20220 Courses in Cardiff delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is for Network Engineers looking to specialize in Azure networking solutions. An Azure Network engineer designs and implements core Azure networking infrastructure, hybrid networking connections, load balance traffic, network routing, private access to Azure services, network security and monitoring. The azure network engineer will manage networking solutions for optimal performance, resiliency, scale, and security. This course teaches Network Engineers how to design, implement, and maintain Azure networking solutions. This course covers the process of designing, implementing, and managing core Azure networking infrastructure, Hybrid Networking connections, load balancing traffic, network routing, private access to Azure services, network security and monitoring. Learn how to design and implement a secure, reliable, network infrastructure in Azure and how to establish hybrid connectivity, routing, private access to Azure services, and monitoring in Azure. Prerequisites Prerequisite courses (or equivalent knowledge and hands-on experience): AZ-104T00 - Microsoft Azure Administrator 1 - Introduction to Azure Virtual Networks Explore Azure Virtual Networks Configure public IP services Design name resolution for your virtual network Enable cross-virtual network connectivity with peering Implement virtual network traffic routing Configure internet access with Azure Virtual NAT 2 - Design and implement hybrid networking Design and implement Azure VPN Gateway Connect networks with Site-to-site VPN connections Connect devices to networks with Point-to-site VPN connections Connect remote resources by using Azure Virtual WANs Create a network virtual appliance (NVA) in a virtual hub 3 - Design and implement Azure ExpressRoute Explore Azure ExpressRoute Design an ExpressRoute deployment Configure peering for an ExpressRoute deployment Connect an ExpressRoute circuit to a virtual network Connect geographically dispersed networks with ExpressRoute global reach Improve data path performance between networks with ExpressRoute FastPath Troubleshoot ExpressRoute connection issues 4 - Load balance non-HTTP(S) traffic in Azure Explore load balancing Design and implement Azure load balancer using the Azure portal Explore Azure Traffic Manager 5 - Load balance HTTP(S) traffic in Azure Design Azure Application Gateway Configure Azure Application Gateway Design and configure Azure Front Door 6 - Design and implement network security Get network security recommendations with Microsoft Defender for Cloud Deploy Azure DDoS Protection by using the Azure portal Deploy Network Security Groups by using the Azure portal Design and implement Azure Firewall Secure your networks with Azure Firewall Manager Implement a Web Application Firewall on Azure Front Door 7 - Design and implement private access to Azure Services Explain virtual network service endpoints Define Private Link Service and private endpoint Integrate private endpoint with DNS Integrate your App Service with Azure virtual networks 8 - Design and implement network monitoring Monitor your networks using Azure monitor Monitor your networks using Azure network watcher

Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview After completing this course, students will be able to: - Identify independent and dependent variables and measurement levels in their own analytical work scenarios. - Identify variables of interest in relational database tables. - Choose a data aggregation level and data set design appropriate for the intended analysis and tool. - Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. - Create stored procedures, views, and functions to modularize data retrieval code. This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. 1 - INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Lab 1: Introduction to TSQL for Business Intelligence 2 - TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Lab 1: Write queries 3 - COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNER JOIN Understanding Joins, Part 3: The OUTER JOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTER JOINs Combining JOIN Operations with WHERE and ORDER BY Lab 1: Write SELECT queries 4 - CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Lab 1: Write queries 5 - SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS Non-correlated and correlated subqueries Derived tables Common table expressions Lab 1: Write queries 6 - ENCAPSULATING DATA RETRIEVAL LOGIC Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Lab 1: Encapsulating Data Retrieval Logic 7 - GETTING YOUR DATASET TO THE CLIENT Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Lab 1: Getting Your Dataset to the Client Additional course details: Nexus Humans 55232 Writing Analytical Queries for Business Intelligence 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 55232 Writing Analytical Queries for Business Intelligence 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 course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

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Enhance your expertise in HV/MV power system design and protection coordination with EnergyEdge's virtual instructor-led training. Join now!

