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Nettkurs 1 dag 3 750 kr
29 Oct
Repetisjonskurs for fiskevelferd - matfiskproduskjon [+]
Fiskevelferdskurs matfiskproduksjon, repetisjon VAL FoU og Sikkerhetssenteret Rørvik AS har utviklet e-læringskurs for havbruksnæringa. Kurset er lovpålagt og dekker lov- og forskriftsfestede kompetansekrav for laksefisk. Fiskevelferd Regelverk Forebyggende helsearbeid Helseutfordringer og sykdom Hvordan ivareta fiskevelferd under ulike arbeidsoperasjoner? Lus og avlusing Rensefisk Miljø og produksjonssystemer Kurset er utviklet- og holdes av fiskehelsepersonell som jobber i havbruksnæringen.  [-]
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Oslo Bergen Og 1 annet sted 5 dager 23 900 kr
30 Nov
30 Nov
30 Nov
The web is developing at a high speed. This training shows you how to build modern, fast, flexible mobile and desktop web applications based on the latest technologies. [+]
Besides covering the basics of HTML, CSS and JavaScript, we’ll also deep dive into each of those technologies. You’ll learn to create sites that dynamically adjust to screen sizes with use of CSS Flexbox, CSS Grid, relative font sizes and responsive images. How to have a normal website and also let it appear as a traditional application or native mobile application? Want to write apps that are powered by Web technologies and delivered with Web infrastructure? Welcome to Progressive Web Apps. PWAs are secure and installable, can run offline and can display system notifications even when the app is not running. Accessibility and Video will be covered extensively. Finally you’ll learn how to measure and optimise performance, as well as debugging and testing. Basically this course will teach the most popular and successful web technologies in use today. Course will be updated regularly to keep up with the latests developments.   Course content: ECMAScript 2018 and beyond (JavaScript) We’ll cover basic syntax as well as useful new additions to the language. Most notable: Variable declarations with let, var and const; Class syntax; Modules; Template strings; Arrow functions; Default parameters in functions; for..of loops; Promises and async/await asynchronous function handling; Destructuring; Rest and Spread operators for quick array and object manipulations; Maps (key-value pairs) and Sets (unique values). Layout CSS Flexbox (1 dimension layout) and CSS Grid (2 dimension layout) will be covered. The Grid allows for layouts that were previously impossible or could only be achieved with JavaScript. Grid also surpasses Bootstrap in possibilities, flexibility and has a simpler markup. Flexible layouts depending on the screen capabilities are covered. HTML 5.2 and beyond Basics like the Document Object Model (DOM) and manipulation thereof as well as the working of the event-system are covered. We’ll dive deeper into handling both touch and mouse event to work with all types of devices, not only desktops. HTML Forms input types and validation methods are covered. CSS (Snapshot 2017 and beyond) Explaining CSS precedence. Both well known and the latests selectors, pseudo classes and pseudo elements are discussed as well as style attributes. Techniques to adjust to the screen size are responsive images as well as Web Fonts and flexible font sizes. Progressive Web Apps Progressive Web Apps (PWA) is a set of technologies you can use to enhance a website with application behaviour: Installable: The website can be added to the home screen of the device. Web App Manifest: Defining the icon, home screen title, splash screen, background color and home page. Fetch: Simple and powerful API to fetch resources (successor of XMLHttpRequest). Offline and online behaviour: No matter if there is a network connection, the app will work using Service Workers to control requests and storing responses to requests offline using the Cache API, Web Storage or IndexedDB. Notifications. Send updates from the server to the app with the Push API and use the Notification API to generate system notifications even if the app is not running. Safe: Only https (or localhost for development). Progressive: Use the above technologies if they are available, but the page (app) will work if the device’s browser is less capable. PWA can even be published to the Microsoft Store and become Windows Apps. Storage Data storage within the browser are covered with 3 techniques: Storage API, Local & Session storage when you don’t want to store too much data. IndexedDB API (version 2), is an object database with more capacity. Cache API for use with Progressive Web Apps. Video & Audio Answers: How to add video & audio elements? How to create subtitles and picture-in-picture video? Accessibility Explaining techniques to keep your designs accessible for the visual impaired. Performance Subjects: Compression and minification of images, scripts, css, etc. To inline or not to inline? Async loading of scripts. How to measure performance? Testing Browsers offer support to test on devices with different capabilities like screen sizes and connection speeds. We’ll also cover writing JavaScript unit tests. Debugging Explaining how to use the developer tools in the browser: Setting breakpoints in code or when events happen Using the console Dynamically making changes for immediate feedback Debugging CSS specificity and computed styles. [-]
