Duration 2 Days 12 CPD hours This course is intended for This course is designed for students wishing to gain intermediate-level skills or individuals whose job responsibilities include constructing relational databases and developing tables, queries, forms, and reports in Microsoft Access for Office 365. Overview In this course, you will optimize an Access database. You will: Provide input validation features to promote the entry of quality data into a database. Organize a database for efficiency and performance, and to maintain data integrity. Improve the usability of Access tables. Create advanced queries to join and summarize data. Use advanced formatting and controls to improve form presentation. Use advanced formatting and calculated fields to improve reports. In this course, you will expand your knowledge of relational database design; promote quality input from users; improve database efficiency and promote data integrity; and implement advanced features in tables, queries, forms, and reports. Extending your knowledge of Access will result in a robust, functional database for your users.This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Access Expert (Office 365 and Office 2019): Exam MO-500 certification. Improving Table Usability Topic A: Create Lookups Within a Table Topic B: Work with Subdatasheets Creating Advanced Queries Topic A: Create Query Joins Topic B: Create Subqueries Topic C: Summarize Data Improving Form Presentation Topic A: Apply Conditional Formatting Topic B: Create Tab Pages with Subforms and Other Controls Creating Advanced Reports Topic A: Apply Advanced Formatting to a Report Topic B: Add a Calculated Field to a Report Topic C: Control Pagination and Print Quality Topic D: Add a Chart to a Report Importing and Exporting Table Data Topic A: Import and Link Data Topic B: Export Data Topic C: Create a Mail Merge Using Queries to Manage Data Topic A: Create Action Queries Topic B: Create Unmatched and Duplicate Queries Creating Complex Reports and Forms Topic A: Create Subreports Topic B: Create a Navigation Form Topic C: Show Details in Subforms and Popup Forms Creating Access Macros Topic A: Create a Standalone Macro to Automate Repetitive Tasks Topic B: Create a Macro to Program a User Interface Component Topic C: Filter Records by Using a Condition Topic D: Create a Data Macro Using VBA to Extend Database Capabilities Topic A: Introduction to VBA Topic B: Using VBA with Form Controls Managing a Database Topic A: Back Up a Database Topic B: Manage Performance Issues Topic C: Document a Database Distributing and Securing a Database Topic A: Split a Database for Multiple-User Access Topic B: Implement Security Topic C: Convert an Access Database to an ACCDE File Topic D: Package a Database with a Digital Signature
Duration 3 Days 18 CPD hours This course is intended for This course is intended for the following technical professionals who need to use advanced features of fiber optics technology: System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Perform the ONS 15454 MSTP node turn-up procedure Describe first generation mesh topologies Describe the Optical Channel Network Connection (OCHNC) prerequisite requirements for provisioning circuits in an ONS 15454 MSTP network Describe the ONS MSTP advanced protocols Describe the OCHNC circuit provisioning for Single Module (SM) Reconfigurable Optical Add-Drop Multiplexer (ROADM) rings Describe the Any-Rate Muxponder Crossponder (AR MXP/XP) cards Describe how the Pseudo Command Line can be used to configure muxponder cards Identify the advantages G.709 encapsulation brings to optical transponder cards Install and provision the Any Rate cards Describe the 100-Gbps and 200-Gbps cards Describe the NCS 2000 400-Gbps Xponder line card and how it is configured Describe the SM ROADM (SMR)-based configurations Describe the 10-Gbps transponder and muxponder cards List the 10GE_XP and GE_XP card options Describe ingress policing and basic egress queuing strategies, and implement the customer QoS scheme into the ONS 15454 crossponder network Identify the principles of Ethernet related to the operation of Cisco optical networking products Configure the 10GE_XP/XPE and GE_XP/XPE cards, install Layer 1 circuits, and read the performance counters for Layer 1 Gigabit Ethernet circuits Turn up an encrypted network and test to ensure that information being passed is secure Add a node to an existing DWDM ring Describe problems with interconnecting circuits between rings, the ONS 15454 MSTP 80-channel manual Multiring feature, and hardware components Describe the ONS 15454 MSTP Troubleshooting Guide The Cisco Optical Technology Advanced (OPT300) v2.0 course gives you the skills you need to deploy advanced features of the Cisco© Optical Networking Services (ONS) 15454 Multiservice Transport Platform (MSTP) and Cisco Network Convergence System (NCS) 2000 Series. In this course you?ll learn to how to use the Cisco Transport Planner Design Tool to create network topologies and advanced network topologies. You will learn how to use advanced Dense Wavelength Division Multiplexing (DWDM) features such as G.709 encapsulation, generic framing protocol G.7041, Layer 1 circuits, Quality of Service (QoS), crossponder networks using T1 over Ethernet, and encryption. Course Outline Cisco Transport Planner Design Tool First-Generation Mesh Topologies Ochnc In A Mesh Network Advanced Protocols Any Rate Muxponder And Crossponders 100-Gbps And 200-Gbps Transponders And Muxponders Cisco Ncs 2000 400-Gbps Xponder Line Card Cisco 10G Web Security Essentials (Wse) Network Encryption Card Adding A New Location With Cisco Transport Planner (Ctp) And Cisco Transport Controller (Ctc) Crossponders And Layer 1 Networks Crossponders And Layer 2 Networks Troubleshooting
Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: IT Staff and Managers Network and systems personnel and engineers Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment. This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics. Overview Following completion of this course, students will understand, Install, Configure, monitor, and Troubleshoot the following: Navigate and Configure the dashboard Add MX/MR/MS/MV devices to the Dashboard Understand and Configure Configuration Templates Understand and Configure Group Policies Manage/Configure/Integrate Users and Radius Policies Configure, Monitor, and Troubleshoot MX Firewalls Troubleshoot devices and Connectivity This 3-day Cisco course provide students with the skills to configure, optimize, and troubleshoot a Cisco Meraki solution. Students will learn how to install and optimize Meraki MX Firewalls. Students will also learn how to configure the Meraki Dashboard Students will troubleshoot and configure the Meraki environment and learn how to diagnose and resolve user and Network issues that may arise. Introduction to Meraki The Meraki Mission Cisco Meraki: Bringing the Cloud to Enterprise Networks Cloud-Managed Networking Architecture Benefits of a Cloud-Based Solution The Meraki Full Stack: New and Unique Value Proposition Meraki Deployment ? How it works Why Customers Choose Meraki Meraki MS Switches Overview Meraki MX Security Appliances Overview Meraki SD-WAN Overview Meraki MR Wireless Access Points Overview Cisco Meraki Systems Manager Overview Cisco Meraki MV Vision Security Cameras Overview Meraki API Overview Meraki Licensing Enterprise Support Cisco Meraki Documentation Cloud Management with the Meraki Dashboard The Meraki Dashboard Dashboard: Organizational Structure Out-of-band Cloud Management Loss of Connectivity to the Cisco Meraki Cloud Meraki Dashboard Logins Create Dashboard Accounts and Organization MSP Logins - Manage Multiple Organizations Modify an Organization View Organizations Health Meraki Dashboard Best Practices Dashboard Search Meraki Help Organizational Wide Settings Configure Monitor Create and Manage Configuration Templates Network-Wide Settings Configure Meraki MX Security Benefits of a Cloud Managed Security Solution Threat Management Solution Advanced Security Licenses Reliable, Cost Effective Connectivity with Meraki SD-WAN Site-to-Site VPN (Auto VPN) High Availability and Path Redundancy Application-Aware Intelligent Path Control Traffic Monitoring and Analytics Integrating Active Directory Cisco Meraki MX Models and Features Configuring the Local Status Page Adding Appliance to Network Device Configuration Configuring the Warm Spare Feature Device Tags & Notes Configuring Addressing & VLANs DHCP Server Configuration and Options Meraki Firewall Configuration Meraki Site-to-Site VPN One Arm VPN Concentrator Configuration Meraki Client VPN Meraki Active Directory Integration Meraki Access Control Meraki Splash Page Configuration Configuring Access Policies Teleworker VPN/L3 Roaming
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 5 Days 30 CPD hours This course is intended for Built for IT Professionals working with Citrix ADC and Gateway, with little or no previous Citrix networking experience. Potential students include administrators, engineers, and architects interested in learning how to deploy or manage Citrix ADC or Citrix Gateway environments. Overview Identify the functionality and capabilities of Citrix ADC and Citrix Gateway Explain basic Citrix ADC and Gateway network architecture Identify the steps and components to secure Citrix ADC Configure Authentication, Authorization, and Auditing Integrate Citrix Gateway with Citrix Virtual Apps, Citrix Virtual Desktops and other Citrix components Expand your Citrix networking knowledge and skills by enrolling in this five-day course. It covers Citrix ADC essentials, including secure load balancing, high availability and operations management, and also focuses on Citrix Gateway. You will learn to deliver secure remote access to apps and desktops integrating Citrix Virtual Apps and Citrix Desktops with Citrix Gateway Getting Started Introduction to Citrix ADC Feature and Platform Overview Deployment Options Architectural Overview Setup and Management Basic Networking Networking Topology Citrix ADC Components Routing Access Control Lists ADC Platforms Citrix ADC MPX Citrix ADC VPX Citrix ADC CPX Citrix ADC SDX Citrix ADC BLX High Availability Citrix ADC High Availability High Availability Configuration Managing High Availability In Service Software Upgrade Troubleshooting High Availability Load balancing Load Balancing Overview Load Balancing Methods and Monitors Load Balancing Traffic Types Load Balancing Protection Priority Load Balancing Load Balancing Troubleshooting SSL Offloading SSL Overview SSL Configuration SSL Offload Troubleshooting SSL Offload SSL Vulnerabilities and Protections Security Authentication, Authorization, and Auditing Configuring External Authentication Admin Partitions Monitoring and Troubleshooting Citrix ADC Logging Monitoring with SNMP Reporting and Diagnostics AppFlow Functions Citrix Application Delivery Management Troubleshooting Citrix Gateway Introduction to Citrix Gateway Advantages and Utilities of Citrix Gateway Citrix Gateway Configuration Common Deployments AppExpert Expressions Introduction to AppExpert Policies Default Policies Explore Citrix ADC Gateway Policies Policy Bind Points Using AppExpert with Citrix Gateway Authentication, Authorization, and Secure Web Gateway Authentication and Authorization Multi-Factor Authentication nFactor Visualizer SAML authentication Managing Client Connections Introduction to Client Connections Session Policies and Profiles Pre and Post Authentication Policies Citrix Gateway Deployment Options Managing User Sessions Integration for Citrix Virtual Apps and Desktops Virtual Apps and Desktop Integration Citrix Gateway Integration Citrix Gateway WebFront ICA Proxy Clientless Access and Workspace App Access Fallback SmartControl and SmartAccess for ICA Configuring Citrix Gateway Working with Apps on Citrix Gateway RDP Proxy Portal Themes and EULA
Duration 4 Days 24 CPD hours This course is intended for This course is for people who have on the job experience doing project management activities and running projects, regardless of their job title. It is for those who wish to become certified project managers, or those that want to build or reinforce a foundation in project management. This course is ideal for a person who wants to grow and formalize their project management skills on an industry neutral, global standard, the Project Management Institute. Overview After completing this course, students will be able to: Demonstrate an understanding of the various project life cycles and processes. Distinguish between predictive and adaptive approaches. Demonstrate an understanding of project management planning. Demonstrate an understanding of project roles and responsibilities. Explain the importance of the role the project manager plays. Determine how to follow and execute and respond to planned strategies or frameworks (e.g., communication, risks, etc.). Demonstrate an understanding of common problem-solving tools and techniques. Identify the suitability of a predictive, plan-based approach for the organizational structure (e.g., virtual, colocation, matrix structure, hierarchical, etc.). Determine and give examples of the activities within each process. Demonstrate an understanding of a project management plan schedule. Determine how to document project controls of predictive, plan-based projects. Explain when it is appropriate and sustainable to use an adaptive approach for the organizational structure. Compare the pros and cons of adaptive and predictive, plan-based projects. Identify the suitability of adaptive approaches for the organizational structure (e.g., virtual, colocation, matrix structure, hierarchical, etc.). Identify organizational process assets and environmental factors that facilitate the use of adaptive approaches. Determine how to plan project iterations. Determine how to document project controls for an adaptive project. Distinguish between the components of different adaptive methodologies (e.g., Scrum, Extreme Programming (XP), Scaled Adaptive Framework (SAFe), Kanban, etc.). Determine how to prepare and execute task management steps. Demonstrate an understanding of business analysis (BA) roles and responsibilities. Demonstrate the importance of communication for a business analyst between various teams and stakeholders. Determine how to gather requirements and using the best approach for a situation. Explain the application of a product roadmap. Determine how project methodologies influence business analysis processes. Validate requirements through product delivery. Every career in project management has a beginning and that is the purpose of this course. You will learn the fundamentals of project management. This includes project performance, when to use the predictive or adaptive methodologies, business analysis domains, and frameworks, as well as the proper use of one of the various adaptive frameworks. Every career in project management has a beginning and that is the purpose of this course. You will learn the fundamentals of project management. This includes project performance, when to use the predictive or adaptive methodologies, business analysis domains, and frameworks, as well as the proper use of one of the various adaptive frameworks.
Duration 5 Days 30 CPD hours This course is intended for Entry- to mid-level network engineers Network administrators Network support technicians Help desk technicians Overview After taking this training, you should be able to: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers Compare and contrast the various hardware and software switching mechanisms and operation while defining the Ternary Content Addressable Memory (TCAM) and Content Addressable Memory (CAM) along with process switching, fast switching, and Cisco Express Forwarding concepts Troubleshoot Layer 2 connectivity using VLANs and trunking Implement redundant switched networks using Spanning Tree Protocol Troubleshoot link aggregation using Etherchannel Describe the features, metrics, and path selection concepts of Enhanced Interior Gateway Routing Protocol (EIGRP) Implement and optimize Open Shortest Path First (OSPF)v2 and OSPFv3, including adjacencies, packet types and areas, summarization, and route filtering for IPv4 and IPv6 Implement External Border Gateway Protocol (EBGP) interdomain routing, path selection, and single and dual-homed networking Implement network redundancy using protocols such as Hot Standby Routing Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP) Implement internet connectivity within Enterprise using static and dynamic Network Address Translation (NAT) Describe the virtualization technology of servers, switches, and the various network devices and components Implement overlay technologies such as Virtual Routing and Forwarding (VRF), Generic Routing Encapsulation (GRE), VPN, and Location Identifier Separation Protocol (LISP) Describe the components and concepts of wireless networking, including Radio Frequency (RF) and antenna characteristics, and define the specific wireless standards Describe the various wireless deployment models available, including autonomous Access Point (AP) deployments and cloud-based designs within the centralized Cisco Wireless LAN Controller (WLC) architecture Describe wireless roaming and location services The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.3 training gives you the knowledge and skills needed to install, configure, operate, and troubleshoot an enterprise network and introduces you to overlay network design by using SD-Access and SD-WAN solutions. You?ll also learn to understand and implement security principles and automation and programmability within an enterprise network. Course Outline Examining Cisco Enterprise Network Architecture Exploring Cisco Switching Paths Implementing Campus LAN Connectivity Building Redundant Switched Topology Implementing Layer 2 Port Aggregation Understanding EIGRP Implementing OSPF Optimizing OSPF Exploring EBGP Implementing Network Redundancy Implementing NAT Introducing Virtualization Protocols and Techniques Understanding Virtual Private Networks and Interfaces Understanding Wireless Principles Examining Wireless Deployment Options Understanding Wireless Roaming and Location Services Examining Wireless AP Operation Implementing Wireless Client Authentication Troubleshooting Wireless Client Connectivity Implementing Network Services Using Network Analysis Tools Implementing Infrastructure Security Implementing Secure Access Control Discovering the Basics of Python Programming Discovering Network Programmability Protocols Implementing Layer 2 Port Aggregation Discovering Multicast Protocols Understanding QoS Exploring Enterprise Network Security Architecture Exploring Automation and Assurance Using Cisco DNA Center Examining the Cisco SD-Access Solution Understanding the Working Principles of the Cisco SD-WAN Solution
Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines
Duration 5 Days 30 CPD hours This course is intended for The course provides an intensive hands-on experience for key system administration tasks with the goal of making the system administrator job-ready. Overview Administer the Oracle Solaris 11 Host on an Existing Network Administer Oracle Solaris Zones Control Access to Systems and Files Install Oracle Solaris 11 Operating System Administer User Accounts Administer System Processes and Schedule System Tasks Manage Data by Using ZFS Manage Boot and Shutdown of a System Administer Services by Using SMF Administer Software Packages by Using IPS and Manage Boot Environments Describe the use of IPS in packaging the Oracle Solaris OS Manage boot environments Updating the OS by using IPS The Oracle Solaris 11 System Administration training covers the full range of introductory system administration tasks on Oracle Solaris 11.3 OS. The topics covered range from installing the operating system on a single system, to monitoring and basic troubleshooting. The Oracle Solaris 11 System Administration course is designed to provide new system administrators, as well as enterprise system administrators who are new to the Oracle Solaris 11 Operating System, with the skills they need to perform their job tasks successfully and efficiently. Installing Oracle Solaris 11 Operating System Introduction to