361 Security courses in Yaxley

GPON and FTTx networks training course description Designed to benefit those requiring an in depth knowledge of the principles and applications of Ten Gigabit and Gigabit Passive Optical Networking and Fibre to the X in NG Networks applications and their associated equipment, its flexibility and function within a modern transmission network. Using an effective mix of 'hands on' equipment instruction and correlation to theory based learning the delegate will gain a complete understanding of the equipment and the tasks to be undertaken in a real life situation. What will you learn Compare PON/FTTx systems. Explain network elements and designs. Support applications and network interfaces. List circuit provisioning and bandwidth requirements. Understand upstream & downstream issues. Describe headend & network elements/OLT-ONT. Perform network testing with OTDR test sets. GPON and FTTx networks training course details Who will benefit: Anyone working with GPON and FTTx. Prerequisites: Introduction to data communications and networking. Duration 5 days GPON and FTTx training course contents FTTN, FTTC, FTTH SMF, MMF, Fibre safety and properties (dispersion/attenuation), Fibre reel cables and types, Fibre installation and air blown fibre, Transmitters and receivers - power budget/laser classes. Fibre to the home (FTTH), FTTC (Fibre to the Cabinet), FTTN (Fibre to the node) , FTTD (Fibre to the desk), FFTH topologies and wavelengths, Active or passive optical network. WDM equipment and GPON OSP design Wavelength considerations, WDM/DWDM/CWDM, EDFA optical amplification, AWG (Arrayed Waveguide Grating) splitters , Couplers (splitters) and losses, Optical splitters 1x2, 1x4, 1x8, 1x16, 1x32, 1x64, 2x64. PON variants Gigabit passive optical network (GPON), Gigabit Ethernet passive optical network (GEPON), Time division PON (TDM-PON), Wave Division Multiplexing PON (WDM-PON), 1Gbps, 10Gbps, 40Ggps, 100Gbps FSAN (Full Service Access Network) NGA (Next Generation Access), Strategies for TDM-PON to WDM-PON migration, Architecture of NG-PON (hybrid WDM/TDM PON), Additional services than triple play. GEPON design GPON OSP centralized and distributed design, GPON PON splitters x4 x8 x32, Fibre splice trays /cassette trays & enclosures, GPON field testing and installation verification, GPON physical layer testing, Optical time domain reflectometer (OTDR), Optical power source & meter, Optical return loss (ORL), APON/BPON/GPON/EPON comparisons. GPON ITU-T G.984.1 Reference model, terminology & architecture, Access network system management functions. ONT & OLT functional block examples. FTTx scenarios, 4 switching arrangements for external access network backup. GPON ITU-T G.984.2 Physical layer, Enhancement band, Bit rate and wavelengths, FEC and RAMAN. GPON ITU-T G.984.3 Frame structure, GPON encapsulation method (GEM), GTC adaptation and framing sublayer protocol stack, Status reporting & traffic monitoring DBA (SR-DBA & TM-DBA), Transmission container (T-CONT) types, Downstream & upstream multiplexing, GEM port identifier, Media access control and ONU registration, Extended bandwidth assignment model scheduling architecture, PLOAM & alarm messages, Downstream & Upstream FEC, Process order in a GTC transmit flow. GPON ITU-T G.984.4 and G.988 ONT management and control interface (OMCI) Management interface, Reference model, Typical ONT with SCTE 55-1 or SCTE 55-2 compliancy. GPON ITU-T G.984.5 enhancement band Band options, GPON NGA, Wavelength allocation. GPON ITU-T G.984.6 optical reach extension (G.984.re) Reach extension (RE), OA-based and OEO-based reach extenders, Protection, Reach extender with OTDR blocking filters (BF) and bypass (BYP) filters. GPON ITU-T G.984.7 long reach Quiet Window. 10-GPON ITU-T G.987.1 (XG-PON) Scenarios, reference access network architecture, XG-PON with G-PON through WDM1r, G-PON and XG-PON wavelength allocation, G-PON and XG-PON co-existence with video overlay option, RE migration scenarios. G.989 40Gbps XG-PON2 Functional reference architecture, NG-PON2 system coexistence with legacy systems, Definitions of legacy compatibility terminology. GPON issues and standards GPON components GPON OLT / GPON ONT, GPON management, Operational support systems (OSS), Network management systems (NMS), OMCI (ONT Management control interface), RG (Residential gateway), Data and prioritised voice channel product, GPON broadband-forum standards, Broadband-forum , TR-069 and TR-156, HPNA (home phone network alliance), Powerline carrier (PLC), GPON DLNI G.hn or G.9960, MOCA, FTTH council certification standard for network certification. Fibre-connected home badge, Ethernet in the first mile (EFM), GPON frame synchronization to network timing, Direct clock synchronization interface (BITS), Multiservice access platform (MSAP), Software planning tool, Superconnected cities / voucher scheme. Hands on practical assignments Single and multimode fibre recognition, Fibre Cleaning methods, Checking cleaning with an optical microscope, Optical light source and optical power meter referencing, PON splitter and fibre drum testing with an optical power meter, 6km classroom passive optical network testing with an OTDR at 1310/1550nm, Using decibels (dB's) and decibel milliwats (dBm's), Designing networks up to 20km long using vendor specifications (power budget), Fault finding with a visible fault locator.

Network DevOps course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network DevOps course details Who will benefit: Administrators automating tasks. Prerequisites: TCP/IP Foundation Duration 5 days Network DevOps course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal. Hands on Python programming with pyping. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install. Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Linux virtualization and HA training course description The LPIC-3 certification is the culmination of LPI's multi -level professional certification program. LPIC-3 is designed for the enterprise-level Linux professional and represents the highest level of professional, distribution neutral Linux certification within the industry. LPIC-3 304 covers administering Linux enterprise-wide with an emphasis on virtualization and high availability. At SNT we have enhanced the contents of the course by covering containers. What will you learn Manage Virtual Machines. Manage containers. Manage HA clusters. Manage HA cluster storage. Linux virtualization and HA training course details Who will benefit: Linux professionals working with virtualization and/or High availability. Prerequisites: Linux network administration 2 (LPIC-2) Duration 5 days Linux virtualization and HA training course contents VIRTUALIZATION Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. Containers Containers versus VMs, Docker, Kubernetes. Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). HIGH AVAILABILITY CLUSTER STORAGE DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

Network automation course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network automation course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 5 days Network automation course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Python training course description This Python course focusses on teaching Python for use in network automation and network DevOps. We focus on getting delegates up and running with Python and network automation as quickly as possible rather than making them great programmers. In other words we concentrate on enabling delegates to use network automation libraries such as netmiko, NAPALM and Nornir, and APIs such as NETCONF and RESTCONF rather than enabling delegates to produce object oriented programs. Hands on sessions use Cisco and Juniper devices. What will you learn Run Python programs. Read Python programs. Write Python programs. Debug Python programs. Automate network tasks with Python programs. Configure network devices with Python. Collect data from network devices with Python. Python training course details Who will benefit: Network engineers. Prerequisites: TCP/IP Foundation Duration 5 days Python training course contents What is Python? Programming languages, Why Python? Python in interactive mode, Python scripts, ipython, Python version 2 versus version 3. A simple Python script. Comments. Hands on Installing Python, Hello world. A network example On box vs off box Python. telnet, ssh, NETCONF, HTTP, APIs, manufacturers and API support, analysis of a simple telnetlib program. Hands on Using Python to retrieve the configuration from a network device. Using wireshark to analyse the actions. Python basics I/O, operators, variables and assignment, types, indentation, loops and conditionals. Hands on Modifying the telnet program, changing configurations on a network devices. Functions, classes and methods What are functions, calling functions, builtin functions, useful builtin functions, file handling, classes, objects, creating instances. Hands on Storing configurations in files, configuring devices from files, using an inventory file to work on multiple devices. Libraries and modules Modules, files and packages, import, from-import, Python standard library, other packages, pip install, executing other programs. Managing python libraries. Hands on Using pip, installing and using ipaddress, subprocess to access netsnmp. For the more advanced, using the sockets library. Paramiko and netmiko SSH, enabling SSH on devices, keys. Paramiko versus netmiko, example scripts. pexpect. Hands on Configuring VLANs from Python. pySNMP Gathering facts using previous methods, SNMP review, pySNMP GET, pySNMP and SNMPv3. easySNMP library. Hands on Walking a MIB from Python. NETCONF What is NETCONF? Enabling NETCONF on devices, A first ncclient script, device handlers, get_config, edit_config, copy_config, delete_config, commit, validate, pyEZ, utils_config, utils.sw. Hands on Configuration using ncclient and PyEZ. This session is expanded for those interesting in JunOS automation. Manipulating configuration files Builtin functions, string handling. Unicode. Sequences, strings, lists, tuples. Dictionaries. TextFSM. Regular expressions. JSON, YAML, XML, YANG, Jinja2, templates. Hands on Jinja2 templating with Python to configure network devices. NAPALM Getters, configuration operations, supported devices, NAPALM transport, Config-replace, Config-merge, Compare config, Atomic changes, rollback. Example NAPLAM scripts. Hands on Using NAPALM to gather facts, Using NAPALM for configuration management REST and RESTCONF What is REST, HTTP methods, GET, POST, cURL, Postman, Python requests library. RESTCONF, a RESTCONF example. Hands on Modifying a configuration using RESTCONF. Scapy What is scapy, Scapy in interactive mode, Scapy as a module. Hands on Packet crafting from Python. Warning Errors and exceptions, Exception handling, try, except. Memory management. Garbage collection. Context management, With. Hands on Improving Python code. Nornir What is Nornir? A network automation framework, inventories, connection management and parallelization. Nornir architecture and other libraires. Hands on Setting up nornir, nornir fact gathering, nornir tasks. Optional Writing your own functions, Writing your own classes. pyntc. Hands on Writing reusable code.

