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Every organisation needs leaders who can think and act strategically. This program will help you clarify: Why you exist (strategic purpose) Where you are now (strategic assessment) Where you want to go (strategic development) How to get there (strategic execution)

Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.

Implementing Scrum for Teams: In-House Training Scrum is an iterative, incremental framework for developing products. It allows the team to deliver a potentially shippable set of functionalities for each iteration, providing the agility needed to respond to rapidly changing requirements. These characteristics have led to Scrum becoming the most popular method in the world of Agile projects. This two-day course provides a practical approach to implementing the Scrum method on your projects. You will learn how to initiate a Scrum project, how to build a Product Backlog, containing user stories, and how to plan and estimate releases and iterations. You will learn how to conduct Scrum events, such as the Sprint Planning Meeting, and how to track progress during an iteration. You will apply what you learn in a series of hands-on, team-based activities and simulations that take you through the entire Scrum process. The overall goal of the course is to enable you to successfully apply the Scrum method on appropriate projects in your environment. What you will Learn At the end of this program, you will be able to: Teach-back Agile and Scrum foundation concepts Initiate a Scrum Project Conduct Team Sprint Planning and Sprint Review meetings Develop Release Plans (including effective user stories and priorities) Build a Sprint plan (including effective estimates) Executive a Sprint (including essential Scrum ceremonies) Implement Scrum in your environment Foundation Concepts Agile Mindset, Values, and Tenets Agile Benefits and Methods Scrum Overview Teams: Self-Managing, Self-Organizing, and Self-Improving Initiating a Scrum Project 'Sprint Zero' Activities Defining the Vision The Product Backlog and User Stories Acceptance Criteria Story Map Planning Releases Planning releases Estimating user stories Prioritizing user stories Selecting a Sprint length Estimating velocity Creating a release plan Planning a Sprint The Sprint Planning Meeting Building the Sprint Backlog Creating a Sprint Plan Running a Sprint Conduct a Sprint Burn-down and Burn-up Charts Negotiating Changes During a Sprint The Sprint Review Meeting Sprint Retrospective Releasing into Production Closing the Scrum Project Implementing Scrum Scrum Simulation Exercise Conditions of Success for Implementing Scrum

This class is designed for people who want to Learn Salsa\Zumba or any Latin Dance rhythm private class on Zoom platform for couples or individuals to achieve a good knowledge of the Salsa, Samba, Bachata, Merengue or Latin dance steps One to One lesson, 4 minimum pack lesson booking. Taught by native instructor You can have this lesson at our premises, on Zoom, Pre-recorded or home visit, the choice is yours!!! The Program includes: 10 or 20 Lesson 1on1 lesson Walking & Leading techniques Female & Male Teachers Footwork & Upper body techniques Steps & routines names (brain method) Body posture and language Tempo & beat music technique Fully equipped dance studio Ownership of your footage work progress & Docs Music library via Spotify & Apple Music Personal online library on Google Drive or Dropbox Salsa or Latin Dance rhythm private class in London for couples or individuals to achieve a good knowledge of the salsa, samba, bachata, merengue or Latin dance steps One to One lesson, 4 minimum pack lesson book Teach by native instructor We have been training people in salsa in london for almost 20 years and still in business as salsa in west london is increasing massively.

"You have to see failure as the beginning and the middle, but never entertain it as an end"

Internet of Things training course description A concise overview course covering The Internet of Things and the technologies involved. Particular emphasis is placed on the high level architecture of IoT and the benefits achievable. What will you learn Describe the structure of the IoT List the technologies involved in IoT. Explain how IoT works. Internet of Things training course details Who will benefit: Non-technical staff working with IoT. Prerequisites: None. Duration 1 day Internet of Things training course contents What is IoT The Internet, what is IoT? IoT and M2M, IoT technologies, IoT architecture. Wired and wireless communication. IoT applications; Smart houses, smart cities, smart cars, wearable, environment, other domain specific IoTs. IoT architecture Physical objects, virtual objects, cloud computing, data capture, communications. Big data. Components Hardware, sensors, actuators, chips, firmware, embedded systems. Open source platforms. Power options: Battery, solar, PoE. IoT communication RF, ZigBee, Bluetooth, Bluetooth LE, RFID, WiFi, 802.11ah, mobile technologies. Wired. Arduino (as an example) Microcontrollers, the platform, development, Arduino software, reading from sensors, I2C, SPI. Arduino and the Internet, HTTP, WiFi, GSM. The cloud and IoT: Pachube, nimbits, ThingSpeak Security in IoT Authentication, Encryption, secure booting, firewalls.

