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34 treff ( i Sentrum ) i IT kompetanse
 

5 000 kr
5G Security [+]
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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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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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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 3 dager 20 000 kr
In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premi... [+]
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. Agenda 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. 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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Nettstudie 1 semester 4 980 kr
På forespørsel
Utviklingsprosesser. Modellering. UML. Verktøy. Objektorientert analyse Objektorientert design. Bruk av arkitektoniske stiler og design mønstre. Implementasjon og test. [+]
Studieår: 2013-2014   Gjennomføring: Høst Antall studiepoeng: 5.0 Forutsetninger: Erfaring fra et objektorientert programmeringsspråk, kjennskap til prosjektarbeid Innleveringer: Innleverte øvinger. Det blir gitt 10 øvinger, 8 må være godkjent for å kunne gå opp til eksamen. Personlig veileder: ja Vurderingsform: 4 timer skriftlig eksamen. Ansvarlig: Tore Berg Hansen Eksamensdato: 12.12.13         Læremål: Forventet læringsutbytte:Etter å ha gjennomført emnet Objektorientert systemutvikling skal studenten ha følgende samlete læringsutbytte: KUNNSKAPER:Kandidaten:- kan definere, gjenkjenne og forklare de grunnleggende konsepter for utvikling av store programvaresystemer basert på det objektorienterte paradigme- argumentere for betydningen av å følge en prosessmodell- argumentere for fordelene med smidige prosesser- argumentere for modellbasert utvikling- beskrive modellene som brukes i objektorientert systemutvikling og hvordan de henger sammen- forklare begrepene arkitektoniske stiler og designmønstre FERDIGHETER:Kandidaten:- kan demonstrere den systematiske gangen fra krav, via arkitektonisk og detaljert design, til ferdig kodet og implementert system GENERELL KOMPETANSE:Kandidaten:- er klar over at utvikling av store programvaresystemer er ingeniørarbeid- er seg bevisst at utvikling av komplekse programvaresystemer krever koordinert innsats av et velfungerende team som følger en definert, smidig prosess- er opptatt av tett kontakt med alle interessenter for å oppnå et godt resultat Innhold:Utviklingsprosesser. Modellering. UML. Verktøy. Objektorientert analyse Objektorientert design. Bruk av arkitektoniske stiler og design mønstre. Implementasjon og test.Les mer om faget her Påmeldingsfrist: 25.08.13 / 25.01.14         Dette faget går: Høst 2013    Fag Objektorientert systemutvikling 4980,-         Semesteravgift og eksamenskostnader kommer i tillegg.    [-]
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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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4 dager 4 865 kr
På forespørsel
Modul Operate omhandler nettverk og relaterte kommunikasjonstjenester innen en IT-infrastruktur, samt vedlikehold og brukerproblemstillinger i forhold til tjenestetilbude... [+]
Kursinnhold• Hardwarekomponenter og arkitektur• Operativsystemer  • Kommunikasjon og nettverk• Nettverkstjenester• Trådløs og mobil databehandling• Nettverksadministrasjon• Service og support   UndervisningsformKlasseromsundervisning med prosjektor hvor deltakerne får tildelt PC med nødvendig programvare installert. Praktisk trening med øvingsoppgaver for å aktivisere kunnskapen.   InstruktørerVi har erfarne instruktørene med høy kompetanse, lang erfaring og dyktige pedagogiske evner.   MålsetningModul Operate omhandler nettverk og relaterte kommunikasjonstjenester innen en IT- infrastruktur, samt vedlikehold og brukerproblemstillinger i forhold til tjenestetilbudet. Modulen krever at kandidaten skal kjenne til hardware komponenter, dataarkitekturer og forskjellige operativsystemer. Kandidaten skal også skille mellom ulike nivåer av kommunikasjonsprotokoller, og deres bruk i både kablede og trådløse nettverksteknologier. Dessuten skal kandidaten forstå Simple Network Management Protocol (SNMP), e-post og webtjenester, og de tilhørende sikkerhetstrusler og mottiltak. Kandidaten skal forstå betydningen av en klient-orientert tilnærming til IT-støtte, og kunne benytte noen av de grunnleggende prinsipper for IT-support.. [-]
