171 Courses

Duration 5 Days 30 CPD hours This course is intended for Application Developers; Programmers, Sales and Pre Sales, Technical Support, Project Managers, Cisco customers, partners and employees involved in UCCE/CVP or CVP stand alone deployments Overview Upon completing this course, the learner will be able to meet these overall objectives: Introduction to the Java API, its capabilities and limitations - Practice - This course is applicable for any version of CVP and Studio. Introduction to Voice Elements and their complexity - creating every different Java component to extend Studio (see below) Overview of a UCCE with CVP Comprehensive Call Flow Module 1 Overview of a UCCE with CVP Comprehensive Call Flow Module 2 ICM routing scripts to route calls to CVP VXML Server applications Passing data (e.g., global variables) Parsing and evaluating data returned Queueing Assigning data to send to Finesse. Module 3 Writing Call Studio scripts (applications) Prompting Callers ? using pre-recorded audio; TTS text-to-speech; Say it Smart to format audio as digits, date, time, currency; input error reprompting Menus Collecting and confirming caller input, such as account numbers, dates of birth, etc Working with variables ? Session data, Element data, Call data, Local data (CVP11) Introduction to retrieving data from back end systems: SQL Database interaction ? using the Studio Database element to select data Web service interaction- Studio Web Services element for SOAP-web services and calling a simple REST web service Playing audio to callers during back-end data retrieval Catch events Working with counters, decisions, math Introduction to javascript for substrings and string length Setting VoiceXML properties affecting the gateway Multi-Language applications Module 4 Working with Version Control Module 5 ÿImplementing a Post Call Survey Module 6 Using the Studio Debugger to test applications within Studio Module 7 CVP Reporting Server and CVP CUIC Reports Best practices regarding naming elements and variables Configuring data to pass to the Reporting Server using OAMP Understanding Reporting Server tables Understanding the Application Summary CUIC reports Module 8 Administration covered throughout the course OAMP Operations Console to deploy applications to VXML Server Using Studio Documenter to print Visio-like diagrams of the application Configuring log file properties Using logs for debugging applications Administrative scripts for graceful updates or suspensions of the server Important log, debug, administration files Module 9 Cisco Courtesy Callback Detailed discussion of the CCB Call flow, the ICM script, and the 5 Studio scripts used for Courtesy Callback.

Duration 3 Days 18 CPD hours This course is intended for Network administrators, IT managers, VMware partners, and individuals responsible for implementing and managing the NSX-T Data Center Federation. Overview By the end of the course, you should be able to meet the following objectives: Describe the Federation architecture and use cases Deploy and configure Global Managers and sites Import network components from the Local Manager to a Global Manager Describe different topologies and deployment methods Describe layer 2 connectivity Describe East-West routing Describe North-South routing Configure security regions, groups, and rules Describe various Disaster Recovery scenarios This three-day, hands-on training course provides you with the knowledge and skills to achieve competency in deploying, configuring, and managing the VMware NSX-TTM Data Center Federation. This course first introduces you to the architecture of the NSX-T Data Center Federation and then covers all features and functionality offered in the Federation, including the deployment of logical switching, logical routing, and security policies across multiple sites. Finally, the course describes various disaster recovery scenarios for the Federation. Course Introduction Introductions and course logistics Course objectives Introduction to Federation Describe the Federation and its use cases Explain the Federation architecture Describe the Federation components Deploy and register active/standby Global Managers and sites Import network components from a Local Manager to the Global Manager Federation Deployment and Topologies Explain different supported and non-supported topologies for the Federation Describe different deployment methods for the Federation Create and configure Remote Tunnel Endpoints (RTEs) Configuring Federation Switching and Routing Understand the prerequisites to configure stretched segments, Tier-1, and Tier-0 gateways Configure stretched Tier-1 gateways Configure stretched segments Configure stretched Tier-0 uplinks Configure stretched Tier-0 gateways Federation Packet Walks Describe layer 2 connectivity and MAC learning Describe East-West packet walkthrough Describe South-North packet walkthrough Federation Security Describe Federation security Explain different configuration workflows for Federation security Define Federation security components Configure security groups, policies, and rules from the Global