Oversikt over relevante kurs innen IT-kurs i Västerås kommune

Kurset fokuserer på integrering av forskjellige verdistrømmer og aktiviteter for å lage, levere og støtte IT-aktiverte produkter og tjenester, samtidig som den dekker støtte for praksis, metoder og verktøy. Kurset gir kandidatene forståelse for tjenestekvalitet og forbedringsmetoder. E-læringskurset inneholder 18 timer med undervisning, og er delt inn i 8 moduler. Les mer om ITIL® 4 på AXELOS sine websider. Inkluderer: Tilgang til ITIL® 4 Specialist: Create, Deliver and Support e-læring (engelsk) i 12 måneder. ITIL® 4 Specialist: Create, Deliver and Support online voucher til sertifiseringstest.   ITIL®/PRINCE2®/MSP®/MoP® are registered trademarks of AXELOS Limited, used under permission of AXELOS Limited. All rights reserved. [-]

Du vil få tilsendt en «Core guidance» bok og sertifiserings-voucher slik at du kan ta sertifiseringstesten for eksempel hjemme eller på jobb. Denne vil være gyldig i ett år. Tid for sertifiseringstest avtales som beskrevet i e-post med voucher. Eksamen overvåkes av en web-basert eksamensvakt.   Eksamen er på engelsk. Eksamensformen er multiple choice - 50 spørsmål skal besvares, og du består ved 50% korrekte svar (dvs 25 av 50 spørsmål). Deltakerne har 40 minutter til rådighet på eksamen.  Ingen hjelpemidler er tillatt.   Nødvendige forkunnskaper: Ingen [-]

Oppdag kraften i Microsoft Excel med "Excel: Grunnleggende", et detaljert kurs ledet av Espen Faugstad hos Utdannet.no. Microsoft Excel er et essensielt verktøy for dataanalyse og regnearkbehandling, brukt i en rekke yrker og bransjer. Dette kurset er skreddersydd for å gi deg en solid forståelse av Excel, gjør deg i stand til å bruke programmet effektivt og med selvtillit. Kurset starter med de grunnleggende aspektene av Excel, inkludert navigering i brukergrensesnittet, bruk av hurtigtilgang, båndet, formellinjen og statuslinjen. Du vil lære å legge til og håndtere data, bruke formler og funksjoner for ulike beregninger som summering, gjennomsnitt, maksimum, minimum og mer. I tillegg vil du utforske hvordan du formaterer celler og bruker diagrammer for å presentere data på en visuell og tiltalende måte. Kurset dekker også hvordan du effektivt kan arbeide med arbeidsark og eksportere data. Ved kursets slutt vil du ha en grundig forståelse av Excel og være i stand til å bruke dets mange funksjoner for å utføre en rekke oppgaver, fra enkle beregninger til kompleks dataanalyse.   Innhold: Kapittel 1: Brukergrensesnitt Kapittel 2: Legg til data Kapittel 3: Formler og funksjoner Kapittel 4: Formatere Kapittel 5: Diagrammer Kapittel 6: Arbeidsark Kapittel 7: Eksportere Kapittel 8: Avslutning   Varighet: 2 timer og 15 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Tjenesten fungerer på samme måte som strømmetjenester for musikk eller TV-serier. Våre kunder betaler en fast månedspris og får tilgang til alle kursene som er produsert så langt. Plattformen har hatt en god vekst de siste årene og kan skilte med 30.000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling moro, spennende og tilgjengelig for alle – og med oss har vi Innovasjon Norge og Forskningsrådet. [-]

Studieår: 2013-2014   Gjennomføring: Høst og vår Antall studiepoeng: 5.0 Forutsetninger: Grunnleggende kunnskaper i HTML, CSS og programmering. Dette tilsvarer Webutvikling 1 og et vilkårlig programmeringsemne. Innleveringer: For å kunne gå opp til eksamen må 5 av 8 obligatoriske øvingsoppgaver være godkjent. Personlig veileder: ja Vurderingsform: Karakteren settes på grunnlag av større øving/case (60 %) og flervalgseksamen på nett (40 %). Netteksamen varer 1 t. Begge deler må være bestått. klageadgang i emnet gjelder hver enkelt vurderingsdel. Ansvarlig: Tore Mallaug Eksamensdato: 11.12.13 / 14.05.14         Læremål: KUNNSKAPER:Kandidaten:- forstår hvordan et nettsted er delt i funksjonalitet som utføres på tjeneren og funksjonalitet som utføres i nettleseren- kjenner til aktuelle teknologier som kan anvendes for å konstruere et nettsted FERDIGHETER:Kandidaten:- kan utvikle utvikle nettsteder med logikk på både klient- og tjenerside- kan å utvikle et komplett nettsted basert på en kombinasjon av tredjepartskomponenter og egen kode/design- har grunnleggende kunnskap i PHP og JavaScript- kan teknikker for å utveksle data med andre parter på Internett GENERELL KOMPETANSE:Kandidaten:- kan identifisere potensielle sikkerhetsmessige svakheter i en webløsning og iverksette gode sikkerhetstiltak Innhold:Installasjon av webserver med scriptspråk og database. PHP, tilstandsbevaring (sesjonshåndtering), JavaScript, Ajax, web på mobile enheter, avansert innhold (lyd, video, 3D, m.m.), bruk av tredjeparts datakilder (web services m.m.), sikkerhet i webapplikasjoner, komponentbasert webutvikling.Les mer om faget her Påmeldingsfrist: 25.08.13 / 25.01.14         Velg semester:  Høst 2013    Vår 2014     Fag Webutvikling 2 4980,-         Semesteravgift og eksamenskostnader kommer i tillegg.    [-]