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Oslo Stavanger Og 2 andre steder 3 dager 20 000 kr
26 Oct
26 Oct
23 Nov
Learn how to process data using a range of technologies and languages for both streaming and batch data. [+]
In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data. The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.   Course content This course contains these themes and modules: Module 1: Azure for the Data Engineer Explain the evolving world of data Survey the services in the Azure Data Platform Identify the tasks that are performed by a Data Engineer Describe the use cases for the cloud in a Case Study Module 2: Working with Data Storage Choose a data storage approach in Azure Create an Azure Storage Account Explain Azure Data Lake storage Upload data into Azure Data Lake Module 3: Enabling Team Based Data Science with Azure Databricks Explain Azure Databricks and Machine Learning Platforms Describe the Team Data Science Process Provision Azure Databricks and workspaces Perform data preparation tasks Module 4: Building Globally Distributed Databases with Cosmos DB Create an Azure Cosmos DB database built to scale Insert and query data in your Azure Cosmos DB database Provision a .NET Core app for Cosmos DB in Visual Studio Code Distribute your data globally with Azure Cosmos DB Module 5: Working with Relational Data Stores in the Cloud SQL Database and SQL Data Warehouse Provision an Azure SQL database to store data Provision and load data into Azure SQL Data Warehouse Module 6: Performing Real-Time Analytics with Stream Analytics Explain data streams and event processing Querying streaming data using Stream Analytics How to process data with Azure Blob and Stream Analytics How to process data with Event Hubs and Stream Analytics Module 7: Orchestrating Data Movement with Azure Data Factory Explain how Azure Data Factory works Create Linked Services and datasets Create pipelines and activities Azure Data Factory pipeline execution and triggers Module 8: Securing Azure Data Platforms Configuring Network Security Configuring Authentication Configuring Authorization Auditing Security Module 9: Monitoring and Troubleshooting Data Storage and Processing Data Engineering troubleshooting approach Azure Monitoring Capabilities Troubleshoot common data issues Troubleshoot common data processing issues Module 10: Integrating and Optimizing Data Platforms Integrating data platforms Optimizing data stores Optimize streaming data Manage disaster recovery [-]
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Oslo 3 dager 20 000 kr
26 Oct
26 Oct
07 Dec
Gain the necessary knowledge about how to use Azure services to develop, train and deploy machine learning solutions. [+]
Gain the necessary knowledge about how to use Azure services to develop, train and deploy machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline.   IMPORTANT NOTICE! This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.   Course content Module 1: Doing Data Science on Azure Introduce the Data Science ProcessOverview of Azure Data Science OptionsIntroduce Azure Notebooks Module 2: Doing Data Science with Azure Machine Learning service Introduce Azure Machine Learning (AML) serviceRegister and deploy ML models with AML service Module 3: Automate Machine Learning with Azure Machine Learning service Automate Machine Learning Model SelectionAutomate Hyperparameter Tuning with HyperDrive Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service Manage and Monitor Machine Learning Models [-]
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Oslo 3 dager 22 900 kr
16 Dec
27 Jan
27 Jan
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of t... [+]
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios. Course objectives: In this course, you will learn to: Use the principal concepts and practices behind the DevOps methodology Design and implement an infrastructure on AWS that supports one or more DevOps development projects Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS Use AWS CodeStar to manage all software development activities in one place Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario Use Amazon EC2 Systems Manager for patch management Leverage automated testing in different stages of a CI/CD pipeline Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues   Delivery Method Instructor-Led Training (ILT) Hands-on Labs   Course outline Day 1 Introduction to DevOps AWS Command Line Interface Introduction to DevSecOps Deployment Strategies and Developer Tools Day 2 Infrastructure as Code Deep Dive into AWS Developer Tools Automated Testing on AWS Day 3 Configuration Management AMI Building and Amazon EC2 Systems Manager Containers: Docker and Amazon ECS DevOps Customer Case Studies Course Wrap-Up [-]
