Oversikt over relevante kurs innen Kurs i programvare og applikasjoner i Hjärnarp

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

Her starter vi ganske på begynnelsen, og går ut fra at deltagerne har liten eller ingen erfaring med Excel. Vi starter med de grunnleggende prinsippene, og bygger så videre på dem. I stikkordsform ser innholdet ut slik: Regnearkets oppbygning – grunnprinsipper Tall og tekst – identifisere og korrigere/konvertere Listefunksjonalitet – sortere, filtrere, redigere, skrive ut, etc. Grunnleggende formelbygging – de fire regneartene Kopiering av formler – absolutte og relative referanser Sentrale funksjoner: SUMMER, GJENNOMSNITT, HVIS,   HVISFEIL Modellbyggingsteknikker - sammendrag av data over flere ark Grafiske fremstillinger av numeriske data Identifisere og fjerne duplikatverdier fra en liste Arbeide med tid (dager, klokkeslett, etc.) i Excel [-]

COURSE OVERVIEW  Through a combination of lecture and hands-on labs, you will learn how to install, operate, configure, and verify a basic IPv4 and IPv6 network. The course covers configuring network components such as switches, routers, and Wireless LAN Controllers; managing network devices; and identifying basic security threats. Network programmability, automation, and software-defined networking are also covered at a foundational level.   This course helps you prepare to take the 200-301 Cisco Certified Network Associate (CCNA) exam.   Please note that this course is a combination of Instructor-Led and Self-Paced Study - 5 days in the classroom and approx 3 days of self study. The self-study content will be provided as part of the digital courseware that you recieve at the beginning of the course and should be part of your preparation for the exam. Lab access is provided for both the class and the self- study sections, lab access is valid for 60 hours or 90 days whichever is the shorter, so please ensure you exit the lab exercises when not in use. TARGET AUDIENCE Anyone looking to start a career in networking or wishing to achieve the Cisco CCNA Certification. COURSE OBJECTIVES After completing this course you should be able to: Identify the components of a computer network and describe their basic characteristics Understand the model of host-to-host communication Describe the features and functions of the Cisco IOS Software Describe LANs and the role of switches within LANs Describe Ethernet as the network access layer of TCP/IP and describe the operation of switches Install a switch and perform the initial configuration Describe the TCP/IP internet Layer, IPv4, its addressing scheme, and subnetting Describe the TCP/IP Transport layer and Application layer Explore functions of routing Implement basic configuration on a Cisco router Explain host-to-host communications across switches and routers Identify and resolve common switched network issues and common problems associated with IPv4 addressing Describe IPv6 main features, addresses and configure and verify basic IPv6 connectivity Describe the operation, benefits, and limitations of static routing Describe, implement and verify VLANs and trunks Describe the application and configuration of inter-VLAN routing Explain the basics of dynamic routing protocols and describe components and terms of OSPF Explain how STP and RSTP work Configure link aggregation using EtherChannel Describe the purpose of Layer 3 redundancy protocols Describe basic WAN and VPN concepts Describe the operation of ACLs and their applications in the network Configure internet access using DHCP clients and explain and configure NAT on Cisco routers Describe the basic QoS concepts Describe the concepts of wireless networks, which types of wireless networks can be built and how to use WLC Describe network and device architectures and introduce virtualization Introduce the concept of network programmability and SDN and describe the smart network management solutions like Cisco DNA Center, SD-Access and SD-WAN Configure basic IOS system monitoring tools Describe the management of Cisco devices Describe the current security threat landscape Describe threat defense technologies Implement a basic security configuration of the device management plane Implement basic steps to harden network devices COURSE CONTENT Exploring the Functions of Networking Introducing the Host-To-Host Communications Model Operating Cisco IOS Software Introducing LANs Exploring the TCP/IP Link Layer Starting a Switch Introducing the TCP/IP Internet Layer, IPv4 Addressing, and Subnets Explaining the TCP/IP Transport Layer and Application Layer Exploring the Functions of Routing Configuring a Cisco Router Exploring the Packet Delivery Process Troubleshooting a Simple Network Introducing Basic IPv6 Configuring Static Routing Implementing VLANs and Trunks Routing Between VLANs Introducing OSPF Building Redundant Switched Topologies (Self-Study) Improving Redundant Switched Topologies with EtherChannel Exploring Layer 3 Redundancy (Self-Study) Introducing WAN Technologies (Self-Study) Explaining Basics of ACL Enabling Internet Connectivity Introducing QoS (Self-Study) Explaining Wireless Fundamentals (Self-Study) Introducing Architectures and Virtualization (Self-Study) Explaining the Evolution of Intelligent Networks Introducing System Monitoring Managing Cisco Devices Examining the Security Threat Landscape (Self-Study) Implementing Threat Defense Technologies (Self-Study) Securing Administrative Access Implementing Device Hardening Labs: Get Started with Cisco CLI Observe How a Switch Operates Perform Basic Switch Configuration Inspect TCP/IP Applications Configure an Interface on a Cisco Router Configure and Verify Layer 2 Discovery Protocols Configure Default Gateway Explore Packet Forwarding Troubleshoot Switch Media and Port Issues Troubleshoot Port Duplex Issues Configure Basic IPv6 Connectivity Configure and Verify IPv4 Static Routes Configure IPv6 Static Routes Configure VLAN and Trunk Configure a Router on a Stick Configure and Verify Single-Area OSPF Configure and Verify EtherChannel Configure and Verify IPv4 ACLs Configure a Provider-Assigned IPv4 Address Configure Static NAT Configure Dynamic NAT and PAT Log into the WLC Monitor the WLC Configure a Dynamic (VLAN) Interface Configure a DHCP Scope Configure a WLAN Define a RADIUS Server Explore Management Options Explore the Cisco DNA Center Configure and Verify NTP Create the Cisco IOS Image Backup Upgrade Cisco IOS Image Configure WLAN Using WPA2 PSK Using the GUI Secure Console and Remote Access Enable and Limit Remote Access Connectivity Secure Device Administrative Access Configure and Verify Port Security Implement Device Hardening TEST CERTIFICATION Recommended as preparation for the following exams:  200-301 -  Cisco Certified Network Associate Exam (CCNA) [-]