COURSE OVERVIEW These professionals manage and support an infrastructure that includes on-premises and Azure IaaS-hosted Windows Server-based workloads. The course teaches IT professionals how to leverage the hybrid capabilities of Azure, how to migrate virtual and physical server workloads to Azure IaaS, and how to manage and secure Azure VMs running Windows Server. The course also covers how to perform tasks related to high availability, troubleshooting, and disaster recovery. The course highlights various administrative tools and technologies including Windows Admin Center, PowerShell, Azure Arc, Azure Automation Update Management, Microsoft Defender for Identity, Azure Security Center, Azure Migrate, and Azure Monitor. TARGET AUDIENCE This four-day course is intended for Windows Server Hybrid Administrators who have experience working with Windows Server and want to extend the capabilities of their on-premises environments by combining on-premises and hybrid technologies. Windows Server Hybrid Administrators who already implement and manage on-premises core technologies want to secure and protect their environments, migrate virtual and physical workloads to Azure Iaas, enable a highly available, fully redundant environment, and perform monitoring and troubleshooting. COURSE OBJECTIVES After you complete this course you will be able to: Harden the security configuration of the Windows Server operating system environment. Enhance hybrid security using Azure Security Center, Azure Sentinel, and Windows Update Management. Apply security features to protect critical resources. Implement high availability and disaster recovery solutions. Implement recovery services in hybrid scenarios. Plan and implement hybrid and cloud-only migration, backup, and recovery scenarios. Perform upgrades and migration related to AD DS, and storage. Manage and monitor hybrid scenarios using WAC, Azure Arc, Azure Automation and Azure Monitor. Implement service monitoring and performance monitoring, and apply troubleshooting. COURSE CONTENT Module 1: Windows Server security This module discusses how to protect an Active Directory environment by securing user accounts to least privilege and placing them in the Protected Users group. The module covers how to limit authentication scope and remediate potentially insecure accounts. The module also describes how to harden the security configuration of a Windows Server operating system environment. In addition, the module discusses the use of Windows Server Update Services to deploy operating system updates to computers on the network. Finally, the module covers how to secure Windows Server DNS to help protect the network name resolution infrastructure. Lessons for module 1 Secure Windows Sever user accounts Hardening Windows Server Windows Server Update Management Secure Windows Server DNS Lab : Configuring security in Windows Server Configuring Windows Defender Credential Guard Locating problematic accounts Implementing LAPS After completing module 1, students will be able to: Diagnose and remediate potential security vulnerabilities in Windows Server resources. Harden the security configuration of the Windows Server operating system environment. Deploy operating system updates to computers on a network by using Windows Server Update Services. Secure Windows Server DNS to help protect the network name resolution infrastructure. Implement DNS policies. Module 2: Implementing security solutions in hybrid scenarios This module describes how to secure on-premises Windows Server resources and Azure IaaS workloads. The module covers how to improve the network security for Windows Server infrastructure as a service (IaaS) virtual machines (VMs) and how to diagnose network security issues with those VMs. In addition, the module introduces Azure Security Center and explains how to onboard Windows Server computers to Security Center. The module also describes how to enable Azure Update Management, deploy updates, review an update assessment, and manage updates for Azure VMs. The modules explains how Adaptive application controls and BitLocker disk encryption are used to protect Windows Server IaaS VMs. Finally, the module explains how to monitor Windows Server Azure IaaS VMs for changes in files and the registry, as well as monitoring modifications made to application software. Lessons for module 2 Implement Windows Server IaaS VM network security. Audit the security of Windows Server IaaS Virtual Machines Manage Azure updates Create and implement application allowlists with adaptive application control Configure BitLocker disk encryption for Windows IaaS Virtual Machines Implement change tracking and file integrity monitoring for Windows Server IaaS VMs Lab : Using Azure Security Center in hybrid scenarios Provisioning Azure VMs running Windows Server Configuring Azure Security Center Onboarding on-premises Windows Server into Azure Security Center Verifying the hybrid capabilities of Azure Security Center Configuring Windows Server 2019 security in Azure VMs After completing module 2, students will be able to: Diagnose network security issues in Windows Server IaaS virtual machines. Onboard Windows Server computers to Azure Security Center. Deploy and manage updates for Azure VMs by enabling Azure Automation Update Management. Implement Adaptive application controls to protect Windows Server IaaS VMs. Configure Azure Disk Encryption for Windows IaaS virtual machines (VMs). Back up and recover encrypted data. Monitor Windows Server Azure IaaS VMs for changes in files and the registry. Module 3: Implementing high availability This module describes technologies and options to create a highly available Windows Server environment. The module introduces Clustered Shared Volumes for shared storage access across multiple cluster nodes. The module also highlights failover clustering, stretch clusters, and cluster sets for implementing high availability of Windows Server workloads. The module then discusses high availability provisions for Hyper-V and Windows Server VMs, such as network load balancing, live migration, and storage migration. The module also covers high availability options for shares hosted on Windows Server file servers. Finally, the module describes how to implement scaling for virtual machine scale sets and load-balanced VMs, and how to implement Azure Site Recovery. Lessons for module 3 Introduction to Cluster Shared Volumes. Implement Windows Server failover clustering. Implement high availability of Windows Server VMs. Implement Windows Server File Server high availability. Implement scale and high availability with Windows Server VMs. Lab : Implementing failover clustering Configuring iSCSI storage Configuring a failover cluster Deploying and configuring a highly available file server Validating the deployment of the highly available file server After completing module 3, students will be able to: Implement highly available storage volumes by using Clustered Share Volumes. Implement highly available Windows Server workloads using failover clustering. Describe Hyper-V VMs load balancing. Implement Hyper-V VMs live migration and Hyper-V VMs storage migration. Describe Windows Server File Server high availablity options. Implement scaling for virtual machine scale sets and load-balanced VMs. Implement Azure Site Recovery. Module 4: Disaster recovery in Windows Server This module introduces Hyper-V Replica as a business continuity and disaster recovery solution for a virtual environment. The module discusses Hyper-V Replica scenarios and use cases, and prerequisites to use it. The module also discusses how to implement Azure Site Recovery in on-premises scenarios to recover from disasters. Lessons for module 4 Implement Hyper-V Replica Protect your on-premises infrastructure from disasters with Azure Site Recovery Lab : Implementing Hyper-V Replica and Windows Server Backup Implementing Hyper-V Replica Implementing backup and restore with Windows Server Backup After completing module 4, students will be able to: Describe Hyper-V Replica, pre-requisites for its use, and its high-level architecture and components Describe Hyper-V Replica use cases and security considerations. Configure Hyper-V Replica settings, health monitoring, and failover options. Describe extended replication. Replicate, failover, and failback virtual machines and physical servers with Azure Site Recovery. Module 5: Implementing recovery services in hybrid scenarios This module covers tools and technologies for implementing disaster recovery