friendly   2-3 hours content   Mobile-optimised   Practical exercises   Exam: 20 questions Multiple choise 30 minutes Closed book Minimum required score to pass: 65% [-]
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1 dag 9 500 kr
19 Sep
14 Nov
AZ-1008: Administer Active Directory Domain Services [+]
AZ-1008: Administer Active Directory Domain Services [-]
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Nettstudie 12 måneder 5 000 kr
The purpose of this module is to provide best practice guidance on how to set clear, business-based targets for service utility, warranty and experience. [+]
Understand the purpose and key concepts of the Service Level Management Practice, elucidating its significance in defining, negotiating, and managing service levels to meet customer expectations. This eLearning is: Interactive Self-paced   Device-friendly   2-3 hours content   Mobile-optimised   Practical exercises   Exam: 20 questions Multiple choise 30 minutes Closed book Minimum required score to pass: 65% [-]
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Nettstudie 12 måneder 12 000 kr
A combined module that covers the key concepts of 5 ITIL Practices: Relationship Management, Supplier Management, Service Level Management, Continual Improvement and Info... [+]
Understand the key concepts of Relationship Management, Supplier Management, Service Level Management, Continual Improvement, and Information Security Management, elucidating their significance in fostering collaboration, ensuring service quality, driving continual improvement, and maintaining information security. This eLearning is: Interactive Self-paced   Device-friendly   12 hours content   Mobile-optimised   Practical exercises   Exam: 60 questions Multiple choise 90 minutes Closed book Minimum required score to pass: 65% [-]
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Nettkurs 12 måneder 11 500 kr
ITIL® er det mest utbredte og anerkjente rammeverket for IT Service Management (ITSM) i verden, og ITIL® 4 Foundation er et introduksjonskurs til rammeverket. [+]
ITIL® 4 Foundation-kurset er en introduksjon til ITIL® 4. Kurset lar kandidater se på IT-tjenestestyring gjennom en ende-til-ende driftsmodell, som inkluderer oppretting, levering og kontinuerlig forbedring av IT-relaterte produkter og tjenester. E-læringskurset inneholder 12 timer med undervisning, og er delt inn i 8 moduler. Les mer om ITIL® 4 på AXELOS sine websider. Inkluderer: Tilgang til ITIL® 4 Foundation e-læring (engelsk) i 12 måneder. ITIL® Foundation online voucher til sertifiseringstest + digital ITIL Foundation bok Du vil motta en e-post med tilgang til e-læringen, sertifiseringsvoucher og digital bok fra Peoplecert. Du avtaler tid for sertifiseringen som beskrevet i e-posten fra Peoplecert. Sertifiseringen består av: 40 spørsmål Multiple Choice 60 minutter + 15 minutter til rådighet dersom du ikke har engelsk som morsmål For å bestå må du ha minimum 26 riktige (65%) Ingen hjelpemidler tillatt ITIL®/PRINCE2®/MSP®/MoP® are registered trademarks of AXELOS Limited, used under permission of AXELOS Limited. All rights reserved. [-]
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Nettstudie 12 måneder 5 000 kr
Learn how to improve user and customer experience, as well as the overall success of your service relationships. [+]
Understand the purpose and key concepts of the Service Desk practice, including how it serves as the central point of contact between the service provider and the users, facilitating effective communication. This eLearning is: Interactive Self-paced Device-friendly 2-3 hours content mobil-optimised practical exercises     Exam: 20 questions Multiple Choice 30 minutes Closed book Minimum required score to pass: (65%)   [-]
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Nettstudie 12 måneder 5 000 kr
Learn to provide accurate and reliable information about the configuration of services and configuration support items when and where it is needed. [+]
Understand the purpose and key concepts of Service Configuration Management, including its role in maintaining accurate and reliable information about configuration items (CIs) within the IT infrastructure. This eLearning is: Interactive Self-paced Device-friendly 2-3 hours content Mobile-optimised Practical exercises   Exam: 20 questions Multiple Choice 30 Minutes Closed book Pass Mark: 65% [-]
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Oslo 1 dag 9 900 kr
19 Sep
19 Sep
05 Dec
AWS Technical Essentials [+]
AWS Technical Essentials [-]
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2 dager 12 900 kr
Ønsker du å jobbe med ulike tegninger i Visio, men føler du ikke mestrer programmet? Vil du i tillegg kunne lage egne maler for å jobbe mer effektivt? Da er ”Visio ... [+]
