Oversikt over relevante kurs innen IT-kurs i Fornebu

Course goals: After completing this course, students will be able to: Provision a Database Server Upgrade SQL Server Configure SQL Server Manage Databases and Files (shared) Provision, migrate and manage databases in the cloud Read complete course description:https://www.microsoft.com/en-us/learning/course.aspx?cid=20765 [-]

The course focuses on teaching individuals how to use SQL Server 2016 product features and tools related to developing a database. After completing this course, students will be able to: Design and Implement Tables. Describe advanced table designs Ensure Data Integrity through Constraints. Describe indexes, including Optimized and Columnstore indexes Design and Implement Views. Design and Implement Stored Procedures. Design and Implement User Defined Functions. Respond to data manipulation using triggers. Design and Implement In-Memory Tables. Implement Managed Code in SQL Server. Store and Query XML Data. Work with Spatial Data. Store and Query Blobs and Text Documents. Module 1: Introduction to Database Development Before beginning to work with Microsoft SQL Server in either a development or an administration role, it is important to understand the scope of the SQL Server platform. In particular, it is useful to understand that SQL Server is not just a database engine—it is a complete platform for managing enterprise data. SQL Server provides a strong data platform for all sizes of organizations, in addition to a comprehensive set of tools to make development easier, and more robust. Lessons Introduction to the SQL Server Platform SQL Server Database Development Tasks Lab : SQL Server Database Development Tasks After completing this module, you will be able to: Describe the SQL Server platform. Use SQL Server administration tools. Module 2: Designing and Implementing Tables In a relational database management system (RDBMS), user and system data is stored in tables. Each table consists of a set of rows that describe entities and a set of columns that hold the attributes of an entity. For example, a Customer table might have columns such as CustomerName and CreditLimit, and a row for each customer. In Microsoft SQL Server data management software tables are contained within schemas that are very similar in concept to folders that contain files in the operating system. Designing tables is one of the most important tasks that a database developer undertakes, because incorrect table design leads to the inability to query the data efficiently. After an appropriate design has been created, it is important to know how to correctly implement the design. Lessons Designing Tables Data Types Working with Schemas Creating and Altering Tables Lab : Designing and Implementing Tables After completing this module, you will be able to: Design Tables Describe the various types of data Be able to work with schemas Be able to create and amend tables Module 3: Advanced Table Designs The physical design of a database can have a significant impact on the ability of the database to meet the storage and performance requirements set out by the stakeholders. Designing a physical database implementation includes planning the filegroups, how to use partitioning to manage large tables, and using compression to improve storage and performance. Temporal tables are a new feature in SQL Server 2016 and offer a straightforward solution to collecting changes to your data. Lessons Partitioning data Compressing Data Temporal Tables Lab : Using Advanced Table Designs After completing this module, you will be able to: Describe how data can be partitioned Describe how data can be compressed. Describe Temporal tables Module 4: Ensuring Data Integrity through Constraints The quality of data in your database largely determines the usefulness and effectiveness of applications that rely on it—the success or failure of an organization or a business venture could depend on it. Ensuring data integrity is a critical step in maintaining high-quality data. You should enforce data integrity at all levels of an application from first entry or collection through storage. Microsoft SQL Server data management software provides a range of features to simplify the job. Lessons Enforcing data Integrity Implementing Domain Integrity Implementing Entity and Referential Integrity Lab : Ensuring Data Integrity through Constraints After completing this module, you will be able to: Describe how to enforce data integrity Describe how to implement domain integrity Describe how to implement entity and referential integrity Module 5: Introduction to Indexes An index is a collection of pages associated with a table. Indexes are used to improve the performance of queries or enforce uniqueness. Before learning to implement indexes, it is helpful to understand how they work, how effective different data types are when used within indexes, and how indexes can be constructed from multiple columns. This module discusses table structures that do not have indexes, and the different index types available in Microsoft SQL Server. Lessons Core Indexing Concepts Data Types and Indexes Single Column and Composite Indexes Lab : Implementing Indexes After completing this module, you will be able to: Explain the need for indexes and describe the core concepts of index