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers 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 show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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 3 Days 18 CPD hours This course is intended for This course is designed for Administrators who need to setup, configure and manage SharePoint Online as part of their Office 365 Administration. Overview After completing this course, students will gain the skills to: - Understand the architecture of SharePoint Online - Have knowledge of all the components in SharePoint Online - Have on hands on experience configuring the components of SharePoint Online - Have hands on experience configuring the options - Work with Site Collections and storage options - Manage user profiles and social profiling - Understand and configure data connectivity in SharePoint Online - Build a taxonomy structure - Understand and configure Search in SharePoint Online - Configure and deploy apps - Understand and define Enterprise content management and data loss prevention. - Configure additional options and features in SharePoint Online such as Information Rights Management This course will introduce the audience to SharePoint Online Administration in Office 365 and explain and demonstrate the configuration options for SharePoint Online. The course is appropriate for existing SharePoint on-premises administrators and new administrators to Office 365 who need to understand how to correctly setup SharePoint Online for their company. The course will also help SharePoint on-premise administrators understand the differences between SharePoint on-premises and SharePoint Online. 1 - INTRODUCTION TO OFFICE 365 AND SHAREPOINT ONLINE Introduction to the Office 365 Administration Center Configure Reporting Accessing SharePoint management tools Accessing security and compliancy Managing Office 365 and SharePoint Online with PowerShell Comparing On Premises SharePoint with SharePoint Online User identity in Office 365 and SharePoint Online Manging user domains Building Hybrid scenarios OneDrive and Sites redirection Yammer redirection Understand hybrid search Hybrid business data connectivity Hybrid taxonomy 2 - WORKING WITH SITE COLLECTIONS Introduction to classic and modern admin centers Creating Site Collections Defining ownership and security for site collections Configuring Storage Configure External Access to site collections Recovering site collections Configure external sharing Managing site collections with PowerShell 3 - MANAGING USER PROFILES Overview of the profile service Defining profile properties Map profile properties to a term store Creating custom profile properties Managing audiences Creating audiences Managing user profile policies Configure trusted my site host locations Configure preferred search center locations Defining read access permission levels Configuring newsfeed options Setup email notifications Configure my site cleanup 4 - WORKING WITH DATA CONNECTIONS Introduction to Data Connections Overview of PowerApps, Flow and PowerBi Overview of the business connectivity service Introduction to BDC definition files Creating BDC definition files Introduction to the secure store service Configuring the secure store service Creating secure store target application settings Configure connections to cloud services Configure connections to on-premises services Tools to build data connections Creating external content types Building external lists using external data 5 - MANAGING THE TERM STORE Overview of the term store Understanding terms and life cycle management Creating term groups Creating the term store Creating Term Sets in the UI Creating Term Sets via importing via a CSV Creating terms in the UI Creating terms via PowerShell and CSOM Manage terms with synonyms and pinning Configure delegated administration 6 - CONFIGURING SEARCH An Introduction to the search service Classic versus Modern search experience Understanding Managed Properties Create Managed Properties Manage Authoritative pages Understand Result sources Create and configure result sources Understand Query rules Promoting results through query rules Remove search results from the index Exporting search configurations Importing search configurations 7 - CONFIGURING APPS An Introduction to Apps Understanding the App Catalog Building the App catalog Adding Apps to the catalog Add Apps to your SharePoint sites Adding Apps via the marketplace store Manage App licensing Configure store access settings Monitoring app usage 8 - ENTERPRISE CONTENT MANAGEMENT IN SHAREPOINT ONLINE An Introduction to ECM in SharePoint Online Components of ECM Office 365 versus classic compliancy Understanding In-Place records management Configure In-Place records management Understanding the records center Build and configure a records center Understanding the compliancy policy center Build a compliancy policy center and configure policies Discover the security and compliancy center Configure an eDiscovery center Build an eDiscovery case Understand data loss prevention Build a data loss prevention policy and query Working with classification and data governance 9 - MANAGE OPTIONS FOR SHAREPOINT ONLINE Configure OneDrive features Configure use of Yammer or Newsfeeds Understand Information Rights Management Configure Information Rights Management Define site classification options Understand early release options for Office 365 Configure Early release options for your Office 365 tenant Manage Access Control Additional course details: Nexus Humans 55238 SharePoint Online for Administrators 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 55238 SharePoint Online for Administrators 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.

