2558 Architect courses

Duration 4 Days 24 CPD hours This course is intended for The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications. This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases. Prerequisites In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Prepare to maintain SQL databases on Azure Describe Microsoft Intelligent Data Platform roles Understand SQL Server in an Azure virtual machine Design Azure SQL Database for cloud-native applications Explore Azure SQL Database Managed Instance 2 - Deploy IaaS solutions with Azure SQL Explain IaaS options to deploy SQL Server in Azure Understand hybrid scenarios Explore performance and security Explain high availability and disaster recovery options 3 - Deploy PaaS solutions with Azure SQL Explain PaaS options for deploying SQL Server in Azure Explore single SQL database Deploy SQL database elastic pool Understand SQL database hyperscale Examine SQL managed instance Describe SQL Edge 4 - Evaluate strategies for migrating to Azure SQL Understand compatibility level Understand Azure preview features Describe Azure database migration options 5 - Migrate SQL workloads to Azure SQL databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL Database offline Migrate SQL Server to Azure SQL Database online Load and move data to Azure SQL Database 6 - Migrate SQL workloads to Azure Managed Instances Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed Instance Load and Move data to SQL Database Managed Instance 7 - Configure database authentication and authorization Describe Active Directory and Azure Active Directory Describe authentication and identities Describe Security Principals Describe database and object permissions Identify authentication and authorization failures 8 - Protect data in-transit and at rest Explore Transparent Data Encryption Configure server and database firewall rules Explain object encryption and secure enclaves Enable encrypted connections Describe SQL injection Understand Azure Key Vault 9 - Implement compliance controls for sensitive data Explore data classification Explore server and database audit Implement Dynamic Data Masking Implement Row Level security Understand Microsoft Defender for SQL Explore Azure SQL Database Ledger Implement Azure Purview 10 - Describe performance monitoring Describe performance monitoring tools Describe critical performance metrics Establish baseline metrics Explore extended events Describe Azure SQL Insights Explore Query Performance Insight 11 - Configure SQL Server resources for optimal performance Explain how to optimize Azure storage for SQL Server virtual machines Describe virtual machine resizing Optimize database storage Control SQL Server resources 12 - Configure databases for optimal performance Explore database maintenance checks Describe database scoped configuration options Describe automatic tuning Describe intelligent query processing 13 - Explore query performance optimization Understand query plans Explain estimated and actual query plans Describe dynamic management views and functions Explore Query Store Identify problematic query plans Describe blocking and locking 14 - Evaluate performance improvements Describe wait statistics Tune and maintain indexes Understand query hints 15 - Explore performance-based design Describe normalization Choose appropriate data types Design indexes 16 - Automate deployment of database resources Describe deployment models in Azure Automate deployment by using Azure Resource Manager templates and Bicep Automate deployment by using PowerShell Automate deployment by using Azure CLI 17 - Create and manage SQL Agent jobs Create a SQL Server maintenance plan Describe task status notifications 18 - Manage Azure PaaS tasks using automation Explore Elastic jobs Understand Azure Automation Build an automation runbook Automate database workflows by using Logic Apps Monitor automated tasks 19 - Describe high availability and disaster recovery strategies Describe recovery time objective and recovery point objective Explore high availability and disaster recovery options Describe Azure high availability and disaster recovery features for Azure Virtual Machines Describe high availability and disaster recovery options for PaaS deployments Explore an IaaS high availability and disaster recovery solution Describe hybrid solutions 20 - Explore IaaS and PaaS solutions for high availability and disaster recovery Describe failover clusters in Windows Server Configure Always-on availability groups Describe temporal tables in Azure SQL Database Describe active geo-replication for Azure SQL Database Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance 21 - Back up and restore databases Back up and restore SQL Server running on Azure virtual machines Back up a SQL Server virtual machine Back up and restore a database using Azure SQL Database Additional course details: Nexus Humans DP-300T00: Administering Microsoft Azure SQL Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the DP-300T00: Administering Microsoft Azure SQL Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the DP-203T00 Data Engineering on Microsoft Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for 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. This course teaches IT Professionals to configure advanced Windows Server services using on-premises, hybrid, and cloud technologies. 