Oversikt over relevante kurs innen IT-kurs i Kronobergs län

Modulen dekker bruk og effekt av Lean og agile arbeidsmåter, og hvordan dette kan utnyttes til fordel for organisasjonen. Kurset vil gi kandidatene en praktisk og strategisk metode for å planlegge og levere kontinuerlig forbedring med nødvendig smidighet.  E-læringskurset inneholder 18 timer med undervisning, og er delt inn i 12 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.   [-]

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

Microsoft SharePoint er en plattform som gir bedrifter og organisasjoner muligheten til å lagre, organisere og dele dokumenter på en effektiv måte. I motsetning til programvare som Word, PowerPoint og Excel, som installeres på enkelte datamaskiner, krever SharePoint enten installasjon på en server eller bruk via skytjenester. Før SharePoint ble utviklet, var det vanlig å lagre dokumenter på enkelte ansattes datamaskiner, og deling av dokumenter involverte ofte e-post. Dette kunne føre til forvirring om hvor dokumentene befant seg og hvem som hadde den siste versjonen. SharePoint løser dette ved å tilby en plattform der alle ansatte kan samarbeide og dele dokumenter på en organisert måte. I dette kurset, ledet av Espen Faugstad, vil du lære å bruke SharePoint effektivt. Kurset dekker følgende emner: Kapittel 1: Introduksjon til Office 365 og SharePoint-organisering Kapittel 2: Opprettelse og tilpasning av SharePoint-områder Kapittel 3: Håndtering av dokumenter, inkludert opprettelse, organisering og deling Kapittel 4: Redigering og samarbeid om dokumenter Kapittel 5: Opprettelse og importering av egendefinerte lister Kapittel 6: Utforming og tilpasning av SharePoint-sider Kapittel 7: Søking og gjenfinning av dokumenter Kapittel 8: Administrasjon av grupper og brukertillatelser Kapittel 9: Avslutning Etter å ha fullført kurset, vil du ha de nødvendige ferdighetene til å bruke SharePoint for å organisere og samarbeide om dokumenter og annet innhold. Du vil også kunne administrere brukertillatelser og effektivt utnytte SharePoint-plattformen for din bedrift eller organisasjon.   Varighet: 3 timer   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. [-]

COURSE OVERVIEW . It also prepares delegates for the ITIL Foundation Certificate Examination. The course is based on the ITIL4 best practice service value system featured in the latest 2019 guidelines. TARGET AUDIENCE This course is aimed at all levels of IT professional and those involved in designing, building, delivering and managing modern digital products and services. COURSE OBJECTIVES After you complete this course you will be able to: Key IT service management concepts. How ITIL guiding principles can help and organization to adopt and adapt service management. The 4 dimensions of service management. The purpose and components of the service value system. The activities of the service value chain and how the interconnect. Know the purpose of key ITIL practices. Sit the ITIL4 foundation examination - Sample papers are set during the class by instructors to take during the class or as homework exercises. COURSE CONTENT IT Service Management definitions; Service, Utility, Warranty, Customer, User, Service management, Sponsor Key concepts of value creation Key concepts of service relationships; service offering; service provision; service consumption; service relationship management The nature, use and interaction of 7 ITIL guiding principles; Focus on value; Start where you are; Progress iteratively with feedback; Collaborate and promote visibility; Think and work holistically; Keep it simple and practical; Optimize and automate The 4 dimensions of service management; Organizations and people; Information and technology; Partners and suppliers; Value streams and processes    The ITIL service value system The service value chain, its inputs and outputs, and its role in supporting value streams Service value chain elements; Plan, Improve, Engage, Design & transition, Obtain / Build, Deliver & support Detail of how the following ITIL practices support the service value chain: -  Continual Improvement (including continual improvement model); Change control; Incident management; Problem Management; Service request management;  Service desk; Service level management The purpose of the following ITIL practices: - Information security management; Relationship management; Supplier management; Availability management; Capacity and performance management; Service configuration management;    IT asset management; Business analysis; Service continuity management; Deployment management; Monitoring and event management; Release management   TEST CERTIFICATION Recommended preparation for exam(s): ITIL4 Foundation Certificate in IT Service Management This is a pre-requisite for other ITIL4 qualifications. The examination is a 1 hour, closed book, multiple choice paper of 40 questions taken after completion of the course - exam vouchers are provided with this course. These will have a validity of 12 months. You will need to schedule your exams within this time frame. The pass mark is 65% (26 out of 40) Cost of the exam is included in the course fee [-]

