Oversikt over relevante kurs innen IT-kurs i Broby kommune

Understand the purpose and key concepts of Information Security Management, elucidating its significance in safeguarding the confidentiality, integrity, and availability of organisational information assets. This eLearning is: Interactive Self-paced   Device-friendly   2-3 hours content   Mobile-optimised   Practical exercises   Exam: 20 questions Multiple choise 30 minutes Closed book Minimum required score to pass: 65% [-]

En pivottabell er et kraftig verktøy i Microsoft Excel som gjør at du kan beregne, summere og analysere store mengder data på en rask og effektiv måte. En pivottabell kan brukes til å analysere numeriske data og til å besvare uventede spørsmål om dataen. Kort fortalt, en pivottabell hjelper deg med å ta informerte beslutninger basert på funnene i dataene dine. I dette kurset, ledet av Espen Faugstad, vil du lære alt du trenger å vite for å jobbe med pivottabeller i Microsoft Excel. Kurset vil dekke hva en pivottabell er, hvordan du klargjør data, organiserer data, formaterer data, presenterer data, og mye mer. For å ta dette kurset, bør du ha grunnleggende forståelse av Microsoft Excel. Kurset er strukturert i følgende kapitler: Kapittel 1: Introduksjon Kapittel 2: Grunnleggende Kapittel 3: Viderekommen Kapittel 4: Avslutning Etter å ha fullført kurset vil du være i stand til å bruke pivottabeller til å analysere data, trekke innsikter og ta informerte beslutninger basert på dataene i Excel.   Varighet: 1 time   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Vår tjeneste fungerer på samme måte som strømmetjenester for musikk eller TV-serier, der våre kunder betaler en fast månedspris for tilgang til alle kursene vi har tilgjengelig. Vi har opplevd betydelig vekst de siste årene, med over 30 000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling engasjerende, spennende og tilgjengelig for alle, og vi har støtte fra Innovasjon Norge og Forskningsrådet. [-]

 In Microsoft 365 security management, you will examine all the common types of threat vectors and data breaches facing organizations today, and you will learn how Microsoft 365’s security solutions address these security threats. Global Knowledge will introduce you to the Microsoft Secure Score, as well as to Azure Active Directory Identity Protection. You will then learn how to manage the Microsoft 365 security services, including Exchange Online Protection, Advanced Threat Protection, Safe Attachments, and Safe Links. Finally, you will be introduced to the various reports that monitor your security health. You will then transition from security services to threat intelligence; specifically, using the Security Dashboard and Advanced Threat Analytics to stay ahead of potential security breaches. TARGET AUDIENCE This course is designed for persons who are aspiring to the Microsoft 365 Enterprise Admin role and have completed one of the Microsoft 365 work load administrator certification paths. COURSE OBJECTIVES By actively participating in this course, you will learn about the following: Microsoft 365 Security Metrics Microsoft 365 Security Services Microsoft 365 Threat Intelligence Data Governance in Microsoft 365 Archiving and Retention in Office 365 Data Governance in Microsoft 365 Intelligence Search and Investigations Device Management Windows 10 Deployment Strategies Mobile Device Management COURSE CONTENT Module 1: Introduction to Microsoft 365 Security Metrics Threat Vectors and Data Breaches Security Solutions in Microsoft 365 Introduction to the Secure Score Introduction to Azure Active Directory Identity Protection Module 2: Managing Your Microsoft 365 Security Services Introduction to Exchange Online Protection Introduction to Advanced Threat Protection Managing Safe Attachments Managing Safe Links Monitoring and Reports Module 3: Lab 1 - Manage Microsoft 365 Security Services Exercise 1 - Set up a Microsoft 365 Trial Tenant Exercise 2 - Implement an ATP Safe Links policy and Safe Attachment policy Module 4: Microsoft 365 Threat Intelligence Overview of Microsoft 365 Threat Intelligence Using the Security Dashboard Configuring Advanced Threat Analytics Implementing Your Cloud Application Security Module 5: Lab 2 - Implement Alert Notifications Using the Security Dashboard Exercise 1 - Prepare for implementing Alert Policies Exercise 2 - Implement Security Alert Notifications Exercise 3 - Implement Group Alerts Exercise 4 - Implement eDiscovery Alerts Module 6: Introduction to Data Governance in Microsoft 365 Introduction to Archiving in Microsoft 365 Introduction to Retention in Microsoft 365 Introduction to Information Rights Management Introduction to Secure Multipurpose Internet Mail Extension Introduction to Office 365 Message Encryption Introduction to Data Loss Prevention Module 7: Archiving and Retention in Office 365 In-Place Records Management in SharePoint Archiving and Retention in Exchange Retention Policies in the SCC Module 8: Lab 3 - Implement Archiving and Retention Exercise 1 - Initialize Compliance in Your Organization Exercise 2 - Configure Retention Tags and Policies Exercise 3 - Implement Retention Policies Module 9: Implementing Data Governance in Microsoft 365 Intelligence Planning Your Security and Complaince Needs Building Ethical Walls in Exchange Online Creating a Simple DLP Policy from a Built-in Template Creating a Custom DLP Policy Creating a DLP Policy to Protect Documents Working with Policy Tips Module 10: Lab 4 - Implement DLP Policies Exercise 1 - Manage DLP Policies Exercise 2 - Test MRM and DLP Policies Module 11: Managing Data Governance in Microsoft 365 Managing Retention in Email Troubleshooting Data Governance Implementing Azure Information Protection Implementing Advanced Features of AIP Implementing Windows Information Protection Module 12: Lab 5 - Implement AIP and WIP Exercise 1 - Implement Azure Information Protection Exercise 2 - Implement Windows Information Protection Module 13: Managing Search and Investigations Searching for Content in the Security and Compliance Center Auditing Log Investigations Managing Advanced eDiscovery Module 14: Lab 6 - Manage Search and Investigations Exercise 1 - Investigate Your Microsoft 365 Data Exercise 2 - Configure and Deploy a Data Subject Request Module 15: Planning for Device Management Introduction to Co-management Preparing Your Windows 10 Devices for Co-management Transitioning from Configuration Manager to Intune Introduction to Microsoft Store for Business Planning for Mobile Application Management Module 16: Lab 7 - Implement the Microsoft Store for Business Exercise 1 - Configure the Microsoft Store for Business Exercise 2 - Manage the Microsoft Store for Business Module 17: Planning Your Windows 10 Deployment Strategy Windows 10 Deployment Scenarios Implementing Windows Autopilot Planning Your Windows 10 Subscription Activation Strategy Resolving Windows 10 Upgrade Errors Introduction to Windows Analytics Module 18: Implementing Mobile Device Management Planning Mobile Device Management Deploying Mobile Device Management Enrolling Devices to MDM Managing Device Compliance Module 19: Lab 8 - Manage Devices with Intune Exercise 1 - Enable Device Management Exercise 2 - Configure Azure AD for Intune Exercise 3 - Create Intune Policies Exercise 4 - Enroll a Windows 10 Device Exercise 5 - Manage and Monitor a Device in Intune TEST CERTIFICATION This course helps you to prepare for exam MS101. 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Kursinnhold Enkle formler Cellereferanser Gi navn til celler og områder Feilkontroll og formelrevisjon Hente data fra andre ark og arbeidsbøker Egendefinerte tallformater Betinget formatering Utklippstavle og avansert innliming   Det er fordelaktig å ha to skjermer - en til å følge kurset og en til å gjøre det kursholder demonstrerer.   Kurset gjennomføres i sanntid med nettundervisning via Teams. Det blir mulighet for å stille spørsmål, ha diskusjoner, demonstrasjoner og øvelser. Du vil motta en invitasjon til Teams fra kursholder. [-]

MD-101: Managing Modern Desktops [-]

