19822 Addition courses in Coventry delivered Online

Duration 5 Days 30 CPD hours This course is intended for Channel Field Engineers Employees Overview After taking this course, you should be able to: Define Cisco Business TelePresence Solutions components and architectures Implement Cisco TelePresence Video Communication Server (Expressway) for basic and advanced video networks Implement Cisco TelePresence Management Suite (TMS) Configure Cisco Meeting Server Features Define integration of Cisco Collaboration Premise Solutions with Cisco Cloud, including Cisco Spark, Cisco Spark Hybrid, and WebEx Cisco Video Infrastructure Implementation (VII) v1.0 will provide you with the necessary knowledge and skills to implement a complete Cisco TelePresence solution, including TelePresence endpoints, integration of premise with cloud solutions, meeting solutions, and management software. It describes Cisco business TelePresence solutions and enables students to implement and troubleshoot basic and advanced TelePresence network solutions. Module 1: Advanced Cisco Expressway Features Lesson 1: Introducing Cisco Video Network Solutions Lesson 2: Exploring Cisco Expressway Basic Setup Lesson 3: Explaining Regular Expressions in a Cisco Expressway Environment Lesson 4: Deploying Components of Cisco Expressway Security Lesson 5: Exploring the Fundamentals of Subzones on a Cisco Expressway Lesson 6: Administering Call Control on a Cisco Expressway Lesson 7: Implementing Subzone Bandwidth Management on a Cisco Expressway Lesson 8: Implementing Zones on a Cisco Expressway Lesson 9: Exploring Clustering on the Cisco Expressway Lesson 10: Applying Troubleshooting on the Cisco Expressway Module 2: Advanced Cisco Meeting Server Features Lesson 1: Introducing the Cisco Meeting Server Lesson 2: Exploring Cisco Meeting Server API Configuration Lesson 3: Exploring Cisco Meeting Server Resilient and Scalable Deployments Lesson 4: Exploring Additional Features with Cisco Meeting Server Module 3: Cisco Collaboration Meetin gRoom Solutions wiht Cisco TelePresence Server Lesson 1: Introducing Cisco Collaboration Meeting Room Cloud, Premises, and Hybrid Products Lesson 2: Deploying the Cisco TelePresence Server and Cisco TelePresence Conductor Lesson 3: Applying Troubleshooting to Cisco CMR Premises Solutions Module 4: Cisco TelePresence Management Suite Solution Lesson 1: Explaining Cisco TMS Installation Lesson 2: Describing Cisco TMS Operation Lesson 3: Explaining Cisco TMS Conference Scheduling and Management Lesson 4: Configuring Permissions on Cisco TMS for Administration Lesson 5: Applying Troubleshooting to Cisco TMS Module 5: Cisco Cloud Solutions?WebEx and Spark Lesson 1: Introducing Cisco WebEx and Cisco Spark Cloud Solutions Lesson 2: Exploring Cisco Spark Administration Configuration Lesson 3: Deploying Cisco Spark Hybrid Services Lesson 4: Exploring Cisco Spark APIs and BOTs Configuration Module 6: Cisco TelePresence Content Server (Optional Module) Lesson 1: Examining Cisco TCS Operation and Configuration

Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialist Anyone who builds and develops IT systems Overview Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to preempt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal The Principles of Privacy in Technology training is the how to course on privacy and data protection practices in the development, engineering, deployment and auditing of IT products and services. Those taking the course will develop an understanding of privacy-related issues and practices in the context of the design and implementation of information and communication technologies and systems. The training is based on the body of knowledge for the IAPP?s ANSI accredited Certified Information Privacy Technologist (CIPT) certification program. Fundamentals of information privacy Reviewing the modern history of privacy Foundational privacy concepts Data protection roles and fair information practices Exploring the impacts of privacy and data protection regulations on information management Privacy in the IT environment Compliance requirements IT risks Stakeholder privacy expectations Differentiating between privacy and security Core privacy concepts Foundational elements for embedding privacy in IT Common privacy principles Data protection by design and default Privacy considerations in the information life cycle Privacy considerations throughout the stages of the information life cycle Privacy in systems and applications Examining the risks inherent in the IT environment and options for addressing them Identity and access management Credit card information and processing Remote access BYOD and telecommuting Data encryption Additional privacy-enhancing technologies in the enterprise environment Privacy techniques Strengths and weaknesses of authentication techniques Using identifiers Privacy by design Online privacy issues Unique challenges that come from online privacy issues Laws and regulations Online threats Social media E-commerce Tracking technologies Web security protocols Technologies with privacy considerations Privacy considerations associated with a variety of technologies Cloud computing Wireless IDs Location-based services ?Smart? technologies Video/data/audio surveillance Biometric recognition

