44388 Learning courses

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

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.

Move up a Grade A Revision guide for students in all subjects at school, university and professional levels Course Information   Description Exams are a difficult time. Studying can be tedious and frustrating, but you have to put in the hours in to get the marks. There are no quick fixes, but you can get a better grade with a good revision strategy. This course presents the revision strategy I used to get the second highest mark in the finals of my accountancy qualifications and 10 A’s out of 11 exams through three years of accountancy study. The revision strategy is not complicated, and you still have to do the work – it’s not a magic solution – but it guides you through each phase of revision, and the exam itself, to help you get the best possible marks. I firmly believe that this revision strategy will get you a better mark than you would have without it. Thank you for your interest in this course. I hope this course will help you prepare for your exams   Course Pre-Requisites There are no pre-course requirements.   What Students will Learn How to structure your days and weeks during the revision period How to plan your revision An effective way to learn your material The importance of giving your mind a break – every day The importance of exam practice How to allocate the exam time over the questions How exam marks work To go for the marks, rather than for perfection What to do (and what not to do) on the day of the exam Tips for the exam A simple technique to reduce stress and boost learning     Curriculum SS1 Introduction and Agenda 3 mins SS2 Structure your Week 7 mins SS3 Start Each Day on a Positive Note 2 mins SS4 Revision Phase 1 2 mins SS5 Revision Phase 2 2 mins SS6 Give your Mind a Break 2 mins SS7 Revision Phase 3 5 mins SS8 Revision Phase 4 2 mins SS9 Exam Preparation 1 2 mins SS10 Exam Preparation 2 5 mins SS11 Emotional Freedom Technique 9 mins SS12 The Exam 5 mins SS13 Final Thoughts on Revision 6 mins SS14 Test your Knowledge 8 mins   Total time 1 hour    Additional Resources None     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in finance processes. Ross is also a professional author of online training courses for accountants. Ross lives in Scotland with his wife, daughter and Cocker Spaniel

Person-centred approaches are a core skills framework that articulates what it means to be person-centred and how to develop and support the workforce to work in this way. Developed in partnership with Skills for Health and Skills for Care, the Framework aims to distil best practices and to set out core, transferable behaviours, knowledge and skills. It is applicable across services and sectors and across different types of organisations. Person-centred approaches underpins existing dementia, learning disabilities, mental health and end of life care core skills frameworks. This subject forms standard 5 in The Care Certificate.

I'm delivering a short intro to the full Inspired Excellence programme called 1st Step to Excellence, on Friday, 9th February from 9:30 - 11am, where I'll share information about the program, answer your questions and whet your appetite with a couple of techniques that you and your children can start using straight away to 'train your brain'!

An instructor-led leadership learning programme based on emotional intelligence and social neuroscience, designed to boost leadership 'PowerSkills.' A practical programme that provides leaders with a learning journey that equips them with the tools and techniques to connect, empathise, communicate effectively, build employee engagement and influence.

Developing a solid foundation in Greek grammar will help you create your own sentences correctly and will also make it easier to improve your communication skills in both spoken and written Greek. So this course has been designed to help you steadily advance with the Greek language. Here, on the Greek Online School Learning Management System (LMS) you will find all the grammar phenomena that you need to know for the A2 Level (basic knowledge) in Greek, the language that influenced all European languages.

