21398 Courses

Duration 3 Days 18 CPD hours This course is intended for Deployment engineer Sales engineer Overview After taking this course, you should be able to: Describe the components, protocols, and call flow of Cisco Packaged Contact Center Enterprise (PCCE) by referencing the discovery platform to prepare for further scripting and configuration activities. Run the CCE Bulk Import utility using the CCE Web Administration tool to develop a base line CCE configuration. Configure an advanced VoiceXML (VXML) application implementing DB lookup functionality and digit collection using Call Studio and CCE Scripting tools; present call data collected from the caller to the Agent desktop. Provision CCE to support Cisco Unified Communications Manager (CUCM) calls to the Contact Center using CUCM and CCE configuration tools. This functionality enables CCE Route Requests from CUCM to support contacts initiated from a CUCM managed device (Gateways, Phones, Line Side Interactive Voice Response [IVR] Ports). This functionality can also enable non-Contact Center calls and calls handled by Agents, whether existing or new. Access and deploy custom gadgets to the Finesse desktop using the CCE Web Administration tool to further enhance functionality of the Finesse Agent Desktop. Successfully deploy Mobile Agent in a CCE Environment. Successfully deploy Post Call Survey in a CCE Environment. The Administering Advanced Cisco Contact Center Enterprise (CCEAA) v1.0 course teaches you how to execute advanced administration tasks associated with the Cisco Contact Center Enterprise (CCE) solution. PCCE Review Review PCCE Architecture and Components Review PCCE Protocols Introducing Bulk Import Tools Use the PCCE Bulk Import Tool Use Bulk Import Templates Configuring Advanced Scripting and CCE Data Exchange Design for Advanced Scripting CCE Data Exchange Cisco Unified Communications Manager Initiated Call Flows Understand Transfer Types and Cisco Unified Custom Voice Portal (CVP) Call Flow Models Describe Subsequent Transfers Using Gadgets to Customize the Finesse Desktop Obtain Finesse Custom Gadgets Deploy Finesse Custom Gadgets Implementing Mobile Agent Examine Mobile Agent Functionality Identify Mobile Agent Architecture and Components Implementing Post Call Survey Examine Post Call Survey Functionality Configure Post Call Survey Lab practice Review Discovery Navigate CCE Discovery Architecture and Components Import Bulk Data Create a VXML Application Using Call Studio Configure Precision Queues Create a CCE Routing Script Customize the Finesse Desktop Test Your Call Flow Configure Cisco Unifi

Duration 4 Days 24 CPD hours This course is intended for Account and project managers Contact Center Enterprise (CCE) administrators Deployment engineers Technical sales Overview After taking this course, you should be able to: Navigate CCE configuration and scripting tools Configure a dialed number, call type, and media routing domain Build a basic Cisco Intelligent Contact Management (ICM) script Configure agents and skill groups Configure basic Interactive Voice Response (IVR) functionality Implement attributes and precision queues Configure Ring-No-Answer (RONA) using CCE configuration tools Configure and populate an agent team and primary supervisor Improve agent efficiency through finesse enhancements Build and test a basic Voice XML (VXML) application Implement roles, departments, and business hours Run Cisco Unified Intelligence Center (CUIC) reports using the Reporting tool The Administering Cisco Contact Center Enterprise (CCEA) v1.0 course teaches you the contextual information around call flow between components in the Cisco© Unified Contact Center Enterprise (UCCE) solution including intelligent contact routing, call treatment, network-to-desktop Computer Telephony Integration (CTI), and multichannel contact management over an IP infrastructure. You receive hands-on practice using administrative tools to perform routine adds, moves, and changes in an inbound contact center environment. Cisco Unified Contact Center Review Contact Center Basics Components and Architecture Deploying Basic Call Settings Associate Basic Call Settings Explore Media Routing Domains Building a Basic Cisco Unified Contact Center Enterprise Script Introduce Script Editor Use Script Editor Nodes Configuring Basic Agent Functionality Introduce Agent Functionality Configure Agent Desk Settings Configuring Basic Call Treatment and Queuing Explore Media Server and Files Introduce Microapps Implementing Precision Routing Introduce Precision Routing Basics Examine the Migration Path Configuring RONA Support Introduce RONA Functionality Identify RONA Timeout Considerations Configuring Agent Teams and Supervisors Configuring Teams and Supervisors Explore Agent Roles Administering the Cisco Finesse Desktop Administering Cisco Finesse Desktop Introduce Cisco Finesse Administration Implementing Voice XML Applications Introduce VXML Build a Basic Call Studio Project Configuring Roles, Departments, and Business Hours Examine Post-Call Survey Functionality Configure Post-Call Survey Running Unified CC Enterprise Reports with Unified Intelligence Center (IC) Configure Unified CC Enterprise Administrators Configure Departments