Ønsker du å jobbe med ulike tegninger i Visio, men føler du ikke mestrer programmet? Vil du i tillegg kunne lage egne maler for å jobbe mer effektivt? Da er ”Visio Grunnleggende” kurset for deg! Kurset kan også spesialtilpasses og holdes bedriftsinternt i deres eller våre lokaler.   Kursinnhold:   Dag 1    Hva er Visio? Få oversikt. Bli kjent med programvinduet og hvordan du kan tilpasse det etter dine behov. Mal. Hvordan er en mal bygd opp og hvordan jobbe med en tegning? Formatering. Lær å formatere og hva formateringsbegrepet betyr. Sjablonger og figurer. Hva er sjablonger og figurer?   Å jobbe effektivt med Visio Bygge opp en tegning. Lær å bygge opp en tegning fra bunnen av. Hurtigtaster. Effektiv bruk av tastatur og mus. Formatering. Bruk formatering for å gjøre tegningene oversiktlige og informasjonen mest mulig tilgjengelig. Ark. Lær å jobbe med flere ark, navngi dem, slette dem, bruke bakgrunner etc. Praktisk oppgaveløsing. Jobb med skreddersydde oppgaver innenfor dagens temaer. Andre Office-programmer. Lær å bruke Visio-tegninger i andre Office-programmer.   Flytskjema og organisasjonskart Koblinger. Lær å koble figurer på en effektiv måte. Oppsett. Hvordan sørge for at figurene står plassert på en nøyaktig og oversiktlig måte? Navigasjon. Bygge opp praktisk navigasjon mellom sidene i en større tegning.   Dag 2    Nettverksdiagram Figurdata. Knytt praktisk informasjon til figurene i tegningen. Rapporter. Hvordan hente ut rapporter fra en tegning?   Prosjektplaner Tidslinje. Illustrere faser i et prosjekt på en oversiktlig måte. Gantt-diagram. Vise prosjektinformasjon på en mer detaljert måte. Utskrift. Få oversikt over de vanligste problemstillingene ved utskrift.   Egne maler Maler. Hva er maler, deres styrke og hvordan kan jeg utnytte dem best mulig i mitt arbeid? Sjablonger. Bygge opp en egen samling med de figurene du skal bruke. Figurer. Lær å lage egne tilpassede figurer. Praktisk oppgaveløsing. Jobb med skreddersydde oppgaver innenfor dagens temaer.   4 gode grunner til å velge KnowledgeGroup 1. Best practice kursinnhold 2. Markedets beste instruktører 3. Små kursgrupper 4. Kvalitets- og startgaranti   [-]
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Nettkurs 365 dager 2 995 kr
Excelkurs Basis - elæringskurs [+]
Excelkurs Basis - elæringskurs [-]
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4 dager 25 000 kr
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services... [+]
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 [-]
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Bedriftsintern 1 dag 11 000 kr
This course will teach you how to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those wo... [+]
Objectives Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Understand how pod networking works in Google Kubernetes Engine Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/kubectl commands   Course Outline Module 1: Introduction to Google Cloud -Use the Google Cloud Console-Use Cloud Shell-Define Cloud Computing-Identify Google Cloud compute services-Understand Regions and Zones-Understand the Cloud Resource Hierarchy-Administer your Google Cloud Resources Module 2: Containers and Kubernetes in Google Cloud -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 Google Cloud Compute Platforms Module 3: Kubernetes Architecture -Understand the Architecture of Kubernetes: Pods, Namespaces-Understand the Control-plane Components of Kubernetes-Create Container Images using Cloud Build-Store Container Images in Container Registry-Create a Kubernetes Engine Cluster Module 4: Introduction to Kubernetes Workloads -The kubectl Command-Introduction to Deployments-Pod Networking-Volumes Overview [-]
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Virtuelt klasserom 4 dager 15 900 kr
Dette er et grunnleggende kurs i SQL-programmering. Kurset passer godt for deg som skal jobbe med relasjonelle databaser, som f.eks. Oracle, PostgreSQL, Microsoft SQL-ser... [+]
Dette er et grunnleggende kurs i SQL-programmering. Kurset passer godt for deg som skal jobbe med relasjonelle databaser, som f.eks. Oracle, PostgreSQL, Microsoft SQL-server eller MySQL/MariaDB.   Etter gjennomført kurs vil deltakerne være fortrolige med å opprette databaser og tabeller, sette inn data, endre og slette data og søke etter data i SQL-databaser.    Kursinnhold Introduksjon til relasjonsdatabaser og relasjonsmodellen: normalisering på tredje normalform. Introduksjon til MySQL, PostgreSQL, Oracle Express og tilhørende verktøy Introduksjon til SQL i Big Data (HiveQL, Cassandra QL, Phoenix HBase-klient) Søk i SQL-databaser, bl.a. med bruk av under-spørringer og inner og outer joins. Filtrering, gruppering og sortering av data. Oppretting, endring, kopiering og sletting av databaser og tabeller, Innsetting, oppdatering og sletting av data i tabeller Bruk av indekser og views. Skjema-design med bruk av ulike data-typer, tegnsett og lagringsformater. Introduksjon til MySQL, PostgreSQL og Oracle Express Bruk av bl.a. MySQL Workbench, PhPMyAdmin og Oracle Application Express. Kurset gjennomføres med en kombinasjon av online læringsmidler, gjennomgang av temaer og problemstillinger og praktiske øvelser med ulike typer datasett.    Kursinstruktør Terje Berg-Hansen Terje Berg-Hansen har bred erfaring fra prosjektledelse, utvikling og drift med små og store databaser, både SQL- og NoSQL-baserte. I tillegg til å undervise i etablerte teknologier leder han også Oslo Hadoop User Group, og er levende interessert i nye teknologier, distribuerte databaser og Big Data Science.      [-]
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2 dager 12 900 kr
10 Sep
11 Nov
Effektiv prosjektstyring med Microsoft Project [+]
Effektiv prosjektstyring med Microsoft Project [-]
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