Fleksible kurs for fremtidenNy kunnskap skal gi umiddelbar effekt, og samtidig være holdbar og bærekraftig på lang sikt. NTI AS har 30 års erfaring innen kurs og kompetanseheving, og utdanner årlig rundt 10.000 personer i Nord Europa innen CAD, BIM, industri, design og konstruksjon.   Revit Architecture Basis I Her er et utvalg av temaene du vil lære på kurset: Introduksjon til BIM Modellering av 3D-bygningsmodell i flere detaljeringsgrader (informasjonsnivåer) Samarbeid med andre fagmodeller Generering av planer, snitt, fasader, detaljer og perspektiver Skjemaer og mengdeuttrekk Oppsetning til print A Anvendelse av relevante NTItools Kurset gir deg innblikk i bruken av BIM-arbeidsmetoder med Revit som hovedverktøy. Det bygges opp en full, parametrisk 3D-modell, hvor de grunnleggende funksjonene i Revit benyttes. DU vil få en bred forståelse av både prinsipper og funksjoner i Revit og skal bli i stand til å øke detaljeringen av prosjektet ytterligere.   Dette er et populært kurs, meld deg på nå!   Tilpassete kurs for bedrifterVi vil at kundene våre skal være best på det de gjør - hele tiden.  Derfor tenker vi langsiktig om kompetanseutvikling og ser regelmessig kunnskapsløft som en naturlig del av en virksomhet. Vårt kurskonsept bygger på et moderne sett av ulike læringsmiljøer, som gjør det enkelt å finne riktig løsning uansett behov. Ta kontakt med oss på telefon 483 12 300, epost: salg@nticad.no eller les mer på www.nticad.no [-]

  Studieår: 2013-2014   Gjennomføring: Høst og vår Antall studiepoeng: 5.0 Forutsetninger: Grunnleggende objektorientert programmering i for eksempel Java eller C++ Innleveringer: Øvinger: 8 av 11 må være godkjent.  Personlig veileder: ja Vurderingsform: Skriftlig eksamen, 4 timer. Case-beskrivelser etc. legges ut i ItsLearning 24 timer før. (NB! Eksamensform kan bli endret under forutsetning av at ny teknologi gjør det mulig å arrangere eksamen elektronisk.) Ansvarlig: Grethe Sandstrak Eksamensdato: 05.12.13 / 08.05.14         Læremål: Etter å ha gjennomført emnet skal kandidaten ha følgende samlete læringsutbytte: KUNNSKAPER:Kandidaten:- kan gjøre rede for sentrale begreper innen objektorientering- kan konstruere et objektorientert C#. NET-program ut fra en gitt problemstilling- kan finne fram, sette seg inn i og anvende dokumentasjon om .NET Framework library- kjenner til ulike GUI-komponenter og hvordan de brukes i C#-programmer FERDIGHETER:Kandidaten kan:- sette opp programmiljø for å utvikle og kjøre C#. NET applikasjoner på egen pc- kan anvende klasser fra .NET Framework library- lage C#.NET program* med fordeling av oppgaver mellom objekter og der arv og polymorfi benyttes* med grafiske brukergrensesnitt* som kommuniserer med en database via SQL* med LINQ, delegater, templates GENERELL KOMPETANSEKandidaten kan:- kommunisere om objektorientert programmering og databaser med relevant begrepsapparat Innhold:NET-arkitekturen. Utviklingsmiljøet. Grunnleggende C#-syntaks. Objektorientert programmering med arv og polymorfi. GUI. Datafiler. Programmering mot databaser. ADO.NET, LINQ, Templates, Collections.Les mer om faget her Påmeldingsfrist: 25.08.13 / 25.01.14         Velg semester:  Høst 2013    Vår 2014     Fag C#.NET 4980,-         Semesteravgift og eksamenskostnader kommer i tillegg.    [-]

Kurset er rettet mot designere og utviklere. Vi er blant annet innom: Forståelige skjemaobjekter Beskrivelser og instruksjoner Obligatoriske felt Lesbarhet Vær konsekvent Grupperinger Viktige skjema Store, komplekse skjemaer Validering og feilhåndtering [-]

AZ-700: Designing and Implementing Microsoft Azure Networking Solutions [-]

Agenda Module 1: Implement VMs for Windows and Linux -Select Virtual Machine Size-Configure High Availability-Implement Azure Dedicated Hosts-Deploy and Configure Scale Sets-Configure Azure Disk Encryption Module 2: Automate Deployment and Configuration of Resources -Azure Resource Manager Templates-Save a Template for a VM-Evaluate Location of New Resources-Configure a Virtual Hard Disk Template-Deploy from a Template-Create and Execute an Automation Runbook Module 3: Implement Virtual Networking -Virtual Network Peering-Implement VNet Peering Module 4: Implement Load Balancing and Network Security -Implement Azure Load Balancer-Implement an Application Gateway-Understand Web Application Firewall-Implement Azure Firewall-Implement Azure Front Door-Implementing Azure Traffice Manager-Implement Network Security Groups and Application Security Grou-Implement Azure Bastion Module 5: Implement Storage Accounts -Storage Accounts-Blob Storage-Storage Security-Managing Storage-Accessing Blobs and Queues using AAD-Configure Azure Storage Firewalls and Virtual Networks Module 6: Implement Azure Active Directory -Overview of Azure Active Directory-Users and Groups-Domains and Custom Domains-Azure AD Identity Protection-Implement Conditional Access-Configure Fraud Alerts for MFA-Implement Bypass Options-Configure Trusted IPs-Configure Guest Users in Azure AD-Manage