5813 Computing courses in Bedworth delivered Online

Duration 5 Days 30 CPD hours This course is intended for This course is primarily intended for existing IT professionals who have some AD DS knowledge and experience and who aim to develop knowledge about identity and access technologies in Windows Server 2016. The secondary audience for this course includes IT professionals who are looking to consolidate their knowledge about AD DS and related technologies, in addition to IT professionals who want to prepare for the 70-742 exam. Overview After completing this course, students will be able to:Install and configure domain controllers.Manage objects in AD DS by using graphical tools and Windows PowerShell.Implement AD DS in complex environments.Implement AD DS sites, and configure and manage replication.Implement and manage Group Policy Objects (GPOs).Manage user settings by using GPOs.Secure AD DS and user accounts.Implement and manage a certificate authority (CA) hierarchy with AD CS.Deploy and manage certificates.Implement and administer AD FS.Implement and administer Active Directory Rights Management Services (AD RMS).Implement synchronization between AD DS and Azure AD.Monitor, troubleshoot, and establish business continuity for AD DS services. This course teaches IT Pros how to deploy and configure Active Directory Domain Services in a distributed environment, how to implement Group Policy, how to perform backup & restore, & how to troubleshoot Active Directory?related issues. Installing & Configuring DCs Overview of AD DS Overview of AD DS DCs Deploying DCs Lab: Deploying and administering AD DS Managing Objects in AD DS Managing user accounts Managing groups in AD DS Managing computer accounts Using Windows PowerShell for AD DS administration Implementing and managing organizational units Lab: Deploying and administering AD DS Lab: Administering AD DS Advanced AD DS Infrastructure Management Overview of advanced AD DS deployments Deploying a distributed AD DS environment Configuring AD DS trusts Lab: Domain and trust management in AD DS Implementing & Administering AD DS Sites & Replication Overview of AD DS replication Configuring AD DS sites Configuring and monitoring AD DS replication Lab: Managing and implementing AD DS sites and replication Implementing Group Policy Introducing Group Policy Implementing and administering GPOs Group Policy scope and Group Policy processing Troubleshooting the application of GPOs Lab: Implementing a Group Policy infrastructure Lab: Troubleshooting a Group Policy Infrastructure Managing User Settings with GPOs Implementing administrative templates Configuring Folder Redirection and scripts Configuring Group Policy preferences Lab: Managing user settings with GPOs Securing AD DS Securing domain controllers Implementing account security Audit authentication Configuring managed service accounts (MSAs) Lab: Securing AD DS Deploying & Managing AD CS Deploying CAs Administering CAs Troubleshooting and maintaining CAs Lab: Deploying and configuring a two-tier CA hierarchy Deploying & Managing Certificates Deploying and managing certificate templates Managing certificate deployment, revocation, and recovery Using certificates in a business environment Implementing and managing smart cards Lab: Deploying certificates Implementing & Administering AD FS Overview of AD FS AD FS requirements and planning Deploying and configuring AD FS Overview of Web Application Proxy Lab: Implementing AD FS Implementing & Administering AD RMS Overview of AD RMS Deploying and managing an AD RMS infrastructure Configuring AD RMS content protection Lab: Implementing an AD RMS infrastructure Implementing AD DS Synchronization with Azure AD Planning and preparing for directory synchronization Implementing directory synchronization by using Azure AD Connect Managing identities with directory synchronization Lab: Configuring directory synchronization Monitoring, Managing, & Recovering AD DS Monitoring AD DS Managing the AD DS database Recovering AD DS objects Lab: Recovering objects in AD DS

