Oversikt over relevante kurs innen IT-kurs i Uppsala County

AZ-1008: Administer Active Directory Domain Services [-]

Understand the purpose and key concepts of Deployment Management, highlighting its importance in managing the deployment of new or changed services into the live environment. This eLearning is: Interactive Self-paced   Device-friendly   2-3 hours of content   Mobile-optimised   Exam: 20 questions Multiple choise 30 minutes Closed book Minimum required score to pass: 65% [-]

Understand the key concepts of Relationship Management, Supplier Management, Service Level Management, Continual Improvement, and Information Security Management, elucidating their significance in fostering collaboration, ensuring service quality, driving continual improvement, and maintaining information security. This eLearning is: Interactive Self-paced   Device-friendly   12 hours content   Mobile-optimised   Practical exercises   Exam: 60 questions Multiple choise 90 minutes Closed book Minimum required score to pass: 65% [-]

Understand the purpose and key concepts of the Service Level Management Practice, elucidating its significance in defining, negotiating, and managing service levels to meet customer expectations. 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% [-]

  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.    [-]

COURSE OVERVIEW This course is comprised of the following Microsoft Official Curriculum modules: MS-500T01 Managing Microsoft 365 Identity and Access, MS-500T02 Implementing Microsoft 365 Threat Protection, MS-500T03 Implementing Microsoft 365 Information Protection and MS-500T04 Administering Microsoft 365 Built-in Compliance.   MS-500T01 Managing Microsoft 365 Identity and Access Help protect against credential compromise with identity and access management. In this course you will learn how to secure user access to your organization’s resources. Specifically, this course covers user password protection, multi-factor authentication, how to enable Azure Identity Protection, how to configure Active Directory federation services, how to setup and use Azure AD Connect, and introduces you to Conditional Access. You will also learn about solutions for managing external access to your Microsoft 365 system.   MS500T02 Implementing Microsoft 365 Threat Protection Threat protection helps stop damaging attacks with integrated and automated security. In this course you will learn about threat protection technologies that help protect your Microsoft 365 environment. Specifically, you will learn about threat vectors and Microsoft’s security solutions for them. You will learn about Secure Score, Exchange Online protection, Azure Advanced Threat Protection, Windows Defender Advanced Threat Protection, and how to use Microsoft 365 Threat Intelligence. It also discusses securing mobile devices and applications. The goal of this course is to help you configure your Microsoft 365 deployment to achieve your desired security posture.   MS500T03 Implementing Microsoft 365 Information Protection Information protection is the concept of locating and classifying data anywhere it lives. In this course you will learn about information protection technologies that help secure your Microsoft 365 environment. Specifically, this course discusses information rights managed content, message encryption, as well as labels, policies and rules that support data loss prevention and information protection. Lastly, the course explains the deployment of Microsoft Cloud App Security.   MS500T04 Administering Microsoft 365 Built-in Compliance Internal policies and external requirements for data retention and investigation may be necessary for your organization. In this course you will learn about archiving and retention in Microsoft 365 as well as data governance and how to conduct content searches and investigations. Specifically, this course covers data retention policies and tags, in-place records management for SharePoint, email retention, and how to conduct content searches that support eDiscovery investigations. The course also helps your organization prepare for Global Data Protection Regulation (GDPR).   Virtual Learning   This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins. TARGET AUDIENCE This course is for the Microsoft 365 security administrator role. This role collaborates with the Microsoft 365 Enterprise Administrator, business stakeholders and other workload administrators to plan and implement security strategies and ensures that the solutions comply with the policies and regulations of the organization. COURSE CONTENT Module 1: User and Group Security This module explains how to manage user accounts and groups in Microsoft 365. It introduces you to Privileged Identity Management in Azure AD as well as Identity Protection. The module sets the foundation for the remainder of the course.   Module 2: Identity Synchronization This module explains concepts related to synchronizing identities. Specifically, it focuses on Azure AD Connect and managing directory synchronization to ensure the right people are connecting to your Microsoft 365 system.   Module 3: Federated Identities This module is all about Active Directory Federation Services (AD FS). Specifically, you will learn how to plan and manage AD FS to achieve the level of access you want to provide users from other directories.   Module 4: Access Management This module describes Conditional Access for Microsoft 365 and how it can be used to control access to resources in your organization. The module also explains Role Based Access Control (RBAC) and solutions for external access.   Module 5: Security in Microsoft 365 This module starts by explaining the various cyber-attack threats that exist. It then introduces you to the Microsoft solutions to thwart those threats. The module finishes with an explanation of Microsoft Secure Score and how it can be used to evaluate and report your organizations security posture.   Module 6: Advanced Threat Protection This module explains the various threat protection technologies and services available in Microsoft 365. Specifically, the module covers message protection through Exchange Online Protection, Azure Advanced Threat Protection and Windows Defender Advanced Threat Protection.   Module 7: Threat Intelligence This module explains Microsoft Threat Intelligence which provides you with the tools to evaluate and address cyber threats. You will learn how to use the Security Dashboard in the Microsoft 365 Security and Compliance Center. It also explains and configures Microsoft Advanced Threat Analytics.   Module 8: Mobility This module is all about securing mobile devices and applications. You will learn about Mobile Device Management and how it works with Intune. You will also learn about how Intune and Azure AD can be used to secure mobile applications.   Module 9: Information Protection This module explains information rights management in Exchange and SharePoint. It also describes encryption technologies used to secure messages. The module introduces how to implement Azure Information Protection and Windows Information Protection.   Module 10: Data Loss Prevention This module is all about data loss prevention in Microsoft 365. You will learn about how to create policies, edit rules, and customize user notifications.   Module 11: Cloud Application Security This module is all about cloud app security for Microsoft 365. The module will explain cloud discovery, app connectors, policies, and alerts.     [-]