Multiple Directori Module 7: Implement and Manage Azure Governance -Create Management Groups, Subscriptions, and Resource Groups-Overview of Role-Based Access Control (RBAC)-Role-Based Access Control (RBAC) Roles-Azure AD Access Reviews-Implement and Configure an Azure Policy-Azure Blueprints Module 8: Implement and Manage Hybrid Identities -Install and Configure Azure AD Connect-Configure Password Sync and Password Writeback-Configure Azure AD Connect Health Module 9: Manage Workloads in Azure -Migrate Workloads using Azure Migrate-VMware - Agentless Migration-VMware - Agent-Based Migration-Implement Azure Backup-Azure to Azure Site Recovery-Implement Azure Update Management Module 10: Implement Cloud Infrastructure Monitoring -Azure Infrastructure Security Monitoring-Azure Monitor-Azure Workbooks-Azure Alerts-Log Analytics-Network Watcher-Azure Service Health-Monitor Azure Costs-Azure Application Insights-Unified Monitoring in Azure Module 11: Manage Security for Applications -Azure Key Vault-Azure Managed Identity Module 12: Implement an Application Infrastructure -Create and Configure Azure App Service-Create an App Service Web App for Containers-Create and Configure an App Service Plan-Configure Networking for an App Service-Create and Manage Deployment Slots-Implement Logic Apps-Implement Azure Functions Module 13: Implement Container-Based Applications -Azure Container Instances-Configure Azure Kubernetes Service Module 14: Implement NoSQL Databases -Configure Storage Account Tables-Select Appropriate CosmosDB APIs Module 15: Implement Azure SQL Databases -Configure Azure SQL Database Settings-Implement Azure SQL Database Managed Instances-High-Availability and Azure SQL Database [-]

Blended Virtual CourseThe 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    KursinnholdDette kurset forklarer det grunnleggende i softwaretesting. Det er basert på ISTQB- pensum og er akkreditert av BCS.    Kurset inneholder øvelser, prøveeksamener og spill for å fremheve sentrale deler av pensum. Dette sammen med kursmateriell og presentasjoner vil bistå i forståelse av begreper og metoder som blir presentert.   Bouvet sine kursdeltakeres testresultater vs ISTQB gjennomsnitt   «Særs godt kurs med mye fokus på praktiske oppgaver som gjør læring vesentlig lettere. Engasjert kursleder hjelper også. Kursleder starter på et nivå som alle føler seg komfortabel med.» Alexander Røstum Course content Fundamentals of Testing This section looks at why testing is necessary, what testing is, and explains general testing principles, the fundamental test process, and psychological aspects of testing.   Skills Gained • Learn about the differences between the testing levels and targets• Know how to apply both black and white box approaches to all levels of testing• Understand the differences between the various types of review and be aware of Static Analysis• Learn aspects of test planning, estimation, monitoring and control• Communicate better through understanding standard definitions of terms• Gain knowledge of the different types of testing tools and the best way of implementing those tools   Testing throughout the software lifecycle Explains the relationship between testing and life cycle development models, including the V-model and iterative development. Outlines four levels of testing:• Component testing• Integration testing• System testing• Acceptance testing Describes four test types, the targets of testing:• functional• non-functional characteristics• structural• change-related Outlines the role of testing in maintenance.   Static Techniques Explains the differences between the various types of review, and outlines the characteristics of a formal review. Describes how static analysis can find defects.   Test Design Techniques This section explains how to identify test conditions (things to test) and how to design test cases and procedures. It also explains the difference between white and black box testing. The following techniques are described in some detail with practical exercises :• Equivalence Partitioning• Boundary Value Analysis• Decision Tables• State Transition testing• Statement and Decision testingIn addition, use case testing and experience-based testing (such as exploratory testing) are described, and advice is given on choosing techniques.   