58917 Courses

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 3 Days 18 CPD hours This course is intended for Field engineers Network engineers Network administrators System engineers Overview After taking this course, you should be able to: Describe Cisco SD-Access architecture and its components Explain Cisco DNA Center deployment models, scaling, and high availability Identify Cisco SD-Access fabric protocols and node roles Understand the Cisco SD-Access Wireless deployment models Automate Day 0 device onboarding with Cisco DNA Center LAN Automation and Network PnP Deploy simple Cisco SD-Access fabric networks Monitor health and performance of the network with Cisco DNA Center Assurance Interact with the Cisco DNA Center Platform Intent APIs The Understanding Cisco SDA Fundamentals (SDAFND) v1.0 course introduces you to Cisco© Software-Defined Access and teaches you, through a combination of lectures and labs, how to implement simple, single-site fabric networks.You will learn the benefits of leveraging Software-Defined Access in the Cisco-powered Enterprise Campus network. SDAFNDwill introduce the solution, its architecture and components, and guide you through labs to design and deploy simple Cisco SD-Access networks. Course Outline Introducing Cisco SD-Access Introducing Cisco DNA Center Exploring Cisco SD-Access Solution Components Exploring Cisco SD-Access Wireless Architecture Automating Network Changes with Cisco DNA Center Deploying Fabric Networks with Cisco DNA Center Exploring Cisco DNA Center Assurance Exploring Cisco DNA Center Programmability

Duration 2 Days 12 CPD hours This course is intended for Security architects System designers Network administrators Operations engineers Network managers, network or security technicians, and security engineers and managers responsible for web security Cisco integrators and partners Overview After taking this course, you should be able to: Describe Cisco WSA Deploy proxy services Utilize authentication Describe decryption policies to control HTTPS traffic Understand differentiated traffic access policies and identification profiles Enforce acceptable use control settings Defend against malware Describe data security and data loss prevention Perform administration and troubleshooting This course shows you how to implement, use, and maintain Cisco© Web Security Appliance (WSA), powered by Cisco Talos, to provide advanced protection for business email and control against web security threats. Through a combination of expert instruction and hands-on practice, you?ll learn how to deploy proxy services, use authentication, implement policies to control HTTPS traffic and access, implement use control settings and policies, use the solution?s anti-malware features, implement data security and data loss prevention, perform administration of Cisco WSA solution, and more.This course helps you prepare to take the exam, Securing the Web with Cisco Web Security Appliance (300-725 SWSA). Describing Cisco WSA Technology Use Case Cisco WSA Solution Cisco WSA Features Cisco WSA Architecture Proxy Service Integrated Layer 4 Traffic Monitor Data Loss Prevention Cisco Cognitive Intelligence Management Tools Cisco Advanced Web Security Reporting (AWSR) and Third-Party Integration Cisco Content Security Management Appliance (SMA) Deploying Proxy Services Explicit Forward Mode vs. Transparent Mode Transparent Mode Traffic Redirection Web Cache Control Protocol Web Cache Communication Protocol (WCCP) Upstream and Downstream Flow Proxy Bypass Proxy Caching Proxy Auto-Config (PAC) Files FTP Proxy Socket Secure (SOCKS) Proxy Proxy Access Log and HTTP Headers Customizing Error Notifications with End User Notification (EUN) Pages Utilizing Authentication Authentication Protocols Authentication Realms Tracking User Credentials Explicit (Forward) and Transparent Proxy Mode Bypassing Authentication with Problematic Agents Reporting and Authentication Re-Authentication FTP Proxy Authentication Troubleshooting Joining Domains and Test Authentication Integration with Cisco Identity Services Engine (ISE) Creating Decryption Policies to Control HTTPS Traffic Transport Layer Security (TLS)/Secure Sockets Layer (SSL) Inspection Overview Certificate Overview Overview of HTTPS Decryption Policies Activating HTTPS Proxy Function Access Control List (ACL) Tags for HTTPS Inspection Access Log Examples Understanding Differentiated Traffic Access Policies and Identification Profiles Overview of Access Policies Access Policy Groups Overview of Identification Profiles Identification Profiles and Authentication Access Policy and Identification Profiles Processing Order Other Policy Types Access Log Examples ACL Decision Tags and Policy Groups Enforcing Time-Based and Traffic Volume Acceptable Use Policies, and End User Notifications Defending Against Malware Web Reputation Filters Anti-Malware Scanning Scanning Outbound Traffic Anti-Malware and Reputation in Policies File Reputation Filtering and File Analysis Cisco Advanced Malware Protection File Reputation and Analysis Features Integration with Cisco Cognitive Intelligence Enforcing Acceptable Use Control Settings Controlling Web Usage URL Filtering URL Category Solutions Dynamic Content Analysis Engine Web Application Visibility and Control Enforcing Media Bandwidth Limits Software as a Service (SaaS) Access Control Filtering Adult Content Data Security and Data Loss Prevention Data Security Cisco Data Security Solution Data Security Policy Definitions Data Security Logs Performing Administration and Troubleshooting Monitor the Cisco Web Security Appliance Cisco WSA Reports Monitoring System Activity Through Logs System Administration Tasks Troubleshooting Command Line Interface

