3660 Courses in Cardiff delivered Live Online

Duration 1 Days 6 CPD hours This course is intended for This course is intended for IT Asset Managers and other professionals involved in Asset Management, strategic planning, security programs and those affected or influenced by ITAM and security initiatives. The mission of IAITAM?s CAMSE course is to maximize the contribution of IT Asset Management professionals to the information security and physical security of the organization by bridging the gap between ITAM and IT security processes while incorporating security strategies throughout the ITAM policies, processes and procedures so that ITAM enhances the security program and improves the applicable governance. This course includes the comprehensive online examination necessary for achieving CAMSE Certification. Course Outline Scope of IT Security & ITAM Threat Prevention vs. Threat Protection Decentralized vs. Centralized Security The IT Security Plan ITAM?s Role in Risk Management The 12 KPAs & Security Program Management & Security Communication & Education Management & Security Policy Management & Security Acquisition Management & Security Asset Identification Management & Security Disposal Management & Security Project Management & Security Documentation Management & Security Financial Management & Security Legislation Management & Security Compliance Management & Security Vendor Management & Security Assessing Asset Risk Level Program Issues by Asset Type ITAM Program Assessment for Security

Duration 4 Days 24 CPD hours This course is intended for IS Security Officers IS Managers Risk Managers Auditors Information Systems Owners IS Control Assessors System Managers Government Employees Overview Upon completion, Certified Information Systems Risk Manager students will be prepared to pass the CISRM exam.  Certified Information Systems Risk Manager, CISRM, course is made for IT and IS professionals who are involved with all aspects of risk management. Requests for this particular area of certification is growing fast in the employment sector. Recent high-profile breaches in both the public and private sectors have increased awareness for the need for Risk Management professionals. Mile2?s CISRM certification exam will test your knowledge in all areas of risk management. If you would like some training and test preparation before taking the Certified Information System Risk Manager Exam we offer the CISRM course as both a live class and a self-study combo. First, you will learn to assess a system, then implement risk controls. Finally, you will be able to monitor and maintain risk procedures. With this training, you will be able to identify risks associated with specific industries. After course completion, you will be able to design, implement, monitor and maintain risk-based, efficient and effective IS controls. Knowledge of all of these areas will be required to pass the CISRM exam. Course Outline The Big Picture Domain 1 ? Risk Identification Assessment and Evaluation Domain 2 ? Risk Response Domain 3 ? Risk Monitoring Domain 4 ? IS Control Design and Implementation

Duration 2 Days 12 CPD hours This course is intended for This course is ideal for users who need to replace a Windows computer with a Mac and for IT professionals who support Mac users. Overview Organizations are increasingly integrating Mac computers into Windows or other standards-based network environments. This course gives both users and the IT professionals who support them the skills necessary to make integration easy. This two day Mac Integration Basics course examines how to best use a Mac(s) in an organization that predominantly functions with a Microsoft Windows operating system and Windows Servers. Directory Services Connect a Mac to an Active Directory server Share Files Connect to file servers. Turn on personal file sharing. Configure Collaborative Services Manage Internet Accounts preferences. Connect to an Exchange Server. Connect Mail to non-Windows servers. Add accounts in Mail, Contacts, and Calendars. Secure a Mac Built-In Security features. Create strong passwords. Use two-factor authentication. Set a firmware password. Lock a Mac screen. Create user accounts. Disable automatic login. Protect start-up disk files. Ensure that the apps you download are safe. Provide network security. Printing Connect to a local printer. Connect to, share, and print from network printers. Move and Back Up Content Move content. Back up content. Run Windows on a Mac Run Windows natively or virtually. Microsoft Office for macOS. Cross-platform apps. Cross-platform files. Troubleshooting How to best troubleshoot macOS. Questions & Answers