Duration 1 Days 6 CPD hours This course is intended for This course is ideal for developers, engineers and others including: Cloud solution architects Cloud administrators Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview After taking this course, you should be able to: Describe what clouds are supported and how to configure clouds for Cost Optimizer Examine the Cost Optimizer snapshots of costs incurred by the various clouds installed for an organization This course, Mulitcloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) v1.0, teaches you how the reporting and analysis of consumption the cost optimizer provides, functions within a Cisco© CloudCenter Suite. The cost optimizer works together with two other primary mechanisms: a workload manager that helps users deploy applications and manage governance policies, and an action orchestrator that provides seamless integration and workflow automation. Through lessons and hands-on experiences, you will learn the functionality of the CloudCenter cost optimizer Implementing Cisco CloudCenter Suite Cost Optimizer Cisco CloudCenter Suite Cost Optimizer Examining Cost Optimizer Inventory, Reports, Rightsizing, and Troubleshooting Configure Cost and Inventory Reports in the User Interface Lab outline Create Users, User Roles, and Cloud Permissions Create Cost Group and Billing Unit Use Cisco CloudCenter Suite Cost Optimizer Representational State Transfer (REST) API Additional course details: Nexus Humans Cisco Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) v1.0 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 Cisco Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) v1.0 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 Days 24 CPD hours This course is intended for DevOps engineers Integration engineers Network and software architects Network engineers Software engineers System administrators Overview After completing this course, you should be able to: Describe network and IT convergence Describe Cisco NSO architecture Describe Linux Configure Cisco NSO Set up access control to Cisco NSO system Describe Cisco NSO Integration Options Explain version control systems and basic git concepts Describe the purpose of continuous integration and continuous delivery Implement Cisco NSO high availability Describe scalable system management Describe software development methodologies Describe service maintenance Perform NED upgrades Use Cisco NSO for managing services and their associated device configurations Describe Cisco NSO change management Explain service problem management Use Cisco NSO for service monitoring and compliance reporting Describe Cisco NSO inventory management Describe Cisco NSO use cases The Cisco Network Services Orchestrator (NSO) Administration and DevOps (NSO303) v4.0 course continues the learning journey of the NSO Essentials for Programmers and Network Architects (NSO201) v4.0 and NSO Advanced for Python Programmers (NSO300) v4.0 courses by introducing you to the system administration and DevOps focusing on NSO; the robust bridge linking network automation and orchestration tools, examining the development, operation, and administration task functions. You will learn how to set up, configure, deploy, and maintain a Cisco Network Services Orchestrator solution, and learn best practices for using DevOps. The examples shown in this course demonstrate real-world scenarios to prepare you for deployment and management of new or existing NSO instances. The course guides you through the setup of a production ready NSO instances using system installation with access control settings, the deployment of NSO in Docker containers, and introduces modern DevOps concepts and tools such as Git and Continuous Delivery/Continuous Deployment (CI/CD). You will learn how to migrate CDM devices, how to build NETCONF NEDs from the NSO CLI, how to handle NSO Alarms, and many more features that benefit you in your journey with Cisco NSO. Course Outline Introducing Network and IT Convergence Introducing Cisco NSO Architecture Introducing Linux Explaining Cisco NSO Setup Exploring Access Control Describing Integration Options Explaining Version Control System Describing Continuous Integration and Continuous Delivery Introducing Scalability and High Availability Describing Scalable System Management Describing Software Development Methodologies Introducing Service Maintenance Performing Network Element Driver (NED) Upgrades Introducing Configuration Management Describing Change Management Explaining Service Problem Management Explaining Service Monitoring and Compliance Reporting Introducing Inventory Management Describing Cisco NSO Use Cases