Duration 2 Days 12 CPD hours This course is intended for This course is intended for those who need to use Tableau Desktop to build complex visuals and dashboards to present information or to monitor data about their organization. Overview Upon completion of this course, participants will be able to:Select the best method to work with multiple data sourcesCreate complex visuals using calculations and parametersApply best practices to improve the layout and aesthetics of dashboards This course enables participants to create complex visualizations and to combine them into interactive dashboards to share with others using Tableau Desktop. The Data Data Interpreter Data Joins Same Database Cross Databases Spatial Join New! Data Blending New Union Custom SQL Tableau Extract TDE Hyper Clipboard Database Changes Automatic Updates Calculations Regular Calculations Quick Table Calculations Table Calculations Level of Detail (LOD) Expressions Complex Visualizations Custom Background Map Web Map Servers Dual Maps Bar in Bar Graph Bullet Graph Pareto Chart Sparkline Report Top N Within a Category Report Waterfall Chart Funnel Chart Pattern Analysis using the Path Shelf Building Better Dashboards Best Practices for Design Best Practices for Performance Creating a Template Workbook Using Layout Containers Dashboard Extenders New! Generating A Performance Summary Additional course details: Nexus Humans Tableau Advanced v10.3 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 Tableau Advanced v10.3 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 1 Days 6 CPD hours This course is intended for This basic course is designed for system administrators, system architects, application developers, quality assurance specialists, and technical sales and marketing professionals. Overview After completing this course, you should be able to: Summarize current business drivers and the need for flexibility Describe enterprise messaging and the capabilities it must provide Identify the main ways that IBM© MQ can impact application design Describe the basic components of IBM© MQ Differentiate between point-to-point and IBM© MQ cluster connectivity Summarize queue manager and queue manager components administrative tasks Contrast the architectural role of IBM© MQ clusters and multiple instance queue managers Describe the security provisions of IBM© MQ and IBM© MQ Advanced Message Security Describe how IBM© MQ is used as part of the communications infrastructure to: Connect application environments, such as the World Wide Web, enterprise transaction systems, and database systems Manage the distribution of publisher information to appropriate subscribers Provide file transfer management with IBM© MQ Managed File Transfer Serve as a JMS provider Interface with WebSphere Application Server Store in-flight messages for IBM© Integration Bus Interact with z/OS applications Facilitate connectivity to mobile environments with IBM© MQ Telemetry Describe the options for deployment to the Cloud In this course, you learn about IBM© MQ V9 basic components and the path that messages follow when they are exchanged between applications. You also learn how IBM© MQ administrative responsibilities can include the management of topic-based publish/subscribe messaging, managed file transfer, and deployments to the cloud. Topics include an overview of the support that IBM© MQ provides for security, publish/subscribe, high availability, administration, logging, auditing, managed file transfer, MQTT, and cloud options. Course introductionIBM© MQ overviewIBM© MQ basicsMessaging styles, topologies, and architecture overviewSystem administration overviewSecurity overviewIntroduction to IBM© MQ Managed File TransferIntroduction to IBM© MQ Telemetry and IBM© MessageSightIntroduction to the IBM© MQ ApplianceExpanding the scope of IBM© MQCourse summary