Duration 4 Days 24 CPD hours This course is intended for IS Security Officers IS Managers Risk Managers Auditors Information Systems Owners IS Control Assessors System Managers Government Employees Overview Upon completion, Certified Threat Intelligence Analyst students will be able to proactively collect threat data and implement strategies to limit exposure to those threats. Additionally, they will be prepared to take the C)TIA exam Everywhere you turn today, you hear about the need for threat intelligence analysis! However, in some cases, it is just a buzzword, while in other cases, threat intelligence is being touted as the remedy toward advanced persistent threats. The real question is, how do we leverage threat intelligence to reduce network vulnerabilities without wasting time and money? The answer is simple, Mile2?s Certified Threat Intelligence Analyst course. Mile2?s CTIA course will help security professionals learn how to make good use of the many sources of threat intelligence. It will aid an individual to understand what threat sources are helpful, which specific threats are targeted and which ones may need minor adjustments to monitor within your organization. Mile2?s CTIA course focuses heavily on hands-on labs, concentrating on discerning and interpreting threats and responding to them.ÿ The CTIA course focuses overall on current significant threats, threat actors, and identification procedures so that cyber-security professionals can implement the best policies and procures for their organizational security posture. Once complete, the student will be competent toward improving a company?s existing security infrastructure. Policies and methodologies learned in the CTIA will allow the student to use threat intelligence concepts to decrease overall company risk. Course Outline Threat Intelligence Basics Cyber Threats Threat Actors Case Studies Threat Identification Proactive Approach

Duration 2 Days 12 CPD hours This course is intended for DevOps Engineers Software Developers Telecommunications Professionals Architects Quality Assurance & Site Reliability Professionals Overview Automate basic freestyle projects Jenkins Pipelines and Groovy Programming Software lifecycle management with Jenkins Popular plugins Scaling options Integrating Jenkins with Git and GitHub (as well as other Software Control Management platforms) Triggering Jenkins with Webhooks Deploying into Docker and Kubernetes CI / CD with Jenkins This course covers the fundamentals necessary to deploy and utilize the Jenkins automation server. Jenkins enables users to immediately begin automating both their individual and collaborative workflows. Jenkins is a proven solution for a wide variety of tasks ranging from the helpful automation of scripts (such as Python and Ansible) to creating complex pipelines that govern the technical parts of not only Continuous Integration, but Continuous Delivery (CI/CD) as well. Jenkins is free, open source, and easily controlled with a simple web- based UI- it can be expanded by third party plugins and is deployable on nearly any on-site (Linux, Windows and Mac) or cloud platform. Overview of Jenkins Overview of Continuous Integration and Continuous Deployment (CI/CD) Understanding Git and GitHub Git Branching Methods for Installing Jenkins Jenkins Dashboard Jenkins Jobs Getting Started with Freestyle Jobs Triggering builds HTTP Web Hooks Augmenting Jenkins with Plugins Overview of Docker and Dockerfile for Building and Launching Images Pipeline Jobs for Continuous Integration and Continuous Deployment Pipeline Build Stage Pipeline Testing Stage Post Build actions SMTP and Other Notifications Programming Pipelines with Groovy More Groovy Programming Essentials Extracting Jenkins Data Analytics to Support Project Management Troubleshooting Failures Auditing stdout and stderr with Jenkins Jenkins REST API Controlling Jenkins API with Python Jenkins Security Scaling Jenkins Jenkins CLI Building a Kubernetes Cluster and Deploying Jenkins How to start successfully using Jenkins to automate aspects of your job the moment this course ends.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for technical professionals who require the skills to administer IBM© MQ queue managers on distributed operating systems, in the Cloud, or on the IBM© MQ Appliance. Overview Describe the IBM© MQ deployment optionsPlan for the implementation of IBM© MQ on-premises or in the CloudUse IBM© MQ commands and the IBM© MQ Explorer to create and manage queue managers, queues, and channelsUse the IBM© MQ sample programs and utilities to test the IBM© MQ networkEnable a queue manager to exchange messages with another queue managerConfigure client connections to a queue managerUse a trigger message and a trigger monitor to start an application to process messagesImplement basic queue manager restart and recovery proceduresUse IBM© MQ troubleshooting tools to identify the cause of a problem in the IBM© MQ networkPlan for and implement basic IBM© MQ security featuresUse accounting and statistics messages to monitor the activities of an IBM© MQ systemDefine and administer a simple queue manager cluster This course provides technical professionals with the skills that are needed to administer IBM© MQ queue managers on distributed operating systems and in the Cloud. In addition to the instructor-led lectures, you participate in hands-on lab exercises that are designed to reinforce lecture content. The lab exercises use IBM© MQ V9.0, giving you practical experience with tasks such as handling queue recovery, implementing security, and problem determination. Describe the IBM© MQ deployment optionsPlan for the implementation of IBM© MQ on-premises or in the CloudUse IBM© MQ commands and the IBM© MQ Explorer to create and manage queue managers, queues, and channelsUse the IBM© MQ sample programs and utilities to test the IBM© MQ networkEnable a queue manager to exchange messages with another queue managerConfigure client connections to a queue managerUse a trigger message and a trigger monitor to start an application to process messagesImplement basic queue manager restart and recovery proceduresUse IBM© MQ troubleshooting tools to identify the cause of a problem in the IBM© MQ networkPlan for and implement basic IBM© MQ security featuresUse accounting and statistics messages to monitor the activities of an IBM© MQ systemDefine and administer a simple queue manager cluster