Manager Discuss examples of groups in different spans Discuss global rule realization examples High Availability and Disaster Recovery Describe high availability leading practices in the Federation Describe failure and disaster recovery scenarios for the Federation Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware NSX-T Data Center: Multisite Deployments with Federation 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 VMware NSX-T Data Center: Multisite Deployments with Federation 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 4.375 Days 26.25 CPD hours This course is intended for This course provides a jump start on learning material that relates to the CMMC program, and to the planned Certified Professional (CP) certification in particular. It discusses the CMMC program, the current CMMC Model, and other CMMC materials as they exist today. The course may be of interest to individuals who wish to pursue the CMMC-CP certification when it is released. It may also be useful to stakeholders in organizations who will be involved in CMMC assessments, and who wish to gain a general understanding of the program and its requirements for their business planning purposes Overview In this course, you will examine the current CMMC model (Version 1.02), framework, context, and application within the DoD, as well as the expectations and requirements that will be imposed upon organizations that do business with the DoD. It will also help you to identify threats to cybersecurity and privacy within an IoT ecosystem and implement appropriate countermeasures. You will gain the skills to: · Identify risks within the defense supply chain and the established standards for managing them. · Describe how the CMMC model ensures compliance with federal acquisition regulations. · Identify responsibilities of the CMMC Certified Professional, including appropriate ethics and behavior. · Identify regulated information and establish the Certification and Assessment scope boundaries for evaluating the systems that protect that regulated information. · Evaluate OSC readiness and determine the objective evidence you intend to present to the assessor. · Use the NIST 800-171A and CMMC Assessment Guide to assess objective evidence for processes and practices. · Implement and evaluate practices required to meet CMMC maturity level 1. · Implement and evaluate processes and practices required to meet CMMC maturity level 2. · Implement and evaluate processes and practices required to meet CMMC maturity level 3. · Identify processes and practices required to meet CMMC maturity levels 4 and 5. · Work through the logistics of a CMMC assessment, including planning for and conducting the assessment, as well as any follow-up processes, such as remediation and adjudication. The Cybersecurity Maturity Model Certification (CMMC), managed by the CMMC Accreditation Body (CMMC-AB), is a program through which an organization's cybersecurity program is measured by their initial and ongoing compliance with applicable cybersecurity practices as well as their integration of corresponding policies and plans into their overall business operations. By Fiscal Year 2026, all organizations providing products or services to the United States Department of Defense (DoD) must obtain at least a Maturity Level 1 certification under this program. Managing Risk within the Defense Supply Chain Topic A: Identify Threats to the Defense Supply Chain Topic B: Identify Regulatory Responses Against Threats Ensuring Compliance through CMMC Topic A: Identify Limitations of Self-Certification Topic B: Identify Benefits of CMMC Topic C: Describe the CMMC Model Architecture Performing the General Responsibilities of a CMMC CP Topic A: Identify Responsibilities of the CMMC CP Topic B: Demonstrate Appropriate Ethics and Behavior Identifying and Scoping Regulated Information Topic A: Identify Regulated Information Topic B: Establish the Certification and Assessment Scope Boundaries Initiating the Assessment Process Topic A: Evaluate Readiness Topic B: Determine Objective Evidence Assessing Objective Evidence Topic A: Assess the Practices Using the CMMC Assessment Guides Topic B: Assess the Processes Using the CMMC Assessment Guide Level 3 Implementing and Evaluating CMMC Level 1 TTopic A: Maturity Level 1 Domains and Practices Topic B: Determine Scope Boundaries at Maturity Level 1 Topic C: Perform a Maturity Level 1 Gap Analysis Topic D: Perform a Maturity Level 1 Evidence Validation Implementing and Evaluating CMMC Levels 2 and 3 Topic A: Process Maturity Requirements for CMMC Levels 2 and 3 Topic B: Maturity Level 2 Practices Topic C: Maturity Level 3 Practices Identifying CMMC Levels 4 and 5 Topic A: Maturity Level 4 Processes and Practices Topic B: Maturity Level 5 Processes and Practices Working Through a CMMC Assessment Topic A: Define the Assessment Logistics Topic B: Resolve Assessment Related Issues Appendix A: Additional Documentation the CP Should Study