Duration 1 Days 6 CPD hours This course is intended for Software developers, system administrators, and IT professionals who are focused on Microsoft Windows Overview Configuring Microsoft Windows and Microsoft SQL Server in Google Compute Engine. Deploying ASP.NET MVC applications to Google Compute Engine. Deploying .NET Core applications to Google Compute Engine, Google Compute Engine, and Google Container Engine Learn how to create Windows virtual machines on Google Cloud so that you can deploy and run Microsoft Windows applications. In this course, you'll learn how to run SQL Server in Compute Engine, how to deploy instances across Google Cloud zones, and how to get more out of ASP.NET on Compute Engine, Google Container Engine, and App Engine. Introduction to Google Cloud Platform Scope and structure of GCP. Options for Windows deployment on GCP. GCP interfaces. Windows Workloads on Google Compute Engine Google Compute Engine virtual machine options. Integrating Active Directory with Google Compute Engine virtual machines. Options for running SQL Server in Google Compute Engine. Configuring SQL Server for high availability. Developing ASP.NET MVC applications Model-view-controller structure. Using Microsoft Visual Studio?s Web Project template to develop in ASP.NET. Deploying applications to Microsoft Internet Information Server (IIS) in GCE. Configuring Resilient Workloads Deploying instances across GCP zones. Using instance groups to create pools of virtual machines. Load balancing Windows applications. Delivering Next-Generation ASP.NET Core on GCP Understanding .NET Core and EF Core. Options for deploying ASP.NET Core applications on Google Cloud Platform. Deploying ASP.NET Core applications on Google Compute Engine. Deploying ASP.NET Core applications on Google Container Engine. Deploying ASP.NET Core applications on Google App Engine. Additional course details: Nexus Humans Develop and Deploy Windows Applications on Google Cloud Platform 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 Develop and Deploy Windows Applications on Google Cloud Platform 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 If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 2 Days 12 CPD hours This course is intended for Built for experienced IT Professionals familiar with Citrix Virtual Apps and Desktops 7 in an on-premises environment or Citrix Cloud looking to expand their Citrix Virtual Apps and Desktops skills to an advanced level. Potential students include administrators or engineers responsible for the Citrix Apps and Desktop 7 Site. Overview After completing this course you should be able to: Configure Workspace Environment Management to improve the end user environment and virtual resource consumption Implement App Layering skills, for example how to create and administer OS, platform, application, elastic and user layers Migrate to Workspace Environment Management Students will learn to build and combine App Layers to optimize management of your app and desktop images and to implement Workspace Environment Management to improve log-on times, centralize user settings management, and optimize the performance of machines. Students will leave this course with a good understanding of how to manage more complex solutions and features in their Citrix Virtual Apps and Desktop 7 site. Introduction to App Layering App Layering Introduction Architecture and How it Works The OS Layer Creating an OS Layer The Platform Layer Creating a Platform Layer The App Layers Creating App Layers Creating Elastic App and User Layers Elastic App Layering User Layers Deploying a Layered Image using Citrix Virtual Apps and Desktops Using Templates in App Layering Using Layered Images in a Citrix Virtual Apps and Desktops Site Exploring Layer Priority Layer Priority Maintaining an App Layering Environment Updating Layers Maintaining and Updating the App Layering Environment Common App Layering Considerations and Additional Resources Introduction to Workspace Environment Management (WEM) Workspace Environment Management (WEM) Introduction WEM Administration Using WEM to Centralize Environment Management Managing User Resources with WEM Managing Profiles with WEM Managing Endpoints with the WEM Transformer Feature Using WEM for Performance Optimizing Machine Performance with WEM Optimizing User Experience with WEM Using WEM to Secure Environments WEM Security Features Migrating and Upgrading WEM Migrating to WEM Upgrading a WEM Deployment WEM Multi-Location Considerations Additional course details: Nexus Humans CWS-314 Citrix App Layering and WEM Administration 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 CWS-314 Citrix App Layering and WEM Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for network engineers, support personnel, reseller support, and others responsible for implementing Juniper Networks ScreenOS firewall products. Overview After successfully completing this course, you should be able to:Explain the Juniper Networks security architecture.Configure administrative access and options.Back up and restore configuration and ScreenOS files.Configure a ScreenOS device in transparent, route, Network Address Translation (NAT), and IP version 6 (IPv6) modes.Discuss the applications of multiple virtual routers.Configure the Juniper Networks firewall to permit and deny traffic based on user defined policies.Configure advanced policy options.Identify and configure network designs for various types of network address translation.Configure policy-based and route-based VPN tunnels. This course is the first in the ScreenOS curriculum. It is a course that focuses on configuration of the ScreenOS firewall/virtual private network (VPN) products in a variety of situations, including basic administrative access, routing, firewall policies and policy options, address translation, and VPN implementations. The course combines both lecture and labs, with significant time allocated for hands-on experience. Students completing this course should be confident in their ability to configure Juniper Networks firewall/VPN products in a wide range of installations. Chapter 1: Course