Duration 3 Days 18 CPD hours This course is intended for This course is for IT professionals who manage on-premises Windows Server environments and want to use Azure to manage server workloads and run their virtual workloads on Windows Server 2019. They also want to use existing Microsoft System Center products to implement and manage software-defined datacenters with Windows Server 2019. Overview Describe the Azure Stack portfolio, including Azure Stack HCI, Azure Stack Hub, and Azure Stack Edge Describe the Azure Stack HCI core technologies and management tools. Describe the process of a typical Azure Stack HCI implementation. Identify Azure Stack HCI hybrid capabilities. Implement, manage, and maintain workloads on Azure Stack HCI. Plan for and implement Azure Stack HCI Storage, including Storage QoS and Storage Replica. Plan for Azure Stack HCI Networking. Implement Software Defined Networks in Azure Stack HCI. This three-day course WS-013T00-A is intended primarily for IT Professionals who already have significant experience with managing an on-premises Windows Server environment. Its purpose is to cover advanced topics related to Windows Server software-defined datacenter, Azure Stack HCI, and other Azure Stack products. The course also describes the use of existing Microsoft System Center products to implement and manage software-defined datacenters with Windows Server 2019. This course is advanced and is designed for people that want to run their virtual workloads on Windows Server 2019 at medium-to-large scale using software-defined datacenter and hyper-converged principles. Introducing Azure Stack HCI Overview of Azure Stack HCI Overview of Azure Stack HCI technologies Overview of Azure Stack HCI management tools Overview of the Azure Stack HCI hybrid capabilities Operating and maintaining Azure Stack HCI Implementing and managing workloads on Azure Stack HCI Maintaining Azure Stack HCI Planning for and implementing Azure Stack HCI storage Overview of Azure Stack HCI Storage core technologies Planning for Storage Spaces Direct in Azure Stack HCI Implementing a Storage Spaces Direct-based hyper-converged infrastructure Managing Storage Spaces Direct in Azure Stack HCI Planning for and implementing Storage QoS Planning for and implementing Storage Replica Planning for and implementing Azure Stack HCI networking Overview of Azure Stack HCI core networking technologies Overview of network virtualization and Software-Defined Networking Planning for and implementing Switch Embedded Teaming Planning for and implementing Datacenter Firewall Planning for and implementing Software Load Balancing Planning for and implementing RAS Gateways