Duration 5 Days 30 CPD hours This course is intended for Operators, administrators, and architects for VMware Horizon should enroll in this course. These individuals are responsible for the creation, maintenance, and or delivery of remote and virtual desktop services. Additional duties can include the implementation, support, and administration of an organization's end-user computing infrastructure. Overview By the end of the course, you should be able to meet the following objectives: Assess the business and application requirements of an environment Analyze design choices and design an EUC infrastructure architecture that addresses the needs of the environment Design an EUC architecture that addresses the needs of the organization and follows VMware best practices Document a design that can be implemented Design a comprehensive VMware EUC solution This five-day course presents a methodology for designing a VMware end-user computing (EUC) solution. The design methodology includes recommendations for the types of information and data that must be gathered and analyzed to make sound design decisions for the client systems, the desktop options, the VMware vSphere© infrastructure, VMware Horizon©, VMware Horizon© Cloud ServiceTM, VMware Workspace ONE© UEM, VMware Workspace ONE© AccessTM, VMware NSX-TTM, and VMware Unified Access GatewayTM. VMware best practices are presented for each phase of the design process. In this course, you apply your new knowledge by working with other participants to design a VMware EUC solution for a real-world project. Course Introduction Introductions and course logistics Course objectives VMWare EUC Design Methodology Recognize the characteristics of a good design. Identify the phases of VMware EUC Design Methodology Presenting Solutions to Executive Management Identify behaviors that can affect team performance negatively List common mistakes when working in a team Describe how to tailor a presentation to the company?s values, and stakeholders? backgrounds and roles List questions you should ask to identify how to address a problem a client is trying to solve Infrastructure Assessment and Services Definition Define customer business objective Define a use case for your virtual desktop and application infrastructure Convert customer requirements to use-case attributes Horizon Architecture and Components Determine the components required for a Horizon on-premises or Horizon Cloud deployment Implement the design considerations and recommendations for various Horizon components Analyze the use-case scenarios for various the Horizon deployment options Component Design: Horizon Pods Design a single-site Horizon desktop block and pod configuration for a given use case Design Cloud Pod Architecture for multisite pool access Design Control Plane Services Architecture for multisite pool access Component Design: App Volumes and Dynamic Environment Manager Identify the functionalities of the components in App Volumes Logical Architecture Implement the recommended practices when designing an application delivery mechanism using App Volumes Component Design: Workspace ONE Map the Horizon desktop building block and the Horizon management building block to VMware vSphere. Identify factors and design decisions that determine the sizing for ESXi hosts Workspace ONE & Horizon Infrastructure Design Design the environment resources required to support a Workspace ONE and Horizon deployment Identify factors and design decisions that determine the sizing for ESXi host Discuss the factors that determine the sizing for shared storage Identify the design decisions related to bandwidth utilization Discuss the implications of using load balancing and traffic management Identify factors and design decisions that determine the sizing of the Azure pods Design Integration and Delivery List the platform components that needs to be integrated along with their dependent services. Integrate Workspace ONE and Horizon platform components. Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware End User Computing: Design 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 VMware End User Computing: Design 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 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators responsible for using the advanced features of vRealize Automation in enterprise deployments. Overview By the end of the course, you should be able to meet the following objectives Describe and configure the vRealize Automation in a clustered enterprise deployment using VMware vRealize Suite Lifecycle Manager™ Scale VMware Identity Manager™ to support High Availability. Configure security certificates in vRealize Automation from external Certificate Authorities. Describe the clustered deployment architecture, including Kubernetes pods and services. Create and configure advanced blueprints with complex YAML and cloudConfig. Use vRealize Automation advanced blueprints to deploy an actual 2-tier DB-Server using MySQL and phpMyAdmin. Practice troubleshooting techniques with advanced YAML blueprints in vRealize Automation. Use advanced VMware NSX-TTM Data Center networking features including NAT, routed networks, load balancers, security groups, and tags. Use VMware Code Stream™ to integrate vRealize Automation with