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 secure Azure VMs running Windows Server. The course also teaches IT Professionals how to perform tasks related to high availability, troubleshooting, and disaster recovery. The course highlights 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. Prerequisites An understanding of the following concepts as related to Windows Server technologies: High availability and disaster recovery Automation Monitoring Troubleshooting 1 - Secure Windows Server user accounts Configure user account rights Protect user accounts with the Protected Users group Describe Windows Defender Credential Guard Block NTLM authentication Locate problematic accounts 2 - Hardening Windows Server Describe Local Password Administrator Solution Configure Privileged Access Workstations Secure domain controllers Analyze security configuration with Security Compliance Toolkit Secure SMB traffic 3 - Windows Server update management Explore Windows Update Outline Windows Server Update Services server deployment options Define Windows Server Update Services update management process Describe the process of Update Management 4 - Secure Windows Server DNS Implement split-horizon DNS Create DNS policies Implement DNS policies Secure Windows Server DNS Implement DNSSEC 5 - Implement Windows Server IaaS VM network security Implement network security groups and Windows IaaS VMs Implement adaptive network hardening Implement Azure Firewall and Windows IaaS VMs Implement Windows firewall with Windows Server IaaS VMs Choose the appropriate filtering solution Deploy and configure Azure firewall using the Azure portal Capture network traffic with network watcher Log network traffic to and from a VM using the Azure portal 6 - Audit the security of Windows Server IaaS Virtual Machines Describe Azure Security Center Enable Azure Security Center in hybrid environments Implement and assess security policies Protect your resources with Azure Security Center Implement Azure Sentinel 7 - Manage Azure updates Describe update management Enable update management Deploy updates View update assessments Manage updates for your Azure Virtual Machines 8 - Create and implement application allowlists with adaptive application control Describe adaptive application control Implement adaptive application control policies 9 - Configure BitLocker disk encryption for Windows IaaS Virtual Machines Describe Azure Disk Encryption and server-side encryption Configure Key Vault for Azure Disk Encryption Encrypt Azure IaaS Virtual Machine hard disks Back up and recover data from encrypted disks Create and encrypt a Windows Virtual Machine 10 - Implement change tracking and file integrity monitoring for Windows IaaS VMs Implement Change Tracking and Inventory Manage Change Tracking and Inventory Manage tracked files Implement File Integrity Monitoring Select and monitor entities Use File Integrity Monitoring 11 - Introduction to Cluster Shared Volumes Determine the functionality of Cluster Shared Volumes Explore the architecture and components of Cluster Shared Volumes Implement Cluster Shared Volumes 12 - Implement Windows Server failover clustering Define Windows Server failover clustering Plan Windows Server failover clustering Implement Windows Server failover clustering Manage Windows Server failover clustering Implement stretch clusters Define cluster sets 13 - Implement high availability of Windows Server VMs Select high-availability options for Hyper-V Consider network load balancing for Hyper-V VMs Implement Hyper-V VM live migration Implement Hyper-V VMs storage migration 14 - Implement Windows Server File Server high availability Explore the Windows Server File Server high-availability options Define Cluster Shared Volumes Implement Scale-Out File Server Implement Storage Replica 15 - Implement scale and high availability with Windows Server VM Describe virtual machine scale sets Implement scaling Implement load-balancing VMs Create a virtual machine scale set in the Azure portal Describe Azure Site Recovery Implement Azure Site Recovery 16 - Implement Hyper-V Replica Define Hyper-V Replica Plan for Hyper-V Replica Configure and implement Hyper-V Replica Define extended replication Define Azure Site Recovery Implement Site Recovery from on-premises site to Azure Implement Site Recovery from on-premises site to on-premises site 17 - Protect your on-premises infrastructure from disasters with Azure Site Recovery Azure Site Recovery overview Workloads supported for protection with Azure Site Recovery Run a disaster recovery drill Failover and failback 18 - Implement hybrid backup and recovery with Windows Server IaaS Describe Azure Backup Implement recovery vaults Implement Azure Backup policies Recover Windows IaaS Virtual Machines Perform file and folder recovery Perform backup and restore of on-premises workloads Manage Azure Virtual Machine backups with Azure Backup service 19 - Protect your Azure infrastructure with Azure Site Recovery What is Azure Site Recovery Prepare for disaster recovery with Azure Site Recovery Run a disaster recovery drill Failover and failback using Azure Site Recovery 20 - Protect your virtual machines by using Azure Backup Azure Backup features and scenarios Back up an Azure virtual machine by using Azure Backup Restore virtual machine data 21 - Active Directory Domain Services migration Examine upgrade vs. migration Upgrade a previous version of Active Directory Domain Services to Windows Server 2022 Migrate to Active Directory Domain Services in Windows Server 2022 from a previous version Explore the Active Directory Migration Tool 22 - Migrate file server workloads using Storage Migration Service Storage Migration Service overview and usage scenarios Storage migration requirements Migrate a