in hybrid scenarios, whereas the previous module focus on BCDR solutions for on-premises scenarios. The module begins with Azure Backup as a service to protect files and folders before highlighting how to implementRecovery Vaults and Azure Backup Policies. The module describes how to recover Windows IaaS virtual machines, perform backup and restore of on-premises workloads, and manage Azure VM backups. The modules also covers how to provide disaster recovery for Azure infrastructure by managing and orchestrating replication, failover, and failback of Azure virtual machines with Azure Site Recovery. Lessons for module 5 Implement hybrid backup and recovery with Windows Server IaaS Protect your Azure infrastructure with Azure Site Recovery Protect your virtual machines by using Azure Backup Lab : Implementing Azure-based recovery services Implementing the lab environment Creating and configuring an Azure Site Recovery vault Implementing Hyper-V VM protection by using Azure Site Recovery vault Implementing Azure Backup After completing module 5, students will be able to: Recover Windows Server IaaS virtual machines by using Azure Backup. Use Azure Backup to help protect the data for on-premises servers and virtualized workloads. Implement Recovery Vaults and Azure Backup policies. Protect Azure VMs with Azure Site Recovery. Run a disaster recovery drill to validate protection. Failover and failback Azure virtual machines. Module 6: Upgrade and migrate in Windows Server This module discusses approaches to migrating Windows Server workloads running in earlier versions of Windows Server to more current versions. The module covers the necessary strategies needed to move domain controllers to Windows Server 2022 and describes how the Active Directory Migration Tool can consolidate domains within a forest or migrate domains to a new AD DS forest. The module also discusses the use of Storage Migration Service to migrate files and files shares from existing file servers to new servers running Windows Server 2022. Finally, the module covers how to install and use the Windows Server Migration Tools cmdlets to migrate commonly used server roles from earlier versions of Windows Server. Lessons for module 6 Active Directory Domain Services migration Migrate file server workloads using Storage Migration Service Migrate Windows Server roles Lab : Migrating Windows Server workloads to IaaS VMs Deploying AD DS domain controllers in Azure Migrating file server shares by using Storage Migration Service After completing module 6, students will be able to: Compare upgrading an AD DS forest and migrating to a new AD DS forest. Describe the Active Directory Migration Tool (ADMT). Identify the requirements and considerations for using Storage Migration Service. Describe how to migrate a server with storage migration. Use the Windows Server Migration Tools to migrate specific Windows Server roles. Module 7: Implementing migration in hybrid scenarios This module discusses approaches to migrating workloads running in Windows Server to an infrastructure as a service (IaaS) virtual machine. The module introduces using Azure Migrate to assess and migrate on-premises Windows Server instances to Microsoft Azure. The module also covers how migrate a workload running in Windows Server to an infrastructure as a service (IaaS) virtual machine (VM) and to Windows Server 2022 by using Windows Server migration tools or the Storage Migration Service. Finally, this module describes how to use the Azure Migrate App Containerization tool to containerize and migrate ASP.NET applications to Azure App Service. Lessons for module 7 Migrate on-premises Windows Server instances to Azure IaaS virtual machines Upgrade and migrate Windows Server IaaS virtual machines Containerize and migrate ASP.NET applications to Azure App Service Lab : Migrating on-premises VMs servers to IaaS VMs Implementing assessment and discovery of Hyper-V VMs using Azure Migrate Implementing migration of Hyper-V workloads using Azure Migrate After completing module 7, students will be able to: Plan a migration strategy and choose the appropriate migration tools. Perform server assessment and discovery using Azure Migrate. Migrate Windows Server workloads to Azure VM workloads using Azure Migrate. Explain how to migrate workloads using Windows Server Migration tools. Migrate file servers by using the Storage Migration Service. Discover and containerize ASP.NET applcations running on Windows. Migrate a containerized application to Azure App Service. Module 8: Server and performance monitoring in Windows Server This module introduces a range of tools to monitor the operating system and applications on a Windows Server computer as well as describing how to configure a system to optimize efficiency and to troublshoot problems. The module covers how Event Viewer provides a convenient and accessible location for observing events that occur, and how to interpret the data in the event log. The module also covers how to audit and diagnose a Windows Server environment for regulatory compliance, user activity, and troubleshooting. Finally, the module explains how to troubleshoot AD DS service failures or degraded performance, including recovery of deleted objects and the AD DS database, and how to troubleshoot hybrid authentication issues. Lessons for module 8 Monitor Windows Server performance Manage and monitor Windows Server event logs Implement Windows Server auditing and diagnostics Troubleshoot Active Directory Lab : Monitoring and troubleshooting Windows Server Establishing a performance baseline Identifying the source of a performance problem Viewing and configuring centralized event logs After completing module 8, students will be able to: Explain the fundamentals of server performance tuning. Use built-in tools in Windows Server to monitor server performance. Use Server Manager and Windows Admin Center to review event logs. Implement custom views. Configure an event subscription. Audit Windows Server events. Configure Windows Server to record diagnostic information. Recover the AD DS database and objects in AD DS. Troubleshoot AD DS replication. Troubleshoot hybrid authentication issues. Module 9: Implementing operational monitoring in hybrid scenarios This module covers using monitoring and troubleshooing tools, processes, and best practices to streamline app performance and availabilty of Windows Server IaaS VMs and hybrid instances. The module describes how to implement Azure Monitor for IaaS VMs in Azure, implement Azure Monitor in on-premises environments, and use dependency maps. The module then explains how to enable diagnostics to get data about a VM, and how to view VM metrics in Azure Metrics Explorer, and how to create a metric alert to monitor VM performance. The module then covers how to monitor VM performance by using Azure Monitor VM Insights. The module then describes various aspects of troubleshooting on premises and hybrid network connectivity, including how to diagnose common issues with DHCP, name resolution, IP configuration, and routing. Finally, the module examines how to troubleshoot configuration issues that impact connectivity to Azure-hosted Windows Server virtual machines (VMs), as well as approaches to resolve issues with VM startup, extensions, performance, storage, and encryption. Lessons for module 9 Monitor Windows Server IaaS Virtual Machines and hybrid instances Monitor the health of your Azure virtual machines by using Azure Metrics Explorer and metric alerts Monitor performance of virtual machines by using Azure Monitor VM Insights Troubleshoot on-premises and hybrid networking Troubleshoot Windows Server Virtual Machines in Azure Lab : Monitoring and troubleshooting of IaaS VMs running Windows Server Enabling Azure Monitor for virtual machines Setting up a VM with boot diagnostics Setting up a Log Analytics workspace and Azure Monitor VM Insights After completing module 9, students will be able to: Implement Azure Monitor for IaaS VMs in Azure and in on-premises environments. Implement Azure Monitor for IaaS VMs in Azure and in on-premises environments. View VM metrics in Azure Metrics Explorer. Use monitoring data to diagnose problems. Evaluate Azure Monitor Logs and configure Azure Monitor VM Insights. Configure a Log Analytics workspace. Troubleshoot on-premises connectivity and hybrid network connectivity. Troubleshoot AD DS service failures or degraded performance. Recover deleted security objects and the AD DS database. Troubleshoot hybrid authentication issues. [-]

