Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.
AAT Courses Online Live AAT online courses give you the opportunity to join live online classes. You can interact with your tutor and fellow students and enjoy a shared learning experience. Whilst you are studying, live classes are held regularly to provide you with the support and structure you would get from a traditional classroom environment, wherever you are. The classes are interactive and led by a expert course tutor. Students are able to ask questions in real-time, participate in polls and check their knowledge against their fellow students. You get access to ample study resources online. AAT Level 2 Online Courses When you study aat level 2 online courses, you get coursebooks and workbooks delivered to your home address. You also get access to VLC for additional learning resources such as Practice Assessments, mock tests, crosswords, interactive assessment etc. In addition, you would be given a schedule of live classes. AAT Level 3 Online Courses When you choose to study aat level 3 online courses, you get coursebooks and workbooks delivered to your home address. You also get access to VLC for additional learning resources such as Practice Assessments, mock tests, crosswords, interactive assessment etc. In addition, through your schedule of live classes you can keep yourself up to date with rest of the group. AAT Level 4 Online Courses With aat level 4 online courses, you get coursebooks and workbooks for your chosen subjects delivered to your home address. Through your access to VLC you can join live online classes. In addition, you get ample learning resources such as Practice Assessments, mock tests, crosswords, interactive assessment etc. through your VLC account.
Duration 2 Days 12 CPD hours This course is intended for The course is designed for individuals who want to gain in-depth knowledge and practice in the discipline of Modelling Business Processes (Business Analysts, Requirements Engineers, Product manager, Product Owner, Chief Product Owner, Service Manager, Service Owner, Project manager, Consultants) Overview Students should be able to demonstrate knowledge and understanding and application of Modelling Business Processes principles and techniques. Key areas are: The role of business process modelling Modelling core business processes at an organizational level Modelling business processes at the process level Documenting and analyzing tasks The use of gap analysis in improving business processes The Business Analyst role analyzes, understands and manages the requirements in a customer-supplier relationship and ensures that the right products are delivered. The course provides in-depth knowledge and practice in Modelling Business Processes Course Introduction Let?s Get to Know Each Other Course Overview Course Learning Objectives Course Structure Course Agenda Introduction to Business Process Modelling Exam Details Business Analysis Certification Scheme The Context for Business Process Modelling Purpose and benefits of business process modelling Three levels of business process hierarchy (Organization, process and task level) Process view versus the functional view of an organization Assessing the impact of a new process design (POPIT model) Implementation of a business change (Pilot, phased, direct changeover, parallel running) The Organizational Context for Business Processes Construction of an organizational level model of a business process External and internal elements of an organizational model Supporting the value proposition Modelling the Business Processes Construction of a business process model Standard notation Process, task and step OPOPOT External, internal and time-based events Internal performance measures and customer expectations of performance Documenting Tasks A task description UML activity diagram notation and structured english Improving Business Processes task automation, removal of gaps and disconnects, process reengineering business rules and assumptions Unsatisfactory performance Combinations of conditions Gap analysis
Duration 2 Days 12 CPD hours This course is intended for This course is intended for DBAs and IT Professionals who are responsible for administration and maintenance of PostgreSQL or EDB Postgres Advanced Server. It teaches the essential skills required by Postgres DBAs to be successful. Overview This certification exam assesses and certifies a database professional to demonstrate the fundamental skills necessary to maintain and manage a PostgreSQL server and applications in a production environment. This course presents the PostgreSQL database architecture and core administrative tasks including configuration, maintenance, monitoring, backups, recovery, and moving data. It also introduces learners to enterprise class tools for Postgres administration and prepares them to handle real time, production environments. Upon course completion, the learners will be prepared to manage large, highly available Postgres databases with confidence. Introduction and Architectural OverviewSystem ArchitecturePostgreSQL InstallationEDB Postgres Advanced Server InstallationDatabase ClustersConfigurationCreating and Managing DatabasesCommand Line User ToolsGUI ToolsSecurity BasicsSQL PrimerBackup, Recovery, and PITRRoutine MaintenanceData DictionaryMoving Data Additional course details: Nexus Humans Foundations of Postgres Administration 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 Foundations of Postgres Administration 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.