ITIL® 4 Practitioner: Change Enablement [-]

Kubernetes Security Fundamentals (LFS460) [-]

Objectives This course teaches participants the following skills: Design and build data processing systems on Google Cloud Platform Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow Derive business insights from extremely large datasets using Google BigQuery Train, evaluate, and predict using machine learning models using Tensorflow and Cloud ML Leverage unstructured data using Spark and ML APIs on Cloud Dataproc Enable instant insights from streaming data   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 Data Engineering -Explore the role of a data engineer-Analyze data engineering challenges-Intro to BigQuery-Data Lakes and Data Warehouses-Demo: Federated Queries with BigQuery-Transactional Databases vs Data Warehouses-Website Demo: Finding PII in your dataset with DLP API-Partner effectively with other data teams-Manage data access and governance-Build production-ready pipelines-Review GCP customer case study-Lab: Analyzing Data with BigQuery Module 2: Building a Data Lake -Introduction to Data Lakes-Data Storage and ETL options on GCP-Building a Data Lake using Cloud Storage-Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions-Securing Cloud Storage-Storing All Sorts of Data Types-Video Demo: Running federated queries on Parquet and ORC files in BigQuery-Cloud SQL as a relational Data Lake-Lab: Loading Taxi Data into Cloud SQL Module 3: Building a Data Warehouse -The modern data warehouse-Intro to BigQuery-Demo: Query TB+ of data in seconds-Getting Started-Loading Data-Video Demo: Querying Cloud SQL from BigQuery-Lab: Loading Data into BigQuery-Exploring Schemas-Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA-Schema Design-Nested and Repeated Fields-Demo: Nested and repeated fields in BigQuery-Lab: Working with JSON and Array data in BigQuery-Optimizing with Partitioning and Clustering-Demo: Partitioned and Clustered Tables in BigQuery-Preview: Transforming Batch and Streaming Data Module 4: Introduction to Building Batch Data Pipelines -EL, ELT, ETL-Quality considerations-How to carry out operations in BigQuery-Demo: ELT to improve data quality in BigQuery-Shortcomings-ETL to solve data quality issues Module 5: Executing Spark on Cloud Dataproc -The Hadoop ecosystem-Running Hadoop on Cloud Dataproc-GCS instead of HDFS-Optimizing Dataproc-Lab: Running Apache Spark jobs on Cloud Dataproc Module 6: Serverless Data Processing with Cloud Dataflow -Cloud Dataflow-Why customers value Dataflow-Dataflow Pipelines-Lab: A Simple Dataflow Pipeline (Python/Java)-Lab: MapReduce in Dataflow (Python/Java)-Lab: Side Inputs (Python/Java)-Dataflow Templates-Dataflow SQL Module 7: Manage Data Pipelines with Cloud Data Fusion and Cloud Composer -Building Batch Data Pipelines visually with Cloud Data Fusion-Components-UI Overview-Building a Pipeline-Exploring Data using Wrangler-Lab: Building and executing a pipeline graph in Cloud Data Fusion-Orchestrating work between GCP services with Cloud Composer-Apache Airflow Environment-DAGs and Operators-Workflow Scheduling-Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, -Cloud Storage, and BigQuery-Monitoring and Logging-Lab: An Introduction to Cloud Composer Module 8: Introduction to Processing Streaming Data Processing Streaming Data Module 9: Serverless Messaging with Cloud Pub/Sub -Cloud Pub/Sub-Lab: Publish Streaming Data into Pub/Sub Module 10: Cloud Dataflow Streaming Features -Cloud Dataflow Streaming Features-Lab: Streaming Data Pipelines Module 11: High-Throughput BigQuery and Bigtable Streaming Features -BigQuery Streaming Features-Lab: Streaming Analytics and Dashboards-Cloud Bigtable-Lab: Streaming Data Pipelines into Bigtable Module 12: Advanced BigQuery Functionality and Performance -Analytic Window Functions-Using With Clauses-GIS Functions-Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz-Performance Considerations-Lab: Optimizing your BigQuery Queries for Performance-Optional Lab: Creating Date-Partitioned Tables in BigQuery Module 13: Introduction to Analytics and AI -What is AI?-From Ad-hoc Data Analysis to Data Driven Decisions-Options for ML models on GCP Module 14: Prebuilt ML model APIs for Unstructured Data -Unstructured Data is Hard-ML APIs for Enriching Data-Lab: Using the Natural Language API to Classify Unstructured Text Module 15: Big Data Analytics with Cloud AI Platform Notebooks -What’s a Notebook-BigQuery Magic and Ties to Pandas-Lab: BigQuery in Jupyter Labs on AI Platform Module 16: Production ML Pipelines with Kubeflow -Ways to do ML on GCP-Kubeflow-AI Hub-Lab: Running AI models on Kubeflow Module 17: Custom Model building with SQL in BigQuery ML -BigQuery ML for Quick Model Building-Demo: Train a model with BigQuery ML to predict NYC taxi fares-Supported Models-Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML-Lab Option 2: Movie Recommendations in BigQuery ML Module 18: Custom Model building with Cloud AutoML -Why Auto ML?-Auto ML Vision-Auto ML NLP-Auto ML Tables [-]