Studieår: 2013-2014   Gjennomføring: Høst Antall studiepoeng: 5.0 Forutsetninger: Programmeringserfaring i et eller flere objektorienterte programmeringsspråk Innleveringer: 8 bestemte øvinger kreves godkjent for å få gå opp til eksamen. Personlig veileder: ja Vurderingsform: 4 timer skriftlig eksamen. Ansvarlig: Else Lervik Eksamensdato: 05.12.13         Læremål: KUNNSKAPERKandidaten:- kan definere begrepene pekere og referanser og forholdet mellom pekere og tabeller- kan redegjøre for hva konstruktører og destruktører er, og kan forklare når det er nødvendig å lage dem.- kan gjøre rede for «overloading» av operatorer- kan forklare begrepet «templates» og hvordan det brukes- kan forklare behovet for Standard Template Library og hva det inneholder- kan forklare bruken av RTTI og Exceptions FERDIGHETER:Kandidaten:- kan lage programmer i C++ som demonstrerer bruk av pekere, «overloading», templates, RTTI, exceptions og elementer fra Standard Template Library- kan lage programmer i C++ som bruker pekere og det frie lageret på en forsvarlig måte og med nødvendig opprydding GENERELL KOMPETANSE:Kandidaten:- er opptatt av at som profesjonell yrkesutøver skal man lage programmer som skal lette arbeidet for andre yrkesutøvere eller generelt være til nytte for folk og samfunn Innhold:Adresser og pekere, pekere og tabeller, det frie lageret, operator overloading, konstruktører og destruktører, templates, introduksjon til STL, RTTI og exceptions.Les mer om faget her Påmeldingsfrist: 25.08.13 / 25.01.14         Dette faget går: Høst 2013    Fag C++ for programmerere 4980,-         Semesteravgift og eksamenskostnader kommer i tillegg.    [-]