Kursinnhold Navn og navnebehandling Få kontroll på dato- og tidsberegning Enkle statistiske og matematiske funksjoner Vi ser på *.HVIS.SETT familien av funksjoner (SUMMER.HVIS.SETT etc.) Oppslagsfunksjoner (FINN.RAD, XOPPSLAG etc.) Tekstfunksjoner   Det er fordelaktig å ha to skjermer - en til å følge kurset og en til å gjøre det kursholder demonstrerer. Kurset gjennomføres i sanntid med nettundervisning via Teams. Det blir mulighet for å stille spørsmål, ha diskusjoner, demonstrasjoner og øvelser. Du vil motta en invitasjon til Teams fra kursholder.   [-]

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 [-]

På dette online-kurset vil du lære: Publisering, redigering, kommentering og markering Sikkerhet, digitale stempler og digital signatur Opprette og lagre symboler og tilpassede markeringsverktøy i Tool Chest Skybasert samarbeid og deling av dokumenter i Bluebeam Studio eXtreme-funksjoner (OCR – Tekstfjerning - Skjema-opprettelse - Batch Link) Noen eXtreme-funksjoner blir vist/nevnt i kurset [-]

Advanced Architecting on AWS [-]

Architecting with Google Cloud Platform: Design and Process [-]

Oppdag kraften i Microsoft Excel med "Excel: Grunnleggende", et detaljert kurs ledet av Espen Faugstad hos Utdannet.no. Microsoft Excel er et essensielt verktøy for dataanalyse og regnearkbehandling, brukt i en rekke yrker og bransjer. Dette kurset er skreddersydd for å gi deg en solid forståelse av Excel, gjør deg i stand til å bruke programmet effektivt og med selvtillit. Kurset starter med de grunnleggende aspektene av Excel, inkludert navigering i brukergrensesnittet, bruk av hurtigtilgang, båndet, formellinjen og statuslinjen. Du vil lære å legge til og håndtere data, bruke formler og funksjoner for ulike beregninger som summering, gjennomsnitt, maksimum, minimum og mer. I tillegg vil du utforske hvordan du formaterer celler og bruker diagrammer for å presentere data på en visuell og tiltalende måte. Kurset dekker også hvordan du effektivt kan arbeide med arbeidsark og eksportere data. Ved kursets slutt vil du ha en grundig forståelse av Excel og være i stand til å bruke dets mange funksjoner for å utføre en rekke oppgaver, fra enkle beregninger til kompleks dataanalyse.   Innhold: Kapittel 1: Brukergrensesnitt Kapittel 2: Legg til data Kapittel 3: Formler og funksjoner Kapittel 4: Formatere Kapittel 5: Diagrammer Kapittel 6: Arbeidsark Kapittel 7: Eksportere Kapittel 8: Avslutning   Varighet: 2 timer og 15 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. [-]