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Nettkurs 1 dag 4 500 kr
29 Oct
Fiskevelferdskurs i hht. havbruksforskriften [+]
Fiskevelferdskurs matfiskproduksjon - grunnopplæring. VAL FoU og Sikkerhetssenteret Rørvik AS har utviklet e-læringskurs for havbruksnæringa. Kurset er lovpålagt og dekker lov- og forskriftsfestede kompetansekrav for laksefisk. Fiskevelferd Laksens naturlige behov og adferd Regelverk Velferdsindikatorer Stress og stressfaktorer Forebyggende helsearbeid Helseutfordringer og sykdom Hvordan ivareta fiskevelferd under ulike arbeidsoperasjoner? Lus og avlusing Rensefisk Miljø og produksjonssystemer Kurset er utviklet- og holdes av fiskehelsepersonell som jobber i havbruksnæringen.   [-]
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Nettkurs 1 dag 4 500 kr
29 Oct
VAL FoU og Sikkerhetssenteret Rørvik AS har utviklet e-læringskurs for havbruksnæringa. Kurset er lovpålagt og dekker lov- og forskriftsfestede k... [+]
VAL FoU og Sikkerhetssenteret Rørvik AS har utviklet e-læringskurs for havbruksnæringa. Kurset er lovpålagt og dekker lov- og forskriftsfestede kompetansekrav for laksefisk. Fiskevelferd Laksens naturlige behov og adferd Regelverk Velferdsindikator Stress og stressfaktorer Forebyggende helsearbeid Helseutfordringer og sykdom Fiskevelferd ved slakting Miljø og produksjonssystemer   Kurset er utviklet- og holdes av fiskehelsepersonell som jobber i havbruksnæringen.  [-]
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Nettkurs 1 time 3 750 kr
29 Oct
VAL FoU og Sikkerhetssenteret Rørvik AS har utviklet e-læringskurs for havbruksnæringa. Kurset er lovpålagt og dekker lov- og forskriftsfestede k... [+]
VAL FoU og Sikkerhetssenteret Rørvik AS har utviklet e-læringskurs for havbruksnæringa. Kurset er lovpålagt og dekker lov- og forskriftsfestede kompetansekrav for laksefisk. Kort om kursinnholdet Fiskevelferd Regelverk Forebyggende helsearbeid Helseutfordringer og sykdom Hvordan ivareta fiskevelferd under ulike arbeidsoperasjoner? Lus og avlusing Rensefisk Miljø og produksjonssystemer   Kurset er utviklet- og holdes av fiskehelsepersonell som jobber i havbruksnæringen.  [-]
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Oslo 3 dager 22 900 kr
18 Nov
18 Nov
20 Jan
Learn how to work with Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Athena, and the rest of the AWS Big Data platform to process data and create Big Data environme... [+]
In this course, you will learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will also teach you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness. Course Objectives  In this course, you will learn to: Fit AWS solutions inside a Big Data ecosystem Leverage Apache Hadoop in the context of Amazon EMR Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue) Use in-memory analytics with Apache Spark on Amazon EMR Choose appropriate AWS data storage options Identify the benefits of using Amazon Kinesis for near real-time Big Data processing Leverage Amazon Redshift to efficiently store and analyze data Comprehend and manage costs and security for a Big Data solution Identify options for ingesting, transferring, and compressing data Leverage Amazon Athena for ad-hoc query analytics Use AWS Glue to automate extract, transform, and load (ETL) workloads Use visualization software to depict data and queries using Amazon QuickSight   Delivery method This course will be delivered through a mix of: Instructor-led Training (ILT) Hands-on Labs   Hands-on activity This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises   Course Outline Day 1 Overview of Big Data Ingestion Big Data streaming and Amazon Kinesis Using Kinesis to stream and analyze Apache server logs Storage Solutions Querying Big Data using Amazon Athena Using Amazon Athena to analyze log data Introduction to Apache Hadoop and Amazon EMR Day 2 Using Amazon Elastic MapReduce Storing and Querying Data on DynamoDB Hadoop Programming Frameworks Processing Server Logs with Hive on Amazon EMR Streamlining Your Amazon EMR Experience with Hue Running Pig Scripts in Hue on Amazon EMR Spark on Amazon EMR Processing New York Taxi dataset using Spark on Amazon EMR Day 3 Using AWS Glue to automate ETL workloads Amazon Redshift and Big Data Visualizing and Orchestrating Big Data Visualizing Managing Amazon EMR Costs Securing Big Data solutions Big Data Design Patterns   [-]
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Webinar 6 timer 2 850 kr
06 Nov
