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Bedriftsintern 2 dager 11 500 kr
This course begins with an overview of the different cloud computing models and services provided by the major public cloud providers. Several cloud computing concerns li... [+]
Course Description This course then focuses on enterprise application to cloud concerns including planning and executing a migration, building the business case, managing application dependencies, selecting a proof of concept, and serverless/managed services. A series of instructor-led demonstrations and hands-on activities provide students with practical, hands-on experience. Learning Objectives Learn what technologies enable cloud computing Understand the definition and characteristics of cloud computing Compare service models: IaaS, PaaS, SaaS, Serverless Develop the business case for a cloud migration Plan a successful cloud migration Decipher the risks of both development and security with cloud computing Analyze the costs of using cloud computing and an approach to calculating them Objection handling when dealing with projects situations around risk All courses will be delivered in partnership with ROI Training, Google Cloud Premier Partner, using a Google Authorized Trainer. Course Outline Unit 1: Enabling Technologies -Networking-Virtualization-Overview of Virtualization-Hypervisors and Containers-Security and Virtualization-Multi-tenancy Unit 2: Cloud Computing Concepts -Cloud Definition-Characteristics of Clouds-Cloud Service and Deployment Models-Public Cloud Products and Services Unit 3: Cloud Service Models -Comparing Services Offered by Google Cloud Platform (GCP), Amazon Web Services (AWS), and Azure-Compute Services-Storage Services-Kubernetes Services-Serverless and Managed Services-Big Data and Machine Learning Unit 4: Building a Business Case for the Cloud -Economic and Financial-Understand the Cloud Cost Model-Calculating the Cost of a Cloud Solution-Transform Capital Expenditures to Operating Expenditures-Agility-Lower Risk of Adopting and Evaluating New Technology-Reduce Time to Market-Quickly React as Markets and Requirements Change-Risk Mitigation-High Quality Infrastructure-Reduce Downtime-Cloud SLAs-Leveraging Hybrid and Multi-Cloud Solutions-Staff Utilization-Eliminate Mundane Operational Tasks-Harness Monitoring and Logging-Onboarding Applications and Users Unit 5: Migrating to the Public Cloud -Phases in a Successful Migration-Assessment-Proof of Concept-Data Migration-Application Migration-Employ Cloud Native Services-Cloud Native Development-Selecting Workloads-Backup / Disaster Recovery-Packaged Enterprise Software-Custom Applications-Open-Source Applications Unit 6: Security and the Cloud -Cloud-based Security Issues-Shared Responsibility Model-Security Auditing in the Cloud-Compliance with Regulatory Constraints [-]
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Virtuelt klasserom 3 timer
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Virtuelt klasserom 5 dager 28 500 kr
This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions... [+]
Agenda Module 1: Creating Azure App Service Web Apps -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 -Azure Functions overview-Developing Azure Functions-Implement Durable Functions Module 3: Develop solutions that use blob storage -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 -Azure Cosmos DB overview-Azure Cosmos DB data structure-Working with Azure Cosmos DB resources and data Module 5: Implement IaaS solutions -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 -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 -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 -API Management overview-Defining policies for APIs-Securing your APIs Module 9: Develop App Service Logic Apps -Azure Logic Apps overview-Creating custom connectors for Logic Apps Module 10: Develop event-based solutions -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 -Implement solutions that use Azure Service Bus-Implement solutions that use Azure Queue Storage queues Module 12: Monitor and optimize Azure solutions -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 -Develop for Azure Cache for Redis-Develop for storage on CDNs [-]
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5 000 kr
5G Security [+]
5G Security [-]
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Virtuelt klasserom 3 dager 23 650 kr