Lær å formidle informasjon visuelt ved bruk av diagrammer og en annen grafikk i Excel 2013/2016. Få mer kontroll over Excel modellene ved å forstå betydning av formatering. Webinaret kan også spesialtilpasses og holdes bedriftsinternt kun for din bedrift.   Kursinnhold:   Innføring til formatering og utsende Tekst og tall formatering Kopiere og fjerne format Diverse muligheter med diagrammer Sparkline grafikk Betinget formatering Formater som tabell Egendefinert formatering Dato og klokkeslett Vise og skjule innhold fra en celle Håndtere store tall (hele tusen, hele million) [-]

Microsoft 365 Enterprise Administrator Expert (MCE) - Boot Camp [-]

Kursinnhold: De ulike begrepene som blir brukt i Google Analytics Segmentering av brukere i statistikken Hvordan lese relevant statistikk Hva du kan bruke tallene til videre i din markedsføring Hvordan nettsidene dine fungerer og hvor konverteringene kommer fra [-]

Excel for Controllere og Økonomisjefer [-]

Tekst er ikke alltid best egnet til å kommunisere ditt budskap. Dette webinaret viser deg hvordan du enkelt og effektivt benytter figurer, smart art modeller, diagrammer, bilder og video. Du får en rekke tips som vil bidra til at du sparer mye tid.  Webinaret varer i 2 timer og består av to økter à 45 min. Etter hver økt er det 10 min spørsmålsrunde. Mellom øktene er det 10 min pause.  Webinaret kan også spesialtilpasses og holdes bedriftsinternt kun for din bedrift.    Kursinnhold:   Innsetting av ulike objekter Figurer og SmartArt Bilder Video - ha kontroll på avspilling   Bruk av diagrammer Koblinger til Excel Håndtere koblinger   Håndtering av objekter Justere og fordele Fordeler og ulemper ved gruppering   3 gode grunner til å delta 1. Lær og justere og fordele objekter effektivt 2. Lag figurmodeller raskt og enkelt 3. Ha kontroll på koblede objekter   [-]

