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Duration 4 Days 24 CPD hours This course is intended for This intermediate course is designed for technical support personnel who implement, operate, and perform day-to-day administration of IBM MQ V8 on z/OS. Overview Describe message-oriented middleware and the capabilities it must provideIdentify the key components of IBM MQ for z/OSSummarize the responsibilities of the IBM MQ administratorConfigure IBM MQ IBM V8 for z/OSEnable IBM MQ for z/OS eight-byte RBA and buffers above 2 GBDemonstrate how to create and change queues and place and retrieve messages from a queueDefine and demonstrate how to set up and work with distributed queuingDifferentiate between an IBM MQ queue manager and an IBM MQ clientDescribe and demonstrate how to set up an IBM MQ clusterContrast point-to-point and publish/subscribe messaging stylesDescribe shared queues and queue sharing groupsSummarize IBM MQ for z/OS recovery and restart activitiesDemonstrate how to use IBM MQ events for monitoringSummarize performance considerationsDescribe security considerations for IBM MQ for z/OSDescribe and implement connection authentication and channel authorizationIdentify correct problem determination techniques for IBM MQ for z/OSSummarize basic use and configuration of IBM MQ Managed File TransferDescribe IBM MQ support for CICS and IMS interfaces This course provides the skills that are necessary to configure and manage an IBM MQ V8 queue manager on z/OS. Through lectures and hands-on lab exercises, students learn how to install, customize, operate, and administer IBM MQ V8. Course Outline Course introduction IBM MQ review IBM MQ architecture, installation, and configuration Exercise: Configuring an IBM MQ for z/OS queue manager IBM MQ for z/OS administrative interface options Exercise: Working with queues Distributed queuing Exercise: Working with channels IBM MQ clients Exercise: Working with IBM MQ clients IBM MQ cluster basics Exercise: Working with IBM MQ clusters Publish/subscribe basics Exercise: Publish/subscribe basics Queue sharing groups Using IBM MQ events and the dead-letter queue utility Exercise: Working with IBM MQ events Security considerations Exercise: Security Problem determination IBM MQ Managed File Transfer Exercise: IBM MQ Managed File Transfer configuration for z/OS IBM MQ for z/OS backup, recovery, and related file tasks Exercise: Working with file handling utilities Support for CICS, IMS, and HTTP applications Course summary

Duration 4 Days 24 CPD hours This course is intended for This course is designed for those who have little or no experience with Linux and whoare seeking a fundamental understanding of the SUSE Linux Enterprise 15 operatingsystem. It is also ideal for those who want to begin preparing for the SUSE CertifiedAdministrator in Enterprise Linux 15 certification exam. Overview Attendees will be taught the following concepts and skills that are fundamental inadministering the SLES Operating System:Install SLES 15 and perform basic Linux configurationBecome familiar with the command line interface & commonly usedcommandsConfigure and use Remote AdministrationManage the boot process and understand systemsManage processes and jobsManage users and permissionsManage softwareConfigure basic networkingManage storageMonitor SUSE Linux Enterprise This course is designed for those who are seeking a fundamental understanding of the SUSE Linux Enterprise Server (SLES) operating system.Students will be able to install and configure a SLES 15 server and integrate it into an existing network. They will be able to perform the most important system administration tasks. Overview of SUSE Linux Enterprise Flavors of SUSE Linux SLE Maintenance Model YaST The Linux Filesystem Understand the Filesystem Hierarchy Standard (FHS) Understand the Linux File Types Work with the Command Line Getting Help at the Command Line Understand the Shell Environment The Vim EditorRemote Administration Understand Remote Administration with OpenSSH Understand Remote Administration with VNC System Initialization Understand the Boot Process Understand the GRUB2 Boot Loader Define and Describe systems Process Management Understand Process Administration Understand Background Processes Understand Process Scheduling Understand xinet Identify and Security Understand User Management Understand Filesystem Permissions Understand Privilege Delegation Software Management Understand Compiling Software from Source Understand Management of RPM Packages Understand Software Management with Libzypp Network Management Understand Network Management in SLE Understand Network Management with Wicked Understand firewall Storage Management Understand the Linux I/O Stack Recognize Traditional Linux File Systems Configure Logical Volume Management (LVM) Configure Software RAID Define and Describe BtrFS Understand NFSv4 Administration and Monitoring Understand Time Sync with chrony Configure System Logging Understand Supportconfig Installing SUSE Linux Enterprise Understand the Unified Installer Understand Extensions and Modules Understand AutoYaST

