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X-ORIGINAL-URL:https://thinksmartgulf.com
X-WR-CALDESC:Events for Thinksmart
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230213T090000
DTEND;TZID=UTC:20230221T150000
DTSTAMP:20260530T225319
CREATED:20230101T130903Z
LAST-MODIFIED:20230104T140226Z
UID:9971-1676278800-1676991600@thinksmartgulf.com
SUMMARY:Azure Administrator Associate
DESCRIPTION:Course Duration 32 hours\nAssessment :Online\n\nOverview\nThis course teaches IT Professionals how to manage their Azure subscriptions\, secure identities\, administer the infrastructure\, configure virtual networking\, connect Azure and on-premises sites\, manage network traffic\, implement storage solutions\, create and scale virtual machines\, implement web apps and containers\, back up and share data\, and monitor your solution. \nPre-requisites:\nLearners should have below technical knowledge: \n\nUnderstanding of on-premises virtualization technologies\, including: VMs\, virtual networking\, and virtual hard disks.\nUnderstanding of network configuration\, including TCP/IP\, Domain Name System (DNS)\, virtual private networks (VPNs)\, firewalls\, and encryption technologies.\nUnderstanding of Active Directory concepts\, including domains\, forests\, domain controllers\, replication\, Kerberos protocol\, and Lightweight Directory Access Protocol (LDAP).\nUnderstanding of resilience and disaster recovery\, including backup and restore operations.\n\nTopics \nModule 1: Identity \nIn this module\, you will learn how to secure identities with Azure Active Directory\, and implement users and groups. \nLessons \n\nAzure Active Directory\nUsers and Groups\n\nLab : Manage Azure Active Directory Identities \nAfter completing this module\, students will be able to: \n\nSecure and manage identities with Azure Active Directory.\nImplement and manage users and groups.\n\nModule 2: Governance and Compliance \nIn this module\, you will learn about managing your subscriptions and accounts\, implementing Azure policies\, and using Role-Based Access Control. \nLessons \n\nSubscriptions and Accounts\nAzure Policy\nRole-based Access Control (RBAC)\n\nLab : Manage Subscriptions and RBAC \nLab : Manage Governance via Azure Policy \nAfter completing this module\, students will be able to: \n\nImplement and manage Azure subscriptions and accounts.\nImplement Azure Policy\, including custom policies.\nUse RBAC to assign permissions.\n\nModule 3: Azure Administration \nIn this module\, you will learn about the tools an Azure Administrator uses to manage their infrastructure. This includes the Azure Portal\, Cloud Shell\, Azure PowerShell\, CLI\, and Resource Manager Templates. This module includes: \nLessons \n\nAzure Resource Manager\nAzure Administrator Tools\nARM Templates\n\nLab : Manage Azure resources by Using ARM Templates \nLab : Manage Azure resources by Using Azure PowerShell (optional) \nLab : Manage Azure resources by Using Azure CLI (optional) \nLab : Manage Azure resources by Using the Azure Portal \nAfter completing this module\, students will be able to: \n\nLeverage Azure Resource Manager to organize resources.\nUse the Azure Portal and Cloud Shell.\nUse Azure PowerShell and CLI.\nUse ARM Templates to deploy resources.\n\nModule 4: Virtual Networking \nIn this module\, you will learn about basic virtual networking concepts like virtual networks and subnetting\, IP addressing\, network security groups\, Azure Firewall\, and Azure DNS. \nLessons \n\nVirtual Networks\nNetwork Security groups\nAzure Firewall\nAzure DNS\n\nLab : Implement Virtual Networking \nAfter completing this module\, students will be able to: \n\nImplement virtual networks and subnets.\nConfigure network security groups.\nConfigure Azure Firewall.\nConfigure private and public DNS zones.\n\nModule 5: Intersite Connectivity \nIn this module\, you will learn about intersite connectivity features including VNet Peering\, Virtual Network Gateways\, and Site-to-Site Connections. \nLessons \n\nVNet Peering\nVPN Gateway Connections\nExpressRoute and Virtual WAN\n\nLab : Implement Intersite Connectivity \nAfter completing this module\, students will be able to: \n\nConfigure VNet Peering.\nConfigure VPN gateways.\nChoose the appropriate intersite connectivity solution.