Duration 5 Days 30 CPD hours This course is intended for Red Hat Certified System Administrator (RHCSA) who wants to learn how to provision and configure IdM technologies across both Linux and Windows applications Identity management specialist or engineer Access management specialist or engineer Web application developer DevOps specialist Overview As a result of attending this course, you will gain an understanding of the architecture of an identity management realm and trusted relationships using both Red Hat Enterprise Linux Identity Management and Microsoft Active Directory. You will be able to create, manage, and troubleshoot user management structures, security policies, local and remote secure access methods, and implementation technologies such as Kerberos, PKI, and certificates. You should be able to demonstrate these skills: Create and manage a scalable, resilient Identity Management realm, including both Linux and Microsoft Windows clients and servers. Create and manage secure access configurations, including managing and troubleshooting Kerberos, certificate servers, and access control policies. Integrate IdM as the back end for other major enterprise tools in the Red Hat portfolio, including Satellite Server and Tower. This course will empower you with the skills to configure and manage IdM, the comprehensive Identity Management solution bundled with Red Hat© Enterprise Linux.You will master these skills on the most requested Red Hat Identity Management (IdM) capabilities, including Active Directory trusts, multi-product federation, configuration management with Ansible, integrated certificate management, single sign-on, one-time passwords, and cybersecurity policy conformance. This course covers the same material as RH362, but includes the Red Hat Certified Specialist in Identity Management exam (EX362). Install Red Hat Identity Management Describe and install Red Hat Identity Management (IdM). Centralize Identity Management Explain the IdM server services, explore IdM clients access methods, and install an IdM client. Authenticate identities with Kerberos Define the Kerberos protocol and configure services for Kerberos authentication. Integrate IdM with Active Directory Create a trust relationship with Active Directory. Control user access Configure users for authorized access to services and resources. Manage a public key infrastructure Manage certificate authorities, certificates, and storing secrets. Maintain IdM operations Troubleshoot and recover Identity Management. Integrate Red Hat products with IdM Configure major services to share the IdM authentication database. Install scalable IdM Construct a resilient and scalable Identity Management topology.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technical professionals who require the skills to administer IBM MQ. Overview After completing this course, you should be able to: Describe the IBM MQ deployment options Create and manage queue managers, queues, and channels Use the IBM MQ sample programs and utilities to test the IBM MQ network Configure distributed queuing Configure MQ client connections to a queue manager Define and administer a queue manager cluster Administer Java Message Service (JMS) in MQ Implement basic queue manager restart and recovery procedures Use IBM MQ troubleshooting tools to identify the cause of a problem in the IBM MQ network Manage IBM MQ security Monitor the activities and performance of an IBM MQ system This course is also available as self-paced virtual (e-learning) course IBM MQ V9.1 System Administration (ZM156G). This option does not require any travel.This course teaches you how to customize, operate, administer, and monitor IBM MQ on-premises on distributed operating systems. The course covers configuration, day-to-day administration, problem recovery, security management, and performance monitoring. In addition to the instructor-led lectures, the hands-on exercises provide practical experience with distributed queuing, working with MQ clients, and implementing clusters, publish/subscribe messaging. You also learn how to implement authorization, authentication, and encryption, and you learn how to monitor performance. Introducing IBM MQ Exercise Getting started with IBM MQ Working with IBM MQ administration tools Exercise Working with IBM MQ administration tools Configuring distributed queuing Exercise Implementing distributed queuing Managing clients and client connections Exercise Connecting an IBM MQ client Advanced IBM MQ client features Working with queue manager clusters Exercise Implementing a basic cluster Publish/subscribe messaging Exercise Configuring publish/subscribe message queuing Implementing basic security in IBM MQ Exercise Controlling access to IBM MQ Securing IBM MQ channels with TLS Exercise Securing channels with TLS Authenticating channels and connections Exercise Implementing connection authentication Supporting JMS with IBM MQ Diagnosing problems Running an IBM MQ trace Backing up and restoring IBM MQ messages and object definitions Using a media image to restore a queue Backing up and restoring IBM MQ object definitions High availability Monitoring and configuring IBM MQ for performance Monitoring IBM MQ for performance Monitoring resources with the IBM MQ Console Additional course details: Nexus Humans WM156G IBM MQ V9.1 System Administration (using Windows for labs) 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 WM156G IBM MQ V9.1 System Administration (using Windows for labs) 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 2 Days 12 CPD hours This course is intended for This is an introductory-level course for Users new to Tableau who will be administering a Tableau Server installation, including managing content, users, and permissions. Overview This skills-focused course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment led by our expert facilitator, students will learn how to: User interactions with Tableau Server Tableau Server components Single-server installation Content administration Authorization and permissions Users, groups, and sites Data sources and extracts Schedules, tasks, and subscriptions Monitoring server status Command-line utilities and REST API Upgrading a single-server installation to a new version Modifying the authentication method This fast paced hands-on course provides in-depth coverage of Tableau Server administration. The knowledge and skills acquired are best geared toward those who will be administering a Tableau Server installation, including managing content, users, and permissions. Tableau Server Overview Tableau Product Line End-User Abilities Tableau Server Architecture Component Functions Server Diagrams Single Server Installation Technical Specifications Tableau Server Installation Checklist Configuration Options Resolutions for Common Installation Issues Installing Tableau Server Software User Experience Content Navigation, Searching, and Filtering Exploring Server Content Types and Objects Updating Account Settings Setting the Start Page Viewing Version Information Renaming a Project Adding a Workbook Description Authorization and Permissions Administrator Settings Authorization Overview Functional Security Model Site Roles Content Ownership and Permissions Permission Rules and Capabilities Permissions and the Default Project Creating Projects, Local Groups, and a Local User Importing Users and Adding Users to Groups Granting Permissions to Projects Creating a Project Leader Publishing and Changing Ownership of a Workbook Moving a Workbook Site Administration Data Sources, Extracts, Schedules, and Subscriptions Creating, Publishing, and Connecting to a Data Source Data Engine and File Store Creating and Publishing Extracts Backgrounder Schedules Subscriptions Enabling Subscriptions and Alerts Automating Server Tasks Automating and Programming Server Tasks Tabadmin Tabcmd Using the REST API Monitoring Server Viewing Server Status Admin Alerts Viewing Email Alerts and Admin Views Enabling Access to the Repository Custom Admin Views Licensing Information Performance Recording Upgrading Tableau Server Preparing to Upgrade Upgrading Software on the Same Machine Modifying the Authentication Method Importing AD Groups Log Files Administration Overview of Log Files Archiving Log Files Data Security Controlling What Users Can See User Filters