Kubernetes. Create Code Stream pipelines. Create and use Ansible playbooks that integrate with vRealize Automation. Configure vRealize Automation to integrate with Puppet. Configure and use ABX actions to create day-2 actions and interface with PowerShell scripts. Use vracli commands, log files, and VMware vRealize Log Insight™ to troubleshoot vRealize Automation and vRealize Automation deployments. This five-day course is a follow-on to the VMware vRealize© Automation? Install, Configure, Manage course. In this course you go deeper into the advanced features of vRealize Automation to deploy user systems and interface vRealize Automation with other platforms and you learn how to deploy an enterprise-level cluster environment using LCM. This course relies heavily on hands-on labs. Course Introduction Introductions and course logistics Course objectives vRealize Automation Clustered Deployment Use LCM in a clustered deployment Configure External Certificates Configure NSX-T Data Center load balancer Install vRealize Automation using Clustered Deployment Scale VMware Identity Manager to support High Availability vRealize Automation Clustered Deployment Architecture List of Kubernetes Pods The vRealize Automation Kubernetes Architecture Relationship of Kubernetes Pods to Services Logs and their locations Blueprint deployment workflow with Kubernetes Service interaction Backup strategies and potential problems Advanced Blueprints Use advanced YAML and cloudConfig to deploy a functioning 2-tier application with a phpMyAdmin front-end server and a MySQL database server Use troubleshooting techniques to debug problems in advanced YAML blueprints List the log files that can aid in troubleshooting blueprint deployment Advanced Networking Use VMware NSX-T Data Center advanced features in blueprints Interfacing to IPAMs Use NSX-T Data Center NAT in blueprints Use NSX-T Data Center routed networks Use NSX-T Data Center load balancers Use NSX-T Data Center security groups Use tags with NSX-T Data Center network profiles Using vRealize Orchestrator Create Day-2 Actions with vRealize Orchestrator workflows Troubleshoot vRealize Orchestrator cluster issues Use vRealize Orchestrator to add computer objects to Active Directory when vRealize Automation deploys blueprints Use a tagging approach to vRealize Orchestrator workflows Use dynamic forms with vRealize Orchestrator Using ABX Actions Determine when to use ABX and when to use vRealize Orchestrator Use ABX to create day-2 Actions Call PowerShell from ABX Kubernetes Integration Create a Kubernetes namespace from vRealize Automation Connect to an existing Kubernetes cluster Automate the deployment of an application to a Kubernetes cluster with Code Stream Use Kubernetes in Extensibility Code Stream Create and use CI/CD pipelines Use the Code Stream user interface Add states and tasks to a Code Stream pipeline Integrate code from Code Stream with Git Using GitLab Integration Configure the GitLab Integration Use Gitlab with blueprints Configuration Management Describe the use case of Ansible and Ansible Tower Connect to Ansible Tower Use Ansible playbooks Use Puppet in configuration management Troubleshooting vracli commands and when to use them Check the status of Kubernetes pods and services Correct the state of pods and services Diagnose and solve vRealize Automation infrastructure problems Diagnose and solve vRealize Automation failures to deploy blueprints and services Use vRealize Log Insight for troubleshooting Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] 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 VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] 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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Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 2 Days 12 CPD hours This course is intended for This training is ideally suited for data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities. It will also benefit system administrators and data engineers who wish to harness Elastic Stack's functionalities for efficient system logging, monitoring, and robust data visualization. With a focus on practical application, this course is perfect for those aspiring to solve complex data challenges in real-time environments across diverse industry verticals. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll explore: New features and updates introduced in Elastic Stack 7.0 Fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana Useful tips for using Elastic Cloud and deploying Elastic Stack in production environments How to install and configure an Elasticsearch architecture How to solve the full-text search problem with Elasticsearch Powerful analytics capabilities through aggregations using Elasticsearch How to build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis How to create interactive dashboards for effective storytelling with your data using Kibana How to secure, monitor and use Elastic Stack's alerting and reporting capabilities The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. Geared for experienced