design Choose appropriate data types for indexes Design single column and composite indexes Module 6: Designing Optimized Index Strategies Indexes play an important role in enabling SQL Server to retrieve data from a database quickly and efficiently. This module discusses advanced index topics including covering indexes, the INCLUDE clause, query hints, padding and fill factor, statistics, using DMOs, the Database Tuning Advisor, and Query Store. Lessons Covering Indexes Managing Indexes Execution Plans Using the DTE Lab : Designing Optimized Index Strategies After completing this module, you will be able to: Choose an appropriate table structure Implement clustered indexes and heaps Module 7: Columnstore Indexes Introduced in Microsoft SQL Server 2012, columnstore indexes are used in large data warehouse solutions by many organizations. This module highlights the benefits of using these indexes on large datasets; the improvements made to columnstore indexes in SQL Server 2016; and the considerations needed to use columnstore indexes effectively in your solutions. Lessons Introduction to Columnstore indexes Creating Columnstore indexes Working Columnstore indexes Lab : Using Columnstore indexes After completing this module, you will be able to: Describe suitable scenarios for Columnstore indexes Create clustered and non-clustered Columnstore indexes Describe considerations for updating non-clustered Columnstore indexed tables Module 8: Designing and Implementing Views This module describes the design and implementation of views. A view is a special type of query—one that is stored and can be used in other queries—just like a table. With a view, only the query definition is stored on disk; not the result set. The only exception to this is indexed views, when the result set is also stored on disk, just like a table. Views simplify the design of a database by providing a layer of abstraction, and hiding the complexity of table joins. Views are also a way of securing your data by giving users permissions to use a view, without giving them permissions to the underlying objects. This means data can be kept private, and can only be viewed by appropriate users. Lessons Introduction to views Creating and managing views Performance considerations for views Lab : Designing and Implementing Views After completing this module, you will be able to: Explain the concept of views Design, Create and Alter Views Create Partitioned Views Module 9: Designing and Implementing Stored Procedures This module describes the design and implementation of stored procedures. Lessons Introduction to Stored Procedures Working with Stored Procedures Implementing Parameterized Stored Procedures Controlling Execution Context Lab : Designing and Implementing Stored Procedures After completing this module, you will be able to: Design, Create and Alter Stored Procedures Control the Execution Context of Stored Procedures Implement Stored Procedures that use Parameters Module 10: Designing and Implementing User-Defined Functions Functions are routines that you use to encapsulate frequently performed logic. Rather than having to repeat the function logic in many places, code can call the function. This makes code more maintainable, and easier to debug. In this module, you will learn to design and implement user-defined functions (UDFs) that enforce business rules or data consistency. You will also learn how to modify and maintain existing functions. Lessons Overview of Functions Designing and Implementing Scalar Functions Designing and Implementing Table-Valued Functions Implementation Considerations for Functions Alternatives to Functions Lab : Designing and Implementing User-defined Functions After completing this module, you will be able to: Design, create and alter scalar functions Design, create and alter table-valued functions Describe the performance impacts of functions Module 11: Responding to Data Manipulation via Triggers Data Manipulation Language (DML) triggers are powerful tools that you can use to enforce domain, entity, referential data integrity and business logic. The enforcement of integrity helps you to build reliable applications. In this module, you will learn what DML triggers are, how they enforce data integrity, the different types of trigger that are available to you, and how to define them in your database. Lessons Designing DML Triggers Implementing DML Triggers Advanced Trigger Concepts Lab : Responding to Data Manipulation via Triggers After completing this module, you will be able to: Design DML triggers Implement DML triggers Work with Nested and Recursive Triggers Module 12: Using In-Memory Tables Microsoft SQL Server 2014 data management software introduced in-memory online transaction processing (OLTP) functionality features to improve the performance of OLTP workloads. SQL Server 2016 adds several enhancements, such as the ability to alter a memory-optimized table without recreating it. Memory-optimized tables are primarily stored in memory, which provides the improved performance by reducing hard disk access. Natively compiled stored procedures further improve performance over traditional interpreted Transact-SQL. Lessons Memory-Optimized Tables Natively Compiled Stored Procedures Lab : In Memory OLTP After completing this module, you will be able to: Implement in-memory