685 Opera courses in London

Level 5 NVQ Diploma in Controlling Lifting Operations

About this Virtual Instructor Led Training (VILT) This 3 half-day Virtual Instructor Led Training (VILT) course will help participants grasp the idea of real-world risk management and how this relates to the cyber world. The VILT course will cover topics surrounding identifying cyber risks and vulnerabilities, guidance on applying administrative actions, and comprehensive solutions to ensure your organization is adequately secure and protected. The VILT course will guide participants on how to conduct a security risk assessment for their organization, and equip them with the skills to develop a risk compliance assessment plan as well as methods to develop risk management strategies which can improve their organization's security posture. The VILT course has at least a 30% hands-on approach through the use of Table Top Exercises. The VILT course will cover the following modules: Introduction to Risk Assessments (RA) Threat Actors and Their Motivations Threat and Risk Assessment Critical Controls Identification Maturity Assessment Treated Cyber Risk Profile Target Cyber Risk Profile and Strategy Target Audience The VILT course is intended for professionals responsible for organizational information and security system and those involved in operating and maintenance of critical information and IT network & sotware systems. Professionals who are designated as the Single Point of Accountability (SPoA) as well as system auditors will find this course useful. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 3 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 3 half-day sessions, 4 hours per session (12 hours in total). This VILT course is delivered in partnership with ENGIE Laborelec. Trainer Your expert course leader is a is specialized in cybersecurity risk management. Before joining ENGIE, she worked for The National Cybersecurity Agency of France (ANSSI) based in Paris (France) and for Deloitte Belgium located in Zaventem (Belgium). She has been involved in cybersecurity projects focusing on the principle of protecting critical infrastructures. Her different experiences in Cyber Security, Anti-Money Laundering and Global Trade Compliance (including Export Control and Customs) gave her the opportunity to use methodologies tackling strategic, operational and financial control issues at all levels of an organization: people, business processes, IT applications and infrastructure, legal and regulatory compliance. She was an EBIOS Risk Manager (RM) trainer while she worked for the French government; EBIOS RM is the French method for assessing and treating digital risks. She also had the opportunity to represent France towards European institutions and other relevant stakeholders for topics related to cybersecurity risk management. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

NOCN NVQ Level 3 Diploma in Supervising Hire and Rental Operations

Level 4 NVQ Diploma in Controlling Lifting Operations - Supervising Lifts

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.

C++ training course description A hands on introduction to programming in the C++ language. The course concentrates on aspects that will be new to experienced C programmers and so is not suitable for those without C knowledge. What will you learn Write C++ programs Debug C++ programs. Examine existing code and determine its function. Use classes, function overloading, operator overloading, inheritance and virtual functions within C++ programs. C++ training course details Who will benefit: Programmers needing to write C++ code. Programmers needing to maintain C++ code. Prerequisites: C programming foundation. Duration 5 days C++ training course contents The origins of C++ C++ as a better C, C++ and Object Oriented Programming, encapsulation, polymorphism, inheritance. C++ standards. Getting started Simple C++ programs. Classes Basics, constructor and destructor functions, member and friend functions. Using objects. Default, copy and conversion constructors. A better C Arrays, pointers and references, new and delete. Improved safety with smart pointers, Resource Acquisition in Initialization (RAII). Functions in C++ Function overloading, default arguments, inline functions, Lambda functions. Templates Template classes and functions. Standard Library Containers, Iterators, algorithms, function objects. Operator overloading Basics, binary operators, the this pointer, relational operators, unary operators. Members versus friends. Inheritance Base class access control, protected members, multiple inheritance, virtual base classes. More I/O Manipulators, customising inserters, extractors. File I/O. Virtual functions Pointers to derived classes, run time polymorphism. Exception handling Throwing errors, trying code and catching errors.

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()

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.

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.

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.