Please note that this round of training is available only to workforce based within, or supporting individuals living in Conwy County Sparc is a North Wales based. project. We work with adults with learning disabilities, their parents and the people who work with them. Sparc provide training sessions on friendships, relationships and sex so that adults with learning disabilities become more confident with dating and relationships. This training day for North Wales workforce is based on our experience so far in delivering this work, and what we have been told by the learning disability and/or autistic communities about how they would prefer to be supported Become a workplace champion in supporting the rights and opportunities for adults with learning disabilities and or autism to have happy and healthy friendships, romantic relationships and sex. This workshop is free of charge for practitioners within or supporting individuals living in CONWY COUNTY, funded by the North Wales Transformation Project for Seamless Services and UK Government Levelling Up Fund We invite enthusiastic representatives from workplaces across the region to join take part in this one day event focused on exploring and removing barriers faced by adults with learning disabilities and autism in forming and maintaining positive friendships and romantic relationships. During the course of the day participants will Explore the benefits of healthy and fulfilling friendships, relationships and sex Identify barriers to the above, presented both by wider societal structure and within their workplace settings Consider law and legislation outlining individuals rights to relationships and private life Explored best practice in facilitating and supporting relationships and friendships Have the opportunity to create a bespoke action plan to share information and support colleagues within their workplace setting Terms & conditions: Due to limited capacity we are offering this free training to a maximum of two representatives from each workplace or setting. If more than two staff from a workplace wish to book on please email corrina@sexeducationcompany.org to be added to the reserve list. We will contact you if a place becomes available. As part of the conditions of attendance you will be asked to share the learning gained on this course with your workplace and colleagues. Although this course is free of charge we will charge late cancellation administration fees as follows: No notification of non-attendance - £50, less than 48 hours notice of non-attendance £30, Less than 1 weeks notice of non-attendance £25. By registering on the course you agree to these charges on late cancellation or failure to attend. Prosiect yng Ngogledd Cymru yw Sparc. Mae'n gweithio gydag oedolion ag anableddau dysgu, eu rhieni a'r bobl sy'n gweithio gyda nhw. Mae Sparc yn ddarparu sesiynau hyfforddi ar gyfeillgarwch, perthnasoedd a rhyw fel bod oedolion ag anableddau dysgu yn dod yn fwy hyderus gyda pherthnasoedd ac wrth ddêtio. Beth am ddod yn hyrwyddwr yn y gweithle er mwyn cefnogi hawliau a chyfleoedd i oedolion ag anableddau dysgu a/neu awtistiaeth i gael cyfeillgarwch hapus ac iach, perthnasoedd rhamantus a rhyw. Mae’r gweithdy hwn yn rhad ac am ddim i ymarferwyr yn SIR GONWY, ac wedi ei ariannu gan Brosiect Gwasanaethau Di-dor Gogledd Cymru. Rydym yn estyn gwahoddiad i gynrychiolwyr brwdfrydig o weithleoedd drwy’r ardal i gymryd rhan yn ystod y diwrnod hwn sy’n canolbwyntio ar archwilio a chael gwared o’r rhwystrau sy’n wynebu oedolion ag anableddau dysgu ac awtistiaeth wrth iddynt lunio a chynnal cyfeillgarwch positif a pherthnasoedd rhamantus. Yn ystod y diwrnod bydd y rhai sy’n cymryd rhan yn cael cyfle i Archwilio manteision cyfeillgarwch, perthnasoedd a rhyw iach a bodlon Canfod yr elfennau sy’n rhwystro’r uchod, ac sy’n codi o ganlyniad i strwythur cymdeithasol ehangach a sefyllfaoedd o fewn y gweithle Ystyried y gyfraith a’r ddeddfwriaeth sy’n amlinellu hawliau’r unigolyn i berthnasoedd a bywyd preifat Archwilio ymarfer gorau wrth hwyluso a chefnogi perthnasoedd a chyfeillgarwch Cael y cyfle i greu cynllun gweithredu pwrpasol i rannu gwybodaeth a chefnogi cydweithwyr o fewn eu gweithle Telerau ac amodau: Gan fod lleoedd yn gyfyngedig rydym yn cynnig yr hyfforddiant rhad ac am ddim hwn, i ddau gynrychiolydd yn unig o bob gweithle neu leoliad gwaith. Fel rhan o’r amodau mynychu gofynnir ichi rannu’r hyn a ddysgwyd gennych ar y cwrs â’ch gweithle a’ch cydweithwyr. Er bod y cwrs hwn yn rhad ac am ddim byddwn yn codi ffi weinyddol os bydd lleoedd yn cael eu canslo’n hwyr, fel a ganlyn: Peidio â rhoi gwybod na fyddwch yn mynychu- £50, Llai na 48 awr o rybudd na fyddwch yn mynychu £30, Llai na 1 wythnos o rybudd na fyddwch yn mynychu £25. Drwy gofrestru ar y cwrs byddwch yn cytuno â’r costau hyn am ganslo hwyr neu beidio â mynychu.

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.

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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.