CCNA: Implementing and Administering Cisco Solutions [-]

Excel controllere/økonomer kurs vinklet fra en Controllers hverdag med fokus på gode metoder for å arbeide med Excel-lister. Påfyllet kurset gir deg, gjør deg i stand til å jobbe mer effektivt i Excel. Kursets mange eksempler, viser hva du virkelig kan få til i Excel, enten det er å jobbe med formler / funksjoner, lister eller store Excel-modeller. Kurset er utviklet av controllere, med det for øye at du skal kunne angripe dine Excel-utfordringer på en smart og effektiv måte. Kurset kan også spesialtilpasses og holdes bedriftsinternt i deres eller våre lokaler.   Kursinnhold:     Datautveksling/Klargjøring av data Mulige inndatametoder: Importering av tekstfil, webspørringer, innliming av data fra WWW. Importere data med ulikt dataformat: tekst - eller databaseformat Formatproblemer ifm. dataimport: ”feil” formater, fjerne deler av informasjon i en celle, fjerne duplikater, kjapt finne skrivefeil   Data/Konsolider Konsolider data: hvor data ligger i samme regneark Konsolidering data: hvor dataene skal behandles på tvers av regneark. Konsolidering data: hvor data ligger i ulike arbeidsbøker   Tabeller/Listefunksjonalitet Definisjonen av en tabell: Viktig å huske når tabellen skal behandles videre. Jobbe med en liste: få gode råd angående arbeid med lister Sortere tabellen: kjapt og enkelt med egendefinerte sorteringsnøkler Filter med Autofilter: filtrere ut bare de data du ønsker eller slette tomme rader. Filter med Avansert filter: få råd om i hvilke situasjoner det er smart å bruke avansert filter og hvordan du enklest bruker dette filteret. Beregninger i tabeller og lister Beregninger med flere variabler: Funksjonene Dsummer, Dantall og DGjennomsnitt Organiser og beregne data : Ved hjelp av delsammendrag. Lær hvordan resultatet kan kopieres til et annet sted. Oppslag i en liste: Funksjonene Finn.Kolonne og Finn.Rad Lag rapporter ved hjelp av Pivotteknikk: Opplev hvor enkelt det er å lage rapporter ved hjelp av pivotteknikk!   "Hva hvis"-analyser og optimalisering Sensitivitetsanalyse: Målsøking er en måte å regne ”baklengs” på. Sensitivitetsanalyse: Tabeller med 1 og 2 variabler Optimalisering: Ved hjelp av Problemløseren   Samarbeid med andre Deling av arbeidsbøker: ved ønske om å jobbe samtidig i samme arbeidsbok Sporing av endringer: når du ønsker å plukke opp de endringer andre har gjort     4 gode grunner til å velge KnowledgeGroup 1. Best practice kursinnhold 2. Markedets beste instruktører 3. Små kursgrupper 4. Kvalitets- og startgaranti   [-]

Vil du lære å lage visittkort, annonser, brosjyrer og plakater i InDesign? Enten du jobber i en markedsavdeling, grafisk bedrift, avis eller magasin, er dette det profesjonelle programmet du bruker til jobben.  Arbeider du med markedsføring og layout, vil du ha stor nytte av å kunne sette sammen tekst og bilder selv. Du slipper å sette ut arbeidet,  får større kontroll på layouten og mer ut av markedsbudsjettet. Du velger dette kurset for å lære alt du trenger for å komme igang med programmet InDesign. Hvem passer kurset for? Kurset passer for deg som har liten eller ingen erfaring med å jobbe i InDesign. InDesign er bransjestandarden for å lage annonser, brosjyrer, magasiner, plakater, DM, rapporter og bøker. Uansett hva du skal bruke programme til, så passer dette kurset for deg! Dette lærer du: Bli kjent med menyer og verktøy Effektiv jobbing med tekst- og sidemaler Grunnleggende typografi Importere og tilpasse bilder og tekst Plassere bilder med tekst rundt Lage egne farger Bruk av effekter Kontroll av dokumenter og eksport til pdf https://igm.no/indesign-grunnkurs/ [-]