Test Management This section looks at organisational implications for testing and describes test planning and estimation, test monitoring and control. The relationship of testing and risk is covered,and configuration management and incident management.   Tool Support for Testing Different types of tool support for testing are described throughout the course. This session summarises them, and discusses how to use them effectively and how best to introduce a new tool.   The Exam The ISTQB Foundation exam is a 1-hour, 40 question multiple choice exam. There is an extra 15 minutes allowed for candidates whose first language is not English.The pass mark is 65% (26/40) and there are no pre requisites to taking this exam.The exam is a remote proctored exam [-]

TARGET AUDIENCE Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C#, Python, or JavaScript and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure. COURSE OBJECTIVES After completing this course you should be able to: Describe considerations for creating AI-enabled applications Identify Azure services for AI application development Provision and consume cognitive services in Azure Manage cognitive services security Monitor cognitive services Use a cognitive services container Use the Text Analytics cognitive service to analyze text Use the Translator cognitive service to translate text Use the Speech cognitive service to recognize and synthesize speech Use the Speech cognitive service to translate speech Create a Language Understanding app Create a client application for Language Understanding Integrate Language Understanding and Speech Use QnA Maker to create a knowledge base Use a QnA knowledge base in an app or bot Use the Bot Framework SDK to create a bot Use the Bot Framework Composer to create a bot Use the Computer Vision service to analyze images Use Video Indexer to analyze videos Use the Custom Vision service to implement image classification Use the Custom Vision service to implement object detection Detect faces with the Computer Vision service Detect, analyze, and recognize faces with the Face service Use the Computer Vision service to read text in images and documents Use the Form Recognizer service to extract data from digital forms Create an intelligent search solution with Azure Cognitive Search Implement a custom skill in an Azure Cognitive Search enrichment pipeline Use Azure Cognitive Search to create a knowledge store   COURSE CONTENT Module 1: Introduction to AI on Azure Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly. Introduction to Artificial Intelligence Artificial Intelligence in Azure Module 2: Developing AI Apps with Cognitive Services Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services. Getting Started with Cognitive Services Using Cognitive Services for Enterprise Applications Lab: Get Started with Cognitive Services Lab: Get Started with Cognitive Services Lab: Monitor Cognitive Services Lab: Use a Cognitive Services Container Module 3: Getting Started with Natural Language Processing  Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text. Analyzing Text Translating Text Lab: Analyze Text Lab: Translate Text Module 4: Building Speech-Enabled Applications Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications. Speech Recognition and Synthesis Speech Translation Lab: Recognize and Synthesize Speech Lab: Translate Speech Module 5: Creating Language Understanding Solutions To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input. Creating a Language Understanding App Publishing and Using a Language Understanding App Using Language Understanding with Speech Lab: Create a Language Understanding App Lab: Create a Language Understanding Client Application Use the Speech and Language Understanding Services Module 6: Building a QnA Solution One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution. Creating a QnA Knowledge Base Publishing and Using a QnA Knowledge Base Lab: Create a QnA Solution Module 7: Conversational AI and the Azure Bot Service Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences. Bot Basics Implementing a Conversational Bot Lab: Create a Bot with the Bot Framework SDK Lab: Create a Bot with a Bot Freamwork Composer Module 8: Getting Started with Computer Vision Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video. Analyzing Images Analyzing Videos Lab: Analyse Images with Computer Vision Lab: Analyze Images with Video Indexer Module 9: Developing Custom Vision Solutions While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models. Image Classification Object Detection Lab: Classify Images with Custom Vision Lab: Detect Objects in Images with Custom Vision Module 10: Detecting, Analyzing, and Recognizing Faces Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces. Detecting Faces with the Computer Vision Service Using the Face Service Lab:Destect, Analyze and Recognize Faces Module 11: Reading Text in Images and Documents Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms. Reading text with the Computer Vision Service Extracting Information from Forms with the Form Recognizer service Lab: Read Text in IMages Lab: Extract Data from Forms Module 12: Creating a Knowledge Mining Solution Ultimately, many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights. Implementing an Intelligent Search Solution Developing Custom Skills for an Enrichment Pipeline Creating a Knowledge Store Lab: Create and Azure Cognitive Search Solution Create a Custom Skill for Azure Cognitive Search Create a Knowledge Store with Azure Cognitive Search   TEST CERTIFICATION Recommended as preparation for the following exams: AI-102 - Designing and Implementing a Microsoft Azure AI Solution - Part of the requirements for the Microsoft Certified Azure AI Engineer Associate Certification.   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 [-]

SDWFND: Cisco SD WAN Operation and Deployment [-]

 Students will learn through a mix of demonstrations and hands-on lab experiences deploying virtual desktop experiences and apps on Windows Virtual Desktop and optimizing them to run in multi-session virtual environments.Students for AZ-140: Configuring and Operating Windows Virtual Desktop on Microsoft Azure are interested in delivering applications on Windows Virtual Desktop and optimizing them to run in multi-session virtual environments. As a Windows Virtual Desktop administrator, you will closely with the Azure Administrators and Architects, along with Microsoft 365 Administrators. Windows Virtual Desktop administrator responsibilities include planning, deploying, packaging, updating, and maintaining the Azure Windows Virtual Desktop infrastructure. They also create session host images, implement and manage FSLogix, monitor Windows Virtual Desktop performance, and automate Windows Virtual Desktop management tasks. COURSE OBJECTIVES   Select an appropriate licensing model for Windows Virtual Desktop Implement networking for Windows Virtual Desktop Manage Windows Virtual Desktop session hosts by using Azure Bastion Configure storage for FSLogix components Create and manage session host images Implement Azure roles and role-based access control (RBAC) for Windows Virtual Desktop Configure user Windows Virtual Desktop experience settings Install and configure apps on a session host Implement business continuity and disaster recovery Monitor and manage Windows Virtual Desktop performance     COURSE CONTENT Module 1: Plan a Windows Virtual Desktop Architecture In this module, you will learn how to assess existing physical and virtual desktop environments, plan and configure name resolution for Active Directory (AD) and Azure Active Directory Domain Services (Azure AD DS), and plan for Windows Virtual Desktop client deployments. LESSONS M1 Windows Virtual Desktop Architecture Design the WVD architecture Design for user identities and profiles LAB: PREPARE FOR DEPLOYMENT OF AZURE WINDOWS VIRTUAL DESKTOP (AZURE AD DS) LAB: PREPARE FOR DEPLOYMENT OF AZURE WINDOWS VIRTUAL DESKTOP (AD DS) After completing module 1, students will be able to: Understand Windows Virtual Desktop Components Understand personal and pooled desktops Recommend an operating system for a WVD implementation Plan a host pools architecture Module 2: Implement a WVD Infrastructure In this module, you will learn how to manage connectivity to the internet and on-premises networks, create a host pool by using the Azure portal, deploy host pools and hosts by using Azure Resource Manager templates, apply OS and application updates to a running WVD host, and create a master image. LESSONS M2 Implement and manage networking for WVD Implement and manage storage for WVD Create and configure host pools and session hosts Create and manage session host image