Due to the Coronavirus the course instructor is not able to come to Oslo. As an alternative we offer this course as a Blended Virtual Course. [+]
Blended Virtual Course The course is a hybrid of virtual training and self-study which will be a mixture of teaching using Microsoft Teams for short bursts at the beginning of the day, then setting work for the rest of the day and then coming back at the end of the day for another on-line session for any questions before setting homework in the form of practice exams for the evening. You do not have to install Microsoft Teams , you will receive a link and can access the course using the web browser.  Remote proctored examTake your exam from any location. Read about iSQI remote proctored exam here Requirements for the exam: The exam will be using Google Chrome and there is a plug-in that needs to be installed  You will need a laptop/PC with a camera and a microphone  A current ID with a picture  This 3-day course is aimed at anyone wishing to attain the ISTQB Advanced Test Automation Engineer qualification. This qualification builds upon the Foundation syllabus and provides essential skills for all those involved in test automation and who want to develop further their expertise in one or more specific areas. Bouvet sine kursdeltakeres testresultater vs ISTQB gjennomsnitt A Test Automation Engineer is one who has broad knowledge of testing in general, and an in-depth understanding in the special area of test automation. An in-depth understanding is defined as having sufficient knowledge of test automation theory and practice to be able to influence the direction that an organization and/or project takes when designing, developing and maintaining test automation solutions for functional tests. The modules offered at the Advanced Level Specialist cover a wide range of testing topics.   The course is highly practical addressing the following areas: Introduction and objectives for Test Automation This section provides an introduction to test automation explaining the objectives, advantages, disadvantages and limitations of test automation as well as technical success factors of a test automation project. Preparing for Test Automation Understanding the type of system is vital for determining the most appropriate automation solution and also how we can design systems and testing for more effective automation. This section also looks at how we can evaluate for the most appropriate tools. The generic Test Automation architecture A test automation engineer has the role of designing, developing, implementing, and maintaining test automation solutions. As each solution is developed, similar tasks need to be done, similar questions need to be answered, and similar issues need to be addressed and prioritized. These reoccurring concepts, steps, and approaches in automating testing become the basis of the generic test automation architecture, and this will be discussed in detail during this section Deployment risks and contingencies This section looks at the various risks associated with the deployment of test tools and how to avoid test automation failure. Test Automation reporting and metrics Providing information to stakeholders for them to make informed decisions about the quality of the software is a vital part of testing and this section looks at the various metrics that can be used to monitor test automation and what information should be supplied to the stakeholder and how it should be presented. Transitioning manual testing to an automated environment This section looks at the various criteria to apply to determine the suitability for automation and understanding the factors for transitioning from manual to automation testing Verifying the Test Automation solution To have justified confidence in the information we supply to the stakeholders regarding test automation we must have justified confidence in the test environment and test automation solution supporting the information Continuous improvement This section looks ahead and how we can improve the automation solution making it more effective and efficient The Exam The ISTQB Advanced Test Automation Engineer exam is a 1 hour 30 minute, 40 question multiple-choice exam totaling 75 points. The pass mark is 65% (49 out of 75). It is a pre-requisite that attendees hold the ISTQB Foundation Level certificate. [-]
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Oslo Bergen Og 1 annet sted 2 dager 16 900 kr
27 Jun
26 Sep
10 Oct