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - 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 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - 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 30 - 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 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

  ISO 45001 is the first global occupational health and safety management system standard that replaces OHSAS 18001. The IECB Certified ISO 45001 Lead Auditor training course helps in developing the necessary skillset to perform occupational health and safety management system (OH&S MS) audits by applying widely recognized audit principles, procedures, and methods.   About This Course   This training course has been developed to reflect the importance of an effective internal audit. It strengthens your knowledge and skills to plan and carry out an OH&S MS audit in compliance with the guidelines for auditing management systems provided in ISO 19011 and the certification process described in ISO/IEC 17021-1. The exercises provided for this training course are designed to help you practice the most important aspects of an OH&S MS audit: ISO 45001 requirements, auditing principles, tools and techniques used to obtain evidence, leading a team of auditors, conducting interviews with auditees, reviewing documented information, drafting nonconformity reports, and preparing the final audit report. The successful completion of the training course is followed by an exam. If you pass the exam, you gain the 'Certified ISO 45001 Internal Auditor' credential, which validates your professional capabilities and demonstrates your ability to audit an OH&S MS based on ISO 45001.   Learning objectives By the end of this training course, the participants will be able to: Explain the foundational concepts and principles of an occupational health and safety management system (OH&S MS) based on ISO 45001 Interpret the ISO 45001 requirements for an OH&S MS from the perspective of an auditor Evaluate the OH&S MS conformity to ISO 45001 requirements, in accordance with the foundational audit concepts and principles Plan, conduct, and close an ISO 45001 internal audit, in accordance with ISO/IEC 17021-1 requirements, ISO 19011 guidelines, and other best practices of auditing Manage an ISO 45001 internal audit programme   Educational approach This training course is participant centred and contains: Theories, best practices used in occupational health and safety management auditing Lecture sessions, which are illustrated with practical exercises based on a case study that includes role-playing and discussions Interactions, made between participants by means of questions and suggestions Quizzes, which are a simulation and preview of the certification exam   Course Overview Module 1 Foundational principles and concepts of an occupational health and safety management system Module 2 ISO 45001 requirements for an OH&S MS - Clauses 4 to 10 Module 3 Foundational audit concepts and principles Module 4 Preparing for an ISO 45001 audit Module 5 Conducting an internal ISO 45001 audit Module 6 Closing an ISO 45001 audit Module 7 Managing an ISO 45001 internal audit programme   Course Agenda Day 1: Introduction to OH&S MS and ISO 45001 Day 2: Audit principles and the preparation for and initiation of an audit Day 3: On-site audit activities and closing the audit, as well as the Certification exam Accreditation Assessment   All candidates at official training courses are tested throughout their course with quizzes and exercises, in combination with a final exam held on the last day of the course. Both elements are a part of the overall score. For this course, the final exam constitutes a 10 question essay type exam which should be completed within 125 minutes. A passing score is achieved at 70%. Self-study candidates can purchase an exam voucher from our Store. Exam results are returned within 24 hours, with successful candidates receiving both a digital badge and a Certificate of Achievement   Prerequisites   The main requirements for participating in this training course are: a foundational understanding of ISO 45001 and a comprehensive knowledge of audit principles. Provided by   This course is Accredited by NACSand Administered by the IECB What's Included?   Refreshments & Lunch (Classroom courses only) Course Slide Deck Official Study Guides CPD Certificate The Exam Who Should Attend?   Auditors interested in performing OH&S MS internal audits Managers or consultants interested in advancing their knowledge of the OH&S MS audit process Internal auditors and individuals responsible for maintaining conformity to the requirements of ISO 45001 Technical experts interested in preparing for an OH&S MS audit Expert advisors in occupational health and safety management

If you’ve ever considered working within the cyber security industry, but felt you lacked the knowledge or skills to launch your career, this course might be what you’re looking for.

Scrum Product Owner Exam Prep: In-House Training This workshop prepares you for the Scrum.org PSPO™ I certification. A voucher for the exam and the access information you will need to take the exam will be provided to you via email after you have completed the course. NOTE: If you have participated in any of IIL's other Scrum workshops, you can bypass this program and focus on reading/studying the Scrum Guide and taking practice exams from Scrum.org The Product Owner is responsible for maximizing the value of the product and the work of the Development Team. The Product Owner must be knowledgeable, available, and empowered to make decisions quickly in order for an Agile project to be successful. The Product Owner's key accountability is the Product Backlog. Managing, maintaining, and evolving the Product Backlog involves: Establishing a clear vision that engages the Development Team and stakeholders Clearly expressing Product Backlog items Ordering the items in the Product Backlog to best achieve the vision and goals Ensuring that the Product Backlog is visible, transparent, and clear to all Working with the Development Team throughout the project to create a product that fits the customer's need What you will Learn You'll learn how to: Successfully prepare for the Scrum.org PSPO I exam Identify the characteristics of a successful Product Owner Create a powerful vision statement Apply techniques to understand your customers and the market Manage and engage stakeholders Write effective user stories with acceptance criteria Utilize techniques to visualize and prioritize the Product Backlog Participate in the 5 Scrum events as the Product Owner Understand the Product Owner's role in closing a Scrum project Getting Started Introductions Workshop orientation Exam prep preview Fundamentals Recap Agile Manifesto, values, and mindset Product Owner characteristics Good vs. great Product Owner Product Ownership Product ownership Project vision Understand your customers and market Personas Stakeholder management and engagement The Product Backlog User Stories and Acceptance Criteria Preparing User Stories for a Sprint The Product Backlog Visualizing the Product Backlog Product Backlog Prioritization Technical Debt Sprint Planning and Daily Standups Sprint Planning Planning Poker Team Engagement Daily Standups Sprint Review, Retrospectives, and Closing Sprint Reviews Key Agile Patterns Retrospectives Closing the Project