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 [-]

TOGAF® EA Course Combined [-]

Visste du at det er fullt mulig å lage et interaktivt PDF-dokument i Adobe InDesign? Faktisk er det ikke så vanskelig når du først har forstått hvordan det fungerer. Et interaktivt PDF-dokument kan inkludere elementer som bokmerker, destinasjoner, linker, knapper, tekstfelt, kombinasjonsbokser, avkrysningsbokser, radioknapper, og mye mer. I dette kurset vil Espen Faugstad guide deg gjennom prosessen med å lage et interaktivt PDF-dokument ved hjelp av Adobe InDesign CC 2020. Du vil lære å opprette bokmerker, destinasjoner, linker og knapper. I tillegg vil du lære å utvikle utfyllingsskjemaer som inkluderer tekstfelt, kombinasjonsbokser, avkrysningsbokser, radioknapper og mer. Til slutt vil du bli veiledet gjennom eksporteringen av prosjektet som en PDF-fil. Dette kurset er delt inn i følgende kapitler: Kapittel 1: Introduksjon Kapittel 2: Interaktivitet Kapittel 3: Skjema Kapittel 4: Eksportere Kapittel 5: Avslutning Gjennom kurset vil du få de nødvendige ferdighetene for å skape interaktive PDF-dokumenter som kan være nyttige i en rekke sammenhenger, inkludert presentasjoner, rapporter, og mer.   Varighet: 1 time og 37 minutter   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. [-]

  Studieår: 2013-2014   Gjennomføring: Høst og vår Antall studiepoeng: 5.0 Forutsetninger: IT Introduksjon eller tilsvarende. Innleveringer: Øvinger: 8 må være godkjent.  Personlig veileder: ja Vurderingsform: Skriftlig eksamen, 3 timer Ansvarlig: Tore Mallaug Eksamensdato: 09.12.13 / 08.05.14         Læremål: Etter å ha gjennomført emnet skal studenten ha følgende samlede læringsutbytte: KUNNSKAPER:Kandidaten skal:- kjenne sentrale begreper innen databaser og datamodellering, og kan gjøre rede for disse- forstå hvordan en relasjonsdatabase er bygd opp ved å se på relasjonene (tabellene) og tilhørende nøkler- forstå (tolke) et (E)ER-diagram modellert i fagets gjeldende notasjon, og vite hvordan dette kan oversettes til relasjonsmodellen- gjøre rede for hvordan databaser kan fungere i en klient/tjener-arkitektur. FERDIGHETER:Kandidaten skal kunne:- tegne sitt eget (E)ER-diagram for å oppnå en god databasestruktur- lage sin egen normaliserte relasjonsdatabase med nøkler og referanseintegritet, og opprette databasen i et valgt databaseverktøy (databasesystem)- utføre SQL-spørringer mot en gitt database- lage en relasjonsdatabase som støtter opp om funksjonaliteten til et gitt grafisk brukergrensesnitt GENERELL KOMPETANSEKandidaten- viser en bevisst holdning til strukturell lagring og representasjon av data i et informasjonssystem- viser en bevisst holdning til databasedesign for å unngå unødvendig dobbeltlagring av data i en database Innhold:Innføring i datamodellering med EER og UML-notasjon. Design av relasjonsdatabase inkl. bruk av nøkler, referanseintegritet og enkel normalisering. Databasedefinisjon (DDL) og datamanipulering (DML) i SQL. Bruk av et valgt databaseverktøy (MySQL), se sammenhengen mellom datamodell, databaseverktøy og applikasjon / web-grensesnitt (klient/tjener -arkitektur).Les mer om faget herDemo: Her er en introduksjonsvideo for faget Påmeldingsfrist: 25.08.13 / 25.01.14         Velg semester:  Høst 2013    Vår 2014     Fag Databaser 4980,-         Semesteravgift og eksamenskostnader kommer i tillegg.  [-]