server with Storage migration Evaluate storage migration considerations 23 - Migrate Windows Server roles Describe the Windows Server Migration Tools Install the Migration Tools Migrate roles using the Migration Tools 24 - Migrate on-premises Windows Server instances to Azure IaaS virtual machines Plan your migration Describe Azure Migrate Perform server assessment Assess physical servers with Azure Migrate Migrate Windows Server workloads by using Azure Migrate 25 - Upgrade and migrate Windows Server IaaS virtual machines Describe Azure Migrate Migrate Windows Server workloads by using Azure Migrate Describe storage migration Migrate file servers by using Storage Migration Service 26 - Containerize and migrate ASP.NET applications to Azure App Service Azure Migrate App Containerization overview 27 - Monitor Windows Server performance Use Performance Monitor to identify performance problems Use Resource Monitor to review current resource usage Review reliability with Reliability Monitor Implement a performance monitoring methodology Use Data Collector Sets to analyze server performance Monitor network infrastructure services Monitor virtual machines running Windows Server Monitor performance with Windows Admin Center Use System Insights to help predict future capacity issues Optimize the performance of Windows Server 28 - Manage and monitor Windows Server event logs Describe Windows Server event logs Use Windows Admin Center to review logs Use Server Manager to review logs Use custom views Implement event log subscriptions 29 - Implement Windows Server auditing and diagnostics Describe basic auditing categories Describe advanced categories Log user access Enable setup and boot event collection 30 - Troubleshoot Active Directory Recover objects from the AD recycle bin Recover the AD DS database Recover SYSVOL Troubleshoot AD DS replication Troubleshoot hybrid authentication issues 31 - Monitor Windows Server IaaS Virtual Machines and hybrid instances Enable Azure Monitor for Virtual Machines Monitor an Azure Virtual Machine with Azure Monitor Enable Azure Monitor in hybrid scenarios Collect data from a Windows computer in a hybrid environment Integrate Azure Monitor with Microsoft Operations Manager 32 - Monitor your Azure virtual machines with Azure Monitor Monitoring for Azure VMs Monitor VM host data Use Metrics Explorer to view detailed host metrics Collect client performance counters by using VM insights Collect VM client event logs 33 - Troubleshoot on-premises and hybrid networking Diagnose DHCP proble

Duration 4 Days 24 CPD hours This course is intended for Students in this course are interested in Microsoft Teams or in passing the Microsoft Teams Administrator Associate certification exam. A Microsoft Teams administrator plans, deploys, configures, and manages Microsoft Teams to focus on efficient and effective collaboration and communication in a Microsoft 365 environment. A Microsoft Teams administrator must be able to plan, deploy, and manage teams, chat, apps, channels, meetings, audio/video conferencing, live events, calling, and Teams certified devices. A Microsoft Teams administrator has experience integrating Microsoft Teams with SharePoint, OneDrive, Exchange, Microsoft 365 Groups, and other Microsoft, third-party, and custom apps. A Microsoft Teams administrator understands and collaborates with other workloads and roles, such as Network, Voice, Identity, Access, Devices, Licensing, Security, Compliance, Information management, and User Adoption. Overview What is Microsoft Teams and how the components work together How to implement Governance, Security and Compliance for Microsoft Teams How to prepare an organizations environment for a Microsoft Teams deployment How to deploy and manage teams How to manage collaboration and communication experiences in Microsoft Teams Techniques to manage and troubleshoot communication in Microsoft Teams The Managing Microsoft Teams course is designed for persons who are aspiring to the Microsoft 365 Teams Admin role. A Microsoft Teams administrator plans, deploys, configures, and manages Microsoft Teams to focus on efficient and effective collaboration and communication in a Microsoft 365 environment. In this course, you will learn about various Teams management tools, security and compliance feature for Teams, network requirement for Teams deployment as well as different Teams settings and policies for managing collaboration and communication experience in Teams. Prerequisites A proficient understanding of basic functional experience with Microsoft 365 services. A proficient understanding of general IT practices, including using PowerShell. 1 - Explore Microsoft Teams Explore capabilities in Microsoft Teams Explore Microsoft Teams integration with Microsoft 365 Explore Microsoft Teams integration with Microsoft Power Platform Illustrate Microsoft Teams architecture Describe Microsoft Teams with Microsoft 365 Groups Describe Microsoft Teams with SharePoint and OneDrive Describe Microsoft Teams with Exchange Understand Microsoft Teams certified solutions 2 - Plan and deploy Microsoft Teams Designate Teams admin roles Understand Teams management tools Plan for Teams rollout Plan for Teams adoption Plan for Teams licensing Deploy Microsoft Teams clients 3 - Implement lifecycle management and governance for Microsoft Teams Plan for lifecycle management Plan for Teams governance Manage Microsoft 365 Groups creation Configure Microsoft 365 Groups expiration policy Configure Microsoft 365 Groups naming policy Plan policy assignment for users and groups Create and manage