Duration 2 Days 12 CPD hours This course is intended for Built for those supporting a Citrix Virtual Apps and Desktops solution in a help desk or service desk capacity. An ideal candidate for this course interacts with end users to troubleshoot and resolve issues. Overview How to support end-users connecting to Citrix Virtual Apps and Desktops through Citrix Workspace App. How to use Citrix Director to gather information and interact with user sessions. A methodology to approach user related issues to minimize time to resolution. An understanding of the Citrix Virtual Apps and Desktops solution and the role of the components Learn to support end-users accessing virtual apps and desktops as part of a Citrix solution. In this course, you will learn to use Citrix Director to interact with user sessions and to capture information for solving issues or escalating to the administration team. Gain foundational knowledge about the Citrix Virtual Apps and Desktops technology and an understanding of how components interact. You will learn about each component focusing on common user related issues that may arise, and how to apply a methodical approach to solve them using real world scenarios. By the end of the course, you will be able to solve or escalate end-user issues appropriately Fundamental Architecture for the Help Desk Role Citrix Site Infrastructure and Deployment Models The Help Desk Role in the Fundamental Architecture Problem Resolution Methodology Citrix Director and its role in Help Desk Support Citrix Director Role and Purpose Access to Director for Help Desk Administrators Common Director Monitoring Tasks Common Help Desk AdministratorTroubleshooting Tasks Providing and Troubleshooting End User Access End User Access Overview Components between end users and published resources on VDAs User Experience Support End User Access Citrix Workspace App Workspace App Types Deploying Citrix Workspace app Pass though Authentication Supporting Citrix Workspace App User Sessions FlexCast Architecture User Sessions App and Desktop Launch Process User Profiles HDX Technologies Printing Introduction to Printing Printing Components Overview Supporting Printing
Duration 2 Days 12 CPD hours This course is intended for This course is intended for system and network administrators or operators responsible for the installation, setup, configuration, and administration of the BIG-IQ system or management of BIG-IP devices and F5 products running on those devices. This course uses lectures and hands-on exercises to give participants real-time experience in configuring and using the BIG-IQ© product. Students are introduced to BIG-IQ, its interface, and its various functionality. We first look at administering and operating the BIG-IQ system itself, then detail how it is used to remotely manage BIG-IP devices running BIG-IP Local Traffic Manager (LTM). We then look configuring a BIG-IQ Data Collection Device (DCD) system and see how it is used for the remote storage and examination of BIG-IP log events and statistics. Module 1: BIG-IQ Overview BIG-IQ Centralized Management BIG-IQ Components BIG-IQ Core Functionality REST API BIG-IQ Data Collection Device (DCD) BIG-IP Cloud Edition (CE) Setting up the BIG-IQ System Module 2: Administering the BIG-IQ System Controlling Access to the BIG-IQ Creating, Authenticating, Configuring Users Backups Local Host Settings Configuring DNS, NTP, and SMTP Monitoring BIG-IQ, DCD, and BIG-IP Events with Alerts Monitoring BIG-IQ with iHealth Post Installation Issues; Licensing, Changing Management IP, Master Key, Restoring Backups Module 3: Managing BIG-IP LTM Devices BIG-IP LTM Device Discovery BIG-IP Device Backup Deploying to BIG-IP Devices Deployment and Deployment Logs Configuration Snapshots Managing BIG-IP Certificates Managing BIG-IP Licenses Monitoring BIG-IP Devices with iHealth Management of QKView Reports from Managed BIG-IP Devices Module 4: Setting Up the BIG-IQ Data Collection Device Custom Roles Types and Groups Setting up User Accounts with custom roles and privileges Managing BIG-IP DSC Discovery and management of BIG-IP Device Clusters (DSC) with BIG-IQ Administering BIG-IQ High Availability Configuration and management of BIG-IQ systems in a High Availability pair
Agile working is an approach that the NHS supports. It demands new ways of working and thinking. Agile means that work is now seen as an activity, not a place. People are the organisation. The way we communicate has to change. The way we manage has to change. This workshop will let you reflect on what works for you now and where you may need to adapt. You may need to trust and value your team more than ever, but when they aren't in front of you in the office, you will need to question your beliefs. The workshop will help you: Understand what Agile Working is all about Reflect on your management style Recognise the new ways of managing agile workers Choose the right communication methods Understand culture and mindset Identify different ways of measuring performance Focus on innovation and not bureaucracy Manage more effectively This workshop has been designed to support you in effectively managing an agile team. You will need to be open to questioning your existing techniques and be open and responsive to change. 1 What's it all about? What is Agile working? What are your personal management concerns? How to make it work Time / location / role / source 2 Your role as an Agile manager Your style Your team's individual preferences Learning to let go Your management style self assessment 3 The 3 areas of focus Trust Delegation Empowerment 4 Communicating effectively New ways of communicating Managing expectations What are you measuring? 5 Your personal action plan What are you going to do differently?
