715 Courses delivered Live Online

LPS was introduced in the Mental Capacity (Amendment) Act 2019 and is designed to simplify the process of authorising the care and treatment of a person who lacks capacity to consent to it, where it constitutes a deprivation of liberty. The LPS system introduces new structures, roles, and responsibilities for organisations so it is essential that staff and managers understand the implementation of LPS.

This course will explore ways to support and enhance the quality of care provided to the individual approaching end of life, their families and their carers.

Are you struggling with the 'creeping kilograms?' Many of us find that not only has our weight increased over the last few years but the diets either no longer work or become harder and harder to commit to. This session will help you re-evaluate your approach to losing weight and give you the foundations for creating a plan that makes it easy for you to reach and maintain a weight that feels right for you. Take away a tool that will enable you to assess your eating type, whether you are a protein or carbohydrate based eater, and eating style, whether you prefer to be a grazer or three meals a day, and develop an eating plan that works for you. You will have the opportunity to: Explore the myths and reality of losing weight Examine self-defeating eating habits and how to replace them with energy enhancing food Learn about one change you can make today that will not only help you lose weight but improve your ability to think and manage your emotions more constructively

Course Outline: What is “Diversity and Inclusion”?  The Cultural Contact Lens - understanding different people's experiences  The Social Ecological Model - understanding how individual elements sit within and impact upon social change  Finding your ‘why’, and the Business Case for D&I  Going above and beyond the Law - the Equality Act (2010) and protected characteristics  Becoming comfortable with feeling uncomfortable  Privilege, power, and the Cycle of Oppression  An introduction to allyship  Summary and questions

This is a one-day training event to help you: Develop your awareness of mental health issues in the workplace Enable you to act in a timely and constructive way to manage mental health issues that arise in the workplace Enable you to promote and maintain good mental health in your working environment It covers: Mental health statistical overview; most prevalent mental health problems, contributing factors, effects on productivity and the costs of mental ill-health Signs and symptoms of prevalent mental health conditions; 3 key indicators for all mental health problems Stigma; what it is and how it affects people Mental health legal and statistical overview: facts & figures, most prevalent mental health problems, aspects of the law, policy and procedural issues and guidelines for best practice Pro-active and constructive principles and strategies to manage mental health issues, to support colleagues who may be vulnerable to mental ill-health, and promote mental wellbeing This workshop will give you: Awareness of the key indications of mental ill-health Recognition of the prevalence and effects of stigma Knowledge of the wider picture; legal context Greater understanding and confidence to act constructively to support individuals who are vulnerable to mental ill-health The ability to take steps to actively promote mental-well-being in the workplace

Are you an EDI Officer, HR Specialist, Leader or Manager? Or the nominated EDI champion for your team? Maybe you've been given the EDI portfolio on behalf of your Board or department? Or if you're aiming to make a difference via your diverse staff network or union, all change-makers are welcome!

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.

This course provides detailed safeguarding adults & children awareness, including essential knowledge in the recognition and reporting of abuse and neglect, procedures and responsibilities. This is for all workforce involved in Social Care from the health, public, independent, or voluntary sectors. This subject forms standard 10 & 11 in The Care Certificate.

Mental Health First Aid England Aware is an introductory course designed to increase mental health awareness and give an understanding of how to look after wellbeing and challenge stigma. Through an interactive instructor-led live session, you will learn: What mental health is and how to challenge stigma An introduction to some common mental health issues Confidence to support someone who may be experiencing mental ill health Ways to look after your own mental health and support wellbeing Outline What is mental health? Mental Health Continuum Factors that affect mental health Stigma Stress and stress management Spotting signs of distress Mental health conditions:DepressionAnxiety disordersPsychosisEating disordersSuicideSelf-harm Recovery Take 10 Together - starting a supportive conversation Supporting mental health in the workplace Useful statistics Helpful resources

The course seeks to improve the wellbeing and experience of people with dementia and of the care staff working with them. It should improve your confidence in managing situations you find challenging.