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level course designed to teach experienced systems administrators how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Previous Hadoop experience is not required. Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: Understand the benefits of distributed computing Understand the Hadoop architecture (including HDFS and MapReduce) Define administrator participation in Big Data projects Plan, implement, and maintain Hadoop clusters Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.) Plan, deploy and maintain HBase on a Hadoop cluster Monitor and maintain hundreds of servers Pinpoint performance bottlenecks and fix them Apache Hadoop is an open source framework for creating reliable and distributable compute clusters. Hadoop provides an excellent platform (with other related frameworks) to process large unstructured or semi-structured data sets from multiple sources to dissect, classify, learn from and make suggestions for business analytics, decision support, and other advanced forms of machine intelligence. This is an introductory-level, hands-on lab-intensive course geared for the administrator (new to Hadoop) who is charged with maintaining a Hadoop cluster and its related components. You will learn how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Introduction Hadoop history and concepts Ecosystem Distributions High level architecture Hadoop myths Hadoop challenges (hardware / software) Planning and installation Selecting software and Hadoop distributions Sizing the cluster and planning for growth Selecting hardware and network Rack topology Installation Multi-tenancy Directory structure and logs Benchmarking HDFS operations Concepts (horizontal scaling, replication, data locality, rack awareness) Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, DataNode) Health monitoring Command-line and browser-based administration Adding storage and replacing defective drives MapReduce operations Parallel computing before MapReduce: compare HPC versus Hadoop administration MapReduce cluster loads Nodes and Daemons (JobTracker, TaskTracker) MapReduce UI walk through MapReduce configuration Job config Job schedulers Administrator view of MapReduce best practices Optimizing MapReduce Fool proofing MR: what to tell your programmers YARN: architecture and use Advanced topics Hardware monitoring System software monitoring Hadoop cluster monitoring Adding and removing servers and upgrading Hadoop Backup, recovery, and business continuity planning Cluster configuration tweaks Hardware maintenance schedule Oozie scheduling for administrators Securing your cluster with Kerberos The future of Hadoop

Duration 3 Days 18 CPD hours This course is intended for If you have worked in C++ but want to learn how to make the most of this language, especially for large projects, this course is for you. Overview By the end of this course, you'll have developed programming skills that will set you apart from other C++ programmers. After completing this course, you will be able to: Delve into the anatomy and workflow of C++ Study the pros and cons of different approaches to coding in C++ Test, run, and debug your programs Link object files as a dynamic library Use templates, SFINAE, constexpr if expressions and variadic templates Apply best practice to resource management This course begins with advanced C++ concepts by helping you decipher the sophisticated C++ type system and understand how various stages of compilation convert source code to object code. You'll then learn how to recognize the tools that need to be used in order to control the flow of execution, capture data, and pass data around. By creating small models, you'll even discover how to use advanced lambdas and captures and express common API design patterns in C++. As you cover later lessons, you'll explore ways to optimize your code by learning about memory alignment, cache access, and the time a program takes to run. The concluding lesson will help you to maximize performance by understanding modern CPU branch prediction and how to make your code cache-friendly. Anatomy of Portable C++ Software Managing C++ Projects Writing Readable Code No Ducks Allowed ? Types and Deduction C++ Types Creating User Types Structuring our Code No Ducks Allowed ? Templates and Deduction Inheritance, Polymorphism, and Interfaces Templates ? Generic Programming Type Aliases ? typedef and using Class Templates No Leaks Allowed ? Exceptions and Resources Exceptions in C++ RAII and the STL Move Semantics Name Lookup Caveat Emptor Separation of Concerns ? Software Architecture, Functions, and Variadic Templates Function Objects and Lambda Expressions Variadic Templates The Philosophers' Dinner ? Threads and Concurrency Synchronous, Asynchronous, and Threaded Execution Review Synchronization, Data Hazards, and Race Conditions Future, Promises, and Async Streams and I/O File I/O Implementation Classes String I/O Implementation I/O Manipulators Making Additional Streams Using Macros Everybody Falls, It's How You Get Back Up ? Testing and Debugging Assertions Unit Testing and Mock Testing Understanding Exception Handling Breakpoints, Watchpoints, and Data Visualization Need for Speed ? Performance and Optimization Performance Measurement Runtime Profiling Optimization Strategies Cache Friendly Code