UNIX Virtualization and High Availability course description This course covers administering UNIX enterprise-wide with an emphasis on virtualization and high availability. What will you learn Manage Virtual Machines. Manage containers. Manage HA clusters. Manage HA cluster storage. UNIX Virtualization and High Availability course details Who will benefit: Enterprise-level UNIX professional. UNIX professionals working with virtualization and/or High availability. Prerequisites: Linux network administration 2 (LPIC-2) Duration 5 days UNIX Virtualization and High Availability course contents VIRTUALIZATION Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. Containers Containers versus VMs, Docker, Kubernetes. Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). HIGH AVAILABILITY CLUSTER STORAGE DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

Windows PowerShell training course description 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. What will you learn Work with Windows PowerShell pipeline. Query system information by using WMI and CIM. Work with variables, arrays, and hash tables. Write advanced scripts in Windows PowerShell. Administer remote computers. Use advanced Windows PowerShell techniques. Windows PowerShell training course details Who will benefit: IT professionals. Prerequisites: Supporting Windows Server Duration 5 days Windows PowerShell training course contents Getting started with Windows PowerShell Overview and background of Windows PowerShell, Understanding command syntax, Finding commands. Hands on Configuring Windows PowerShell console & ISE application. Hands on Finding and running basic commands, Using the About files. Cmdlets for administration Active Directory administration cmdlets, Network configuration cmdlets, Other server administration cmdlets. Hands on Windows Administration. Creating and managing Active Directory objects, Configuring network settings on Windows Server, Creating a web site. 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. Hands on Using the pipeline. Selecting, sorting, and displaying data. Hands on Filtering objects. Hands on Enumerating objects. Hands on Sending output to a file. Exporting user information to a file. Understanding how the pipeline works Passing the pipeline data, Advanced considerations for pipeline data. Hands on Working with pipeline parameter binding. Predicting pipeline behaviour. Using PSProviders and PSDrives Using PSProviders, Using PSDrives. Hands on Using PSProviders and PSDrives Creating files and folders on a remote computer, Creating a registry key for your future scripts, Create a new Active Directory group. Querying system information by using WMI and CIM Understanding WMI and CIM, Querying data by using WMI and CIM, Making changes with WMI/CIM. Hands on Working with WMI and CIM. Querying information by using WMI, Querying information by using CIM, Invoking methods. Working with variables, arrays, and hash tables Manipulating variables, arrays and hash tables. Hands on Working with variables, Using arrays, Using hash tables. Basic scripting Introduction to scripting, Scripting constructs, Importing data from files. Hands on Basic scripting. Setting a script, Processing an array with a ForEach loop, Processing items by using If statements, Creating a random password, Creating users based on a CSV file. Advanced scripting Accepting user input, Overview of script documentation, Troubleshooting and error handling, Functions and modules. Hands on Accepting data from users. Querying disk information from remote computers, Updating the script to use alternate credentials, Documenting a script. Hands on Implementing functions and modules. Creating a logging function, Adding error handling to a script, Converting a function to a module. Administering Remote Computers Using basic Windows PowerShell remoting, Using advanced Windows PowerShell remoting techniques, Using PSSessions. Hands on Using basic remoting. Enabling remoting on the local computer, Performing one-to-one remoting, Performing one-to-many remoting. Hands on Using PSSessions. Using implicit remoting, Managing multiple computers. Using background jobs and scheduled jobs Using background jobs, Using scheduled jobs. Hands on Using background jobs and scheduled jobs. Starting and managing jobs, Creating a scheduled job. Using advanced Windows PowerShell techniques Creating profile scripts, Using advanced techniques. Hands on Practicing advanced techniques. Creating a profile script, Verifying the validity of an IP address, Reporting disk information, Configuring NTFS permissions, Creating user accounts with passwords from a CSV file. Hands on Practicing script development (optional)