Duration 5 Days 30 CPD hours This course is intended for This course is designed for The Dynamics 365 Supply Chain Management functional consultant. The Dynamics 365 Supply Chain Management functional consultant is a key resource that designs and configures apps to meet the requirements for a customer. The functional consultant analyzes business requirements and translates those requirements into fully realized business processes and solutions that implement industry-recommended practices. The functional consultant specializes in one or more of the following feature sets of Dynamics: finance, manufacturing, or supply chain management. They partner with architects, developers, administrators, and other stakeholders to deliver solutions that meet or exceed the needs of their customers. Overview Configure the most important Dynamics 365 Dynamics 365 Supply Chain Management functionalities. Process most of the Dynamics 365 Supply Chain Management transactions. Explain to others how Dynamics 365 Supply Chain Management features and functionalities works. This course is designed to build your foundation in Dynamics 365 Supply Chain Management application knowledge. This course will cover the most important features and functionalities needed by Dynamics 365 Supply Chain Management functional consultant including: The product information and how to configure, create, and manage your product and inventory. Supply chain management configuration and processing. The transportation management features, and the warehouse management features. Quality management and quality control functionalities. Master planning configuration and processing. This course includes lectures and several hands-on exercises. The exercises will be introduced to you on a form of a case study presented to a Dynamics 365 Supply Chain Management functional consultant. Each exercise will be bases on a business scenario followed by a question or discussion then a step-by-step guidance to perform the system related steps. Implement product information management Create and manage products Configure products for supply chain management Manage inventory pricing and costing Implement inventory management Configure Inventory management Manage and process inventory activities Implement and manage supply chain processes Implement Procurement and sourcing Implement common sales and marketing features Using Microsoft Guides Implement warehouse management and transportation management Configure warehouse management Perform warehouse management processes Implement transportation management Configure and manage quality control and quality management Configure quality control and quality management Manage quality control and quality management Implement master planning Configure master planning and forecasting Run master plans and manage planned orders Implement additional master planning features

Duration 5 Days 30 CPD hours This course is intended for This class is designed for experienced BizTalk Server Developers who have at least one year of hands-on experience developing BizTalk Server applications. Overview In this 5-day course, you will learn how to apply best practices and design patterns to build smarter BizTalk Server applications. Furthermore, this course provides extensive coverage of BizTalk Server's extensibility, including such topics as: custom functoids, custom pipeline components, and invoking external .NET methods. This course is designed specifically for experienced BizTalk Server developers and focuses on best practices & pattern-based design while pulling back the curtain on some of BizTalk Server's eccentricities. Review of BizTalk Server Fundamentals The BizTalk Server Architecture Inner Workings of the Messaging Engine Messaging Engine Deep Dive Two-way Messaging Without Orchestrations Designing and Testing Schemas Schema Design Enabling Unit Testing for BizTalk Projects Data Translation and Transformation Custom Data Transformation Creating Custom Pipeline Components Working with Message Interchanges Debatching Message Interchanges Advanced Concepts of WCF Adapters Connecting to External Systems Using WCF LOB Adapters in BizTalk Server Publishing and Consuming WCF and RESTful Services Overview of Service Integration Using WCF Implementing WCF Services Preprocessing Messages with IIS Modules Consuming Services Advanced Orchestration Communication Patterns Orchestration Engine Deep Dive Splitting and Aggregating Messages using Orchestrations Orchestration Communication Bridging the Synchronous/Asynchronous Gap Across Multiple Channels Correlating Messages in Orchestration Instances Building Convoy Orchestrations Handling Orchestration Faults and Exceptions Exception Handling in Orchestrations Implementing Transactions and Compensation Creating Transactional Processes Designing Custom Tracking Models for BizTalk Applications Introduction to Business Activity Monitoring Enabling Business Activity Monitoring Extending BAM Beyond BizTalk Building Declarative Logic Using the Business Rules Engine Concepts of Declarative Logic Fundamentals of BizTalk BRE Integrating Policies with BizTalk Advanced Concepts of the Business Rules Engine Advanced Business Rule Concepts Working with Advanced Facts Integrating Across Business Boundaries Using Parties, Roles, and EDI Port Binding Option Review Role-Based Integration What is EDI? Enabling EDI-Based Messaging

Duration 3 Days 18 CPD hours This course is intended for The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) Ethical and Sustainable Human and Artificial Intelligence (AI) Recall the General Definition of Human and Artificial Intelligence (AI) Describe what are Ethics and Trustworthy Artificial Intelligence (AI) Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) Artificial Intelligence (AI) and Robotics Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description Describe what a Robot is Describe what an intelligent Robot is Applying the Benefits of Artificial Intelligence (AI) ? Challenges and Risks Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations Explain the Benefits of Artifical Intelligence (AI) Describe the Challenges of Artificial Intelligence (AI) Projects Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects List Opportunities for Artificial Intelligence (AI) Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox ? Theory and Practice Describe how we Learn from Data - Functionality, Software and Hardware Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality The Management, Roles and Responsibilities of Humans and Machines Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together List Future Directions of Humans and Machines Working Together Describe a ''Learning from Experience'' Agile Approach to Projects

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?