1217 Courses delivered Online

Overview This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.

Overview This course will define the scope of work, project goal, project plan, project phase, sequencing and phase relationship Project Planning & Budgeting will provide participants with a demonstrated set of methods, processes, tools and techniques to cultivate a systematic and dynamic project plan to certify progressive monitoring control and reporting of the project cost.

Overview Objective Understanding the Importance of Business Analysis Model Determining various techniques of Process Modelling Understanding the scope of modelling Efficiently mapping the business landscape Analysing the enterprise structure How to avoid project failures. Learning efficient skills of being a successful business analyst. Understand and document various techniques for the organization delivers value. Successful project conversion Building team, changing the organization and overcoming resistance. Creating an effective Business Case.

Perl training course description A hands on introduction to programming in Perl. What will you learn Write Perl programs. Use Perl modules. Debug Perl programs. Examine existing code and determine its function. Perl training course details Who will benefit: Anyone wishing to learn Perl. Prerequisites: None although experience in another high level language would be useful. Duration 5 days Perl training course contents Introduction to Perl What is Perl? When to use Perl, downloading Perl, installing Perl, documentation, perldoc, running Perl, the Perl environment. Perl under UNIX, Perl under Windows. "Hello world". Variables Scalars, data types, $_, strings and numbers, assignment, constants, strict, scope, STDIN. Operators Number operators, string operators, precedence and associativity, converting numbers and strings, shortcut operators. Flow control Blocks, if, else, elseif, unless, foreach, while, for do, until. Regular expressions What are regular expressions? Pattern matching, Perl as a filter, file editing. Strings Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. Subroutines Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. Arrays and hashes Working with arrays, element access, push(), pop(), shift(), unshift(), <STDIN> as an array, associative arrays, hashes of arrays, hash references, arrays of hashes, hashes of hashes. Files Simple file handling, open, close, <FILEHANDLE>, <>, file tests, directory access, directory handles, database access, packing and packing binary data. I/O STDIN, STDOUT and STDERR, Command line arguments,@ARGV. Perl debugging The built in debugger, running the debugger, debugger commands, graphical debuggers. Script syntax errors, single stepping, breakpoints, watches. Packages and modules CPAN, Finding modules, installing modules, using modules, scope. Report formatting Formats, defining a format, invoking a format, field holders. Process management System interaction, system(), exec(), signals. Security issues.

Course Information Join us for a comprehensive refresher focusing on crucial Good Laboratory Practice (GLP) requirements, including an emphasis on data integrity, recent developments, and emerging trends gleaned from MHRA inspections. The programme dives into specific domains such as risk assessment, OECD guidance on sponsor influence, and the advisory from OECD on QA. Additionally, delegates can benefit from a dedicated GLP clinic, facilitating discussions on understanding and upholding GLP compliance. Is this course for you? This course is tailored for study directors, principal investigators, test facility management, and QA professionals seeking to refresh their knowledge and responsibilities within the GLP framework. Tutors Tutors will be comprised of (click the photos for biographies): Vanessa Grant -, - Tim Stiles Consultant, Qualogy Ltd Programme Please note timings may be subject to alteration. Day 1 09:00 Registration, Welcome and Introduction 09:20 Development of Good Laboratory Practice A reminder of the history of GLP, its current scope and application, with a synopsis of current UK, European and international standards. 09:50 Roles and Responsibilities of Study Director, Test Facility Management, Principal Investigator, Test Site Management, Study Staff and QA A reminder of the roles and responsibilities with regard to the GLP management and oversight of the Test Facility and the management and control of the study, as defined by GLP. 10:30 Break 10:45 Workshop 1 Workshop 1 Roles and responsibilities 11:15 Influence of Sponsors The published OECD Position Paper No. 21 regarding Possible Influence of Sponsors on conclusions of GLP Studies is reviewed and discussed. 11:45 Data Integrity The fundamentals of data integrity according to the OECD Guidance No. 22 on Data Integrity is discussed along with the responsibilities of Study Director, Test Facility Management, and study staff in ensuring the integrity of the GLP study data. 12:30 Lunch 13:15 Quality Assurance and GLP OECD Advisory No. 23 (Revision of OECD No.4)- A walk through of the changes to the OECD Guidance on the role and activities of Quality Assurance 13:45 Quality Improvement Tools and GLP The tools that might be considered for GLP and their role and operation when used in Test Facilities- OECD Position Paper No.24 published July 2022 14:15 Workshop 2 Workshop 2 Change control 14:30 Risk Assessment How should we assess risk and how can we use the process to assist in evaluation audit findings? 15:00 Break 15:15 Current hot topics in GLP Explore the current issues in Industry and trends /types of Regulatory inspection findings 15:50 GLP Clinic An opportunity to discuss any other issues regarding understanding and maintaining GLP Compliance. 16:30 Close of Course Extra Information Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. CPD Points 7 Points   Development Level Learn