IntroductionChapter 2: ScreenOS Concepts, Terminology, and PlatformsChapter 3: Initial Connectivity Lab 1: Initial Configuration Chapter 4: Device Management Lab 2: Device Administration Chapter 5: Layer 3 Operations Lab 3: Layer 3 Operations Chapter 6: Basic Policy Configuration Lab 4: Basic Policy Configuration Chapter 7: Policy Options Lab 5: Policy Options Chapter 8: Address Translation Lab 6: Address Translation Chapter 9: VPN ConceptsChapter 10: Policy-Based VPNs Lab 7: Policy-Based VPNs Chapter 11: Route-Based VPNs Lab 8: Route-Based VPNs Chapter 12: IPv6 Lab 9: IPv6 Appendix A: Additional FeaturesAppendix B: Transparent Mode Lab 10: Transparent Mode (Optional) Additional course details: Nexus Humans Configuring Juniper Networks Firewall/IPSec VPN Products 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 Configuring Juniper Networks Firewall/IPSec VPN Products 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 course is intended for working professionals in various job roles, both native and non-native English speakers, who use formal and informal written communications in the course of business, and who seek to improve their grammar usage. Overview In this course, you will develop the skills to coach for results. You will: Define coaching and determine how you want to coach. Build a foundation for coaching. Establish a coaching process. Execute a coaching plan. Coach teams and coach remotely. As a leader in your organization, you're expected to help people meet or exceed expectations and to help ensure productivity and profitability for the organization. Coaching is a leadership tool that is effective in improving performance and contributing to the goals of the organization. In this course, you will build a foundation for coaching, establish a coaching process, execute a coaching plan, and explore strategies for coaching in different business scenarios. Many different factors can affect employee performance. When performance problems arise, people need to be supported to get back on track and do their jobs well. Coaching is an effective way of confirming an employee's value while improving performance. Coaching contributes to employee retention because it offers the opportunity to grow, provides motivation, and supports learning. Coaching also enhances the image and effectiveness of managers and supervisors. Defining Yourself as a Coach Define Coaching Determine a Coaching Approach Developing Core Coaching Skills Evaluate Performance Develop Essential Interpersonal Skills Establishing a Coaching Process Initiate the Coaching Relationship Agree on a Coaching Plan Executing the Coaching Plan Coach Adjust the Coaching Plan Verify That Goals Have Been Met Coaching in Different Business Scenarios Coach a Team Coach Remotely

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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 This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe network architectures, devices, and software used by service providers Describe the various Internet governance organizations, their roles, and tools available for governance information verification Configure Cisco Internetwork Operating System (Cisco IOS) and Cisco IOS XE routers Describe Cisco IOS XR software, perform initial configuration, and explain platform daily tasks Describe various access and core technologies used by service providers Describe various major switching technologies used by service providers Describe major overlay technologies and their usage, and configure Virtual Extensible LAN I (VxLAN) Describe various major routing protocols used by service providers Configure Layer 3 services used by service providers Describe Multiprotocol Label Switching (MPLS), components, protocols, and MPLS usage Describe usage of various services used and maintained by service providers Introduce Linux networking, Bourne Again Shell (BASH) scripting, and their usage within Cisco IOS XR software This course is designed to provide you with the foundational knowledge for the suite of Cisco© CCNP© Service Provider courses. The course expands what you learned from the Cisco CCNA© course with a focus on theoretical and practical knowledge needed for the Service Provider environment. Through a combination of lessons and hands-on practice, you will learn about architectures, protocols, software and hardware platforms, and solutions within the Service Provider realm. While this course does not lead directly to a certification exam, it does cover foundational knowledge critical to the success in the Service Provider Technology track. Course Outline Introducing Service Provider Architectures Describing Internet Governance Organizations Configuring the Cisco IOS and Cisco IOS XE Router Configuring Cisco IOS XR Router Introducing Access and Core Technologies in the Service Provider Environment Introducing Routing Technologies in the Service Provider Environment Describing MPLS Implementing Layer 3 Services Introducing Switching Technologies in the Service Provider Environment Introducing Overlay Technologies Implementing Service Provider Services Introducing Programmability on Cisco IOS XR Routers Lab outline Review Lab Environment Examine Governance Data Perform an Initial Cisco Internetworking Operating System (IOS XE) Configuration Configure Connectivity and Connectivity Verification on Cisco IOS XE Devices Perform Initial Cisco IOS XR Configuration Configure and Verify Connectivity on Cisco IOS XR Configure Intermediate System to Intermediate System (IS-IS) Configure Routing Information Protocol (RIPv2) and RIP extension (RIPng) Configure Basic Border Gateway Protocol (BGP) Configure MPLS Configure Internet Protocol Service Level Agreement (IP SLA) Configure Hot Standby Router Protocol (HSRP) with Object Tracking Configure Virtual Routing and Forwarding (VRFs) Configure Network Time Protocol (NTP) Use Linux Command Line Interface Configure IOS XR Using a Bash Script