25 Privacy courses in Liverpool

CLOUD TECHNOLOGIES TRAINING COURSE DESCRIPTION This course provides an introduction to cloud technologies, including, configuration and deployment, security, maintenance, and management. It covers all aspects of cloud computing infrastructure. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. . WHAT WILL YOU LEARN * Contrast and compare AWS, GCP and Azure. * Explain the different cloud services, models and characteristics. * Explain cloud virtualization components and options. * Explain cloud security options. * Describe cloud automation, orchestration, monitoring and performance options. CLOUD TECHNOLOGIES TRAINING COURSE DETAILS * Who will benefit: Anyone working with or looking to work with cloud technologies. * Prerequisites: None. * Duration 2 days CLOUD TECHNOLOGIES TRAINING COURSE CONTENTS * What is the cloud? The Internet Cloud computing Benefits Disadvantages * Cloud services IaaS, PaaS, SaaS, others. * Cloud service providers AWS, GCP Microsoft Azure, others * Cloud architectures Private, public, hybrid others Cloud based delivery * The cloud and virtualization Virtual Machines, networks, storage, deployment. * Accessing the Virtual Machine * Secure cloud environments Security considerations. Data privacy considerations * Automation and orchestration * Monitoring and performance Performance Cost issues Cost containment

In this course, students will learn general strategies for planning, designing, developing, implementing, and maintaining an IoT system through various case studies and by assembling and configuring an IoT device to work in a sensor network.

CWISA TRAINING COURSE DESCRIPTION This CWISA course covers wireless technologies with reference to IoT. It examines from an IoT perspective how wireless works, and is an excellent introduction to IoT for the wireless engineer. Topics range from wireless technologies, RF, to mobile networks, IoT, and security. WHAT WILL YOU LEARN * Describe wireless networking and IoT technologies. * Explain basic RF communications. * Plan wireless solutions. * Describe how to implement wireless solutions. * Use best practices in implementing wireless solutions. CWISA TRAINING COURSE DETAILS * Who will benefit: Anyone working with IoT technologies. * Prerequisites: RF fundamentals. * Duration 4 days CWISA TRAINING COURSE CONTENTS * Introduction to wireless technologies History of wireless, radio waves and frequencies, wireless technologies and related components, common components of wireless solutions, LAN networking requirements, Network security, Implementing wireless solutions, staging, documentation, security updates, Industry organizations, IEEE, compatibility and certification groups. * Wireless network use cases Wireless BANs, Wireless PANs, Wireless LANs, Wireless MANs, Wireless WANs, Wireless sensor networks, New network driver-Internet of Things, IoT for industry (IIoT), IoT for connected vehicles, Residential environments, Retail, Education (K12), Higher education, Agriculture, Smart cities / Public access, Health care, Office buildings, Hospitality, Industry, Stadiums, arenas, and large public venues. * Planning wireless solutions Identifying use cases and applications, common wireless requirements and constraints, performing a wireless system design, selecting and evaluating design parameters. * RF communications RF wave characteristics, RF propagation behaviours, RF signal metrics, fundamentals of wireless modulation. other wireless carriers, common frequency bands. * Radio frequency hardware Hardware levels, basic RF hardware components (circuit board level), RF link types (use category). RF device types. * Mobile communications networks Mobile networks, LTE, 5G, Use cases. * Short-range, low-rate, and low-power networks RF and speed, RF and range, RF and power, 802.11, 802.15.4, Bluetooth, LoRa (Long range) / LoRaWAN, ZigBee, 6LoWPAN, NB-IoT and LTE-M. * Wireless sensor networks What is a Wireless Sensor Network (WSN)? WSN applications, Sensors and actuators, WSN architectures, Planning a WSN. * Internet of Things (IoT) Internet of Things (IoT) defined, IoT history and its definition revisited, one more comment on the definition of IoT, IoT verticals, Oil & Gas, IoT structure/ architecture basics, IoT connected objects. * Securing wireless networks Confidentiality, integrity and availability, Privacy, non-repudiation, authenticity & safety, Importance of authentication in wireless networks, Key cryptographic technologies & concepts, Authentication methods, Authorisation, OAuth 2.0 authorisation framework, monitoring. * Troubleshooting wireless solutions Proper solutions design, designing and implementing wireless solutions, basic installation procedures, general configuration considerations, troubleshooting and remediation, troubleshoot common problems in wireless solutions. * Programming, scripting and automation What is an API? categories of APIs, common API communication methods, choosing a language, why are we integrating systems? Application & integration architectures. Data structures & types, XML, YAML, API types.

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.

Access confidential and personalized private counselling in London. Our experienced therapists provide one-on-one sessions to address your unique mental health needs, including anxiety, depression, stress, and more. With a focus on privacy and individualized care, our therapy services aim to support your journey towards mental well-being and personal growth. Key areas: confidential therapy, one-on-one counselling, private therapy, individual counselling, personal therapy sessions, private mental health support, discreet counselling. 3 x 1 hour sessions

Gain comprehensive knowledge and practical skills for safe and effective bowel care management with our "An Understanding of Bowel Care Techniques" course. Ideal for healthcare professionals seeking to promote patient comfort and prevent complications.

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Data Ethics for Business Professionals is designed for individuals who are seeking to demonstrate an understanding of the ethical uses of data in business settings.

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