Oversikt over relevante kurs innen IT-kurs i Kronobergs län

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. [-]

Kurset fokuserer på integrering av forskjellige verdistrømmer og aktiviteter for å lage, levere og støtte IT-aktiverte produkter og tjenester, samtidig som den dekker støtte for praksis, metoder og verktøy. Kurset gir kandidatene forståelse for tjenestekvalitet og forbedringsmetoder. E-læringskurset inneholder 18 timer med undervisning, og er delt inn i 8 moduler. Les mer om ITIL® 4 på AXELOS sine websider. Inkluderer: Tilgang til ITIL® 4 Specialist: Create, Deliver and Support e-læring (engelsk) i 12 måneder. ITIL® 4 Specialist: Create, Deliver and Support online voucher til sertifiseringstest.  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. ITIL®/PRINCE2®/MSP®/MoP® are registered trademarks of AXELOS Limited, used under permission of AXELOS Limited. All rights reserved. [-]

AZ-1008: Administer Active Directory Domain Services [-]

Kurset fokuserer på konvertering av etterspørsel til verdi via IT-relaterte tjenester. Modulen dekker sentrale emner som SLA-design, styring av flere leverandører, kommunikasjon, relasjonsstyring, CX- og UX-design, kartlegging av kunder og mer. E-læringskurset inneholder 18 timer med undervisning, og er delt inn i 8 moduler. Les mer om ITIL® 4 på  AXELOS sine websider. 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. [-]

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 [-]

Developing on AWS [-]

MS-203: Microsoft 365 Messaging (Exchange) [-]

Dykke ned i verden av råformat-bildebehandling med "Camera Raw: Komplett", ledet av Espen Faugstad hos Utdannet.no. Adobe Camera Raw, lansert i 2003, er et kraftig verktøy for import og forbedring av råformatbilder og er integrert i flere Adobe-programmer som Bridge, Photoshop, og Lightroom. Dette kurset er designet for å gi deg en grundig forståelse av Camera Raw, uavhengig av tidligere erfaring. Du vil lære hvordan du effektivt beskjærer bilder, justerer hvitbalanse, eksponering og fargemetning. Kurset dekker også hvordan du korrigerer bildeperspektiv og objektivfeil, og hvordan du anvender lokaljusteringer for å forbedre dine bilder. Espen vil guide deg gjennom de forskjellige aspektene av Camera Raw, fra grunnleggende til mer avanserte teknikker. Med praktiske prosjekter og eksempler vil du få praktisk erfaring som vil tillate deg å anvende din nye kunnskap til dine egne fotoprosjekter. Ved kursets slutt vil du ha en dyptgående forståelse av Camera Raw og være i stand til å bruke verktøyet for å forbedre dine bilder på en profesjonell måte.   Innhold: Kapittel 1: Introduksjon Kapittel 2: Beskjære Kapittel 3: Basic Kapittel 4: Detail Kapittel 5: Lens corrections Kapittel 6: Resterende Kapittel 7: Spot removal Kapittel 8: Adjustment brush Kapittel 9: Filters Kapittel 10: Prosjekter Kapittel 11: Eksportere Kapittel 12: Avslutning   Varighet: 2 timer og 50 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Tjenesten fungerer på samme måte som strømmetjenester for musikk eller TV-serier. Våre kunder betaler en fast månedspris og får tilgang til alle kursene som er produsert så langt. Plattformen har hatt en god vekst de siste årene og kan skilte med 30.000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling moro, spennende og tilgjengelig for alle – og med oss har vi Innovasjon Norge og Forskningsrådet. [-]

UX Foundation [-]

God formatering i Microsoft Excel handler ikke bare om å få et regneark til å se pent ut; det handler like mye om å kommunisere effektivt. Et dårlig formatert regneark kan gjøre det vanskelig å lese og forstå innholdet. Derimot vil et godt formatert regneark gjøre det enklere å absorbere informasjonen som presenteres. Dette kurset, ledet av Espen Faugstad, vil gi deg ferdighetene du trenger for å formatere data i Microsoft Excel på avansert nivå. Du vil lære hvordan du gjør regnearket mer leselig, forståelig og effektivt. Emner inkluderer formatering av tekstverdier og tallverdier, opprettelse av egendefinerte formateringsregler, tilpasning av rader, kolonner og celler, formatering av tabeller, diagrammer og bilder, og mye mer. Kurset er delt inn i følgende kapitler: Kapittel 1: Introduksjon Kapittel 2: Skrift Kapittel 3: Justering Kapittel 4: Tall Kapittel 5: Stiler Kapittel 6: Celler Kapittel 7: Tabell Kapittel 8: Diagrammer Kapittel 9: Bilder Kapittel 10: Avslutning Etter å ha fullført kurset, vil du kunne bruke avansert formatering i Excel for å forbedre presentasjonen og lesbarheten av dine regneark, noe som er uvurderlig for effektiv kommunikasjon og dataanalyse.   Varighet: 2 timer og 27 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Vår tjeneste fungerer på samme måte som strømmetjenester for musikk eller TV-serier, der våre kunder betaler en fast månedspris for tilgang til alle kursene vi har tilgjengelig. Vi har opplevd betydelig vekst de siste årene, med over 30 000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling engasjerende, spennende og tilgjengelig for alle, og vi har støtte fra Innovasjon Norge og Forskningsrådet. [-]