Duration 5 Days 30 CPD hours This course is intended for This course is intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods Course Summary Lab outline Execute Your First Python Program Use the Python Interactive Shell Explore Foundation Python Data Types Explore Complex Python Data Types Use Standard String Operations Use Basic Pattern Matching Reformat MAC Addresses Use the if-else Construct Use for Loops Use while Loops Create and Use Functions Create and Use Classes Use the Python main() Construct Traverse the File Structure Read Data in Comma-Separated Values (CSV) Format Read, Store, and Retrieve Data in XML Format Read, Store, and Retrieve Date in JavaScript Object Notation (JSON) Format Read, Store, and Retrieve Data in a Raw or Unstructured Format Import Modules from the Python Standard Library Import External Libraries Create a Python Module Prompt the User for Input Use Command-Line Arguments Manage Exceptions with the try-except Structure Manage Exceptions with the try-except-finally Structure Use Assertions Use Simple Debugging Methods Use the Python Debugger Code a Practical Debugging Script

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is as follows: Cloud solution architects Cloud administrators Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview After you complete this course the learner will be able to meet these overall objectives: Describe what clouds are supported and how to configure clouds for Cost Optimizer Examine the Cost Optimizer snapshots of costs incurred by the various clouds installed for an organization CLDCO, Mulitcloud Cost Optimization with Cisco CloudCenter Suite is a 1-day course that teaches you how the reporting and analysis of consumption the cost optimizer provides, functions within a Cisco© CloudCenter Suite. The cost optimizer works together with two other primary mechanisms: a workload manager that helps users deploy applications and manage governance policies, and an action orchestrator that provides seamless integration and workflow automation. Through lessons and hands-on experiences, you will learn the functionality of the CloudCenter cost optimizer.This course will help you:Acquire the advanced skills and techniques using the CloudCenter Suite for a consistent experience across all environments, whether you plan to deploy in the cloud or on-premisesLearn how to use the tools of cost management and workload optimization by leveraging the functionality of the entire CloudCenter suite Implementing Cisco CloudCenter Suite Cost Optimizer Cisco CloudCenter Suite Cost Optimizer Examining Cost Optimizer Inventory, Reports, Rightsizing, and Troubleshooting Configure Cost and Inventory Reports in the User Interface Additional course details: Nexus Humans Cisco Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) 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 Cisco Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) 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 Days 24 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 mobile network architecture basics List enabling technologies for 5G and describe 5G key use cases Perform basic operations on a Cisco 5G NSA mobile packet core Describe the Cisco 5G Converged SDN Transport Architecture Describe Cisco NFVI and perform basic operations using Cisco ESC and Cisco Virtualized Infrastructure Manager (VIM) Describe Cisco service provider automation and orchestration solutions to deploy and manage 5G network functions Describe the Cisco Ultra Cloud Core architecture and deploy the Cisco SMI Explain the 5G ready distributed Telco DC with Cisco ACI solution Describe the Cisco 5G security architecture The Cisco Service Provider 5G Technologies Foundations (SPMBL100) v1.0 course introduces mobile network components, basic 5G concepts, and features of 5G technology including faster data speeds, higher device capacity, and improved user experience. You will examine the mobile packet core solutions, 5G transport architecture, and Cisco© automation and orchestration tools used in 5G networks. You will also learn about the Cisco 5G Non-standalone (NSA) and the Cisco Ultra Cloud Core 5G standalone (SA) platform solutions, the Cisco 5G converged Software-Defined Networking (SDN) transport architecture, and Cisco edge computing solutions. You will study the Cisco Network Function Virtualization (NFVI) architecture, Cisco Network Services Orchestrator (NSO), and Cisco Elastic Services Controller (ESC). You will learn how 5G is distributed with Telco Data Center (DC) with Cisco Application Centric Infrastructure (Cisco ACI©). And finally, Zero-Touch Provisioning (ZTP), Cisco Crosswork?, and the Cisco 5G security architecture will also be presented. Mobile Network Fundamentals 5G Key Use Cases Examining Mobile Network Components Enabling Technologies for 5G Introduction to 5G NR Characteristics Cloud Radio Access network (RAN) Cisco 5G NSA Solution 5G NSA Basics 5G NSA StarOS Configurations Cisco 5G Converged SDN Transport Architecture Cisco 5G Transport Ready Devices Application Awareness and Network Slicing with Segment Routing Cisco NFV Infrastructure, Cisco Virtualized Network Functions (VNFs), Cisco VIM, and Cisco ESC NFVI and SDN Architecture Overview Cisco VIM Pod Configurations Cisco Service Provider Automation and Orchestration Telemetry Basics ZTP Fundamentals Cisco Ultra Cloud Core Cisco Ultra Cloud Core Basics Kubernetes and Docker Fundamentals 5G Ready Distributed DC with Cisco ACI Cisco ACI in Telco Data Centers 5GC Deployment Mitigating Threats in 5G Introduction to 5G Cybersecurity Risks Mitigating 5G Cybersecurity Risks