Modern Application Architecture [+]
Modern Application Architecture [-]
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Virtuelt klasserom 2 dager 14 000 kr
In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-... [+]
The students will also explore how to design data security including data access, data policies and standards. They will also design Azure data solutions which includes the optimization, availability and disaster recovery of big data, batch processing and streaming data solutions. Agenda Module 1: Data Platform Architecture Considerations. -Core Principles of Creating Architectures-Design with Security in Mind-Performance and Scalability-Design for availability and recoverability-Design for efficiency and operations-Case Study Module 2: Azure Batch Processing Reference Architectures. -Lambda architectures from a Batch Mode Perspective-Design an Enterprise BI solution in Azure-Automate enterprise BI solutions in Azure-Architect an Enterprise-grade Conversational Bot in Azure Module 3: Azure Real-Time Reference Architectures. -Lambda architectures for a Real-Time Perspective-Lambda architectures for a Real-Time Perspective-Design a stream processing pipeline with Azure Databricks-Create an Azure IoT reference architecture Module 4: Data Platform Security Design Considerations. -Defense in Depth Security Approach-Network Level Protection-Identity Protection-Encryption Usage-Advanced Threat Protection Module 5: Designing for Resiliency and Scale. -Design Backup and Restore strategies-Optimize Network Performance-Design for Optimized Storage and Database Performance-Design for Optimized Storage and Database Performance-Incorporate Disaster Recovery into Architectures-Design Backup and Restore strategies Module 6: Design for Efficiency and Operations. -Maximizing the Efficiency of your Cloud Environment-Use Monitoring and Analytics to Gain Operational Insights-Use Automation to Reduce Effort and Error [-]
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Oslo 5 dager 30 000 kr
22 Apr
22 Apr
27 May
AI-102: Designing and Implementing a Microsoft Azure AI Solution [+]
AI-102: Designing and Implementing a Microsoft Azure AI Solution [-]
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Virtuelt klasserom 3 dager 24 500 kr
In this course students will gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilitie... [+]
Objectives Describe specialized data classifications on Azure Identify Azure data protection mechanisms Implement Azure data encryption methods Secure Internet protocols and how to implement them on Azure Describe Azure security services and features Agenda Module 1: Identity and Access -Configure Azure Active Directory for Azure workloads and subscriptions-Configure Azure AD Privileged Identity Management-Configure security for an Azure subscription Module 2: Platform Protection -Understand cloud security-Build a network-Secure network-Implement host security-Implement platform security-Implement subscription security Module 3: Security Operations -Configure security services-Configure security policies by using Azure Security Center-Manage security alerts-Respond to and remediate security issues-Create security baselines Module 4: Data and applications -Configure security policies to manage data-Configure security for data infrastructure-Configure encryption for data at rest-Understand application security-Implement security for application lifecycle-Secure applications-Configure and manage Azure Key Vault       [-]
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Virtuelt klasserom 4 dager 24 500 kr
This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations relat... [+]
Recommend solutions to minimize costs Recommend a solution for Conditional Access, including multi-factor authentication Recommend a solution for a hybrid identity including Azure AD Connect and Azure AD Connect Recommend a solution for using Azure Policy Recommend a solution that includes KeyVault Recommend a solution that includes Azure AD Managed Identities Recommend a storage access solution Design and Azure Site Recovery solution Recommend a solution for autoscaling Recommend a solution for containers Recommend a solution for network security Recommend a solution for migrating applications and VMs Recommend a solution for migration of databases  Agenda Module 1: Design for Cost Optimization -Recommend Solutions for Cost Management-Recommended Viewpoints for Minimizing Costs Module 2: Design