Overview There are few more satisfying professions than being a Teacher and opening new opportunities to others, so start training right now. This course is a comprehensive overview of the skills and techniques needed and used to teach students of all ages and abilities. The Teach the Teachers Level 3 course uses varied online interaction and useful assessments to train you in every ability required to operate as a Professional Teacher or TA. As well as the ethics, motivations, and principles of Teaching, you will learn much more. You will be shown how to educate adults, engage SEN children, support learning difficulties, improve communication and self-develop. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Teach the Teachers Level 3. It is available to all students, of all academic backgrounds. Requirements Our Teach the Teachers Level 3 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 12 sections • 12 lectures • 03:32:00 total length •Working with the School and its Policies: 00:26:00 •High-Quality Teaching for Pupils with SEN: 00:09:00 •SEN Teaching Methodologies: 00:21:00 •Communication and Interaction: 00:16:00 •Cognition and Learning: 00:20:00 •Social, Emotional and Mental Health Difficulties: 00:12:00 •Sensory or Physical Needs: 00:16:00 •Introduction to EYFS: 00:13:00 •Importance of Early Years in Development: 00:15:00 •EYFS Teaching Techniques: 00:15:00 •Working as an EYFS Teacher: 00:19:00 •Promoting Learning & Development: 00:30:00
This is the first module of a series designed to provide thorough, professional training in leatherworking and accessory making. Each module has been carefully designed to equip individuals with key skills for starting a career in this sector, broadening their industry knowledge, or embarking on their own journey with solid foundational skills. During the lesson, you will learn how to proficiently handle a variety of essential hand tools and how to distinguish leather types and understand their suitability for specific projects and techniques. You will gain insights into the technical aspects of leatherworking, including preparation, marking, cutting, gluing, reinforcing, skiving, debossing, and more. You will receive valuable handouts, curated lists of leather and tool suppliers for ongoing reference, and create personalised samples for your own reference. Summary of topics covered in the class: – Leather types, tanning, finishings, and best uses – Leather preparation, pattern placement and leather marking – Leather cutting, beveling and creasing – Leather gluing and reinforcing – Leather skiving – Tool sharpening By the end of the tuition, you will have: – Worked with a variety of tools and various leathers, creating a catalogue of samples to take home – Gained a comprehensive understanding of leather types and the ability to select the correct material for your project – Developed confidence in utilising a wide range of specific tools for leather preparation, marking, finishing, cutting and more – Acquired an understanding of working with diverse leather types and thicknesses, with the ability to source and select appropriate tools for the specific material you intend to use – Obtained a thorough understanding of the differences and best uses of reinforcements, stiffeners, and stabilisers Included in the course: You will receive useful paper handouts containing: – A list of tools and materials used during the lesson(s), with descriptions and usage instructions – A list of recommended suppliers for leather and fittings, both in London and online – A glossary of leather types and characteristics You will also be provided with catalogued material swatches, including: – Main leather types – Reinforcements, stiffeners, and stabilisers Find all modules here: https://the-london-leather-workshop.cademy.co.uk/
This comprehensive course combines teaching of essential phlebotomy theory online and classroom teaching of practical blood-taking skills. This comprehensive 2-day introductory course combines class-based teaching of essential theory in phlebotomy and practical blood-taking skills using simulated limbs. Our expert trainers will lead interactive presentations covering the requisite technical and scientific knowledge for practicing phlebotomy, after which you will spend a day developing your practical blood-drawing skills on simulated limbs. On completing this course, you will receive the UK-accredited Level 3 Certificate and be ready to progress to our Live Bloods Clinic Sessions (Part 2). Entry Requirements None, though all teaching is delivered in English. This course is suitable for: Individuals of any age, background, and level of qualifications seeking to train as phlebotomists Experienced healthcare or medical professionals seeking certification in phlebotomy Those looking for a solid point of entry into the healthcare sector Suitable for Any Background Our carefully designed training pathway provides all the tools you need to become a competent phlebotomist – whatever your age, background or previous experience! Nationally Accredited Level 3 Qualification Complete our online + classroom course and receive a Level 3 Certificate in Introduction to Phlebotomy (FP139) from the national awarding body, OCN Credit4Learning.