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SDH training course description Our SDH training course is designed for those with a basic knowledge of the principles of telecommunication digital transmission techniques. An overview of the existing transmission hierarchies and their limitations is provided with an introduction to the Synchronous Digital Hierarchy (SDH). The advantages of SDH are explained fully. What will you learn Identify the major limitations of the PDH network. Outline the advantages of using the SDH. Illustrate the various SDH equipment and network topologies. Describe the principles of the SDH multiplexing structure. SDH training course details Who will benefit: Anyone working with SDH. Prerequisites: It should be noted that this course will assume some basic telecommunication transmission knowledge from the delegates attending. This may be accomplished by attending the Introduction to Telecommunications course. Duration 2 days SDH training course contents Introduction to SDH Timing and synchronisation of digital signals, the plesiochronous digital hierarchy (PDH), the synchronous digital hierarchy (SDH), service protection with SDH SDH Multiplexing Techniques The multiplexing principles of SDH, mapping and aligning a 2Mbit/s tributary into a TU-12, aligning the VC-12 in a TU-12, multiplexing TU-12's into a TUG-2, multiplexing TUG-2's into a TUG-3, multiplexing TUG-3's into a VC-4, the VC-4 path overhead, the STM-1 frame, the AU-4 pointer, the STM-1 section overheads, multiplexer section protection, transmission at rates higher than STM-1, concatenation line transmission functions in SDH SONET Multiplexing Techniques Mapping a DS1 tributary into a virtual tributary, aligning the VT-SPE into a VT frame, mapping the VTGs into a STS-1 SPE, the STS-1 synchronous payload envelope, the STS-1 frame SONET network sections and lines transmissions at higher rates than STS-1 SDH Functions and Facilities SDH network topologies, structure of SDH equipment, synchronisation of SDH networks, protection switching in SDH networks, SDH alarm structure, SDH performance monitoring, testing of SDH, equipment and systems, network management and SDH, asynchronous transfer mode (ATM), future services and technologies OSI Telecommunications Network Management Definition of network management, managing telecom equipment, the managed object library, the management information base, the telecommunications management network (TMN), the Q3 protocol.

DWDM training course description A concise overview of Wave Division Multiplexing (WDM) with both Coarse Wave Division Multiplexing (CWDM) and Dense Wave Division Multiplexing (DWDM) being covered. The course starts with a review of the relevant elements of fibre transmission and multiplexing before then studying WDM components and architectures. Reliability, resilience and management are then followed by WDM services and futures. What will you learn Explain the benefits of WDM. Describe Dispersion and four way mixing. Describe the different WDM equipment components. Describe different WDM architectures. Explain How DWDM works. DWDM training course details Who will benefit: Anyone working with CWDM/DWDM. Prerequisites: Telecommunications Introduction Duration 2 days DWDM training course contents Fibre communications review Optical transmission, Fibre characteristics, Fibre component parts. Multi Mode Fibre (MMF). Single Mode Fibre (SMF). Fibre connections. Lasers. Attenuations, dispersion, optical signal noise ratios (OSNR) and their effects. Channel Spacing and Signal Direction. Limiting factors to single wavelength. WDM overview Multiplexing, TDM, WDM benefits. WDM standards. CWDM vs. DWDM. Four Wave Mixing (FWM). Impact and countermeasures to FWM on WDM. CWDM ITU G.694.2, channels, channel spacing. DWDM ITU G.694.1, channels, channel spacing. WDM Equipment Components Equipment components and building blocks. Optical Terminal Multiplexers (OTM). Optical Add/Drop Multiplexers (OADM). Adding versus dropping. Optical Amplifiers. Erbium Doped Fibre Amplifiers (EDFA). Transponders and Combiners. WDM/DWDM Hubs. Optical and Electrical Cross Connects (OXCs/DXCs). Types of Cross Connects (Transparent/Opaque). Advantages and disadvantages of various Optical cross connects. WDM Architectures WDM network sections. Point-to-Point, Optical switches, mesh, ring and star topology. Example of combined WDM and other technology network. Wavelength converting transponders, 1R, 2R, 3R. Protection for WDM Sub 50ms failover. Equipment protection. Card protection. Y cable, Splitter protection. Far end laser control. Line protection. OMSP 1+1, OMSP 1:1, OMSP 1: N. Self healing optical ring. Sub Network Connection Protection (SNCP). Automatically Switched Optical Networks (ASON). WDM Management Options In band management. Out of band management. The Optical Supervisory Channel (OSC). OSC capabilities. WDM services WDM Access. Bit rates, Transparent Networks. Modulation, DQPSK. SDH over WDM. Migrating from SDH to DWDM. Ethernet over WDM, IP over WDM. Optical Transport Networks G.709, 'digital wrapper', Optical Channel Payload Unit (OPU), Optical Channel Transport Unit ( OTU), Optical Channel Data Unit (ODU). OTU1, OTU2, OTU3, OTU4. WDM Futures All optical amplification, Raman amplification, distributed, lumped. Bit rates. Solitons. Coherent technologies.