\n\nModule 6: Network Traffic Management \nIn this module\, you will learn about network traffic strategies including network routing and service endpoints\, Azure Load Balancer\, and Azure Application Gateway. \nLessons \n\nNetwork Routing and Endpoints\nAzure Load Balancer\nAzure Application Gateway\n\nLab : Implement Traffic Management \nAfter completing this module\, students will be able to: \n\nConfigure network routing including custom routes and service endpoints.\nConfigure an Azure Load Balancer.\nConfigure and Azure Application Gateway.\n\nModule 7: Azure Storage \nIn this module\, you will learn about basic storage features including storage accounts\, blob storage\, Azure files and File Sync\, storage security\, and storage tools. \nLessons \n\nStorage Accounts\nBlob Storage\nStorage Security\nAzure Files and File Sync\nManaging Storage\n\nLab : Manage Azure storage \nAfter completing this module\, students will be able to: \n\nCreate Azure storage accounts.\nConfigure blob containers.\nSecure Azure storage.\nConfigure Azure files shares and file sync.\nManage storage with tools such as Storage Explorer.\n\nModule 8: Azure Virtual Machines \nIn this module\, you will learn about Azure virtual machines including planning\, creating\, availability and extensions. \nLessons \n\nVirtual Machine Planning\nCreating Virtual Machines\nVirtual Machine Availability\nVirtual Machine Extensions\n\nLab : Manage virtual machines \nAfter completing this module\, students will be able to: \n\nPlan for virtual machine implementations.\nCreate virtual machines.\nConfigure virtual machine availability\, including scale sets.\nUse virtual machine extensions.\n\nModule 9: PaaS Compute Options \nIn this module\, you will learn how to administer serverless computing features like Azure App Service\, Azure Container Instances\, and Kubernetes. \nLessons \n\nAzure App Service Plans\nAzure App Service\nContainer Services\nAzure Kubernetes Service\n\nLab : Implement Web Apps \nLab : Implement Azure Kubernetes Service \nLab : Implement Azure Container Instances \nAfter completing this module\, students will be able to: \n\nCreate an app service plan.\nCreate a web app.\nImplement Azure Container Instances.\nImplement Azure Kubernetes Service.\n\nModule 10: Data Protection \nIn this module\, you will learn about backing up files and folders\, and virtual machine backups. \nLessons \n\nFile and Folder Backups\nVirtual Machine Backups\n\nLab : Implement Data Protection \nAfter completing this module\, students will be able to: \n\nBackup and restore file and folders.\nBackup and restore virtual machines.\n\nModule 11: Monitoring \nIn this module\, you will learn about monitoring your Azure infrastructure including Azure Monitor\, alerting\, and log analytics. \nLessons \n\nAzure Monitor\nAzure Alerts\nLog Analytics\nNetwork Watcher\n\nLab : Implement Monitoring \nAfter completing this module\, students will be able to: \n\nUse Azure Monitor.\nCreate Azure alerts.\nQuery using Log Analytics.\nUse Network Watcher.\n\nExam Code / Name\nAZ-104 \nCourse Objectives\n\nManage Azure identities and governance\nImplement and manage storage\nDeploy and manage Azure compute resources\nConfigure and manage virtual networking\nMonitor and back up Azure resources\n\nLearning Path\nCourse AZ-305: Designing Microsoft Azure Infrastructure Solutions \nWebsite\nhttps://docs.microsoft.com/en-us/learn/certifications/courses/az-104t00
URL:https://thinksmartgulf.com/calender/azure-administrator-associate/
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DTSTART;TZID=UTC:20230218T090000
DTEND;TZID=UTC:20230220T150000
DTSTAMP:20260530T225319
CREATED:20230101T095615Z
LAST-MODIFIED:20230103T140904Z
UID:11952-1676710800-1676905200@thinksmartgulf.com
SUMMARY:Microsoft Certified Power BI Data Analyst Associate (PL-300)