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Oslo Bergen Og 1 annet sted 2 dager 16 900 kr
25 Apr
25 Apr
06 Jun
Modern Service Oriented Architecture [+]
Modern Service Oriented Architecture [-]
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Oslo 5 dager 35 000 kr
22 Apr
22 Apr
10 Jun
CEH: Certified Ethical Hacker v12 [+]
CEH: Certified Ethical Hacker v12 [-]
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3 dager 4 515 kr
På forespørsel
Kandidaten skal bl.a. kunne begrunne IT-investeringer og få kjennskap til noen av de juridiske og etiske aspekter ved bruken av IT [+]
Kursinnhold• Organisasjoner og bruk av IT• IT- ledelse  • Verdsettelse av IT• Den globale nettverksøkonomien• Prosjektledelse• Samarbeid og kommunikasjon• Juridiske og etiske problemstillinger   UndervisningsformKlasseromsundervisning med prosjektor hvor deltakerne får tildelt PC med nødvendig programvare installert. Praktisk trening med øvingsoppgaver for å aktivisere kunnskapen.   InstruktørerVi har erfarne instruktørene med høy kompetanse, lang erfaring og dyktige pedagogiske evner.   MålsetningModul Plan, ser på organisasjoner og deres bruk av IT, både som en tilrettelegger for effektive informasjonsystemer, og som en plattform for innovasjon. Modulen krever at kandidaten skal ha en grundig forståelse av organisasjoner, deres strategier og forretningsprosesser, samt de globale trender og muligheter som er involvert. Kandidaten skal kjenne igjen de viktigste problemstillinger knyttet til styringen av IT, som for eksempel å velge riktig teknologi, eller å velge mellom utvikling av interne systemer eller outsourcing. Kandidaten skal også kunne begrunne IT-investeringer og få kjennskap til noen av de juridiske og etiske aspekter ved bruken av IT. Kandidaten skal bli oppmerksomm på kravet om en profesjonell tilnærming til prosjektledelse og kvalitetsikring. Kandidaten skal også forstå betydningen av teambygging og effektivt kommunikasjon når man presenterer sin analyse eller beslutning for organisasjonen. [-]
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1 dag 8 000 kr
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. [+]
COURSE OVERVIEW The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth. TARGET AUDIENCE The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. COURSE OBJECTIVES  After completing this course, you will be able to: Describe Artificial Intelligence workloads and considerations Describe fundamental principles of machine learning on Azure Describe features of computer vision workloads on Azure Describe features of Natural Language Processing (NLP) workloads on Azure Describe features of conversational AI workloads on Azure   COURSE CONTENT Module 1: Introduction to AI In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development. Artificial Intelligence in Azure Responsible AI After completing this module you will be able to Describe Artificial Intelligence workloads and considerations Module 2: Machine Learning Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models. Introduction to Machine Learning Azure Machine Learning After completing this module you will be able to Describe fundamental principles of machine learning on Azure Module 3: Computer Vision Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services. Computer Vision Concepts Computer Vision in Azure After completing this module you will be able to Describe features of computer vision workloads on Azure Module 4: Natural Language Processing This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands. After completing this module you will be able to Describe features of Natural Language Processing (NLP) workloads on Azure Module 5: Conversational AI Conversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions. Conversational AI Concepts Conversational AI in Azure After completing this module you will be able to Describe features of conversational AI workloads on Azure   TEST CERTIFICATION Recommended as preparation for the following exams: Exam AI-900: Microsoft Azure AI Fundamentals. HVORFOR VELGE SG PARTNER AS:  Flest kurs med Startgaranti Rimeligste kurs Beste service og personlig oppfølgning Tilgang til opptak etter endt kurs Partner med flere av verdens beste kursleverandører [-]
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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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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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