Jira Project Administration (Cloud) [-]

Kursinnhold: De ulike begrepene som blir brukt i Google Analytics Segmentering av brukere i statistikken Hvordan lese relevant statistikk Hva du kan bruke tallene til videre i din markedsføring Hvordan nettsidene dine fungerer og hvor konverteringene kommer fra [-]

COURSE OVERVIEW The Certified Information Systems Security Professional (CISSP) is the most globally recognized certification in the cybersecurity market. CISSP validates a cybersecurity professional’s deep technical and managerial knowledge and experience to effectively design, engineer and manage an organization’s overall security posture. Please note an exam voucher is included as part of this course TARGET AUDIENCE Cybersecurity professionals with at least 5 years in the information security field. Member data has shown that amajority of CISSP holders are in middle management and a much smaller proportion are in senior or junior/entry-level positions. Roles include:• Chief Information Officer• Chief Information Security Officer• Chief Technology Officer• Compliance Manager / Officer• Director of Security• Information Architect• Information Manager / Information RiskManager or Consultant• IT Specialist / Director / Manager• Network / System Administrator• Security Administrator• Security Architect / Security Analyst• Security Consultant• Security Manager• Security Systems Engineer / Security EngineerSectorsCISSP is relevant across all sectors and industries, including:• Aerospace• Automotive• Banking, financial services, insurance (BFSI)• Construction• Cybersecurity• Energy• Engineering• Government• Healthcare, IT products, services, consulting• Manufacturing• Pharma• Retail• Telecom COURSE OBJECTIVESAfter completing this course you should be able to: Understand and apply fundamental concepts and methods related to the fields of information technology and security Align overall organizational operational goals with security functions and implementations. Understand how to protect assets of the organization as they go through their lifecycle. Understand the concepts, principles, structures and standards used to design, implement, monitor and secure operating systems, equipment, networks, applications and those controls used to enforce various levels of confidentiality, integrity and availability. Implement system security through the application of security design principles and application of appropriate security control mitigations for vulnerabilities present in common information system types and architectures. Understand the importance of cryptography and the security services it can provide in today’s digital and information age. Understand the impact of physical security elements on information system security and apply secure design principles to evaluate or recommend appropriate physical security protections. Understand the elements that comprise communication and network security coupled with a thorough description of how the communication and network systems function. List the concepts and architecture that define the associated technology and implementation systems and protocols at Open Systems Interconnection (OSI) model layers 1-7. Identify standard terms for applying physical and logical access controls to environments related to their security practice. Appraise various access control models to meet business security requirements. Name primary methods for designing and validating test and audit strategies that support business requirements. Enhance and optimize an organization’s operational function and capacity by applying and utilizing appropriate security controls and countermeasures. Recognize risks to an organization’s operational endeavours and assess specific threats, vulnerabilities and controls. Understand the System Lifecycle (SLC) and the Software Development Lifecycle (SDLC) and how to apply security to it; identify which security control(s) are appropriate for the development environment; and assess the effectiveness of software security. COURSE CONTENT Domain 1: Security and Risk Management Domain 2: Asset Security Domain 3: Security Architecture and Engineering Domain 4: Communication and Network Security Domain 5: Identity and Access Management (IAM) Domain 6: Security Assessment and Testing Domain 7: Security Operations Domain 8: Software Development Security TEST CERTIFICATION Recommended as preparation for the following exam: (ISC)2 Certified Information Systems Security Professional Gaining this accreditation is not just about passing the exam, there are a number of other criteria that need to be met including 5 years of cumulative, paid work experience in two or more of the eight domains of the (ISC)²® CISSP CBK . Full details can be found at https://www.isc2.org/cissp/default.aspx Those without the required experience can take the exam to become an Associate of (ISC)²  while working towards the experience needed for full certification Please note an exam voucher is included as part of this course   [-]

RH124: Red Hat System Administration I - Linux (RHEL) [-]

Google Cloud Fundamentals: Core Infrastructure [-]