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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.

Diploma in Translation Techniques Level 1 Explore the Translation Basics, master various Translation Techniques and Approaches, and acquire the Skills of a Good Translator. Delve into the fascinating world of Speech and Language Therapy in Translation, and learn the art of Proofreading and Quality Assurance in Translation. Finally, discover the latest Technology and Tools for Translation, equipping yourself with the skills needed for success in the field. Learning Outcomes: Explain the fundamentals of translation and its importance. Apply various translation techniques and approaches effectively. Demonstrate the skills required to be a proficient translator. Integrate speech and language therapy concepts into translation. Utilize proofreading and quality assurance methods in translation. Employ technology and tools for efficient and accurate translation. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Diploma in Translation Techniques Level 1 Course Syllabus Translation Basics: Develop a solid foundation in the fundamental principles and concepts of translation, including its role in bridging language and culture. Translation Techniques and Approaches: Explore various translation techniques and approaches, such as literal vs. idiomatic translation, to effectively convey meaning across languages. Skills of a Good Translator: Acquire essential skills required for becoming a proficient translator, including linguistic competence, research skills, and cultural sensitivity. Speech and Language Therapy in Translation: Understand the application of speech and language therapy concepts in translation, particularly when working with specialized or medical texts. Proofreading and Quality Assurance in Translation: Learn how to meticulously proofread translated texts and implement quality assurance processes to ensure accuracy and coherence. Technology and Tools for Translation: Familiarize yourself with modern translation technologies and tools, including computer-assisted translation (CAT) software, to enhance translation efficiency and consistency.

During this course, you’ll learn idioms and phrases you can use in Vietnam while travelling or living there.

XSLT training course description This course has been designed as a follow on course for the XML primer course. The course looks at the use of XSLT in the transforming and styling XML documents. What will you learn Transform and style XML documents using XSLT. XSLT training course details Who will benefit: Anyone working with XSLT. Prerequisites: XML primer Duration 2 days XSLT training course contents Introduction Extensible Stylesheet Language (XSL), transforming and formatting XML. XML refresher The basic rules for building an XML document. An introduction to XSLT The basic concepts of XSLT, xsl:output, xsl:template, xsl:value-of. XML documents as trees How the original XML is transformed into a set of nodes, the general terms for manipulating node trees. Paths (XPath) Use of path matching to select required nodes for transformation. Using templates xsl:apply-templates, xsl:template match, nested templates, xsl:copy , <comment> and <element> , default templates, parameters. Control xsl:if, xsl:choose, xsl:for-each, xsl:sort. Constructing the result tree xsl:output, xsl:attribute, xsl:attribute-set, xsl:comment, xsl:processing-instruction, xsl:text, xsl:value-of, xsl:variable. Combining templates xsl:include, xsl:import, xsl:apply-imports. Transforming to text

In this practical, hands-on course, you'll learn how to use R for effective data analysis and visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

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.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 6 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Advance your British Sign Language skills with our Level 2 Course. Perfect for learners seeking to enhance communication with the Deaf community. Enroll today and unlock new opportunities for personal and professional growth.

Become a master NLP practitioner who brings positivity to society and helps people hit milestones. Learn Emotional Intelligence, Sensory Acuity, and language patterns.