Få innsikt i relevant maskinregelverk, EU-direktiver og normer. Lær å velge gode løsninger og sikre at dokumentasjon blir ivaretatt og riktig utført. [+]
Målgruppe Montører, lærlinger, elektroentreprenører, saksbehandlere, rådgivende ingeniører, tilsynsingeniører, elektropersonell i industrien og elektrolærere Kursinnhold Maskindirektivet/Forskrift om maskiner/ NEK EN 60204-1 Hva er en maskin? Hvor går grensesnittet mellom en installasjon og en maskin Gjennomgang av sentrale paragrafer i Forskrift om maskiner Gjennomgang av sentrale deler av NEK EN 60204-1:2018 Ombygging, endringer og vedlikehold av maskiner Krav til kvalifikasjoner Varighet6 timer [-]
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Nettstudier Sentrum 2 timer 790 kr
26 Nov
I alle skoler, på alle trinn, finnes det sårbare elever. Mange unge oppgir å ikke være gode nok og kravet til å prestere er høyt. [+]
Flere oppgir å slite med psykiske problemer knyttet til vanskelig liv og oppvekst. Hvordan kan du som lærer forstå mer og snakke om psykisk helse med elever? Dette nettkurset tar sikte på å styrke deg i møtet med utsatte elever som sliter med depresjon, angst og mobbing og på den måten forhindre utenforskap og isolasjon. Kurset gir deg også kunnskap om sårbarhetsfaktorer, økt emosjonell kompetanse og råd til hvordan du kan styrke og engasjere eleven i målet om å få det bedre med seg selv. I løpet av kurset vil du få en innføring i hvordan du kan ha gode og støttende samtaler, ta utgangspunkt i caser og gjennom dette gi deg økt kompetanse og styrke deg i ditt arbeid med å skape et mer åpent og inkluderende mangfoldsmiljø i skolen. Kursholder Anders Røyneberg er psykiatrisk sykepleier og sexologisk rådgiver. Han jobber som terapeut ved Institutt for klinisk sexologi og terapi. Anders skriver også i spalten Si;D i Aftenposten og underviser ved OsloMet.  [-]
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Nettkurs 2 timer 3 438 kr
Selv om HMS (helse-, miljø- og sikkerhet) er et innarbeidet begrep og arbeidsmiljøloven stiller krav til arbeidsgiver om HMS opplæring, kan det være vanskelig å komme i g... [+]
Informasjon Selv om HMS (helse-, miljø- og sikkerhet) er et innarbeidet begrep og arbeidsmiljøloven stiller krav til arbeidsgiver om HMS opplæring, kan det være vanskelig å komme i gang. Når Arbeidstilsynet kommer på besøk, når anbud skal utformes eller man skal i forhandlinger med forsikringsselskapet om premiefastsetting er det både nødvendig og lønnsomt å kunne dokumentere hva man faktisk gjør på HMS området. Kurset er i henhold til arbeidsmiljøloven § 3-5 med tilhørende veiledning fra arbeidstilsynet og behandler bl.a.: Nytteverdi av systematisk HMS arbeid Lov og regelverk Ansvar, rolle og oppgaver i HMS arbeidet HMS faktorer Kartleggingsmetoder Dokumentasjon og systematikk [-]
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Oslo 3 dager 22 900 kr
09 Dec
09 Dec
24 Feb
Building on concepts introduced in Architecting on AWS, Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic a... [+]
In this course, you will build on concepts introduced in Architecting on AWS. You will learn how to build complex solutions that incorporate data services, governance, and security on the AWS platform. You will also learn about specialized AWS services, including AWS Direct Connect and AWS Storage Gateway, that support hybrid architecture, and you will learn about best practices for building scalable, elastic, secure, and highly available applications on AWS. Course Objectives This course teaches you how to: Apply the AWS Well-Architected Framework Manage multiple AWS accounts for your organization Connect an on-premises data center to the AWS Cloud Discuss billing implications of connecting multi-region VPCs Move large data from an on-premises data center to AWS Design large data stores for the AWS Cloud Understand different architectural designs for scaling a large website Protect your infrastructure from distributed denial of service (DDOS) attacks Secure your data on AWS with encryption Design protection of data at rest and data in transit Enhance the performance of your solutions Select the most appropriate AWS deployment mechanism   Delivery method:This course is delivered through a mix of: Instructor-led Training (ILT) Web-Based Training (WBT) Hands-on Labs   Hands-on activity:This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.   Course Outline:  Day 1 Review of Architecting for the Cloud Best Practices and the AWS Well-Architected Framework AWS Account Strategies Advanced Networking Architectures Deployment Management on AWS Day 2 Designing Large Datastores Moving Large Datastores into AWS Big Data Architectures Designing for Large Scale Applications Day 3 Building Resilience into Your Architecture Data Encryption and Key Management in AWS Securing Data on AWS Designing for Performance     [-]
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