Duration 2 Days 12 CPD hours This course is intended for IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase. Anyone who wants to refresh their knowledge and statistical experience. Overview Introduction to statistical analysis Describing individual variables Testing hypotheses Testing hypotheses on individual variables Testing on the relationship between categorical variables Testing on the difference between two group means Testing on differences between more than two group means Testing on the relationship between scale variables Predicting a scale variable: Regression Introduction to Bayesian statistics Overview of multivariate procedures This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. Introduction to statistical analysis Identify the steps in the research process Identify measurement levels Describing individual variables Chart individual variables Summarize individual variables Identify the normal distributionIdentify standardized scores Testing hypotheses Principles of statistical testing One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables Identify population parameters and sample statistics Examine the distribution of the sample mean Test a hypothesis on the population mean Construct confidence intervals Tests on a single variable Testing on the relationship between categorical variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Identify differences between the groups Measure the strength of the association Testing on the difference between two group meansChart the relationship Describe the relationship Test the hypothesis of two equal group means Assumptions Testing on differences between more than two group means Chart the relationship Describe the relationship Test the hypothesis of all group means being equal Assumptions Identify differences between the group means Testing on the relationship between scale variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Treatment of missing values Predicting a scale variable: Regression Explain linear regression Identify unstandardized and standardized coefficients Assess the fit Examine residuals Include 0-1 independent variables Include categorical independent variables Introduction to Bayesian statistics Bayesian statistics and classical test theory The Bayesian approach Evaluate a null hypothesis Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures Overview of supervised models Overview of models to create natural groupings

Duration 5 Days 30 CPD hours This course is intended for System administrators System integrators Overview By the end of the course, you should be able to meet the following objectives: Introduce troubleshooting principles and procedures Practice Linux commands that aid in the troubleshooting process Use command-line interfaces, log files, and the vSphere Client to diagnose and resolve problems in the vSphere environment Explain the purpose of key vSphere log files Identify networking problems based on reported symptoms, validate and troubleshoot the reported problem, identify the root cause and implement the appropriate resolution Analyze storage failure scenarios using a logical troubleshooting methodology, identify the root cause, and apply the appropriate resolution to resolve the problem Troubleshoot vSphere cluster failure scenarios and analyze possible causes Diagnose common VMware vSphere High Availability problems and provide solutions Identify and validate VMware ESXi™ host and VMware vCenter Server problems, analyze failure scenarios, and select the correct resolution Troubleshoot virtual machine problems, including migration problems, snapshot problems, and connection problems Troubleshoot performance problems with vSphere components This five-day, hands-on training course provides you with the advanced knowledge, skills, and abilities to achieve competence in troubleshooting the VMware vSphere© 7.x environment. This workshop increases your skill and competence in using the command-line interface, VMware vSphere© Client?, log files, and other tools to analyze and solve problems Course Introduction Introductions and course logistics Course objectives Introduction to Troubleshooting Define the scope of troubleshooting Use a structured approach to solve configuration and operational problems Apply a troubleshooting methodology to logically diagnose faults and improve troubleshooting efficiency Troubleshooting Tools Use command-line tools (such as Linux commands, vSphere CLI, ESXCLI) to identify and troubleshoot vSphere problems Identify important vSphere log files and interpret the log file contents Troubleshooting Virtual Networking Analyze and resolve standard switch and distributed switch problems Analyze virtual machine connectivity problems and fix them Examine common management network connectivity problems and restore configurations Troubleshooting Storage Troubleshoot and resolve storage (iSCSI, NFS, and VMware vSphere© VMFS) connectivity and configuration problems Analyze and resolve common VM snapshot problems Identify multipathing-related problems, including common causes of permanent device loss (PDL) and all paths down (APD) events and resolve these problems Troubleshooting vSphere Clusters Identify and recover from problems related to vSphere HA Analyze and resolve VMware vSphere© vMotion© configuration and operational problems Analyze and resolve common VMware vSphere© Distributed Resource Scheduler? problems Troubleshooting Virtual Machines Identify possible causes and resolve virtual machine power-on problems Troubleshoot virtual machine connection state problems Resolve problems seen during VMware Tools? installations Troubleshooting vCenter Server and ESXi Analyze and fix problems with vCenter Server services Analyze and fix vCenter Server database problems Examine ESXi host and vCenter Server failure scenarios and resolve the problems

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