Duration 3 Days 18 CPD hours This course is intended for IT Professionals who deploy small-to- medium scale enterprise network solutions based on Aruba products and technologies Overview Upon completion of this course, you will be able to:Explain how Aruba networking solutions meet customers? requirementsExplain how Aruba AirWave provides unified wireless and wired network managementDescribe in-band management and out-of-band managementComplete the initial setup on ArubaOS switchesControl access to switches for both in-band and out-of-band managementManage software and configuration files on ArubaOS switchesExplain use cases for VLANs and configure port-based VLANs on ArubaOS switchesUnderstand and configure Rapid Spanning Tree Protocol (RSTP)Understand and configure Multiple Spanning Tree Protocol (MSTP)Differentiate between different types of link aggregation and understand the benefits of Link Aggregation Control Protocol (LACP)Configure and troubleshoot link aggregation on ArubaOS switchesConfigure static routes on ArubaOS switches and interpret IP routing tablesConfigure a basic Open Shortest Path First (OSPF) solutionDescribe how Virtual Switching Framework (VSF) works and the advantages that it providesConfigure and verify a simple VSF fabricDescribe the basics of wireless communications and 802.11 standardsDefine a wireless LAN (WLAN) and differentiate between wireless security optionsConfigure basic settings on Aruba Instant APsConfigure AirWave management settings on an IAP clusterConfigure SNMP v2c settings on ArubaOS switchesDiscover ArubaOS switches in AirWave and bring switches and IAPs under monitoring and managementImplement zero touch provisioning (ZTP) for Aruba IAPs and ArubaOS switches This course teaches you the fundamental skills necessary to configure and manage modern, open standards-based networking solutions. This course consists of approximately 20% lecture and 80% hands-on lab exercises to help you learn how to implement and validate small to medium enterprise network solutions. This 3-day course prepares network professionals for the HPE ATP - Aruba Mobile First Solutions V1 certification exam.In this course, participants learn about ArubaOS switch technologies including: VLANs, securing access, redundancy technologies such as MSTP, link aggregation techniques including LACP, and switch virtualization with Aruba?s Virtual Switching Framework (VSF). You also learn about IP Routing including static and dynamic IP routing with OSPF. This course teaches you how to deploy Aruba wireless Access Points and configure Aruba Clustering technology. It also teaches you how to configure, manage and monitor the network with the Aruba AirWave management solution. Introduction to Aruba, a Hewlett Packard Enterprise companySwitch CLI (Command Line Interface) NavigationProtecting Management AccessManagement of Software and ConfigurationsVLANSSpanning Tree Protocol (STP)Link AggregationIP RoutingVirtual Switching Framework (VSF)Wireless for Small-to-Medium Businesses (SMBs)Aruba AirWave

Duration 4 Days 24 CPD hours This course is intended for This course is designed for technical professionals who require the skills to administer IBM© MQ queue managers on distributed operating systems, in the Cloud, or on the IBM© MQ Appliance. Overview After completing this course, you should be able to:Describe the IBM© MQ deployment optionsPlan for the implementation of IBM© MQ on-premises or in the CloudUse IBM© MQ commands and the IBM© MQ Explorer to create and manage queue managers, queues, and channelsUse the IBM© MQ sample programs and utilities to test the IBM© MQ networkEnable a queue manager to exchange messages with another queue managerConfigure client connections to a queue managerUse a trigger message and a trigger monitor to start an application to process messagesImplement basic queue manager restart and recovery proceduresUse IBM© MQ troubleshooting tools to identify the cause of a problem in the IBM© MQ networkPlan for and implement basic IBM© MQ security featuresUse accounting and statistics messages to monitor the activities of an IBM© MQ systemDefine and administer a simple queue manager cluster This course provides technical professionals with the skills that are needed to administer IBM© MQ queue managers on distributed operating systems and in the Cloud. In addition to the instructor-led lectures, you participate in hands-on lab exercises that are designed to reinforce lecture content. The lab exercises use IBM© MQ V9.0, giving you practical experience with tasks such as handling queue recovery, implementing security, and problem determination. Note: This course does not cover any of the features of MQ for z/OS or MQ for IBM© i. Course introductionIBM© MQ reviewIBM© MQ installation and deployment optionsCreating a queue manager and queuesExercise: Using commands to create a queue manager and queuesIntroduction to IBM© MQ ExplorerExercise: Using IBM© MQ Explorer to create queue managers and queuesTesting the IBM© MQ implementationExercise: Using IBM© MQ sample programs to test the configurationImplementing distributed queuingExercise: Connecting queue managersIBM© MQ clientsExercise: Connecting an IBM© MQ clientImplementing trigger messages and monitorsExercise: Implementing a trigger monitorDiagnosing problemsExercise: Running an IBM© MQ traceImplementing basic security in IBM© MQExercise: Controlling access to IBM© MQBacking up and restoring IBM© MQ messages and object definitionsExercise: Using a media image to restore a queueExercise: Backing up and restoring IBM© MQ object definitionsIntroduction to queue manager clustersExercise: Implementing a basic clusterMonitoring and configuring IBM© MQ for performanceExercise: Monitoring IBM© MQ for performanceCourse summary

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines