45428 Ski courses

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

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

Duration 2 Days 12 CPD hours This course is intended for This course is designed primarily for customer engineers and systems engineers in the following job roles: Automation architect Automation engineer Consulting systems engineer DevOps engineer Network administrator Network architect Network consulting engineer Network design engineer Network engineer Network operator Network reliability engineer Sales engineer Site reliability engineer Systems engineer Technical solutions architect Overview After taking this course, you should be able to: Articulate the role network automation and programmability play in the context of end-to-end network management and operations Define and differentiate between waterfall and agile software development methodologies Interpret and troubleshoot Python scripts with fundamental programming constructs built for network automation use cases Describe how DevOps principles, tools, and pipelines can be applied to network operations Understand the role of network automation development environments and associated technologies such as Python virtual environments, Vagrant, and Docker Understand and construct HTTP-based API calls to network devices Articulate the differences among and common use cases for XML, JSON, YAML, and protobuf Construct and interpret Python scripts using the Python requests module to automate devices that have HTTP-based APIs Understand the role YANG plays in network automation Understand that a number of tools exist to simplify working with YANG models Describe the functionality of RESTCONF and NETCONF and the differences between them Construct Ansible playbooks to configure network devices and retrieve operational state data from them Build Jinja2 templates and YAML data structures to generate desired state configurations The Introducing Automation for Cisco Solutions (CSAU) v1.1 course gives you a broad overview of network automation skills. Through a combination of lecture and hands-on labs, you will learn the fundamentals of automation such as working on model-driven programmability solutions with Representational State Transfer Configuration Protocol (RESTCONF) and Network Configuration Protocol (NETCONF) protocols. The course also covers data formats and types, including Extensible Markup Language (XML), JavaScript Object Notation (JSON), Yaml Ain?t Markup Language (YAML), and Yet Another Next Generation (YANG), and their value in network automation, along with DevOps tools such as Ansible and Git. Course Outline Examining Network Management and Operations Exploring Software Development Methodologies Using Python for Network Automation Describing NetDevOps: DevOps for Networking Managing Automation Development Environments Introducing HTTP Network APIs Reviewing Data Formats and Data Encoding Using Python Requests to Automate HTTP-Based APIs Exploring YANG Using YANG Tools Automating Model-Driven APIs with Python Introducing Ansible for Network Automation Templating Configurations with Jinja2