tables Implement native stored procedures Module 13: Implementing Managed Code in SQL Server As a SQL Server professional, you are likely to be asked to create databases that meet business needs. Most requirements can be met using Transact-SQL. However, occasionally you may need additional capabilities that can only be met by using common language runtime (CLR) code. As functionality is added to SQL Server with each new release, the necessity to use managed code decreases. However, there are times when you might need to create aggregates, stored procedures, triggers, user-defined functions, or user-defined types. You can use any .NET Framework language to develop these objects. In this module, you will learn how to use CLR managed code to create user-defined database objects for SQL Server. Lessons Introduction to CLR Integration in SQL Server Implementing and Publishing CLR Assemblies Lab : Implementing Managed Code in SQL Server After completing this module, you will be able to: Describe SQL CLR Integration Implement and publish CLR assemblies using SQL Server Data Tools (SSDT). Module 14: Storing and Querying XML Data in SQL Server XML provides rules for encoding documents in a machine-readable form. It has become a widely adopted standard for representing data structures, rather than sending unstructured documents. Servers that are running Microsoft SQL Server data management software often need to use XML to interchange data with other systems; many SQL Server tools provide an XML-based interface. SQL Server offers extensive handling of XML, both for storage and querying. This module introduces XML, shows how to store XML data within SQL Server, and shows how to query the XML data. The ability to query XML data directly avoids the need to extract data into a relational format before executing Structured Query Language (SQL) queries. To effectively process XML, you need to be able to query XML data in several ways: returning existing relational data as XML, and querying data that is already XML. Lessons Introduction to XML and XML Schemas Storing XML Data and Schemas in SQL Server Implementing the XML Data Type Using the T-SQL FOR XML Statement Getting Started with xQuery Shredding XML Lab : Storing and Querying XML Data in SQL Server After completing this module, you will be able to: Explain the purpose and structure of XML and XML schemas Describe how XML data and schemas can be stored in SQL Server Implement the XML data type Module 15: Working with SQL Server Spatial Data This module describes spatial data and how this data can be implemented within SQL Server. Lessons Introduction to Spatial Data Working with SQL Server Spatial Data Types Using Spatial Data in Applications Lab : Working with SQL Server Spatial Data After completing this module, you will be able to: Describe how spatial data can be stored in SQL Server Use basic methods of the GEOMETRY and GEOGRAPHY data types Query databases containing spatial data Module 16: Storing and Querying Blobs and Text Documents in SQL Server Traditionally, databases have been used to store information in the form of simple values—such as integers, dates, and strings—that contrast with more complex data formats, such as documents, spreadsheets, image files, and video files. As the systems that databases support have become more complex, administrators have found it necessary to integrate this more complex file data with the structured data in database tables. For example, in a product database, it can be helpful to associate a product record with the service manual or instructional videos for that product. SQL Server provides several ways to integrate these files—that are often known as Binary Large Objects (BLOBs)—and enable their content to be indexed and included in search results. In this module, you will learn how to design and optimize a database that includes BLOBs. Lessons Considerations for BLOB Data Working with FileStream Using Full-Text Search Lab : Storing and Querying Blobs and Text Documents in SQL Server After completing this module, you will be able to: Describe the need for full-text indexing in SQL Server Implement a full-text index Perform basic full-text queries Module 17: SQL Server Concurrency This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. Concurrency control is a critical feature of multiuser database systems; it allows data to remain consistent when many users are modifying data at the same time. This module covers the implementation of concurrency in Microsoft SQL Server. You will learn about how SQL Server implements concurrency controls, and the different ways you can configure and work with concurrency settings. Lessons Concurrency and Transactions Locking Internals Module 18: Performance and Monitoring This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. This module looks at how to measure and monitor the performance of your SQL Server databases. The first two lessons look at SQL Server Extended Events, a flexible, lightweight event-handling system built into the Microsoft SQL Server Database Engine. These lessons focus on the architectural concepts, troubleshooting strategies and usage scenarios. Lessons Extended Events Working with extended Events Live Query Statistics Optimize Database File Configuration Metrics Read the official course description here  [-]