LAB: CREATE AND CONFIGURE HOST POOLS AND SESSION HOSTS (AZURE AD DS) LAB: DEPLOY HOST POOLS AND SESSION HOSTS BY USING THE AZURE PORTAL (AD DS) LAB: IMPLEMENT AND MANAGE STORAGE FOR WVD (AZURE AD DS) LAB: DEPLOY HOST POOLS AND HOSTS BY USING AZURE RESOURCE MANAGER TEMPLATES LAB: DEPLOY AND MANAGE HOST POOLS AND HOSTS BY USING POWERSHELL After completing module 2, students will be able to: Implement Azure virtual network connectivity Manage connectivity to the internet and on-premises networks Understanding Windows Virtual Desktop network connectivity Configure WVD session hosts using Azure Bastion Configure storage for FSLogix components Configure disks and file shares Modify a session host image Create and use a Shared Image Gallery (SIG) Module 3: Manage Access and Security In this module, you will learn how to plan and implement Azure roles and RBAC for WVD, implement Conditional Access policies for connections, plan and implement MFA, and manage security by using Azure Security Center. LESSONS M3 Manage access Manage security LAB: CONFIGURE CONDITIONAL ACCESS POLICIES FOR CONNECTIONS TO WVD (AD DS) After completing module 3, students will be able to: Manage local roles, groups and rights assignment on WVD session hosts. Configure user restrictions by using AD group policies and Azure AD policies Understand Conditional Access policy components Prepare for Azure Active Directory (Azure AD)-based Conditional Access for Windows Virtual Desktop Implement Azure AD-based Conditional Access for Windows Virtual Desktop Module 4: Manage User Environments and Apps In this module, you will learn how to plan for FSLogix, install FSLogix, configure Cloud Cache, deploy an application as a RemoteApp, and implement and manage OneDrive for Business for a multi-session environment. LESSONS M4 Implement and manage FSLogix Configure user experience settings Install and configure apps on a session host LAB: WINDOWS VIRTUAL DESKTOP PROFILE MANAGEMENT (AZURE AD DS) LAB: WINDOWS VIRTUAL DESKTOP PROFILE MANAGEMENT (AD DS) LAB: WINDOWS VIRTUAL DESKTOP APPLICATION PACKAGING (AD DS) After completing module 4, students will be able to: Configure Profile Containers Configure Azure Files to store profile containers for WVD in an AAD DS environment Implement FSLogix based profiles for Windows Virtual Desktop in Azure AD DS environment Implement FSLogix based profiles for Windows Virtual Desktop Prepare for and create MSIX app packages Implement MSIX app attach container for Windows Virtual Desktop in AD DS environmen Module 5: Monitor and maintain a WVD infrastructure In this module, you will learn how to plan and implement a disaster recovery plan for WVD, configure automation for WVD, implement autoscaling in host pools, and optimize session host capacity and performance. LESSONS M5 Plan and implement business continuity and disaster recovery Automate WVD management tasks Monitor and manage performance and health LAB: IMPLEMENT AUTOSCALING IN HOST POOLS (AD DS) After completing module 5, students will be able to: Plan and implement a disaster recovery plan for WVD Configure automation for WVD Monitor WVD by using Azure Monitor Customize Azure Workbooks for WVD monitoring Configure autoscaling of Windows Virtual Desktop session hosts Verify autoscaling of Windows Virtual Desktop session host [-]

COURSE OVERVIEW  In Microsoft 365 tenant and service management, you will examine all the key components that must be planned for when designing your Microsoft 365 tenant. Once this planning phase is complete, you will learn how to configure your Microsoft 365 tenant, including your organizational profile, tenant subscription options, component services, user accounts and licenses, and security groups. Finally, you will learn how to manage your tenant, which includes the configuration of tenant roles and managing your tenant health and services. With your Microsoft 365 tenant now firmly in place, you will examine the key components of Office 365 management. This begins with an overview of Office 365 product functionality, including Exchange Online, SharePoint Online, Microsoft Teams, additional product resources, and device management. You will then transition to configuring Office 365, with a primary focus on configuring Office client connectivity to Office 365. Finally, you will examine how to manage Office 365 ProPlus