a Solution for Logging and Monitoring -Azure Monitoring Services-Azure Monitor Module 3: Design Authentication -Recommend a Solution for Multi-Factor Authentication-Recommend a Solution for Single-Sign On (SSO)-Five Steps for Securing Identity Infrastructure-Recommend a Solution for a Hybrid Identity-Recommend a Solution for B2B Integration Module 4: Design Authorization -Infrastructure Protection-Recommend a Hierarchical Structure for Management Groups, Subscriptions and Resource Groups Module 5: Design Governance -Recommend a Solution for using Azure Policy-Recommend a Solution for using Azure Blueprint Module 6: Design Security for Applications -Recommend a Solution using KeyVault-Recommend a Solution using Azure AD Managed Identities Module 7: Design a Solution for Databases Select an Appropriate Data Platform Based on RequirementsOverview of Azure Data StorageRecommend Database Service Tier SizingDynamically Scale Azure SQL Database and Azure SQL Managed InstancesRecommend a Solution for Encrypting Data at Rest, Transmission, and In Use Module 8: Design Data Integration -Recommend a Data Flow-Recommend a Solution for Data Integration Module 9: Select an Appropriate Storage Account -Understanding Storage Tiers-Recommend a Storage Access Solution-Recommend Storage Management Tools Module 10: Design a Solution for Backup and Recovery -Recommend a Recovery Solution for Hybrid and On-Premises Workloads-Design and Azure Site Recovery Solution-Recommend a Solution for Recovery in Different Regions-Recommend a Solution for Azure Backup Management-Design a Solution for Data Archiving and Retention Module 11: Design for High Availability -Recommend a Solution for Application and Workload Redundancy-Recommend a Solution for Autoscaling-Identify Resources that Require High Availability-Identify Storage Tpes for High Availability-Recommend a Solution for Geo-Redundancy of Workloads Module 12: Design a Compute Solution -Recommend a Solution for Compute Provisioning-Determine Appropriate Compute Technologies-Recommend a Solution for Containers-Recommend a Solution for Automating Compute Management Module 13: Design a Network Solution -Recommend a Solution for Network Addressing and Name Resolution-Recommend a Solution for Network Provisioning-Recommend a Solution for Network Security-Recommend a Solution for iInternete Connectivity and On-Premises Networks,-Recommend a Solution for Automating Network Management-Recommend a Solution for Load Balancing and Rraffic Routing Module 14: Design an Application Architecture -Recommend a Microservices Architecture-Recommend an Orchestration Solution for Deployment of Applications-Recommend a Solution for API Integration Module 15: Design Migrations -Assess and On-Premises Servers and Applications for Migration-Recommend a Solution for Migrating Applications and VMs-Recommend a Solution for Migration of Databases [-]
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Nettstudie 1 semester 4 980 kr
På forespørsel
Datamaskinarkitektur: De viktigste komponentene og deres virkemåte og oppbygging: CPU, buss, lagerteknologier (cache og ulike typer primær- og sekundærlager), kontrollere... [+]
  Studieår: 2013-2014   Gjennomføring: Vår Antall studiepoeng: 5.0 Forutsetninger: Ingen Innleveringer: For å kunne gå opp til eksamen må 8 utvalgte øvingsoppgaver være godkjente. Det settes krav til at studenten har tilgang til en PC som kan brukes til praktiske maskinvare- og programvareendringer for å trene på feildiagnostisering og feilretting. Maskinen kan gjerne være en eldre og utdatert maskin, men den må virke. Personlig veileder: ja Vurderingsform: Skriftlig eksamen, individuell, 3 timer. Ansvarlig: Geir Ove Rosvold Eksamensdato: 20.12.13 / 23.05.14         Læremål: KUNNSKAPER:Kandidaten:- har innsikt i datamaskinens virkemåte både fra et teoretisk og praktisk ståsted- kjenner godt til de enkelte komponenter i datamaskinen og hvordan de virker sammen- kjenner til de grunnleggende matematikk- og informatikktema (tallsystemer, datarepresentasjon, lokalitet) som er relevante for emnets tekniske hovedtemaer FERDIGHETER:Kandidaten:- kan gjøre nytte av sine teoretiske kunnskaper inne emnets tema i relevant praktisk problemløsing- kan optimalisere, oppgradere og holde ved like en datamaskin, samt diagnostisere, feilsøke og reparere en datamaskin ved de vanligste feilsituasjoner GENERELL KOMPETANSE:Kandidaten:- har kompetanse til selvstendig både å formidle og å ta i bruk