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Security administrators Security consultants Network administrators System engineers Technical support personnel Channel partners and resellers Overview Upon completing this course, the learner will be able to meet these overall objectives: Define the use and placement IDS/IPS components. Identify Snort features and requirements. Compile and install Snort. Define and use different modes of Snort. Install and utilize Snort supporting software. Securing Cisco Networks with Open Source Snort (SSFSNORT) v3.0 is a 4-day course that shows you how to deploy Snort© in small to enterprise-scale implementations. You will learn how to install, configure, and operate Snort in Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) modes. You?ll practice installing and configuring Snort, utilize additional software tools and define rules to configure and improve the Snort environment, and more. The course qualifies for 32 Cisco Continuing Education credits (CE) towards recertification.This course will help you:Learning how to implement Snort, an open-source, rule-based, intrusion detection and prevention system. Gain leading-edge skills for high-demand responsibilities focused on security. Module 1: Detecting Intrusions with Snort 3.0 History of Snort IDS IPS IDS vs. IPS Examining Attack Vectors Application vs. Service Recognition Module 2: Sniffing the Network Protocol Analyzers Configuring Global Preferences Capture and Display Filters Capturing Packets Decrypting Secure Sockets Layer (SSL) Encrypted Packets Module 3: Architecting Nextgen Detection Snort 3.0 Design Modular Design Support Plug Holes with Plugins Process Packets Detect Interesting Traffic with Rules Output Data Module 4: Choosing a Snort Platform Provisioning and Placing Snort Installing Snort on Linux Module 5: Operating Snort 3.0 Start Snort Monitor the System for Intrusion Attempts Define Traffic to Monitor Log Intrusion Attempts Actions to Take When Snort Detects an Intrusion Attempt License Snort and Subscriptions Module 6: Examining Snort 3.0 Configuration Introducing Key Features Configure Sensors Lua Configuration Wizard Module 7: Managing Snort Pulled Pork Barnyard2 Elasticsearch, Logstash, and Kibana (ELK) Module 8: Analyzing Rule Syntax and Usage Anatomy of Snort Rules Understand Rule Headers Apply Rule Options Shared Object Rules Optimize Rules Analyze Statistics Module 9: Use Distributed Snort 3.0 Design a Distributed Snort System Sensor Placement Sensor Hardware Requirements Necessary Software Snort Configuration Monitor with Snort Module 10: Examining Lua Introduction to Lua Get Started with Lua

Duration 3 Days 18 CPD hours This course is intended for Cluster administrators (Junior systems administrators, junior cloud administrators) interested in deploying additional clusters to meet increasing demands from their organizations. Cluster engineers (Senior systems administrators, senior cloud administrators, cloud engineers) interested in the planning and design of OpenShift clusters to meet performance and reliability of different workloads and in creating work books for these installations. Site reliability engineers (SREs) interested in deploying test bed clusters to validate new settings, updates, customizations, operational procedures, and responses to incidents. Overview Validate infrastructure prerequisites for an OpenShift cluster. Run the OpenShift installer with custom settings. Describe and monitor each stage of the OpenShift installation process. Collect troubleshooting information during an ongoing installation, or after a failed installation. Complete the configuration of cluster services in a newly installed cluster. Installing OpenShift on a cloud, virtual, or physical infrastructure. Red Hat OpenShift Installation Lab (DO322) teaches essential skills for installing an OpenShift cluster in a range of environments, from proof of concept to production, and how to identify customizations that may be required because of the underlying cloud, virtual, or physical infrastructure. This course is based on Red Hat OpenShift Container Platform 4.6. 1 - Introduction to container technology Describe how software can run in containers orchestrated by Red Hat OpenShift Container Platform. 2 - Create containerized services Provision a server using container technology. 3 - Manage containers Manipulate prebuilt container images to create and manage containerized services. 4 - Manage container images Manage the life cycle of a container image from creation to deletion. 5 - Create custom container images Design and code a Dockerfile to build a custom container image. 6 - Deploy containerized applications on OpenShift Deploy single container applications on OpenShift Container Platform. 7 - Troubleshoot containerized applications Troubleshoot a containerized application deployed on OpenShift. 8 - Deploy and manage applications on an OpenShift cluster Use various application packaging methods to deploy applications to an OpenShift cluster, then manage their resources. 9 - Design containerized applications for OpenShift Select a containerization method for an application and create a container to run on an OpenShift cluster. 10 - Publish enterprise container images Create an enterprise registry and publish container images to it. 11 - Build applications Describe the OpenShift build process, then trigger and manage builds. 12 - Customize source-to-image (S2I) builds Customize an existing S2I base image and create a new one. 13 - Create applications from OpenShift templates Describe the elements of a template and create a multicontainer application template. 14 - Manage application deployments Monitor application health and implement various deployment methods for cloud-native applications. 15 - Perform comprehensive review Create and deploy cloudinative applications on OpenShift.