DESCRIPTION:Mode: Physical\n\nCourse Description:\nThis course will discuss the various methods and best practices that are in line with business and technical requirements for modeling\, visualizing\, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally\, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI. \nPre-requisites:\n\nUnderstanding core data concepts.\nKnowledge of working with relational data in the cloud.\nKnowledge of working with non-relational data in the cloud.\nKnowledge of data analysis and visualization concepts.\n\nCourse Outline:\nModule 1: Get Started with Microsoft Data Analytics \nModule 2: Prepare Data in Power BI \nModule 3: Clean\, Transform\, and Load Data in Power BI \nModule 4: Design a Data Model in Power BI \nModule 5: Create Model Calculations using DAX in Power BI \nModule 6: Optimize Model Performance \nModule 7: Create Reports \nModule 8: Create Dashboards \nModule 9: Create Paginated Reports in Power BI \nModule 10: Perform Advanced Analytics \nModule 11: Create and Manage Workspaces \nModule 12: Manage Datasets in Power BI \nModule 13: Row-level security \nRegister Here\n Please enable JavaScript in your browser to complete this form.Please Add your Name *FirstLastEmail address *EmailConfirm EmailMobile NumberEnter your phone number for example +973xxxxChoose the course you are interested in *Microsoft Azure AdministratorMicrosoft Power Platform FundamentalsMicrosoft Data Analyst AssociateMicrosoft Azure DeveloperMicrosoft Security EngineerMicrosoft Data ScientistMicrosoft Azure Solutions ArchitectMicrosoft Azure FundamentalsMicrosoft Modern Desktop AdministratorMicrosoft Messaging AdministratorMicrosoft Teams AdministratorMicrosoft Security AdministratorMicrosoft Enterprise AdministratorMicrosoft 365 FundamentalsMicrosoft Power Platform FundamentalsMicrosoft Azure AI FundamentalsMicrosoft Azure AI Engineer AssociateMicrosoft Develop Generative AI Solutions with Azure OpenAI ServiceHow did you discover us? *GoogleInstagramLinkedInFacebookWord of mouth / FriendEmailSubmit
URL:https://thinksmartgulf.com/calender/microsoft-certified-power-bi-data-analyst-associate-pl-300/
ORGANIZER;CN="ThinkSmart%20-%20Microsoft%20Organizer":MAILTO:info@thinksmartgulf.com
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230219T090000
DTEND;TZID=UTC:20230222T170000
DTSTAMP:20260530T225319
CREATED:20230101T104801Z
LAST-MODIFIED:20230103T140611Z
UID:11955-1676797200-1677085200@thinksmartgulf.com
SUMMARY:Data Engineering on Microsoft Azure (DP-203)
DESCRIPTION:Mode: Physical\n\nOverview\nIn this course\, the student will learn about the data engineering as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks\, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how to create a real-time analytical system to create real-time analytical solutions. \nPrerequisites:\nSuccessful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. \nDuration:\n4 Days \nLearning Path\n\nAzure DevOps Solutions\nAzure Architect Technologies\n\n  \nTopics:\nModule 1: Explore compute and storage options for data engineering workloads \nModule 2: Run interactive queries using Azure Synapse Analytics serverless SQL pools \nModule 3: Data exploration and transformation in Azure Databricks \nModule 4: Explore\, transform\, and load data into the Data Warehouse using Apache Spark \nModule 5: Ingest and load data into the data warehouse \nModule 6: Transform data with Azure Data Factory or Azure Synapse Pipelines \nModule 7: Orchestrate data movement and transformation in Azure Synapse Pipelines \nModule 8: End-to-end security with Azure Synapse Analytics \nModule 9: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link \nModule 10: Real-time Stream Processing with Stream Analytics \nModule 11: Create a Stream Processing Solution with Event Hubs and Azure Databricks \nLink: \nhttps://docs.microsoft.com/en-us/learn/certifications/azure-data-engineer \nPlease enable JavaScript in your browser to complete this form.Please Add your Name *FirstLastEmail address *EmailConfirm EmailMobile NumberEnter your phone number for example +973xxxxChoose the course you are interested in *Microsoft Azure AdministratorMicrosoft Power Platform FundamentalsMicrosoft Data Analyst AssociateMicrosoft Azure DeveloperMicrosoft Security EngineerMicrosoft Data ScientistMicrosoft Azure Solutions ArchitectMicrosoft Azure FundamentalsMicrosoft Modern Desktop AdministratorMicrosoft Messaging AdministratorMicrosoft Teams AdministratorMicrosoft Security AdministratorMicrosoft Enterprise AdministratorMicrosoft 365 FundamentalsMicrosoft Power Platform FundamentalsMicrosoft Azure AI FundamentalsMicrosoft Azure AI Engineer AssociateMicrosoft Develop Generative AI Solutions with Azure OpenAI ServiceHow did you discover us? *GoogleInstagramLinkedInFacebookWord of mouth / FriendEmailSubmit
URL:https://thinksmartgulf.com/calender/data-engineering-on-microsoft-azure-dp-203/
ORGANIZER;CN="ThinkSmart%20-%20Microsoft%20Organizer":MAILTO:info@thinksmartgulf.com
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