Oversikt over relevante kurs innen IT-kurs i Måsøy

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 [-]

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 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. [-]

AZ-305: Microsoft Azure Architect Design [-]

CCSP: Certified Cloud Security Professional [-]

Microsoft 365 Enterprise Administrator Expert (MCE) - Boot Camp [-]

C# 12 Development and .NET 8 [-]

This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.   TARGET AUDIENCE This course is for Azure Administrators. The Azure Administrator implements, manages, and monitors identity, governance, storage, compute, and virtual networks in a cloud environment. The Azure Administrator will provision, size, monitor, and adjust resources as appropriate. COURSE OBJECTIVES After completing this course you should be able to: Secure and manage identities with Azure Active Directory. Implement and manage users and groups. Implement and manage Azure subscriptions and accounts. Implement Azure Policy, including custom policies. Use RBAC to assign permissions. Leverage Azure Resource Manager to organize resources. Use the Azure Portal and Cloud Shell. Use Azure PowerShell and CLI. Use ARM Templates to deploy resources. Implement virtual networks and subnets. Configure public and private IP addressing. Configure network security groups. Configure Azure Firewall. Configure private and public DNS zones Configure VNet Peering. Configure VPN gateways. Choose the appropriate intersite connectivity solution. Configure network routing including custom routes and service endpoints. Configure an Azure Load Balancer. Configure and Azure Application Gateway. Choose the appropriate network traffic solution. Create Azure storage accounts. Configure blob containers. Secure Azure storage. Configure Azure files shares and file sync. Manage storage with tools such as Storage Explorer Plan for virtual machine implementations. Create virtual machines. Configure virtual machine availability, including scale sets. Use virtual machine extensions. Create an app service plan. Create a web app. Implement Azure Container Instances. Implement Azure Kubernetes Service. Backup and restore file and folders. Backup and restore virtual machines. Use Azure Monitor. Create Azure alerts. Query using Log Analytics. Use Network Watcher.   COURSE CONTENT   Module 1: Identity Azure Active Directory Users and Groups Lab : Manage Azure Active Directory Identities Module 2: Governance and Compliance Subscriptions and Accounts Azure Policy Role-based Access Control (RBAC) Lab : Manage Subscriptions and RBAC Lab : Manage Governance via Azure Policy Module 3: Azure Administration Azure Resource Manager Azure Portal and Cloud Shell Azure PowerShell and CLI ARM Templates Lab : Manage Azure resources by Using the Azure Portal Lab : Manage Azure resources by Using ARM Templates Lab : Manage Azure resources by Using Azure PowerShell Lab : Manage Azure resources by Using Azure CLI Module 4: Virtual Networking Virtual Networks IP Addressing Network Security groups Azure Firewall Azure DNS Lab : Implement Virtual Networking Module 5: Intersite Connectivity VNet Peering VPN Gateway Connections ExpressRoute and Virtual WAN Lab : Implement Intersite Connectivity Module 6: Network Traffic Management Network Routing and Endpoints Azure Load Balancer Azure Application Gateway Traffic Manager Lab : Implement Traffic Management Module 7: Azure Storage Storage Accounts Blob Storage Storage Security Azure Files and File Sync Managing Storage Lab : Manage Azure storage Module 8: Azure Virtual Machines Virtual Machine Planning Creating Virtual Machines Virtual Machine Availability Virtual Machine Extensions Lab : Manage virtual machines Module 9: Serverless Computing Azure App Service Plans Azure App Service Container Services Azure Kubernetes Service Lab : Implement Web Apps Lab : Implement Azure Container Instances Lab : Implement Azure Kubernetes Service Module 10: Data Protection File and Folder Backups Virtual Machine Backups Lab : Implement Data Protection Module 11: Monitoring Azure Monitor Azure Alerts Log Analytics Network Watcher Lab : Implement Monitoring     [-]

MB-210: Microsoft Dynamics 365 for Sales [-]

Power BI Desktop [-]

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 [-]

Lean IT Foundation [-]

  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.   Navisworks grunnkurs   Her er et utvalg av temaene du vil lære på kurset: forstå hvordan tverrfaglige modeller settes sammen analysere modellen gjennom visualisering og navigering håndtering av objekter sette inn målsetting legg inn snitt finne informasjon på objektene Navisworks håndterer et stort antall filformater og det er viktig å forstå hvordan tverrfaglige modeller settes sammen slik at dette muligjør analyse av modellen gjennom visualisering, navigering, håndtering av objekter, sette inn målsetting, legge inn snitt og finne informasjon på objektene.   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 [-]

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 [-]