This course is intended for people in the fields of public cloud security and cybersecurity, or for anyone who wants to learn how to secure remote networks and mobile users. Successful completion of this two-day, instructor-led course will help enhance your understanding of how to better protect your applications, remote networks, and mobile users using a SASE implementation. You will get detailed instruction on configuring, managing, and troubleshooting Prisma Access in a production environment.   Target Audience Security Engineers, Security Administrators, Security Operations Specialists, Security Analysts, and Network Engineers    Course Modules 1 - Prisma Access Overview 2 - Planning and Design 3 - Activate and Configure 4 - Security Processing Nodes 5 - Panorama Operations for Prisma Access 6 - Remote Networks 7 - Mobile Users 8 - Tune, Monitor, and Troubleshoot 9 - Manage Multiple Tenants 10 - Next Steps [-]

Dette kurset fortsetter der hvor SharePoint for redaktører, del 1 – sluttet. Du vil lære å bruke flere av verktøyene i SharePoint Online/2016, for å lage gode og effektive løsninger for brukerne. Lær mer om hvordan SharePoint kan styrke forretningsdriften gjennom effektiv automatiserte og intelligente funksjoner Etter endt kurs vil du forstå hvordan dette kan effektivisere IT bruken i din bedrift og spare dine medarbeidere for timer hver dag.   Innhold: I løpet av disse to dagene lærer du å tilpasse SharePoint ved å: Bruke SharePoint Designer for rask tilpasning av områder, lister og bibliotek. Lage tilpassete arbeidsflater der ulike brukere får tilgang til informasjon som er relevant for dem. Vi går gjennom viktige innstillinger og tilpasninger av SharePoint på admin-nivå i Office 365. Du får hjelp til å tilpasse grunnleggende innstillinger, sette opp smarte løsninger for søk og bruk av metadata i dokumenter og lister. Du får hjelp til å komme i gang med PowerShell for raskt å opprette og/eller tilpasse områder og innhold. Sette opp gode løsninger for søk og bruk av metadata. Gi deg grunnleggende forståelse i hvordan du kan bruke SharePoint Designer for å lage effektiv arbeidsflyt i SharePoint. Bruke de nyeste automatiseringsfunksjonene i Microsoft Flow Lage enkle apper av SharePont-lister med hjelp av Microsoft PowerApps. [-]

This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS. After completing this course, students will be able to: Describe the components, architecture, and nature of a BI solution Create a multidimensional database with analysis services Implement dimensions in a cube Implement measures and measure groups in a cube Use MDX syntax Customize a cube Implement a tabular database Use DAX to query a tabular model Use data mining for predictive analysis Module 1: Introduction to Business Intelligence and Data Modeling This module introduces key BI concepts and the Microsoft BI product suite. Lessons Introduction to Business Intelligence The Microsoft business intelligence platform Lab : Exploring a Data Warehouse After completing this module, you will be able to: Describe the concept of business intelligence Describe the Microsoft business intelligence platform Module 2: Creating Multidimensional Databases This module describes the steps required to create a multidimensional database with analysis services. Lessons Introduction to multidimensional analysis Creating data sources and data source views Creating a cube Overview of cube security Lab : Creating a multidimensional database After completing this module, you will be able to: Use multidimensional analysis Create data sources and data source views Create a cube Describe cube security Module 3: Working with Cubes and Dimensions This module describes how to implement dimensions in a cube. Lessons Configuring dimensions Define attribute hierarchies Sorting and grouping attributes Lab : Working with Cubes and Dimensions After completing this module, you will be able to: Configure dimensions Define attribute hierarchies. Sort and group attributes Module 4: Working with Measures and Measure Groups This module describes how to implement measures and measure groups in a cube. Lessons Working with measures Working with measure groups Lab : Configuring Measures and Measure Groups After completing this module, you will be able to: Work with measures Work with measure groups Module 5: Introduction to MDX This module describes the MDX syntax and how to use MDX. Lessons MDX fundamentals Adding calculations to a cube Using MDX to query a cube Lab : Using MDX After completing this module, you will be able to: Describe the fundamentals of MDX Add calculations to a cube Query a cube using MDX Module 6: Customizing Cube Functionality This module describes how to customize a cube. Lessons Implementing key performance indicators Implementing actions Implementing perspectives Implementing translations Lab : Customizing a Cube After completing this module, you will be able to: Implement key performance indicators Implement actions Implement perspectives Implement translations Module 7: Implementing a Tabular Data Model by Using Analysis Services This module describes how to implement a tabular data model in PowerPivot. Lessons Introduction to tabular data models Creating a tabular data model Using an analysis services tabular model in an enterprise BI solution Lab : Working with an Analysis services tabular data model After completing this module, you will be able to: Describe tabular data models Create a tabular data model Be able to use an analysis services tabular data model in an enterprise BI solution Module 8: Introduction to Data Analysis Expression (DAX) This module describes how to use DAX to create measures and calculated columns in a tabular data model. Lessons DAX fundamentals Using DAX to create calculated columns and measures in a tabular data model Lab : Creating Calculated Columns and Measures by using DAX After completing this module, you will be able to: Describe the fundamentals of DAX Use DAX to create calculated columns and measures in a tabular data model Module 9: Performing Predictive Analysis with Data Mining This module describes how to use data mining for predictive analysis. Lessons Overview of data mining Using the data mining add-in for Excel Creating a custom data mining solution Validating a data mining model Connecting to and consuming a data mining model Lab : Perform Predictive Analysis with Data Mining After completing this module, you will be able to: Describe data mining Use the data mining add-in for Excel Create a custom data mining solution Validate a data mining solution Connect to and consume a data mining solution [-]