Complete C programming training course description A hands-on introduction to programming in the ANSI C programming language. The course initially moves at a fast pace in order to spend as much time as possible on the subject of pointers - the area which cause the most bugs in C programs. What will you learn Write ANSI C programs Use the C libraries Debug C programs Examine existing code and determine its function. Complete C programming training course details Who will benefit: Programmers wishing to learn C. Programmers wishing to learn C++ or Java. Prerequisites: None, although experience in another high level language would be useful. Duration 5 days Complete C programming training course contents Getting started The compilation process, comments, main(), statement blocks, printf(). C data types and operators char, int, float and double, qualifiers, arithmetic and assignment operators, precedence, Associativity. Basic I/O C libraries, stdin and stdout, getchar(), putchar(), printf() formatting. Flow control if else, dangling elses, else if, while and for loops. switch statements, the null statement, break, continue and gotos. Functions Function calls, arguments and return types, function declarations (prototypes), function definitions, scope of variables. The preprocessor Preprocessor actions, macros, #include. Libraries and their relationship with header files. Conditional compilation. More data types and operators Logical, bitwise and other operators, type conversion, casting, typedefs and access modifiers. Arrays Declaring and handling arrays, common gotchas, multidimensional arrays. Pointers What are pointers? Why they are so important, declaring and using pointers,The three uses of the *,pointer example - scanf, pointers as arguments. More pointers Golden rules of pointers and arrays, pointers to arrays, pointer arithmetic, arrays of pointers, multiple indirection. Character/string manipulation Arrays of characters, string definition, working with strings, String library. Program arguments argc and argv, example uses,char *argv[] versus char ** argv. Program structure and storage classes Globals (externals), multi source programs, the look of a C program. Structures Declaration, the . and - operators, unions and bitfields. Library functions File handling, fopen and fclose, reading from and writing to files, fseek().calloc() and malloc()

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.

Ansible for engineers training course description An introduction to automation using ansible. Ansible is a general purpose IT automation platform that can be use for a number of purposes. The course covers configuration management, cloud provisioning and application deployment with ansible. Hands on sessions follow all major sections. What will you learn Install ansible. Automate tasks with ansible. Write ansible playbooks. Ansible for engineers training course details Who will benefit: Administrators and developers automating tasks. Prerequisites: Linux administration skills Duration 3 days Ansible for engineers training course contents What is ansible? The language, the engine, the framework. Uses of ansible, orchestration. Hands on Installing ansible. Ansible architecture ible architecture Controlling machines, nodes, Agentless, SSH, modules, JSON protocol. Configuration management, inventories, playbooks, modules, roles. Hands on Getting started, running ad hoc commands. Ansible and Vagrant Prototyping and testing. Hands on Using ansible with Vagrant. Ad hoc commands Parallelism, shell commands, managing files and directories, file transfer, package management, manage user and groups, deploying applications, service management, background jobs, checking log files, managing cron jobs. Hands on Using ansible with Vagrant. Playbooks ansible-playbook, users, sudo, YAML, plays, tasks, handlers, modules. Hands on Running playbooks. More playbooks Handlers, variables, environmental variables, playbook variables, inventory variables, variable scope and precedence, accessing variables, facts, ansible vault. Conditionals, wait_for. Hands on Using variables and conditions in playbooks. Roles and includes Dynamic includes, Handler includes, playbook includes. Roles, role parts: handlers, files, templates, cross platform roles, ansible galaxy. Hands on includes example, building roles. Inventories /etc/ansible/hosts, inventory variables, static inventories, dynamic inventories. Hands on Inventories and variables. Miscellanea Individual server cookbooks, Main playbook for configuring all servers. Hands onPlaybooks.