Dette kurset tilbys som bedriftsinternt kurs   Maskinlæring handler om sette datamaskiner i stand til å lære fra og utvikle atferd basert på data. Det vil si at en datamaskin kan løse en oppgave den ikke er eksplisitt programmert for å håndtere. I stedet er den i stand til å automatisk lære gjenkjenning av komplekse mønstre i data og gjøre beslutninger basert på dette disse. Maskinlæring gir store muligheter, men mange bedrifter har problemer med å ta teknologien i bruk. Nøyaktig hvilke oppgaver kan maskinlæring utføre, og hvordan kommer man i gang? Dette kurset gir oversikt over mulighetene som ligger i maskinlæring, og hvordan i tillegg til kunnskap om hvordan teknologien kan løse oppgaver og skape resultater i praksis. Hva er maskinlæring, datavitenskap og kunstig intelligens og hvordan det er relatert til statistikk og dataanalyse? Hvordan å utvinne kunnskap fra dataene dine? Hva betyr Big data og hvordan analyseres det? Hvor og hvordan skal du bruke maskinlæring til dine daglige forretningsproblemer? Hvordan bruke datamønstre til å ta avgjørelser og spådommer med eksempler fra den virkelige verden? Hvilke typer forretningsproblemer kan en maskinen lære å håndtere Muligheter som maskinlæring gir din bedrift Hva er de teoretiske aspekter på metoder innen maskinlæring? Hvilke ML-metoder som er relevante for ulike problemstillinger innen dataanalyse? Hvordan evaluere styrker og svakheter mellom disse algoritmene og velge den beste? Anvendt data science og konkrete kunde eksempler i praksis   Målsetning Kurset gir kunnskap om hvordan maskinlæring kan løse et bestemt problem og hvilke metoder som egner seg i en gitt situasjon. Du blir i stand til å kan skaffe deg innsikt i data, og vil kunne identifisere egenskapene som representerer dem best. Du kjenner de viktigste maskinlæringsalgoritmene og hvilke metoder som evaluerer ytelsen deres best. Dette gir grunnlag for kontinuerlig forbedring av løsninger basert på maskinlæring.   [-]

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 [-]

TOGAF® EA Training Foundation [-]

 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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Oppdag kraften i effektivt samarbeid med Microsoft Teams gjennom dette omfattende nettkurset ledet av Espen Faugstad. Kurset er skreddersydd for å gi deg en grundig forståelse av Teams' funksjoner, slik at du kan styrke kommunikasjon og samarbeid i organisasjonen din. Lær å navigere i Teams, administrere teams og kanaler, chatte effektivt, holde møter, og dele filer, samt integrere med andre Microsoft 365-applikasjoner og tredjepartsverktøy. Dette kurset er ideelt for alle roller – fra de som er ansvarlige for administrasjonen av Microsoft Teams, til teamledere som ønsker å forbedre samarbeidet, og ansatte som ønsker å jobbe mer effektivt. Meld deg på i dag for å bli en ekspert i Microsoft Teams og ta skrittet mot en mer effektiv og produktiv arbeidshverdag med veiledning fra Espen Faugstad.   Innhold: Kapittel 1: Introduksjon Kapittel 2: Kom i gang Kapittel 3: Teams og kanaler Kapittel 4: Kommunikasjon Kapittel 5: Møter og videosamtaler Kapittel 6: Filhåndtering og samarbeid Kapittel 7: Ekstra funksjonalitet Kapittel 8: Avslutning   Varighet: 1 time og 47 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. [-]