33057 Courses

A CPD accredited course to help you reduce your anxiety. A deeply reflective course exploring ways to reduce anxiety, learning coping strategies and setting goals for the future.

This session is a quick fire session into designing your vision and aligning your life. 90 minutes dedicated to your own development to ignite your reticular activator into setting yourself up for success in 2024.

During the 'own my life' sessions. We will explore the culture of abuse and violence, misogyny and disrespect in relationships. 'Own my life' is a 11-12 week programme that looks at healthy vs unhealthy and abusive relationships. The course explores how women can regain ownership of our lives following abuse including finding and owning our mind, body, choices, relationships, world, feelings. We will explore the culture of abuse and violence, misogyny and disrespect in relationships. We will use lots of resources to make it fun and informative and we will have lots of time for discussion. Sessions are all free and childcare can be provided. The link to the website is here: https://www.ownmylifecourse.org/what where you can find out more information. All women who attend will be given an 'Own My life' Journal which provides space for reflective practice and includes all the information provided throughout the course. -Suitable for women in abusive relationships or after they leave/ perpetrator is removed. Sessions are held weekly at the Sherwood community centre and are run by experienced, friendly and welcoming facilitators.

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.

Are you a manager in Early Years? Do you need some new skills to help manage your teams and be the best you can be? Then have a look at what this course covers and get in touch to book. Week 1. Exploring the role of a Manager in Early Years. Characteristics of an effective manager. Exploring different Leadership Styles and identifying your own. Looking after your own wellbeing. Week 2. How to manage difficult Conversations Exploring different personality types. Developing resillience. 4 Step process for managing a difficult conversation. Week 3. Creating Connection & Belonging within your team The importance of Connecting with a Diverse team. How to create a culture of connection & belonging. An introduction to Leading with Emotional Intelligence. We deliver this session on a one to one virtual platform or face to face. We can deliver to small groups but please contact us separately for costings. This specific course is for training one person at a time.

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.

The Fintech Frontier: Why FDs Need to Know About Fintech,” the podcast where we delve into the world of financial technology There are numerous areas where fintech can make a significant impact. For example, payment processing and reconciliation can be streamlined through digital payment solutions and automated tools. Data analytics and artificial intelligence can enhance financial forecasting, risk management, and fraud detection. Blockchain technology can revolutionize supply chain finance and streamline processes involving multiple parties. By understanding the capabilities of these fintech solutions, FDs can identify areas for improvement and select the right technologies to optimise their financial operations. Additionally, fintech can greatly enhance financial reporting and analysis. Advanced data analytics tools can extract meaningful insights from vast amounts of financial data, enabling FDs to make data-driven decisions and identify trends and patterns. Automation of repetitive tasks, such as data entry and reconciliation, reduces the risk of errors and frees up valuable time for FDs to focus on strategic initiatives. The adoption of cloud-based financial management systems also provides flexibility, scalability, and real-time access to financial data, empowering FDs to make informed decisions on the go. With the rapid pace of fintech advancements, how can FDs stay up to date and navigate the evolving fintech landscape? Continuous learning and engagement with the fintech community are key. Attend industry conferences, participate in webinars and workshops, and engage with fintech startups and established players. Networking with professionals in the field, joining fintech-focused associations, and following relevant publications and blogs can help FDs stay abreast of the latest fintech developments. Embracing a mindset of curiosity and adaptability is crucial in navigating the ever-changing fintech landscape. I would also encourage FDs to foster partnerships and collaborations with fintech companies. Engage in conversations with fintech providers to understand their solutions and explore potential synergies. By forging strategic partnerships, FDs can gain access to cutting-edge technologies and co-create innovative solutions tailored to their organisation’s unique needs. As we conclude, do you have any final thoughts or advice for our FD audience regarding fintech? Embrace fintech as an opportunity, not a threat. Seek to understand its potential and how it can align with your organisation’s goals and strategies. Be open to experimentation and pilot projects to test the viability of fintech solutions. Remember that fintech is a tool to enhance and optimize financial processes, and as FDs, we have a crucial role in driving its effective implementation. https://www.fdcapital.co.uk/podcast/the-fintech-frontier-why-fds-need-to-know-about-fintech/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #fintech #knowledge #fds #frontier

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 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 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