COURSE OVERVIEW The course includes hands-on experience configuring, managing, and monitoring a firewall in a lab environment TARGET AUDIENCE This course is aimed at Security Engineers, Security Administrators, Security Operations Specialists, Security Analysts, and Support Staff. COURSE OBJECTIVES After you complete this course, you will be able to: Configure and manage the essential features of Palo Alto Networks next-generation firewalls Configure and manage Security and NAT policies to enable approved traffic to and from zones Configure and manage Threat Prevention strategies to block traffic from known and unknown IP addresses, domains, and URLs Monitor network traffic using the interactive web interface and firewall reports COURSE CONTENT 1 - Palo Alto Networks Portfolio and Architecture 2 - Configuring Initial Firewall Settings 3 - Managing Firewall Configurations 4 - Managing Firewall Administrator Accounts 5 - Connecting the Firewall to Production Networks with Security Zones 6 - Creating and Managing Security Policy Rules 7 - Creating and Managing NAT Policy Rules 8 - Controlling Application Usage with App-ID 9 - Blocking Known Threats Using Security Profiles 10 - Blocking Inappropriate Web Traffic with URL Filtering 11 - Blocking Unknown Threats with Wildfire 12 - Controlling Access to Network Resources with User-ID 13 - Using Decryption to Block Threats in Encrypted Traffic 14 - Locating Valuable Information Using Logs and Reports 15 - What's Next in Your Training and Certification Journey Supplemental Materials Securing Endpoints with GlobalProtect Providing Firewall Redundancy with High Availability Connecting Remotes Sites using VPNs Blocking Common Attacks Using Zone Protection   FURTHER INFORMATION Level: Introductory Duration: 5 days Format: Lecture and hands-on labs Platform support: Palo Alto Networks next-generation firewalls running PAN-OS® operating system version 11.0     [-]

Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Objectives This course teaches participants the following skills: Use best practices for application development Choose the appropriate data storage option for application data Implement federated identity management Develop loosely coupled application components or microservices Integrate application components and data sources Debug, trace, and monitor applications Perform repeatable deployments with containers and deployment services Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine Flex All courses will be delivered in partnership with ROI Training, Google Cloud Premier Partner, using a Google Authorized Trainer. Course Outline Module 1: Best Practices for Application Development -Code and environment management-Design and development of secure, scalable, reliable, loosely coupled application components and microservices-Continuous integration and delivery-Re-architecting applications for the cloud Module 2: Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK -How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK-Lab: Set up Google Client Libraries, Google Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials Module 3: Overview of Data Storage Options -Overview of options to store application data-Use cases for Google Cloud Storage, Google Cloud Datastore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner Module 4: Best Practices for Using Cloud Datastore -Best practices related to the following:-Queries-Built-in and composite indexes-Inserting and deleting data (batch operations)-Transactions-Error handling-Bulk-loading data into Cloud Datastore by using Google Cloud Dataflow-Lab: Store application data in Cloud Datastore Module 5: Performing Operations on Buckets and Objects -Operations that can be performed on buckets and objects-Consistency model-Error handling Module 6: Best Practices for Using Cloud Storage -Naming buckets for static websites and other uses-Naming objects (from an access distribution perspective)-Performance considerations-Setting up and debugging a CORS configuration on a bucket-Lab: Store files in Cloud Storage Module 7: Handling Authentication and Authorization -Cloud Identity and Access Management (IAM) roles and service accounts-User authentication by using Firebase Authentication-User authentication and authorization by using Cloud Identity-Aware Proxy-Lab: Authenticate users by using Firebase Authentication Module 8: Using Google Cloud Pub/Sub to Integrate Components of Your Application -Topics, publishers, and subscribers-Pull and push subscriptions-Use cases for Cloud Pub/Sub-Lab: Develop a backend service to process messages in a message queue Module 9: Adding Intelligence to Your Application -Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API Module 10: Using Cloud Functions for Event-Driven Processing -Key concepts such as triggers, background functions, HTTP functions-Use cases-Developing and deploying functions-Logging, error reporting, and monitoring Module 11: Managing APIs with Google Cloud Endpoints -Open API deployment configuration-Lab: Deploy an API for your application Module 12: Deploying an Application by Using Google Cloud Build, Google Cloud Container Registry, and Google Cloud Deployment Manager -Creating and storing container images-Repeatable deployments with deployment configuration and templates-Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments Module 13: Execution Environments for Your Application -Considerations for choosing an execution environment for your application or service:-Google Compute Engine-Kubernetes Engine-App Engine flexible environment-Cloud Functions-Cloud Dataflow-Lab: Deploying your application on App Engine flexible environment Module 14: Debugging, Monitoring, and Tuning Performance by Using Google Stackdriver -Stackdriver Debugger-Stackdriver Error Reporting-Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting-Stackdriver Logging-Key concepts related to Stackdriver Trace and Stackdriver Monitoring.-Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance [-]

Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms TARGET AUDIENCE Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. COURSE OBJECTIVES Plan for the transformation with shared goals and timelines Select a project and identify project metrics and Key Performance Indicators (KPI's) Create a team and agile organizational structure Design a tool integration strategy Design a license management strategy (e.g., Azure DevOps and GitHub users) Design a strategy for end-to-end traceability from work items to working software Design an authentication and access strategy Design a strategy for integrating on-premises and cloud resources Describe the benefits of using Source Control Describe Azure Repos and GitHub Migrate from TFVC to Git Manage code quality, including technical debt SonarCloud, and other tooling solutions Build organizational knowledge on code quality Explain how to structure Git repos Describe Git branching workflows Leverage pull requests for collaboration and code reviews Leverage Git hooks for automation Use Git to foster inner source across the organization Explain the role of Azure Pipelines and its components Configure Agents for use in Azure Pipelines Explain why continuous integration matters Implement continuous integration using Azure Pipelines Design processes to measure end-user satisfaction and analyze user feedback Design processes to automate application analytics Manage alerts and reduce meaningless and non-actionable alerts Carry out blameless retrospectives and create a just culture Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure Implement compliance and security in your application infrastructure Describe the potential challenges with integrating open-source software Inspect open-source software packages for security and license compliance Manage organizational security and compliance policies Integrate license and vulnerability scans into build and deployment pipelines Configure build pipelines to access package security and license ratings   COURSE CONTENT Module 1: Get started on a DevOps transformation journey Module 1 Lessons Introduction to DevOps Choose the right project Describe team structures Choose the DevOps tools Plan Agile with GitHub Projects and Azure Boards Introduction to source control Describe types of source control systems Work with Azure Repos and GitHub Lab 1: Agile planning and portfolio management with Azure Boards   Lab 2: Version controlling with Git in Azure Repos   After completing Module 1, students will be able to: Understand what DevOps is and the steps to accomplish it Identify teams to implement the process Plan for the transformation with shared goals and timelines Plan and define timelines for goals Understand different projects and systems to guide the journey Select a project to start the DevOps transformation Identify groups to minimize initial resistance Identify project metrics and Key Performance Indicators (KPI's) Understand agile practices and principles of agile development Create a team and agile organizational structure Module 2: Development for enterprise DevOps Module 2 Lessons Structure your Git Repo Manage Git branches and workflows Collaborate with pull requests in Azure Repos Explore Git hooks Plan foster inner source Manage Git repositories Identify technical debt Lab 3: Version controlling with Git in Azure Repos   After completing Module 2, students will be able to: Understand Git repositories Implement mono repo or multiple repos Explain how to structure Git Repos Implement a change log Describe Git branching workflows Implement feature branches Implement GitFlow Fork a repo Leverage pull requests for collaboration and code reviews Give feedback using pull requests Module 3: Implement CI with Azure Pipelines and GitHub Actions Module 3 Lessons Explore Azure Pipelines Manage Azure Pipeline agents and pools Describe pipelines and concurrency Explore Continuous integration Implement a pipeline strategy Integrate with Azure Pipelines Introduction to GitHub Actions Learn continuous integration with GitHub Actions Design a container build strategy Lab 4: Configuring agent pools and understanding pipeline styles   Lab 5: Enabling continuous integration with Azure Pipelines   Lab 6: Integrating external source control with Azure Pipelines   Lab 7: Implementing GitHub Actions by using DevOps Starter   Lab 8: Deploying Docker Containers to Azure App Service web apps   After completing Module 3, students will be able to: Describe Azure Pipelines Explain the role of Azure Pipelines and its components Decide Pipeline automation responsibility Understand Azure Pipeline key terms Choose between Microsoft-hosted and self-hosted agents Install and configure Azure pipelines Agents Configure agent pools Make the agents and pools secure Use and estimate parallel jobs Module 4: Design and implement a release strategy Module 4 Lessons Introduction to continuous delivery Create a release pipeline Explore release strategy recommendations Provision and test environments Manage and modularize tasks and templates Automate inspection of health Lab 9: Creating a release dashboard   Lab 10: Controlling deployments using Release Gates   After completing Module 4, students will be able to: Explain continuous delivery (CD) Implement continuous delivery in your development cycle Understand releases and deployment Identify project opportunities to apply CD Explain things to consider when designing your release strategy Define the components of a release pipeline and use artifact sources Create a release approval plan Implement release gates Differentiate between a release and a deployment Module 5: Implement a secure continuous deployment using Azure Pipelines Module 5 Lessons Introduction to deployment patterns Implement blue-green deployment and feature toggles Implement canary releases and dark launching Implement A/B testing and progressive exposure deployment Integrate with identity management systems Manage application configuration data Lab 11: Configuring pipelines as code with YAML   Lab 12: Setting up and running functional tests   Lab 13: Integrating Azure Key Vault with Azure DevOps   After completing Module 5, students will be able to: Explain the terminology used in Azure DevOps and other Release Management Tooling Describe what a Build and Release task is, what it can do, and some available deployment tasks Implement release jobs Differentiate between multi-agent and multi-configuration release job Provision and configure target environment Deploy to an environment securely using a service connection Configure functional test automation and run availability tests Setup test infrastructure Use and manage task and variable groups Module 6: Manage infrastructure as code using Azure and DSC Module 6 Lessons Explore infrastructure as code and configuration management Create Azure resources using Azure Resource Manager templates Create Azure resources by using Azure CLI Explore Azure Automation with DevOps Implement Desired State Configuration (DSC) Implement Bicep Lab 14: Azure deployments using Azure Resource Manager templates   After completing Module 6, students will be able to: Understand how to deploy your environment Plan your environment configuration Choose between imperative versus declarative configuration Explain idempotent configuration Create Azure resources using ARM templates Understand ARM templates and template components Manage dependencies and secrets in templates Organize and modularize templates Create Azure resources using Azure CLI Module 7: Implement security and validate code bases for compliance Module 7 Lessons Introduction to Secure DevOps Implement open-source software Software Composition Analysis Static analyzers OWASP and Dynamic Analyzers Security Monitoring and Governance Lab 15: Implement security and compliance in Azure Pipelines   Lab 16: Managing technical debt with SonarQube and Azure DevOps   After completing Module 7, students will be able to: Identify SQL injection attack Understand DevSecOps Implement pipeline security Understand threat modeling Implement open-source software Explain corporate concerns for open-source components Describe open-source licenses Understand the license implications and ratings Work with Static and Dynamic Analyzers Configure Microsoft Defender for Cloud Module 8: Design and implement a dependency management strategy Module 8 Lessons Explore package dependencies Understand package management Migrate, consolidate, and secure artifacts Implement a versioning strategy Introduction to GitHub Packages Lab 17: Package management with Azure Artifacts   After completing Module 8, students will be able to: Define dependency management strategy Identify dependencies Describe elements and componentization of a dependency management Scan your codebase for dependencies Implement package management Manage package feed Consume and create packages Publish packages Identify artifact repositories Migrate and integrate artifact repositories Module 9: Implement continuous feedback Module 9 Lessons Implement tools to track usage and flow Develop monitor and status dashboards Share knowledge within teams Design processes to automate application analytics Manage alerts, Blameless retrospectives and a just culture Lab 18: Monitoring application performance with Application Insights   Lab 19: Integration between Azure DevOps and Microsoft Teams   Lab 20: Sharing Team Knowledge using Azure Project Wikis   After completing Module 9, students will be able to: Implement tools to track feedback Plan for continuous monitoring Implement Application Insights Use Kusto Query Language (KQL) Implement routing for mobile applications Configure App Center Diagnostics Configure alerts Create a bug tracker Configure Azure Dashboards Work with View Designer in Azure Monitor [-]