Oracle Solaris 11 OS Planning for Oracle Solaris 11 OS installation Installing Oracle Solaris 11 OS by Using the Live Media Installer Installing Oracle Solaris 11 OS Using the Text Installer Verifying the OS Installation Managing Boot and Shutdown of Systems Analyze the boot design and boot process Boot a SPARC-based system Boot an x86-based system Shut down a system Administering Services by Using SMF Describing SMF and its components Administering SMF Services Administering Software Packages by Using IPS and Managing Boot Environments Describing IPS, its components, and interfaces Configuring an IPS Client to Access the Local IPS Repository Managing Package Publishers Managing Software Packages Managing Signed Packages and Package Properties Describe the use of IPS in packaging the Oracle Solaris OS Manage boot environments Updating the OS by using IPS Managing Data by Using ZFS Introducing ZFS Administering ZFS Storage Pools Administering ZFS File Systems Administering ZFS Properties Administering ZFS Snapshots and Clones Administering the Network Reviewing Networking Fundamentals Administering Datalink Configuration Administering a Network Interface Administering Profile-Based Network Configuration Configuring a Virtual Network Verifying the Network Operations Managing Resources on the Virtual Network Administering Oracle Solaris Zones Introducing Oracle Solaris Zones Configuring an Oracle Solaris Zone Determining an Oracle Solaris Zone Configuration Controlling Access to Systems and Files Controlling Access to Systems Controlling Access to Files Securing Access to Remote Host Administering User Accounts Getting Started with the User Administration Setting Up User Accounts Maintaining User Accounts Configuring User Disk Quotas Managing System Processes and System Tasks Managing System Processes Scheduling System Administration Tasks
Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server and Windows Client administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of Windows PowerShell, or any scripting language, is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Exchange Server, SharePoint Server, SQL Server, System Center, and others. Overview After completing this course, students will be able to: Describe the functionality of Windows PowerShell and use it to run and find basic commands. Identify and run cmdlets for server administration. Work with Windows PowerShell pipeline. Describe the techniques Windows PowerShell pipeline uses. Use PSProviders and PSDrives to work with other forms of storage. Query system information by using WMI and CIM. Work with variables, arrays, and hash tables. Write basic scripts in Windows PowerShell. Write advanced scripts in Windows PowerShell. Administer remote computers. Use background jobs and scheduled jobs. Use advanced Windows PowerShell techniques. This course provides students with the fundamental knowledge and skills to use Windows PowerShell for administering and automating administration of Windows based servers. Getting Started with Windows PowerShell Overview and Background Understanding command syntax Finding commands Lab : Configuring Windows PowerShell Lab : Finding and Running Basic Commands Cmdlets for administration Active Directory administration cmdlets Network configuration cmdlets Other server administration cmdlets Lab : Windows Administration Working with the Windows PowerShell pipeline Understanding the Pipeline Selecting, Sorting, and Measuring Objects Filtering Objects Out of the Pipeline Enumerating Objects in the Pipeline Sending pipeline data as output Lab : Using the Pipeline Lab : Filtering Objects Lab : Enumerating Objects Lab : Sending output to a file Understanding How the Pipeline Works Passing the pipeline data Advanced considerations for pipeline data Lab : Working with Pipeline Parameter Binding Using PSProviders and PSDrives Using PSProviders Using PSDrives Lab : Using PSProviders and PSDrives Querying Management Information by Using WMI and CIM Understanding WMI and CIM Querying Data with WMI and CIM Making changes with WMI/CIM Lab : Working with WMI and CIM Working with variables, arrays, and hash tables Using variables Manipulating variables Manipulating arrays and hash tables Lab : Working with variables Basic scripting Introduction to scripting Scripting constructs Importing data from files Lab : Basic scripting Advanced scripting Accepting user input Overview of script documentation Troubleshooting and error handling Functions and modules Lab : Accepting data from users Lab : Implementing functions and modules Administering Remote Computers Using basic Windows PowerShell remoting Using advanced Windows PowerShell remoting techniques Using PSSessions Lab : Using basic remoting Lab : Using PSSessions Using Background Jobs and Scheduled Jobs Using Background Jobs Using Scheduled Jobs Lab : Using Background Jobs and Scheduled Jobs Using advanced Windows PowerShell techniques Creating profile scripts Using advanced techniques Lab : Practicing advanced techniques Lab : Practicing script development (optional)