Duration 5 Days 30 CPD hours This course is intended for Built for IT Professionals working with Citrix ADC, with little to no previous ADC experience. Potential students include administrators, engineers, and architects interested in learning how to implement and manage Citrix ADC features using leading practices. Overview Understand the functionalities and capabilities of Citrix ADC How to obtain, install, and manage Citrix ADC licenses Comprehend basic ADC network architecture Understand how SSL is used to secure Citrix ADC Optimize the ADC system for traffic handling and management Build your Citrix ADC knowledge and skills by enrolling in this five-day course. It covers Citrix ADC essentials-- platforms, architecture, licensing and functionality and also focuses on traffic management, including content switching, traffic optimization and global server load balancing (GSLB). You will learn about key ADC capabilities such as high availability, security and performance, and explore SSL offload, load balancing and monitoring. The traffic management curriculum will cover the AppExpert policy engine, the Rewrite and Responder features, and Content Switching. Module 1: Getting Started Introduction to Citrix ADC Feature and Platform Overview Deployment Options Architectural Overview Setup and Management Module 2: Basic Networking Networking Topology Citrix ADC Components Routing Access Control Lists Module 3: ADC Platforms Citrix ADC MPX Citrix ADC VPX Citrix ADC CPX Citrix ADC SDX Citrix ADC BLX Module 4: High Availability Citrix ADC High Availability High Availability Configuration Managing High Availability In Service Software Upgrade Troubleshooting High Availability Module 5: Load balancing Load Balancing Overview Load Balancing Methods and Monitors Load Balancing Traffic Types Load Balancing Protection Priority Load Balancing Load Balancing Troubleshooting Module 6: SSL Offloading SSL Overview SSL Configuration SSL Offload Troubleshooting SSL Offload SSL Vulnerabilities and Protections Module 7: Security Authentication, Authorization, and Auditing Configuring External Authentication Admin Partitions Module 8: Security Citrix ADC Logging Monitoring with SNMP Reporting and Diagnostics AppFlow Functions Citrix Application Delivery Management Troubleshooting Module 9: Advanced Policies Default Policy Overview Default Expression Syntax Policy Bindings AppExpert Additional Features Module 10: Rewrite Responder URL Transformation Rewrite Policies Responder Policies DNS Rewrite and Responder URL Transformation Module 11: Content Switching Content Switching Overview Content Switching Configuration Module 12: Optimization Citrix ADC Optimization Overview HTTP Compression Integrated Caching Front-End Optimization Module 13: Global Server Load Balancing GSLB Overview GSLB Architecture Content-Switching GSLB GSLB MEP and Monitoring Customizing GSLB