This course builds your skills in installing, configuring, and managing VMware Horizon® 7 through a combination of lecture and hands-on labs. You will learn how to configure and deploy pools of virtual machines, how to manage the access and security of the machines, and how to provide a customized desktop environment to end users.   Course objectives: By the end of the course, you should be able to meet the following objectives: Identify VMware Horizon components Install and configure View Connection Server Install and configure virtual desktops Configure and manage VMware Horizon® Client™ systems Configure and manage pools of physical and virtual machines Configure and manage automated pools of full virtual machines Configure and manage pools of linked-clone desktops Configure and manage automated pools of instant clones Configure and manage Remote Desktop Services (RDS) pools of desktops and applications Use Horizon Administrator to configure the VMware Horizon environment Configure secure access to virtual desktops Use VMware User Environment Manager™ to manage user personalization and application configurations Describe steps to deploy profile management Use VMware App Volumes™ to provision and manage applications Manage the performance and scalability of a VMware Horizon deployment   [-]

The course goes beyond the capabilities of tables and charts and uses Pivot Charts, the Excel Data Model, and Power BI. This course is recommended as preparation for exam 70-779 which is the first of two exams leading to MCSA BI Reporting certification.  After completing this course, students will be able to: Explore and extend a classic Excel dashboard. Explore and extend an Excel data model. Pre-format and import a .CSV file. Import data from a SQL Server database Import data from a report. Create measures using advanced DAX functions. Create data visualizations in Excel. Create a Power BI dashboard with Excel. Read the official course description here: MS 20779: Analyzing Data with Excel  [-]

Adobe Photoshop er sentral i så og si alle designprosjekter, dette være seg: foto, design, 3D-illustrasjoner eller video. For å få tilgang til Adobe Photoshop må du enten abonnere på Creative Cloud for fotografer (kr 117,- per måned) eller Creative Cloud (kr 590,- per måned). I dette kurset vil kursinstruktør Espen Faugstad lære deg alt du trenger for å kunne beherske Adobe Photoshop på en profesjonell og tidseffektiv måte. Du lærer hvordan Adobe Photoshop er organisert og hvordan man jobber med lag, masker, verktøy, justeringer, filtereffekter, m.m. Kort oppsummert, alt man trenger for å kunne mestre Adobe Photoshop. Innhold Du lærer hvordan Photoshop er organisert Du lærer å jobbe med lag Du lærer å markere Du lærer å beskjære Du lærer å retusjere Du lærer å justere Du lærer å jobbe med masker Du lærer å bruke lageffekter Du lærer å bruke filtereffekter Du lærer å fjerne støy Du lærer å gjøre skarpere Du lærer å bruke biblioteket Du lærer å lage kreasjoner Du lærer å eksportere [-]

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. Inventor grunnkurs Her er et utvalg av temaene du vil lære på kurset: Generelt Part-modellering (3D-komponenter) Samlinger Skjelettmodellering på basisnivå Tegninger i 2D Autodesk Inventor 3D CAD programvare brukes til produktdesign, rendering og simuleringer. Løsningen er viktig når smarte ideer skal bli til produksjonsklar design, og for å utvikle fremtidens produkter og tjenester. Inventor tilfører større kvalitet til utviklingsprosesser med smarte funksjoner som optimaliserer, gjør det enkelt å «se» modellen, og simulere hvordan konseptet/prototypen vil fungere i bruk.   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 [-]

I dette kurset forutsettes at deltagerne er vante Excelbrukere, slik at de behersker grunnleggende teknikker og henger med i gjennomgangen av mer videregående funksjonalitet. Mange av temaene vil være de samme som i det grunnleggende kurset, men vil kunne bli gjennomgått i mer avanserte eksempler. Sjekk av grunnleggende ting i formelbygging og formelkopiering Modellbyggingsteknikker – gjennomgående summering og tabulering av data med funksjonen INDIREKTE Tall og tekst – identifikasjon og korreksjon av «tekst»-tall Importutfordringer – rydde og ordne importerte datasett Datalister – bearbeiding og forberedelse til analyse Pivottabell – hvorfor og hvordan Power Pivot – en introduksjon Sentrale funksjoner: HVIS, HVISFEIL, FINN.RAD, m. fl. Grafisk fremstilling av numeriske data Arbeide med tid (dager, klokkeslett, etc.) i Excel Betingede sammendrag med bl.a. SUMMER.HVIS.SETT, matriseformler, etc. Makroer – en introduksjon [-]

Dette er andre del av vårt nettkurs som omhandler webutvikling. I denne delen kommer du til å lære hva CSS er, hvorfor det er nyttig og hvordan du tar det i bruk. Kursinstruktør Espen Faugstad vil guide deg gjennom hele prosessen, og i slutten av kurset har du laget din egen nettside ved hjelp av HTML og CSS. I begynnelsen av kurset lærer du hvordan man legger til CSS koder som påvirker eksisterende HTML-tagger. Deretter lærer du hvordan man lager egne CSS klasser som påvirker HTML-tagger. Du kommer også til å lære hvordan man lager en flytende layout ved hjelp av CSS. Innhold Du lærer å lage og tilpasse utseende på en nettside ved hjelp av CSS3 [-]

GeT Everything NTI tilbyr eLæringkurs av høyeste kvalitet. Uansett hvilket kurs du velger har du tilgang til dem 24/7 i 1 år (365 dager). Med elæringskurs velger du selv ditt tempo i læringen, og om du vil lære gjennom kombinasjon av å se, lese, lytte og teste selv – eller hvorfor ikke en kombinasjon av flere? Det du trenger er en PC, smarttelefon eller nettbrett som har internettilgang   Her er et utvalg av kursene du får tilgang på: Autodesk Adobe Primavera Bluebeam Bentlye Microsof Trimble McNeel NTI  leverer opplæring for å forenkle og effektivisere din arbeidshverdag Vi 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. Global eTraining har over 25 års erfaring med opplæring, og har solgt millioner av elæringskurs i over 150 land.  PC, smarttelefon eller nettbrett som har internettilgang Pål har gjennomført e-læringskurs Pål hadde ikke anledning til å reise bort en uke for å delta på kurs, da var det forlokkende å gjennomføre kurset som e-læringskurs. Kurset var absolutt verdt pengene. Det var en viktig bekreftelse på at jeg har basiskunnskapene. Jeg lærte mange nye viktige kommandoer for å gjøre operasjoner mer effektivt, fikk også en pekepinn på hvor jeg kan bygge på med kunnskap.Les mer her [-]

MS Project, er et av verdens ledende prosjektstyringsverktøy. I dette emnet får du god innføring i målrettet prosjektstyring som metodikk. Du lærer også å bruke MS Project som et nyttig verktøy for å planlegge aktiviteter og ressurser, beregne kostnader og rapportere. I emnet, MS Project, lærer man å styre et prosjekt ved å skape forståelse for hvordan ledelse av et prosjekt følger en stegvis prosess. Ved bruk av prosjektstyringsverktøyet MS Project, lærer du effektive måter å planlegge, følge opp og rapportere i ulike faser av prosjektet. Hensikten med emnet er å gi kunnskap og trening i prosjektstyringsverktøyet. Du får også forståelse for metodikken i målrettet prosjektstyring, slik at du kan: Lære om ulike prosjekttyper og få forutsetninger for å organisere arbeid i prosjekt Gjennomføre tids- og ressursplanlegging, styring og kontroll av prosjekt Lage milepælsplaner og ansvarskart, samt metodikk og verktøy for detaljplanlegging Gjøre rede for risiko- og usikkerhetshåndtering Gjennomføre økonomisk styring av prosjekt Rapportere status og presentere resultater   Karrieremuligheter Kompetanse om prosjektstyring er nyttig i de aller fleste bransjer og virksomheter, og prosjektstyringsverktøyet MS Project, er det mest utbredte verktøyet på området. Eksempel på arbeidsområder der du drar god nytte av kompetanse innen prosjektstyring: Innføring av nye IT-systemer Organisasjonsendringer Utvikling av nye produkter og tjenester Byggeprosjekter Planlegging og gjennomføring av arrangement Flytting av lokaler Markedsføringskampanjer Osv.     [-]

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.    This course teaches participants the following skills: Consider the entire range of Google Cloud Platform technologies in their plans. Learn methods to develop, implement, and deploy solutions. Distinguish between features of similar or related products and technologies. Recognize a wide variety of solution domains, use cases, and applications. Develop essential skills for managing and administering solutions. Develop knowledge of solution patterns -- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities. Course Outline Module 1: Introduction to Google Cloud Platform Module 2: Virtual Networks Module 3: Virtual Machines Module 4: Cloud IAM Module 5: Resource Management Module 6: Data Services Module 7: Interconnecting Networks Module 8: Infrastructure Automation Module 9: Autoscaling Module 10: Resource Monitoring Module 11: Containers Module 12: Platform Security Module 13: Managed Services Module 14: Application Development Infrastructure   [-]

Faglig innhold: Bruk av Linux kommandoskall, installasjon av Linux og bruk av pakkebehandlere, tjenester (Web, databaser, e-post, DNS, DHCP, VPN) og virtualisering, brukeradministrasjon (LDAP, PAM), integrasjon med MSWindows, nettverk (IP-ruting, brannmur, NAT, VLAN, trådløse nett og nettverksadministrasjon) backup, sikkerhet, skallprogrammering, programutviklingsmiljø. Læremål: Etter å ha gjennomført emnet skal studenten ha følgende læringsutbytte: KUNNSKAPER Studenten kan: - Redegjøre for de mest brukte Linux-distribusjonene, vite hvilke som er mest brukt som tjenere - Bruke Linux kommandogrensesnitt til vanlig fil- og mappebehandling, men også til drift av egen Linux arbeidsstasjon. - Forklare oppbygging av de mest brukte nettverkskonfigurasjonene inkludert tjenere, rutere og sikkerhetsaspekter. - Forklare hvordan oppsett av filtjenere, brukeradministrasjon og autentisering foregår i et nettverk. FERDIGHETER Studenten kan: - installere Linux på egen arbeidsstasjon og på tjenermaskin, samt konfigurere og drifte denne. - installere og konfigurere nettverk bestående av Linux-tjenere og Windows-klienter, samt feilfinning i installasjonen. - lage skriptprogrammer for å overvåke systemet og for gjentagende systemoppgaver - designe et IP-nettverk og begrunne oppbygning, funksjonalitet og sikkerhet i nettverket. - installere og konfigurere tjenerprogramvare for webpublisering, database og nettverksfunksjonalitet. - installere og drifte typiske tjeneroppgaver som epost, dns, dhcp - installere og drifte sikkerhetstiltak som backup og brannmur - lage skriptprogrammer for automatisering av rutinearbeid som lage brukerkontoer, kjøre i gang programmer med kompliserte oppsett, lete frem og behandle filer mm. - installere og konfigurere en webtjener med LAMP-arkitektur. - installere og konfigurere en Linux-basert VPN-løsning. - installere, konfigurere og drifte Linux-baserte rutere og svitsjer. GENERELL KOMPETANSE Studenten kan: - redegjøre for framveksten av Linux og dens historie med basis i UNIX og GNU. - forklare begrepet free software og liste opp kriterier og krav som gjelder for free software. [-]