Hyper V for engineers training course description This five day course will provide you with the knowledge and skills required to design and implement Microsoft Server Virtualization solutions using Hyper-V and System Center. Please note that due to the nature of the lab / environment build delegates may be required to work in pairs. What will you learn Install and configure the Hyper-V server role. Create virtual machines, create and manage virtual hard disks and work with snapshots. Create and configure virtual machine networks in a Hyper-V environment. Provide high availability for Hyper-V environment by implementing failover clustering. Use System Center 2012 R2 Virtual Machine Manager. Create and manage virtual machines by using VMM. Hyper V for engineers training course details Who will benefit: Anyone designing, implementing, managing and maintaining a virtualization infrastructure. Prerequisites: Supporting Windows server 2012 Duration 5 days Hyper V for engineers training course contents Evaluating the environment for virtualization Overview of Microsoft virtualization, Overview of system center 2012 R2 components, Evaluating current environment for virtualization, Extending virtualization to the cloud environment. Selecting the appropriate virtualization method, Assessing the environment by using MAP. Installing and configuring the Hyper-V role Installing the Hyper-V role, Managing Hyper-V, Configuring Hyper-V settings, Hyper-V Host storage and networking, Installing the Hyper-V server role, Configuring Hyper-V settings, Accessing and managing Hyper-V remotely. Creating and managing virtual hard disks, virtual machines, and checkpoints Creating and configuring virtual hard disks, Creating and configuring virtual machines, Installing and Importing virtual machines, Managing virtual machine checkpoints, Monitoring Hyper-V, Designing virtual machines for server roles and services, Creating and managing virtual hard disks, Creating and managing virtual machines, Importing virtual machines and working with checkpoints monitoring Hyper-V. Creating and configuring virtual machine networks Creating and using Hyper-V virtual switches, Advanced Hyper-V networking features, Configuring and using Hyper-V network virtualization, Creating and using Windows Server 2012 R2 Hyper-V virtual switches, Configuring and using advanced virtual switch features, Configuring Hyper-V Network virtualization. Virtual machine movement and Hyper-V replica Providing high availability and redundancy for virtualization, Implementing virtual machine movement, Implementing and managing Hyper-V replica, Moving Hyper-V storage and virtual machines, Configuring and managing Hyper-V replica. Implementing failover clustering with Hyper-V Overview of failover clustering, Configuring and using shared storage, Implementing and managing failover clustering with Hyper-V, Creating a Hyper-V failover cluster, Managing a Hyper-V failover cluster. Installing and configuring System Center 2012 R2 virtual machine manager Integrating system center and server virtualization, Overview of VMM, Installing VMM, Adding hosts and managing host groups, Installing and configuring System Center 2012 R2 VMM, Managing hosts and host groups. Managing the Networking and storage infrastructure in System Center 2012 R2 VMM Managing networking infrastructure managing storage infrastructure, Managing infrastructure updates, Implementing a network infrastructure, Implementing a storage infrastructure, Managing infrastructure updates. Creating and managing VM using MS System Center 2012 R2 VMM VMM tasks in VMM, Creating, cloning, and converting VMs, Overview of VM updating, Creating a VM and modifying it's properties, Cloning a VM. Configuring and managing the MS System Center 2012 R2 VMM library and library objects Overview of the VMM library, Working with profiles and templates, Configuring and managing the VMM library, Creating and managing profiles and templates. Managing clouds in MS System Center 2012 R2 VMM Introduction to clouds, Creating and managing a cloud, Working with user roles in VMM, Creating a cloud, Working with user roles, Deploying VMs to a private cloud. Managing services in MS System Center 2012 R2 VMM and app controller Understanding services in VMM, Creating and managing services in VMM, Using app controller Creating a service template, Deploying a service and updating a service template, Configuring app controller, Deploying a VM in app controller. Protecting and monitoring virtualization infrastructure Overview of backup and restore options for VM, Protecting virtualization Infrastructure using DPM, Using Operations Manager for monitoring and reporting, Integrating VMM with Operations Manager, Implementing MS System Center 2012 R2 Operations Manager agents, Configuring Operations Manager monitoring components, Configuring Operations Manager integration with System Center 2012 R2 VMM.

Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.