Leading SAFe® [-]

Excelfunksjoner - elæringskurs [-]

COURSE OVERVIEW A CCSP applies information security expertise to a cloud computing environment and demonstrates competence in cloud security architecture, design, operations, and service orchestration. This professional competence is measured against a globally recognized body of knowledge. The CCSP is a standalone credential that complements and builds upon existing credentials and educational programs, including (ISC)²’s Certified Information Systems Security Professional (CISSP) and CSA’s Certificate of Cloud Security Knowledge (CCSK). As an (ISC)2 Official Training Provider, we use courseware developed by (ISC)² –creator of the CCSP CBK –to ensure your training is relevant and up-to-date. Our instructors are verified security experts who hold the CCSP and have completed intensive training to teach (ISC)² content. Please Note: An exam voucher is included with this course   TARGET AUDIENCE Experienced cybersecurity and IT/ICT professionals who are involved in transitioning to and maintaining cloud-basedsolutions and services. Roles include:• Cloud Architect• Chief Information Security Officer (CISO)• Chief Information Officer (CIO)• Chief Technology Officer (CTO)• Engineer/Developer/Manager• DevOps• Enterprise Architect• IT Contract Negotiator• IT Risk and Compliance Manager• Security Administrator• Security Analyst• Security Architect• Security Consultant• Security Engineer• Security Manager• Systems Architect• Systems Engineer• SecOps   COURSE OBJECTIVES After completing this course you should be able to:   Describe the physical and virtual components of and identify the principle technologies of cloud based systems Define the roles and responsibilities of customers, providers, partners, brokers and the various technical professionals that support cloud computing environments Identify and explain the five characteristics required to satisfy the NIST definition of cloud computing Differentiate between various as a Service delivery models and frameworks that are incorporated into the cloud computing reference architecture Discuss strategies for safeguarding data, classifying data, ensuring privacy, assuring compliance with regulatory agencies and working with authorities during legal investigations Contrast between forensic analysis in corporate data center and cloud computing environments Evaluate and implement the security controls necessary to ensure confidentiality, integrity and availability in cloud computing Identify and explain the six phases of the data lifecycle Explain strategies for protecting data at rest and data in motion Describe the role of encryption in protecting data and specific strategies for key management Compare a variety of cloud-based business continuity / disaster recovery strategies and select an appropriate solution to specific business requirements Contrast security aspects of Software Development Lifecycle (SDLC) in standard data center and cloud computing environments Describe how federated identity and access management solutions mitigate risks in cloud computing systems Conduct gap analysis between baseline and industry-standard best practices Develop Service Level Agreements (SLAs) for cloud computing environments Conduct risk assessments of existing and proposed cloud-based environments State the professional and ethical standards of (ISC)² and the Certified Cloud Security Professional COURSE CONTENT   Domain 1. Cloud Concepts, Architecture and Design Domain 2. Cloud Data Security Domain 3. Cloud Platform & Infrastructure Security Domain 4. Cloud Application Security Domain 5. Cloud Security Operations Domain 6. Legal, Risk and Compliance TEST CERTIFICATION Recommended as preparation for the following exam: (ISC)² - Certified Cloud Security Professional  Gaining this accreditation is not just about passing the exam, there are a number of other criterias that need to be met including 5  years of cumulative, paid work experience in  information technology, of which 3 years must be in information security and 1 year in 1 or more of the 6 domains of the CCSP CBK. Earning CSA’s CCSK certificate can be substituted for 1 year of experience in 1 or more of the 6 domains of the CCSP CBK. Earning (ISC)²’s CISSP credential can be substituted for the entire CCSP experience requirement. Full details can be found at https://www.isc2.org/Certifications/CCSP Those without the required experience can take the exam to become an Associate of (ISC)²  . The Associate of (ISC)² will then have 6 years to earn the 5 years required experience.   [-]

Modern Web Development: HTML, CSS, asynchronous JavaScript and PWA [-]

IP1: Generell nettverksteknologi [-]