policy packages Manage Teams preview features using Teams update policies Create and manage teams templates and template policies 4 - Monitor your Microsoft Teams environment Monitor Microsoft Teams usage reports Monitor Microsoft 365 usage reports Interpret Microsoft Adoption Score Manage user access with Azure Active Directory access reviews Monitor the Microsoft 365 network connectivity dashboard Manage Teams notifications and alerts Manage feedback policies 5 - Manage access for external users Understand features in Azure Active Directory Work with external users in Microsoft Teams Manage access for external users Manage external collaboration in Azure AD Manage external collaboration in Microsoft 365 Manage external access in Microsoft Teams Manage guest access in Microsoft Teams Manage file sharing in SharePoint and OneDrive 6 - Implement security for Microsoft Teams Configure conditional access and multifactor authentication for Microsoft Teams Configure Safe Attachments for Microsoft Teams Configure Safe Links for Microsoft Teams Examine the Defender for Cloud Apps Monitor security reports for Microsoft Teams Plan and configure enhanced encryption policies 7 - Implement compliance for Microsoft Teams Create and manage sensitivity labels Create and manage retention policies Create and manage Data Loss Prevention policies Deploy communication compliance Enable scoped directory search Create information barrier policy Create security and compliance alerts for Microsoft Teams 8 - Plan and configure network settings for Microsoft Teams Examine network requirements for Microsoft Teams Plan for network deployment using Network Planner Configure network ports and protocols for Microsoft Teams Implement Quality of Service Configure reporting labels for location-enhanced Call Analytics reports Configure tenant data for Call Quality Dashboard reports Assess network readiness Manage network topology 9 - Create and manage teams Create teams Create a team from existing resources Plan and create org-wide teams Manage teams Manage users in a team Configure dynamic membership Archive restore and delete a team 10 - Manage collaboration experiences for chat and channels Create and manage channels in a team Create and manage Teams policies for channels Configure teams settings Create and manage messaging policies Manage channel moderation Manage access to channels 11 - Manage apps for Microsoft Teams Explore apps in Microsoft Teams Describe admin settings for Teams apps Manage access to Teams apps at the organization level Create and manage app permission policies Create and manage app setup policies Manage permissions and consent for Teams apps Plan and configure connectors Manage custom apps uploads Publish custom apps to Microsoft Teams Manage purchasing of apps in the Microsoft Teams app store Customize the organization's app store Customize the branded experience of an app 12 - Introduction to Teams meetings and calling Overview of Teams meetings and events Overview of Teams Phone Overview of auto attendants and call queues Overview of Teams devices 13 - Manage meetings and events experiences Explore meetings and events in Microsoft Teams Configure meeting settings Create and manage meeting policies Configure audio conferencing Create and manage meeting templates and template policies Create and manage meetings customization policies Configure live events settings Create and manage live events policies Examine live events across Microsoft 365 14 - Plan for Microsoft Teams Rooms and Surface Hub Determine license requirements for Microsoft Teams Rooms and shared devices Understand differences between Microsoft Teams Rooms on Android and Windows Understand Microsoft Teams Rooms on Surface Hub 2S Understand and plan Teams Room accessories, components, and peripherals Understand Teams Rooms management options 15 - Configure, deploy, and manage Teams devices Manage Microsoft Teams Phones Manage Microsoft Teams Room Systems Microsoft Teams Rooms management options Manage Surface Hub 2S devices Configure Microsoft Teams SIP gateway Manage Microsoft Teams displays Remote provisioning and sign in for Teams Phones Update Microsoft Teams devices remotely Manage Microsoft Teams device tags 16 - Plan for Teams Phone Plan to deploy Teams Phone Plan for Teams Phone PSTN connectivity Determine license requirements Plan for Teams Phone devices Plan and design Teams Phone features Plan for voicemail 17 - Configure and deploy Teams Phone Configure emergency calling for Teams Calling Plans Manage and configure Microsoft PSTN numbers Configure Operator Connect and Teams Phone Mobile Configure Teams Phone policies Create and manage Teams policies Configure Audio Conferencing 18 - Configure and manage voice users Enable users for Teams Phone Enable users for Direct Routing with Teams Phone Enable additional calling features for Teams Phone Enable users for Teams Phone Mobile 19 - Configure auto attendants and call queues Design call flows for auto attendants and call queues Configure auto attendants and call queues Deploy a channel-based call queue Configure resource accounts Configure Microsoft 365 groups for voicemail Interpret call queue conference modes Interpret call queue routing methods Configure holidays for auto attendants and call queues Configure custom music on hold 20 - Troubleshoot audio, video, and client issues Troubleshoot Teams Collect and identify logs Clear Microsoft Teams client cache Identify issues with call analytics Identify issues with Call Quality Dashboard Use Power BI to analyze Call Quality Dashboard data Identify issues with the Direct Routing Health Dashboard Additional course details: Nexus Humans MS-700T00 Managing Microsoft Teams training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the MS-700T00 Managing Microsoft Teams course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special AWS Cloud Practitioner Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training employers seek in today's workplaces. The AWS Cloud Practitioner Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This AWS Cloud Practitioner Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This AWS Cloud Practitioner Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this AWS Cloud Practitioner? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standards accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the AWS Cloud Practitioner there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This AWS Cloud Practitioner course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This AWS Cloud Practitioner does not require you to have any prior qualifications or experience. You can just enroll and start learning. This AWS Cloud Practitioner was made by professionals and it is compatible with all PCs, Macs, tablets, and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This AWS Cloud Practitioner is a great way for you to gain multiple skills from the comfort of your home.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

SAFe® Agile Software Engineering: In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

SAFe® Agile Software Engineering The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

Satellite comms training course description A theory based course providing a foundation in how satellite communication systems work and the terminology used in the field. What will you learn Describe the satellite communications architecture. Recognise where to use satellite communication systems. Explain how satellite communications systems work. Satellite comms training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 2 days Satellite comms training course contents Satellite systems architecture Suppliers, bearers, teleports, subscribers, components, how satellite communications works. Terminals Antenna, VSAT, circulators, filters, LNA, HPA, up/ down converters, modems. Satellites Satellite components, payloads, satellite types: GEO and non-GEO. Satellite transmission Satellite C and Ku bands, Modulation, AM, FM, PSK, QPSK, FDMA, CDMA. Satellite services Regulatory issues; DVB and video distribution via satellite; how reporters uplink news, Internet services over DVB; broadband services; multicast internet services via satellite; multimedia meshed networking using VSATs; military small terminal satcoms. Satellite engineering Link budgets, Spectrum analysis, Power meter

Duration 3 Days 18 CPD hours This course is intended for This course is designed for software developers, testers, and architects who design and develop software in various programming languages and platforms, including desktop, web, cloud, and mobile, and who want to improve their ability to deliver software that is of high quality, particularly regarding security and privacy. This course is also designed for students who are seeking the CertNexus Cyber Secure Coder (CSC) Exam CSC-210 certification Overview In this course, you will employ best practices in software development to develop secure software.You will: Identify the need for security in your software projects. Eliminate vulnerabilities within software. Use a Security by Design approach to design a secure architecture for your software. Implement common protections to protect users and data. Apply various testing methods to find and correct security defects in your software. Maintain deployed software to ensure ongoing security... The stakes for software security are very high, and yet many development teams deal with software security only after the code has been developed and the software is being prepared for delivery. As with any aspect of software quality, to ensure successful implementation, security and privacy issues should be managed throughout the entire software development lifecycle. This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects. You will learn general strategies for dealing with security defects and misconfiguration, how to design software to deal with the human element in security, and how to incorporate security into all phases of development. Identifying the Need for Security in Your Software Projects Identify Security Requirements and Expectations Identify Factors That Undermine Software Security Find Vulnerabilities in Your Software Gather Intelligence on Vulnerabilities and Exploits Handling Vulnerabilities Handle Vulnerabilities Due to Software Defects and Misconfiguration Handle Vulnerabilities Due to Human Factors Handle Vulnerabilities Due to Process Shortcomings Designing for Security Apply General Principles for Secure Design Design Software to Counter Specific Threats Developing Secure Code Follow Best Practices for Secure Coding Prevent Platform Vulnerabilities Prevent Privacy Vulnerabilities Implementing Common Protections Limit Access Using Login and User Roles Protect Data in Transit and At Rest Implement Error Handling and Logging Protect Sensitive Data and Functions Protect Database Access Testing Software Security Perform Security Testing Analyze Code to find Security Problems Use Automated Testing Tools to Find Security Problems Maintaining Security in Deployed Software Monitor and Log Applications to Support Security Maintain Security after Deployment