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 1 Days 6 CPD hours This course is intended for This course is intended for persons in a variety of job roles such as publishing specialists, layout specialists, graphic designers, or any other knowledge workers who need to use Microsoft Office Publisher to create, lay out, edit, and share publications. Overview In this course, you will create, format, edit, and share publications. You will: Perform basic tasks in the Microsoft Publisher interface. Add content to a publication. Format text and paragraphs in a publication. Manage text in a publication. Work with graphics in a publication. Prepare a publication for printing and sharing. Microsoft© Publisher for Office 365? is a desktop publishing softwareapplication capable of producing greeting cards, certificates, newsletters, and otherprinted publications. Publisher includes a large collection of templates that provideagreat way to start a new publication. Publisher offers a large selection of 'buildingblocks' that can be dragged into your documents, helping you to create page elementssuch as calendars, newsletter sidebars, and borders. Publisher integrates online sharingand mail merge features, which are handy when you need to send publications to a listofcustomers, and it's possible to export publications as HTML web pages or PDF documents.With a user-friendly interface, Publisher makes it easy to create and editpublications. This course presents information and skills that are appropriate for users of theOffice2019/2021 or Office 365 desktop applications. However, the instructional environmentforthe delivery of this course utilizes Office 365. Getting Started with Microsoft Publisher Topic A: Navigate the Interface Topic B: Customize the Publisher Interface Topic C: Create a Publication Adding Content to a Publication Topic A: Add Text to a Publication Topic B: Add Pages and Picture Placeholders to a Publication Topic C: Control the Display of Content in Text Boxes Topic D: Apply Building Blocks to a Publication Formatting Text and Paragraphs in a Publication Topic A: Format Text Topic B: Format Paragraphs Topic C: Apply Schemes Managing Text in a Publication Topic A: Edit Text in a Publication Topic B: Work with Tables Topic C: Insert Symbols and Special Characters Working with Graphics in a Publication Topic A: Insert Graphics in a Publication Topic B: Customize the Appearance of Pictures Preparing a Publication for Sharing and Printing Topic A: Check the Design of a Publication Topic B: Save a Publication in Different Formats Topic C: Print a Publication Topic D: Share a Publication

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for developers and administrators who intend to use HBase. Overview Skills learned on the course include:The use cases and usage occasions for HBase, Hadoop, and RDBMSUsing the HBase shell to directly manipulate HBase tablesDesigning optimal HBase schemas for efficient data storage and recoveryHow to connect to HBase using the Java API, configure the HBase cluster, and administer an HBase clusterBest practices for identifying and resolving performance bottlenecks Cloudera University?s four-day training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. Introduction to Hadoop & HBase What Is Big Data? Introducing Hadoop Hadoop Components What Is HBase? Why Use HBase? Strengths of HBase HBase in Production Weaknesses of HBase HBase Tables HBase Concepts HBase Table Fundamentals Thinking About Table Design The HBase Shell Creating Tables with the HBase Shell Working with Tables Working with Table Data HBase Architecture Fundamentals HBase Regions HBase Cluster Architecture HBase and HDFS Data Locality HBase Schema Design General Design Considerations Application-Centric Design Designing HBase Row Keys Other HBase Table Features Basic Data Access with the HBase API Options to Access HBase Data Creating and Deleting HBase Tables Retrieving Data with Get Retrieving Data with Scan Inserting and Updating Data Deleting Data More Advanced HBase API Features Filtering Scans Best Practices HBase Coprocessors HBase on the Cluster How HBase Uses HDFS Compactions and Splits HBase Reads & Writes How HBase Writes Data How HBase Reads Data Block Caches for Reading HBase Performance Tuning Column Family Considerations Schema Design Considerations Configuring for Caching Dealing with Time Series and Sequential Data Pre-Splitting Regions HBase Administration and Cluster Management HBase Daemons ZooKeeper Considerations HBase High Availability Using the HBase Balancer Fixing Tables with hbck HBase Security HBase Replication & Backup HBase Replication HBase Backup MapReduce and HBase Clusters Using Hive & Impala with HBase Using Hive and Impala with HBase Appendix A: Accessing Data with Python and Thrift Thrift Usage Working with Tables Getting and Putting Data Scanning Data Deleting Data Counters Filters Appendix B: OpenTSDB

Duration 1 Days 6 CPD hours Overview Understand problems and the creative problem solving processIdentify types of information to gather and key questions to ask in problem solving Identify the importance of defining a problem correctlyIdentify and use four different problem definition toolsWrite concrete problem statementsUse basic brainstorming tools to generate ideas for solutionsEvaluate potential solutions against criteria, including cost/benefit analysis and group votingPerform a final analysis to select a solutionUnderstand the roles that fact and intuition play in selecting a solutionUnderstand the need to refine the shortlist and redefine itUnderstand how to identify the tasks and resources necessary to implement solutionsEvaluate and adapt solutions to reality This workshop will give students an overview of the creative problem solving process, as well as key problem solving tools that they can use every day. Skills such as brainstorming, information gathering, & analyzing data will be covered during class. Getting Started Workshop Objectives The Problem Solving Method What is a Problem? What is Creative Problem Solving? What are the Steps in the Creative Solving Process? Case Study Module Two: Review Questions Information Gathering Understanding Types of Information Identifying Key Questions Methods of Gathering Information Case Study Module Three: Review Questions Problem Definition Defining the Problem Determining Where the Problem Originated Defining the Present State and the Desired State Stating and Restating the Problem Analyzing the Problem Writing the Problem Statement Case Study Module Four: Review Questions Preparing for Brainstorming Identifying Mental Blocks Removing Mental Blocks Stimulating Creativity Case Study Module Five: Review Questions Generating Solutions (I) Identifying Mental Blocks Removing Mental Blocks Stimulating Creativity Case Study Module Five: Review Questions Generating Solutions (II) The Morphological Matrix The Six Thinking Hats The Blink Method Case Study Module Seven: Review Questions Analyzing Solutions Developing Criteria Analyzing Wants and Needs Using Cost/Benefit Analysis Case Study Module Eight: Review Questions Selecting a Solution Doing a Final Analysis Paired Comparison Analysis Analyzing Potential Problems Case Study Module Nine: Review Questions Planning Your Next Steps Identifying Tasks Identifying Resources Implementing, Evaluating, and Adapting Case Study Module Ten: Review Questions Creating a Performance Plan Planning the Follow-Up Meeting Celebrating Successes Identifying Improvements Case Study Module Eleven: Review Questions Wrapping Up Words from the Wise Lessons Learned

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

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

Duration 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