sine kunnskaper og ferdigheter innen emnets tema- kan i en praktisk driftssituasjon, forklare og gjøre bruk av sin kunnskap både innen hvert enkelt tema i faget og på tvers av temaene Innhold:Datamaskinarkitektur: De viktigste komponentene og deres virkemåte og oppbygging: CPU, buss, lagerteknologier (cache og ulike typer primær- og sekundærlager), kontrollere og io-utstyr, avbruddsmekanismen, DMA, brikkesett og moderne systemarkitektur, ulike maskinklasser. Prosessorarkitektur: Pipeline, superskalaritet, dynamisk utføring, mikrooperasjoner, kontrollenheten, hardkoding kontra mikroprogrammering, RISC og CISC. Teori-tema: Tallsystemer. Datarepresentasjon og -aritmetikk. Buss- og lagerhierarki. Cache og lokalitet. Høynivåspråk kontra assembly. Praktisk driftsarbeid: Kabinett, hovedkort, ulike prosessorer, buss, RAM, cache, BIOS. Lyd-, nettverks-og skjermkort. Sekundærminne (Harddisk, CD-ROM, DVD, tape og andre typer). Avbruddsmekanismen, I/O, DMA og busmastering. Å oppdage og rette feil. Boot-prosessen. Formatering, partisjonering.Les mer om faget her [-]
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Nettkurs 375 kr
I dette kurset gir Inga Strümke deg en innføring i hva kunstig intelligens er, og hva du bør tenke på når din bedrift skal ta i bruk kunstig intelligens. [+]
Inga Strümke gir deg en innføring i kunstig intelligens og maskinlæring som gjør det lettere å ta bedre beslutninger. Kunstig intelligens (AI) er mer i vinden enn noensinne, men visste du at det har eksistert som akademisk fagfelt siden 1950-tallet? I dette kurset får du en innføring i hva kunstig intelligens egentlig er for noe, hvordan det brukes i dag og hvordan du kan anvende det for å ta bedre beslutninger. Du lærer om maskinlæring og nevrale nettverk, og hvordan dyp læring brukes til komplekse problemer som språkforståelse og bildegjenkjenning. Du får innsikt i fallgruver, hvorfor de oppstår og hvordan de kan unngås, og ikke minst – hva du bør tenke på når din bedrift skal ta i bruk kunstig intelligens.  HVA VIL DU LÆRE: Kunstig intelligens Maskinlæring, dyp læring og nevrale nettverk Data Bildegjenkjenning og språkforståelse Proxyvariabler og korrelasjon i modeller Forklaringer: Hva og for hvem? Integrering i bedriften Leksjoner Introduksjon til kurset Innføring i kunstig intelligens og algoritmer Maskinlæring Data  Nevrale nettverk og dyp læring Bildegjenkjenning Språkmodeller Proxy-variabler og et eksempel fra forsikring Korrelasjon og kausalitet  Forklaring - hva og for hvem? Eksempler på bruk Helhetlig integrering  Oppsummering [-]
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Oslo 5 dager 30 000 kr
22 Apr
22 Apr
https://www.glasspaper.no/kurs/dp-203-data-engineering-on-microsoft-azure/ [+]
DP-203: Data Engineering on Microsoft Azure [-]
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Virtuelt klasserom 2 dager 15 000 kr
This course will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. The course can be taken as an optional f... [+]
The course will cover general cloud computing concepts as well as general cloud computing models and services such as Public, Private and Hybrid cloud and Infrastructure-as-a-Service (IaaS), Platform-as-a-Service(PaaS) and Software-as-a-Service (SaaS). It will also cover some core Azure services and solutions, as well as key Azure pillar services concerning security, privacy, compliance and trust. It will finally cover pricing and support services available.   Agenda Module 1: Cloud Concepts -Learning Objectives-Why Cloud Services?-Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS)-Public, Private, and Hybrid cloud models Module 2: Core Azure Services -Core Azure architectural components-Core Azure Services and Products-Azure Solutions-Azure management tools Module 3: Security, Privacy, Compliance and Trust -Securing network connectivity in Azure-Core Azure Identity services-Security tools and features-Azure governance methodologies-Monitoring and Reporting in Azure-Privacy, Compliance and Data Protection standards in Azure Module 4: Azure Pricing and Support -Azure subscriptions-Planning and managing costs-Support options available with Azure-Service lifecycle in Azure [-]
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Oslo 1 dag 9 500 kr
06 May
06 May
03 Jun
AI-050: Develop Generative AI Solutions with Azure OpenAI Service [+]
AI-050: Develop Generative AI Solutions with Azure OpenAI Service [-]
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