REXX training course description A hands on training course covering the Restructured EXtended eXecutor (REXX) language. A large number of exercises are used to reinforce and emphasise lecture sessions. What will you learn Write REXX programs. Debug REXX programs. Examine existing code and determine its function. REXX training course details Who will benefit: Anyone wishing to learn REXX. Prerequisites: None although experience in another high level language would be useful. Duration 3 days REXX training course contents Introduction to REXX What is REXX? REXX environments, invoking a REXX exec, a sample REXX exec, REXX clause types. REXX variables and data Literal data, variable data, assignment, simple variables, compound variables, stem variables, constant data, numeric data, arithmetic operations, character manipulation, hexadecimal data. The parse instruction Parse format, Parse examples, Parse arg, Parse pull, Parse value, special templates, place holders, literal templates, numeric templates, variable templates. Control structures Relational conditions, logical operators, simple selection, looping: uncontrolled and controlled loops, infinite loops, conditional loops, controlling loops, leave, iterate, multiple selection, instructions for subroutines, exit. Sub routines and functions Internal and external subroutines, call, ARG(), ARG(n)return, exit, scope of variables, procedure, functions, built in functions, overriding built in functions. Performing I/O Command conventions, preparing to read a file, execio, limitations, execio for reading, DISKR, DISKRU, DISKW, return codes. External functions listdsi, msg, outtrap, prompt, sysdsn, sysvar, storage Tracing Immediate commands, the trace facility, signal and call statements. Built in functions Text handling functions, string handling, word handling, arithmetic, data conversion, bit manipulation, environment. The data stack Data stack structure, REXX instructions for the data stack, REXX functions for the data stack, TSO/E commands for the data stack. REXX in batch TSO/E foreground. TSO/E background.

XML primer training course description This course has been designed for web and intranet developers who want to accelerate their learning of XML and its applications without the grind of book learning. Although a basic knowledge of HTML and JavaScript is assumed, it is also assumed you know very little about XML and how to use it. On completion of this course you should understand the benefits of using XML and be able to design XML solutions where applicable to your company's Internet/intranet requirements. The course will be particularly beneficial if you want to know how to communicate data to diverse applications over the Internet or company intranet. What will you learn Write XML. Debug XML. Examine existing code and determine its function. XML primer training course details Who will benefit: Anyone working with XML. Prerequisites: HTML5 development fundamentals Duration 3 days XML primer training course contents The origins of XML Markup languages, SGML, document type definitions and validity, introducing XML, IE and XML, accessing content and adding style. Basic XML XML document structure, elements and attributes, grammar, well formed documents, other XML elements and references. Document Type Definition (DTDs) Creating a DTD, basic declaration, declaring elements, content definitions, entities, entity declarations, notations, defining attributes, attribute types, forcing inclusion or exclusion of DTD sections, validation. Namespaces Declaring namespaces, scoping, removing and changing namespaces, qualified names, attribute namespaces. An introduction to schemas Constructing schemas, defining the root element and its contents,<ELEMENTTYPE>, defining root element contents, adding attributes definitions, <ATTRIBUTETYPE>, <ELEMENT>, <ATTRIBUTE>. XML & the Document Object Model (DOM) What the DOM offers, DOM and W3C. Basic DOM concepts XML documents as trees, terminology of tree elements. Key DOM Objects: The document object and its creation, base objects, IE specifics, the XML node hierarchy. Programming DOM Viewing a DOM model as XML, getting the root element of a document, iterating nodes of a DOM, basic node properties, collection objects, searching for specific values, filtering a nodelist by tagname, more filtering methods, selecting nodes from their attributes. Amending Content and Structure Creating/saving a DOM as XML, changing content/structure, dynamically building a DOM. Using ASP and other techniques ASP techniques, HTTPREQUEST object, XSL, transforming and formatting XML. Formatting Using CSS. CSS And XML. XSL Transformations - XSLT Introduction, the XSL root element, applying XSL stylesheets to XML, XSL elements and operations, instructions - creating text nodes and applying templates, a 'drill-down' approach, simple output formatting, pattern filters - patterns based on position, the Match and Select attributes and their patterns, formatting output, creating new XML in output.