Duration 1 Days 6 CPD hours This course is intended for This course is intended for people who have a basic understanding of Microsoft© Outlook© and want to know how to use its advanced features to manage their email communications, calendar events, contact information, search functions, and other communication tasks. Overview In this course, you will use Outlook?s advanced features to customize and manage your email communications, including using advanced features to organize emails; managing calendar settings and options; managing contact information; scheduling tasks; and managing Outlook archives and data file settings. You will: Insert objects in messages, and modify properties and global options. Organize, search, and manage messages. Protect your mailbox and manage its size. Use rules and Quick Steps to automate message management. Work with advanced calendar settings. Import and forward contacts. Assign delegate permissions and share Outlook items with others. Archive and back up Outlook items using data files. In this course, you will customize command sets, configure mail accounts, set global options, perform advanced searches, apply filters to intercept mail and control spam, create rules to automate mail management tasks, work with calendars and contacts, manage tasks, preserve data with archives and data files, as well as share and delegate access to your Outlook items. In short, you'll work with a wide range of features and options and, in so doing, understand why Outlook is a leading personal management system.This course builds upon the foundational knowledge presented in the Microsoft© Outlook© for Office 365? (Desktop or Online): Part 1 course and will help you customize a communication system well-suited to your work style.This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Outlook Associate (Office 365 and Office 2019): Exam MO-400 . Modifying Message Properties and Customizing Outlook Topic A: Insert Hyperlinks and Symbols Topic B: Modify Message Properties Topic C: Add Email Accounts to Outlook Topic D: Customize Outlook Options Organizing, Searching, and Managing Messages Topic A: Group and Sort Messages Topic B: Filter and Manage Messages Topic C: Search Outlook Items Managing Your Mailbox Topic A: Manage Junk Email Options Topic B: Manage Your Mailbox Size Automating Message Management Topic A: Use Automatic Replies Topic B: Use Rules to Organize Messages Topic C: Create and Use Quick Steps Working with Calendar Settings Topic A: Set Advanced Calendar Options Topic B: Create and Manage Additional Calendars Topic C: Manage Meeting Responses Managing Contacts Topic A: Import and Export Contacts Topic B: Use Electronic Business Cards Topic C: Forward Contacts Sharing Outlook Items Topic A: Assign and Manage Tasks Topic B: Share Your Calendar Topic C: Share Your Contacts Managing Outlook Data Files Topic A: Use Archiving to Manage Mailbox Size Topic B: Work with Outlook Data Files

Duration 4 Days 24 CPD hours This course is intended for #NAME? Overview At the completion of this course, students already familiar with the RHCT/RHCSA administration skills will have exposure to all competencies tested by the RHCSA and RHCE exams. If you are an experienced Linux© system administrator and hold a Red Hat Certified System Administrator (RHCSA©) credential or possess equivalent skills and want to broaden your ability to administer Linux systems at an enterprise level, this is the perfect course.The course will empower you to deploy and manage network servers running caching domain name service (DNS), MariaDB, Apache HTTPD, Postfix SMTP null clients, network file sharing with network file system (NFS) and server message block (SMB), iSCSI initiators and targets, advanced networking and firewall configurations, and to use bash shell scripting to help automate, configure, and troubleshoot your system. Through lectures and hands-on labs, you will be exposed to all competencies covered by the Red Hat Certified Engineer (RHCE) exam (EX300), supplementing what you have already learned in earning your RHCSA credential.This course is based on Red Hat© Enterprise Linux 7. Getting Started with the Classroom Environment Given a virtualized environment, begin to administrate multiple systems using prerequisite skills Enhance User Security Configure system to use Kerberos to verify credentials and grant privileges via sudo Bash Scripting and Tools Automate system administration tasks utilizing Bash scripts and text-based tools File Security with GnuPG Secure files with GnuPG. Software Management Use yum plugins to manage packages and understand the design of packages to build a simple package Network Monitoring Profile running services then capture and analyze network traffic Route Network Traffic Configure system to route traffic and customize network parameters with sysctl Secure Network Traffic Secure network traffic through SSH port forwarding and iptables filtering/network address translation (NAT) NTP Server Configuration Configure an NTP server Filesystems and Logs Manage local file system integrity, monitor system over time, and system logging Centralized and Secure Storage Access centralized storage (iSCSI) and encrypt filesystems SSL-encapsulated Web Services Understand SSL certificates and deploy an SSL encapsulated web service Web Server Additional Configuration Configure web server with virtual hosts, dynamic content, and authenticated directories Basic SMTP Configuration Configure an SMTP server for basic operation (null client, receiving mail, smarthost relay) Caching-Only DNS Server Understand DNS resource records and configure a caching-only name server File Sharing with NFS Configure file sharing between hosts with NFS File Sharing with CIFS Configure file and print sharing between hosts with CIFS File Sharing with FTP Configure file sharing with anonymous FTP Troubleshooting Boot Process Understand the boot process and recover unbootable systems with rescue mode