1369 RES courses in Glasgow

LINX 3 training course description A detailed study of BGP, from the basics of how it works through to advanced issues such as route reflectors, policy, filtering, route selection and routing registries. The course culminates with a study of an industrial strength BGP template illustrating important issues such as bogon filtering. Practical hands on with routers follow the major sessions to reinforce the theory. A multiple choice exam, leading to the LAIT III certification, is available after the course. The exam consists of 60 questions and lasts 2 hours. What will you learn Connect enterprises to the Internet, and ISPs to each other. Describe how BGP works. List, describe and configure the main BGP attributes. Implement and troubleshoot BGP. Work with route aggregation and calculate CIDR prefixes in seconds. Influence traffic paths with BGP. LINX 3 training course details Who will benefit: Network engineers. Prerequisites: LAIT I and II OR CCNP and take LAIT I and LAIT II exams whilst on this course. Duration 5 days LINX 3 training course contents Basic BGP IGPs, EGPs, What's BGP? BGP RIB, in/out process, tables peers, adding routes. Hands on Simple configuration and troubleshooting. The Internet and peering ASs, AS numbers, Internet structure, ISP types, ISP network design, IXs, peering vs. transit, public/ private peering, bi/multi-lateral peering. Hands on AS information gathering. How BGP works Incremental updates, Path vector protocols, BGP protocol stack, the BGP header, message types, NLRI, withdrawn routes, route refresh, route dampening. Hands on More troubleshooting, packet analysis. MBGP and IPv6 Multiprotocol routing, AFI, SAFI, MBGP and multicasts, IPv6, MPLS VPNs. Hands on IPv6 BGPv4 aggregation CIDR, benefits, techniques, shortcuts, configuring BGP aggregation, leaking routes. Hands on Reducing routing table size. BGP path selection BGP attributes, attribute types, route selection order, Local preference, AS prepend, MEDs. Hands on Influencing traffic with BGP. BGP routing policies What is policy? Examples, route filtering, AS filtering, REs, applying preference selectively, peer groups. Hands on Sophisticated policies. RIPE and routing registries RIRs, Allocations, assignments, PI vs. PA. Objects, RPSL, routing registry, Hands on The RIPE database. Automating BGP configuration Automation tools, whois, IRRToolSet, Bogon lists, tracking bogon lists, HTTP, Peering, routing registries, DNS. Communities What is a community? Community names, communities for: peer types and geography. RFC 1998, default communities. Hands on Setting local preference on other routers. Route servers What are route servers? LINX route servers, route server policy control, What are route collectors, Looking glasses. Hands on Setting up and working with a route server. Peer relationships IBGP, EBGP, next hop self, advertising routes into/out of BGP, synchronisation. Hands on IBGP, troubleshooting a large BGP network. Route reflectors and confederations Full mesh IBGP, Route reflectors, RR configuration and design, confederations, migration issues. Hands on RR configuration. BGP architectures Stub vs. transit AS, when to use BGP, multihoming strategies and issues, default routes. Multihop EBGP, load balancing. Hands on Multihoming. BGP security RFC 7454, security steps, BGP TTL security, filters, RPKI, ROAs, rsync, rrdp, validators. A secure BGP template. Hands on RPKI prefix validation.

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.

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