data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities, Working with Elasticsearch will explore how to use Elastic Stack and Elasticsearch efficiently to build powerful real-time data processing applications. Throughout the two-day hands-on course, you?ll explore the power of this robust toolset that enables advanced distributed search, analytics, logging, and visualization of data, enabled by new features in Elastic Stack 7.0. You?ll delve into the core functionalities of Elastic Stack, understanding the role of each component in constructing potent real-time data processing applications. You?ll gain proficiency in Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for compelling data visualization. You?ll also explore the art of crafting custom plugins using Kibana and Beats, and familiarize yourself with Elastic X-Pack, a vital extension for effective security and monitoring. The course also covers essentials like Elasticsearch architecture, solving full-text search problems, data pipeline building, and creating interactive Kibana dashboards. Learn how to deploy Elastic Stack in production environments and explore the powerful analytics capabilities offered through Elasticsearch aggregations. The course will also touch upon securing, monitoring, and utilizing Elastic Stack's alerting and reporting capabilities. Hands-on labs, captivating demonstrations, and interactive group activities enrich your learning journey throughout the course. Introducing Elastic Stack What is Elasticsearch, and why use it? Exploring the components of the Elastic Stack Use cases of Elastic Stack Downloading and installing Getting Started with Elasticsearch Using the Kibana Console UI Core concepts of Elasticsearch CRUD operations Creating indexes and taking control of mapping REST API overview Searching - What is Relevant The basics of text analysis Searching from structured data Searching from the full text Writing compound queries Modeling relationships Analytics with Elasticsearch The basics of aggregations Preparing data for analysis Metric aggregations Bucket aggregations Pipeline aggregations Substantial Lab and Case Study Analyzing Log Data Log analysis challenges Using Logstash The Logstash architecture Overview of Logstash plugins Ingest node Visualizing Data with Kibana Downloading and installing Kibana Preparing data Kibana UI Timelion Using plugins

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level course, designed for anyone wanting to learn Linux. Attendees should be comfortable working with computers and the command line, but no other specific skills are required to attend. Overview This skills-focused course is about 50% lab to lecture ratio, combining expert instructor-led discussions with practical hands-on labs that emphasize current techniques, best practices and standards. Working in a hands-on lab environment, guided by our expert practitioner, attendees will explore The Design of Linux Basic Operations File System Basics Wildcards File and Directory Permissions Working with files Executing Programs Using find Filters and other useful commands The vi editor Customizing the user environment Networking/Communications Backups and archiving This hands-on course provides you with an essentials-level foundation in core skills for using any version of Linux. This course focuses on essential skills that ordinary users might use daily when working with Linux. The Design of Linux A brief history of Linux The Linux design philosophy Linux architecture Basic Operations Logging in and out The general form of a Linux command Common commands Using man pages Essential commands File System Basics The Linux directory structure Standard directories Relative and absolute pathnames Legal file names Navigating the filesystem Wildcards Matching one character Matching many characters Shortcuts Wildcard gotchas Wildcards and ls File and Directory Permissions Viewing permissions File permissions Directory permissions Setting defaults Changing permissions Keeping data secure Working with files Viewing contents Identifying file contents Copying and moving Deleting Using symbolic links Executing Programs Redirecting STDOUT Redirecting STDERR Redirecting STDIN Creating pipelines Processes attributes Listing processes Killing processes Foreground & background processes Using find Syntax Finding by name, type, or size Combining tests Finding by size, owner, or timestamps Using xargs with find Other find options Filters and other useful commands What is a filter? cat: a generic filter head and tail grep sort wc other interesting filters The vi editor Why vi? Basic vi operations: navigating, adding, deleting Advanced operations: buffer management, search and replace, configuration options Customizing the user environment About shells Shell startup files Shell variables Search path Aliases Simple shell scripts Networking/Communications Reading and sending mail Remote login Remote file transfer Other network utilities (ping, finger, etc) Backups and archiving Checking space used or available Creating tar archives Viewing and extracting files from archives Compression utilities Working with windows