deployments, from user-driven client installations to centralized Office 365 ProPlus deployments. You will wrap up this section by learning how to configure Office Telemetry and Microsoft Analytics. The course concludes with an in-depth examination of Microsoft 365 identity synchronization, with a focus on Azure Active Directory Connect. You will learn how to plan for and implement Azure AD Connect, how to manage synchronized identities, and how to implement password management in Microsoft 365 using multi-factor authentication and self-service password management. This section wraps up with a comprehensive look at implementing application and external access. You will learn how to add and manage applications in Azure Active Directory, including how to configure multi-tenant applications. You will then examine how to configure Azure AD Application Proxy, including how to install and register a connector and how to publish an on-premises app for remote access. Finally, you will examine how to design and manage solutions for external access. This includes licensing guidance for Azure AD B2B collaboration, creating a collaborative user, and troubleshooting a B2B collaboration. TARGET AUDIENCE This course is designed for persons who are aspiring to the Microsoft 365 Enterprise Admin role and have completed one of the Microsoft 365 role-based administrator certification paths. COURSE OBJECTIVES Designing, configuring, and managing your Microsoft 365 tenant Office 365 product functionality Configuring Office 365 Managing Office 365 ProPlus deployments Planning and implementing identity synchronization Implementing application and external access COURSE CONTENT Module 1: Designing Your Microsoft 365 Tenant Planning Microsoft 365 in your On-premises Infrastructure Planning Your Identity and Authentication Solution Planning Your Service Setup Planning Your Hybrid Enviroment Planning Your Migration to Office 365 Module 2: Configuring Your Microsoft 365 Tenant Planning  Your Microsoft 365 Experience Configuring  Your Microsoft 365 Experience Managing User Accounts and Licenses in Microsoft 365 Managing Security Groups in Microsoft 365 Implementing Your Domain Services Leveraging FastTrack and Partner Services Module 3: Lab 1 - Configuring your Microsoft 365 Tenant Exercise 1 - Set up a Microsoft 365 Trial Tenant Module 4: Managing Your Microsoft 365 Tenant Configuring Tenant Roles Managing Tenant Health and Services Module 5: Lab 2 - Managing your Microsoft 365 Tenant Exercise 1 - Manage Administration Delegation Exercise 2 - Configure Office 365 Message Encryption (OME) Exercise 3 - Monitor and Troubleshoot Office 365 Module 6: Office 365 Overview Exchange Online Overview SharePoint Online Overview Teams Overview Additional Resources Overview Device Management Overview Module 7: Lab 3 - Office 365 Overview Exercise 1 - Exchange Online Overview Exercise 2 - SharePoint Online Overview Exercise 3 - Teams Overview Module 8: Configuring  Office 365 Office 365 Client Overview Configuring Office Client Connectivity to Office 365 Module 9: Managing Office 365 ProPlus Deployments Managing User-Driven Client Installations Managing Centralized Office 365 ProPlus Deployments Configuring Office Telemetry Configuring Microsoft Analytics Module 10: Lab 4 - Managing Office 365 ProPlus installations Exercise 1 - Prepare an Office 365 ProPlus Managed Installation Exercise 2 - Manage a Centralized Office 365 ProPlus Installation Exercise 3 - Deploy and Configure Office Telemetry Components Module 11: Planning and Implementing Identity Synchronization Introduction to Identity Synchronization Planning for Azure AD Connect Implementing Azure AD Connect Managing Synchronized Identities Password Management in Microsoft 365 Module 12: Lab 5 - Implementing Identity Synchronization Exercise 1 - Set up your organization for identity synchronization Exercise 2 - Implement Identity Synchronization Module 13: Implementing Application and External Access Implementing Applications in Azure AD Configuring Azure AD App Proxy Designing Solutions for External Access TEST CERTIFICATION This course helps you to prepare for exam MS100. But as this is part of an expert certification you should already own one of the Microsoft 365 Associate certifications:  Modern Desktop Teamwork Administrator Security Administrator Messaging Administrator. [-]