Course Overview This course on "Capital Budgeting & Investment Decision Rules" provides a comprehensive foundation in the key concepts and techniques used in evaluating long-term investments. Covering fundamental methods such as Net Present Value (NPV), Payback Period, and Internal Rate of Return (IRR), the course explores how businesses make critical decisions on capital allocation. Learners will gain a deep understanding of the tools used to assess the financial viability of projects, ensuring they can apply these methods in real-world situations. This course is designed to equip professionals with the knowledge to evaluate investment opportunities effectively and contribute to strategic decision-making. Course Description The "Capital Budgeting & Investment Decision Rules" course delves into essential financial decision-making techniques used by organisations to evaluate potential investments. Topics include the NPV method, Payback Period, IRR, and how to assess projects with varying timelines. Learners will explore the advantages and limitations of each method and understand their applications in different business contexts. The course also covers the evaluation of projects with different durations and how to select the best investment strategies to achieve organisational goals. Through this learning experience, participants will acquire the analytical skills necessary to make informed capital budgeting decisions, ultimately strengthening their financial decision-making acumen. Course Modules Module 01: Introduction Module 02: NPV Method Module 03: Payback Period Method Module 04: Internal Rate of Return (IRR) Module 05: Evaluating Projects in Different Lives Module 06: Conclusion (See full curriculum) Who is this course for? Individuals seeking to understand capital budgeting methods. Professionals aiming to enhance their financial analysis skills. Beginners with an interest in finance and investment decision-making. Anyone looking to develop their knowledge in investment evaluation techniques. Career Path Financial Analyst Investment Analyst Corporate Finance Professional Project Manager Risk Manager Business Consultant
Course Overview The Canine First Aid and CPR Course provides essential knowledge and skills to respond to emergencies involving dogs. It covers a range of critical topics, including first aid, CPR, and basic health assessments. This course is designed to empower learners with the confidence to act decisively in a variety of canine emergency situations, enhancing the safety and well-being of pets. Upon completion, learners will gain the ability to handle common canine injuries and medical emergencies, ensuring pets receive the care they need in times of distress. Course Description This course dives deep into key areas of canine health and emergency response. Learners will explore pet first aid, including injury management and common health issues, along with essential CPR techniques for dogs. The course also covers important aspects of pet business practices, giving those interested in the pet care industry a well-rounded understanding. With an engaging and thorough curriculum, learners will develop the skills required to provide immediate assistance to dogs in need, preparing them for any situation that may arise. The course is designed for all levels of learners, from beginners to professionals seeking to expand their knowledge in pet care. Course Modules: Module 01: Pet First Aid Key first aid procedures for dogs Identifying and treating common injuries Basic wound care and infection prevention Module 02: Pet CPR Techniques for canine CPR Recognising signs of cardiac arrest in dogs Step-by-step guide to performing CPR Module 03: Pet Business Essential business practices for pet care professionals Overview of pet care industry trends Marketing and client management for pet businesses (See full curriculum) Who is this course for? Individuals seeking to improve their dog care knowledge. Professionals aiming to expand their skill set in the pet care industry. Beginners with an interest in pet health and emergency care. Pet owners looking to become more confident in handling canine emergencies. Career Path Pet Care Professional Canine Health Advisor Dog Trainer or Behaviourist Veterinary Assistant Pet Business Owner
Course Overview The Food Safety and Hygiene Level 2 course is designed to equip learners with a strong understanding of the key principles underpinning food hygiene and safety in the UK. Covering essential topics such as microbiological hazards, legislation, allergen control, and hygiene practices, this course prepares learners to contribute effectively to safe food handling environments. Whether you're working in catering, hospitality, retail, or food production, the knowledge gained through this course helps ensure food is handled in compliance with UK standards. By the end of the course, learners will be confident in identifying hazards, understanding legal responsibilities, and maintaining hygienic practices within food premises. It also includes timely guidance for adapting food businesses during COVID-19, supporting learners in meeting current industry expectations. Course Description This CPD-accredited course explores the foundations of food safety and hygiene, including a detailed look into food legislation, storage, preparation, and cleaning protocols. Learners will gain insights into the causes of foodborne illnesses, methods to prevent cross-contamination, and best practices for managing allergenic, chemical, and physical hazards. The course also highlights the importance of personal hygiene, structural cleanliness, and effective waste control within food premises. A dedicated module addresses how food businesses can operate safely during and after the COVID-19 pandemic. Designed to support learners in understanding their responsibilities under food law, this course promotes awareness and compliance in diverse food-handling settings, from small catering units to large-scale food operations. Course Modules Module 01: Food Safety Legislation Module 02: Microbiological Hazards Module 03: Physical, Chemical and Allergenic Hazards Module 04: Food Storage Module 05: Food Preparation Module 06: Personal Hygiene Module 07: Food Premises Design and Cleaning Schedules Module 08: Further Information Module 09: Reopening and Adapting Your Food Business During COVID-19 (See full curriculum) Who is this course for? Individuals seeking to meet UK food safety training requirements. Professionals aiming to develop their food safety knowledge for supervisory or compliance roles. Beginners with an interest in food hygiene and regulatory standards. Business owners and managers in catering, hospitality, or food production. Career Path Food Safety Officer Catering Assistant Kitchen Supervisor Restaurant or Café Manager Food Retail Worker Compliance Assistant in Food Manufacturing