Oracle Database: Analytic SQL for Data Warehousing [-]

Excel Grunnkurs [-]

CCNA: Implementing and Administering Cisco Solutions [-]

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 [-]

MoP® Practitioner [-]

. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.   TARGET AUDIENCE Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.   COURSE CONTENT Module 1: Creating Azure App Service Web Apps Students will learn how to build a web application on the Azure App Service platform. They will learn how the platform functions and how to create, configure, scale, secure, and deploy to the App Service platform. Azure App Service core concepts Creating an Azure App Service Web App Configuring and Monitoring App Service apps Scaling App Service apps Azure App Service staging environments Module 2: Implement Azure functions This module covers creating Functions apps, and how to integrate triggers and inputs/outputs in to the app. Azure Functions overview Developing Azure Functions Implement Durable Functions Module 3: Develop solutions that use blob storage Students will learn how Azure Blob storage works, how to manage data through the hot/cold/archive blob storage lifecycle, and how to use the Azure Blob storage client library to manage data and metadata. Azure Blob storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Module 4: Develop solutions that use Cosmos DB storage Students will learn how Cosmos DB is structured and how data consistency is managed. Students will also learn how to create Cosmos DB accounts and create databases, containers, and items by using a mix of the Azure Portal and the .NET SDK. Azure Cosmos DB overview Azure Cosmos DB data structure Working with Azure Cosmos DB resources and data Module 5: Implement IaaS solutions This module instructs students on how to use create VMs and container images to use in their solutions. It covers creating VMs, using ARM templates to automate resource deployment, create and manage Docker images, publishing an image to the Azure Container Registry, and running a container in Azure Container Instances. Provisioning VMs in Azure Create and deploy ARM templates Create container images for solutions Publish a container image to Azure Container Registry Create and run container images in Azure Container Instances Module 6: Implement user authentication and authorization Students will learn how to leverage the Microsoft Identity Platform v2.0 to manage authentication and access to resources. Students will also learn how to use the Microsoft Authentication Library and Microsoft Graph to authenticate a user and retrieve information stored in Azure, and how and when to use Shared Access Signatures. Microsoft Identity Platform v2.0 Authentication using the Microsoft Authentication Library Using Microsoft Graph Authorizing data operations in Azure Storage Module 7: Implement secure cloud solutions This module covers how to secure the information (keys, secrets, certificates) an application uses to access resources. It also covers securing application configuration information. Manage keys, secrets, and certificates by using the KeyVault API Implement Managed Identities for Azure resources Secure app configuration data by using Azure App Configuration Module 8: Implement API Management Students will learn how to publish APIs, create policies to manage information shared through the API, and to manage access to their APIs by using the Azure API Management service. API Management overview Defining policies for APIs Securing your APIs Module 9: Develop App Service Logic Apps This module teaches students how to use Azure Logic Apps to schedule, automate, and orchestrate tasks, business processes, workflows, and services across enterprises or organizations. Azure Logic Apps overview Creating custom connectors for Logic Apps Module 10: Develop event-based solutions Students will learn how to build applications with event-based architectures. Implement solutions that use Azure Event Grid Implement solutions that use Azure Event Hubs Implement solutions that use Azure Notification Hubs Module 11: Develop message-based solutions Students will learn how to build applications with message-based architectures. Implement solutions that use Azure Service Bus Implement solutions that use Azure Queue Storage queues Module 12: Monitor and optimize Azure solutions This module teaches students how to instrument their code for telemetry and how to analyze and troubleshoot their apps. Overview of monitoring in Azure Instrument an app for monitoring Analyzing and troubleshooting apps Implement code that handles transient faults Module 13: Integrate caching and content delivery within solutions Students will learn how to use different caching services to improve the performance of their apps. Develop for Azure Cache for Redis Develop for storage on CDNs [-]