In January 2024 alone, reports were published about the SRA taking enforcement action against 3 firms and 4 individuals for failure to comply with the Money Laundering Regulations 2017. The fines issued for these non-compliances total over £570,000 plus costs. The absence of staff training, or requirement to complete additional training, was noted in a number of these cases. As a manager of a law firm, or more crucially an MLRO or MLCO, the ultimate responsibility for the firm's compliance, including with the MLR 2017, lies with you. It is your responsibility to ensure that the firm puts in place, reviews and updates compliant policies, controls and procedures. You must ensure that the firm maintains an up to date practice wide risk assessment. You are required to ensure that your employees are regularly given training on the MLR 2017 and associated risks. If a breach occurs, the SRA will take a wider look at the firm and identify any supervisory deficiencies that may have contributed to failures by fee earners or support staff. It has proven that it will not shy away from holding to account managers, compliance officers and MLRO/MLCOs for failures by their firms to comply with requirements of the MLR 2017. This course will cover the following to assist firms MLROs, MLCOs and Management with fulfilling their AML management responsibilities: How to comply with your obligations and stay compliant FWRA – linked with PCPs Mandatory AML Policies and Procedures - SRA have concerns Training and supervising staff Audits SRA requirements Reporting SARS POCA/TA Fulfilling reporting officer and compliance officer duties Target Audience The online course is suitable for MLROs, MLCOs, firm management and those supporting these roles. Resources Comprehensive and up to date course notes will be provided to all delegates which may be useful for ongoing reference or cascade training. Please note a recording of the course will not be made available. Speaker Helen Torresi, Consultant, DG Legal Helen is a qualified solicitor with a diverse professional background spanning leadership roles in both the legal and tech/corporate sectors. Throughout her career, she has held key positions such as COLP, HOLP, MLCO, MLRO and DPO for law firms and various regulated businesses and services. Helen’s specialised areas encompass AML, complaint and firm negligence handling, DPA compliance, file review and auditing, law management, and operational effectiveness in law firms, particularly in conveyancing (CQS).
We are delighted to welcome small groups of guests onsite as we offer personal tours of our Clapham campus. Personal tours are a great opportunity to take a look at our facilities, picture yourself studying with us, and get your questions answered by one of our friendly Marketing and Admissions team. We also recommend attending one of our regular Open House events which allows you to speak with our course leaders and admissions team.
5 QLS Endorsed Course With Certificates | 5-in-1 Bundle | CPD Accredited | Career Guided Program | Lifetime Access
Join our comprehensive face-to-face training course on Obstructive Lung Diseases designed for Registered Nurses (RNs) and Healthcare Assistants (HCAs). Enhance your skills in managing asthma, COPD, bronchitis, emphysema, bronchiectasis, and cystic fibrosis. Earn CPD-accredited certification from our Centre of Excellence. Enroll now! Are you a Registered Nurse (RN) or Healthcare Assistant (HCA) looking to deepen your knowledge of obstructive lung diseases? Our comprehensive face-to-face training course covers everything you need to know about asthma, COPD, bronchitis, emphysema, bronchiectasis, and cystic fibrosis. 🔹 Key Features: Engaging lectures and hands-on workshops Practical skills for effective patient care CPD-accredited certification from our Centre of Excellence Ideal for both new learners and as a refresher course 🔹 Why Enroll? Gain valuable insights into the pathophysiology, diagnosis, and management of obstructive lung diseases Learn from experienced professionals Improve your patient care techniques 🔹 Enroll Now! Visit our website for more details and to book your spot Don't miss out on this opportunity to enhance your professional skills!
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