Dette er et grunnleggende kurs i SQL-programmering. Kurset passer godt for deg som skal jobbe med relasjonelle databaser, som f.eks. Oracle, PostgreSQL, Microsoft SQL-server eller MySQL/MariaDB.   Etter gjennomført kurs vil deltakerne være fortrolige med å opprette databaser og tabeller, sette inn data, endre og slette data og søke etter data i SQL-databaser.    Kursinnhold Introduksjon til relasjonsdatabaser og relasjonsmodellen: normalisering på tredje normalform. Introduksjon til MySQL, PostgreSQL, Oracle Express og tilhørende verktøy Introduksjon til SQL i Big Data (HiveQL, Cassandra QL, Phoenix HBase-klient) Søk i SQL-databaser, bl.a. med bruk av under-spørringer og inner og outer joins. Filtrering, gruppering og sortering av data. Oppretting, endring, kopiering og sletting av databaser og tabeller, Innsetting, oppdatering og sletting av data i tabeller Bruk av indekser og views. Skjema-design med bruk av ulike data-typer, tegnsett og lagringsformater. Introduksjon til MySQL, PostgreSQL og Oracle Express Bruk av bl.a. MySQL Workbench, PhPMyAdmin og Oracle Application Express. Kurset gjennomføres med en kombinasjon av online læringsmidler, gjennomgang av temaer og problemstillinger og praktiske øvelser med ulike typer datasett.    Kursinstruktør Terje Berg-Hansen Terje Berg-Hansen har bred erfaring fra prosjektledelse, utvikling og drift med små og store databaser, både SQL- og NoSQL-baserte. I tillegg til å undervise i etablerte teknologier leder han også Oslo Hadoop User Group, og er levende interessert i nye teknologier, distribuerte databaser og Big Data Science.      [-]